Update COMP3522-HKO processed dataset (2026-10-08T15:43:24+08:00)
Browse files- README.md +14 -3
- cedd/README.md +50 -0
- cedd/cedd_daily_rainfall.parquet +3 -0
- cedd/cedd_stations.csv +91 -0
- cowin/README.md +78 -0
- cowin/cowin_hourly_rainfall.parquet +3 -0
- cowin/cowin_labels_rainstorm_hourly.csv +0 -0
- cowin/cowin_stations.parquet +3 -0
- hko/README.md +204 -0
- hko/hko_daily_rainfall.csv +0 -0
- hko/hko_daily_temp.csv +0 -0
- hko/hko_daily_temp_wide.csv +0 -0
- hko/hko_daily_weather.csv +0 -0
- hko/hko_fnd_archive.csv +0 -0
- hko/hko_rainstorm_warning_history.csv +164 -0
- hko/hko_rhrread_archive.csv +0 -0
- hko/hko_rhrread_archive_summary.csv +0 -0
- hko/labels_warning_windows.csv +0 -0
- hko/stations.csv +15 -0
- open_meteo/README.md +112 -0
- open_meteo/om_historical_forecast_daily.parquet +3 -0
- open_meteo/om_historical_forecast_hourly.parquet +3 -0
- open_meteo/om_historical_weather_daily.parquet +3 -0
- open_meteo/om_historical_weather_hourly.parquet +3 -0
README.md
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---
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# `processed/` — auto-generated index
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> Auto-generated on 2026-10-08T15:41:25+08:00 by `scripts/generate_processed_readmes.py`. Each section below has its own dynamically generated README.
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## Sections
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- **[cedd](cedd/README.md)** — 2 files, 98,730 rows
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- **[cowin](cowin/README.md)** — 3 files, 576,471 rows
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- **[hko](hko/README.md)** — 10 files, 217,801 rows
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- **[open_meteo](open_meteo/README.md)** — 4 files, 767,200 rows
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## Getting the data
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`processed/` is self-contained: no file references `raw/`. The data folders are git-ignored (too large for GitHub); regenerate them with `scripts/flatten_hko_data.py`, then this documentation with `scripts/generate_processed_readmes.py`.
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cedd/README.md
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# `cedd` — auto-generated data guide
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> Auto-generated on 2026-10-08T15:41:25+08:00 by `scripts/generate_processed_readmes.py` from the files actually present in this directory. Do not edit by hand — re-run the generator (or `scripts/flatten_hko_data.py`) after the data changes.
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## Overview
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- **Files:** 2
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- **Total rows:** 98,730
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- **Total size:** 149.3 KB
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- **Sources:** cedd_geo
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- **Time coverage:** 2023-01-01 00:00:00 .. 2025-12-31 00:00:00
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- **Join keys:** use `station_id` / `station_code` to join to the station metadata table in this or the `hko` section; use the time column shown per file for temporal joins.
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## Files
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### `cedd_daily_rainfall.parquet`
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- **Format:** parquet · **Rows:** 98,640 · **Columns:** 10 · **Size:** 145.9 KB
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- **Purpose:** HKO CIS daily total rainfall
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- **Source:** cedd_geo
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- **Time coverage (`date`):** 2023-01-01 00:00:00 .. 2025-12-31 00:00:00
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- **station_id:** 90 distinct
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| Column | Type | Non-null | Range / values | Description |
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|---|---|---|---|---|
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| `date` | str | 98640/98640 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 00:00:00 | observation date |
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| `station_id` | str | 98640/98640 (100%) | 90 distinct; e.g. "H01" | AWS/CoWIN station identifier |
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| `station_name` | str | 98640/98640 (100%) | 61 distinct; e.g. "Mount Davis" | station name |
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| `easting` | int64 | 98640/98640 (100%) | range 804276 .. 855431 | field |
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| `northing` | int64 | 98640/98640 (100%) | range 802763 .. 842003 | field |
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| `value_raw` | str | 98640/98640 (100%) | 676 distinct; e.g. "0" | original value exactly as received (may be 'M' or 'Trace') |
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| `rain_mm_1d` | float64 | 97692/98640 (99%) | range 0 .. 622.5 | daily total rainfall (mm) |
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| `is_trace` | bool | 98640/98640 (100%) | True / False | TRUE when the raw rainfall value is 'Trace' (< 0.05 mm) |
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| `is_incomplete` | bool | 98640/98640 (100%) | True / False | field |
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| `source` | str | 98640/98640 (100%) | values: cedd_geo | source dataset identifier |
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### `cedd_stations.csv`
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- **Format:** CSV · **Rows:** 90 · **Columns:** 5 · **Size:** 3.4 KB
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- **Purpose:** HKO station metadata
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- **Source:** cedd_geo
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- **station_id:** 90 distinct
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| Column | Type | Non-null | Range / values | Description |
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|---|---|---|---|---|
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| `station_id` | str | 90/90 (100%) | 90 distinct; e.g. "H01" | AWS/CoWIN station identifier |
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| `station_name` | str | 90/90 (100%) | 61 distinct; e.g. "Mount Davis" | station name |
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| `easting` | int64 | 90/90 (100%) | range 804276 .. 855431 | field |
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| `northing` | int64 | 90/90 (100%) | range 802763 .. 842003 | field |
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| `source` | str | 90/90 (100%) | values: cedd_geo | source dataset identifier |
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cedd/cedd_daily_rainfall.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7c3556b1cf4e2fc545e0f565f818be0d5f0db6c2e61e0fab14d872fdd73e226
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size 149411
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cedd/cedd_stations.csv
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station_id,station_name,easting,northing,source
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H01,Mount Davis,830607,814883,cedd_geo
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H02,Kennedy Town,831226,815748,cedd_geo
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H03,Mount Davis,831790,813592,cedd_geo
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H04,Pokfulam,832306,816024,cedd_geo
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H05,Aberdeen,834419,812672,cedd_geo
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H06,Wan Chai,836209,814939,cedd_geo
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H07,Causeway Bay,837298,815215,cedd_geo
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H08,Happy Valley,837130,813918,cedd_geo
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H09,North Point,838742,816479,cedd_geo
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H10,Victoria Peak,832977,815184,cedd_geo
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H12,Mid-Level,833301,815740,cedd_geo
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H14,Chai Wan,842086,813774,cedd_geo
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H15,Stanley,840267,808547,cedd_geo
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H16,The Peak,833767,814303,cedd_geo
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H17,Mid-Level,834950,814765,cedd_geo
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H18,Quarry Bay,840253,815878,cedd_geo
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H19,Shau Kei Wan,841655,815228,cedd_geo
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H20,Ap Lei Chau,833516,811763,cedd_geo
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H23,Aberdeen,834934,811542,cedd_geo
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| 21 |
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H24,Aberdeen,835927,812499,cedd_geo
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| 22 |
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H25,Sheung Wan,833447,816657,cedd_geo
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H26,Tai Tam,840826,811961,cedd_geo
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H28,Shek O,843753,810693,cedd_geo
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H29,Siu Sai Wan,844043,814110,cedd_geo
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| 26 |
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H30,Repulse Bay,837669,811296,cedd_geo
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| 27 |
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K01,Homantin,836346,819525,cedd_geo
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| 28 |
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K02,Kowloon Tong,836480,822656,cedd_geo
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| 29 |
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K03,Kwun Tong,841188,819957,cedd_geo
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| 30 |
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K04,Choi Hung,841237,821549,cedd_geo
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| 31 |
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K05,Yau Tong,842912,817594,cedd_geo
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| 32 |
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K06,Cheung Sha Wan,834530,822371,cedd_geo
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| 33 |
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K07,Tsz Wan Shan,838661,823562,cedd_geo
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| 34 |
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K08,Lam Tin,842255,818602,cedd_geo
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| 35 |
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K09,San Po Kong,838209,821503,cedd_geo
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| 36 |
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K10,Stonecutters Island,832392,820905,cedd_geo
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| 37 |
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N01,Shatin,835336,824813,cedd_geo
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| 38 |
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N02,Shatin,838019,827550,cedd_geo
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| 39 |
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N03,North Tsuen Wan,831354,826091,cedd_geo
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| 40 |
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N04,Kwai Chung,831444,822913,cedd_geo
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| 41 |
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N05,Fanling,832596,839416,cedd_geo
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| 42 |
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N06,Kwai Chung,832403,824964,cedd_geo
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| 43 |
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N07,Tuen Mun,814657,828233,cedd_geo
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| 44 |
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N08,Sai Kung,843344,822264,cedd_geo
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| 45 |
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N09,Shatin,839925,830675,cedd_geo
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| 46 |
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N10,Sham Tseng,824255,825495,cedd_geo
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| 47 |
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N11,Tsing Yi,827699,821980,cedd_geo
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| 48 |
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N12,Yuen Long,820220,834088,cedd_geo
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| 49 |
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N13,Sai Kung,852916,826527,cedd_geo
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| 50 |
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N14,Tsuen Wan,830866,830191,cedd_geo
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| 51 |
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N15,Sai Kung,845889,827047,cedd_geo
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| 52 |
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N16,Tseung Kwan O,845360,819890,cedd_geo
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| 53 |
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N17,Lantau Island,811397,815539,cedd_geo
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| 54 |
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N18,Lantau Island,817992,814038,cedd_geo
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| 55 |
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N19,Lantau Island,805560,811362,cedd_geo
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| 56 |
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N20,Sai Kung,849044,816943,cedd_geo
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| 57 |
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N21,Lantau Island,811431,813837,cedd_geo
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| 58 |
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N22,Lantau Island,811987,810236,cedd_geo
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| 59 |
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N23,Lantau Island,817864,819365,cedd_geo
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| 60 |
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N24,Lantau Island,821182,821563,cedd_geo
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| 61 |
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N25,Peng Chau,821936,816232,cedd_geo
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| 62 |
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N26,Cheung Chau,820958,807601,cedd_geo
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| 63 |
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N27,Lamma Island,831596,807431,cedd_geo
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| 64 |
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N28,Nim Wan,811005,831653,cedd_geo
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| 65 |
+
N29,Tuen Mun,815827,830636,cedd_geo
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| 66 |
+
N30,Junk Bay,846409,817465,cedd_geo
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| 67 |
+
N31,Tai Lam Chung,820392,825596,cedd_geo
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| 68 |
+
N32,Tai Tong,821645,829722,cedd_geo
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| 69 |
+
N33,Fairview Park,823229,837363,cedd_geo
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| 70 |
+
N34,Sheung Shui,830245,842003,cedd_geo
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| 71 |
+
N35,Tai Po,833331,835601,cedd_geo
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| 72 |
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N36,Shek Kong,829768,832255,cedd_geo
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| 73 |
+
N37,Tsuen Wan,828849,829689,cedd_geo
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| 74 |
+
N38,Tsuen Wan,828954,826520,cedd_geo
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| 75 |
+
N39,Tsing Yi,828714,824832,cedd_geo
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| 76 |
+
N40,Kwai Chung,832828,827280,cedd_geo
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| 77 |
+
N41,Tai Po,836677,832233,cedd_geo
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| 78 |
+
N42,Shatin,837167,825730,cedd_geo
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| 79 |
+
N43,Shatin,840187,826944,cedd_geo
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| 80 |
+
N44,Ma On Shan,842933,831863,cedd_geo
|
| 81 |
+
N45,Tai Po,839249,835337,cedd_geo
|
| 82 |
+
N46,Plover Cove,843039,840715,cedd_geo
|
| 83 |
+
N47,Ma On Shan,844657,831931,cedd_geo
|
| 84 |
+
N48,Sai Kung,848830,828393,cedd_geo
|
| 85 |
+
N49,Tuen Mun,812303,825370,cedd_geo
|
| 86 |
+
N50,Sai Kung,844960,826228,cedd_geo
|
| 87 |
+
N51,Po Toi,844117,802763,cedd_geo
|
| 88 |
+
N52,Hoi Ha,851547,835422,cedd_geo
|
| 89 |
+
N53,Tai O,804276,812600,cedd_geo
|
| 90 |
+
N54,Shek Kwu Chau,816733,806068,cedd_geo
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| 91 |
+
N55,Tap Mun,855431,836545,cedd_geo
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cowin/README.md
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| 1 |
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# `cowin` — auto-generated data guide
|
| 2 |
+
|
| 3 |
+
> Auto-generated on 2026-10-08T15:41:25+08:00 by `scripts/generate_processed_readmes.py` from the files actually present in this directory. Do not edit by hand — re-run the generator (or `scripts/flatten_hko_data.py`) after the data changes.
|
| 4 |
+
|
| 5 |
+
## Overview
|
| 6 |
+
|
| 7 |
+
- **Files:** 3
|
| 8 |
+
- **Total rows:** 576,471
|
| 9 |
+
- **Total size:** 2292.6 KB
|
| 10 |
+
- **Sources:** hk_cowin
|
| 11 |
+
- **Time coverage:** 2023-01-01 00:00:00 .. 2025-12-31 23:00:00
|
| 12 |
+
- **Join keys:** use `station_id` / `station_code` to join to the station metadata table in this or the `hko` section; use the time column shown per file for temporal joins.
|
| 13 |
+
|
| 14 |
+
## Files
|
| 15 |
+
|
| 16 |
+
### `cowin_hourly_rainfall.parquet`
|
| 17 |
+
|
| 18 |
+
- **Format:** parquet · **Rows:** 549,702 · **Columns:** 6 · **Size:** 373.0 KB
|
| 19 |
+
- **Purpose:** HKU CoWIN QC hourly rainfall
|
| 20 |
+
- **Source:** hk_cowin
|
| 21 |
+
- **Time coverage (`obs_time_hkt`):** 2023-01-01 00:00:00 .. 2025-12-31 23:00:00
|
| 22 |
+
- **station_id:** 40 distinct
|
| 23 |
+
|
| 24 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 25 |
+
|---|---|---|---|---|
|
| 26 |
+
| `obs_time_hkt` | str | 549702/549702 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 23:00:00 | observation time (end of the 1-hour rainfall window) |
|
| 27 |
+
| `station_id` | str | 549702/549702 (100%) | 40 distinct; e.g. "6003" | AWS/CoWIN station identifier |
|
| 28 |
+
| `rain_mm_1h` | float64 | 549698/549702 (100%) | range 0 .. 249.5 | rainfall in the past hour (mm) |
|
| 29 |
+
| `qcscore` | str | 549702/549702 (100%) | values: G, M, F, X | CoWIN quality-control flag (G = good; M/F/X = flagged) |
|
| 30 |
+
| `year` | int64 | 549702/549702 (100%) | range 2023 .. 2025 | year |
|
| 31 |
+
| `source` | str | 549702/549702 (100%) | values: hk_cowin | source dataset identifier |
|
| 32 |
+
|
| 33 |
+
### `cowin_labels_rainstorm_hourly.csv`
|
| 34 |
+
|
| 35 |
+
- **Format:** CSV · **Rows:** 26,295 · **Columns:** 8 · **Size:** 1899.7 KB
|
| 36 |
+
- **Purpose:** CoWIN-based rainstorm-hour labels
|
| 37 |
+
- **Time coverage (`hour_end_hkt`):** 2023-01-01 00:00:00 .. 2025-12-31 23:00:00
|
| 38 |
+
|
| 39 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 40 |
+
|---|---|---|---|---|
|
| 41 |
+
| `hour_end_hkt` | str | 26295/26295 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 23:00:00 | hour-ending timestamp (HKT) |
|
| 42 |
+
| `any_station_amber` | bool | 26295/26295 (100%) | True / False | TRUE if any CoWIN station (QC=G) reached 30 mm/h |
|
| 43 |
+
| `any_station_red` | bool | 26295/26295 (100%) | True / False | TRUE if any CoWIN station (QC=G) reached 50 mm/h |
|
| 44 |
+
| `any_station_black` | bool | 26295/26295 (100%) | True / False | TRUE if any CoWIN station (QC=G) reached 70 mm/h |
|
| 45 |
+
| `n_amber` | int64 | 26295/26295 (100%) | range 0 .. 14 | number of stations reaching 30 mm/h |
|
| 46 |
+
| `n_red` | int64 | 26295/26295 (100%) | range 0 .. 8 | number of stations reaching 50 mm/h |
|
| 47 |
+
| `n_black` | int64 | 26295/26295 (100%) | range 0 .. 5 | number of stations reaching 70 mm/h |
|
| 48 |
+
| `label_basis` | str | 26295/26295 (100%) | values: any_cowin_station_qc_G | rule used to build the label (e.g. any_cowin_station_qc_G) |
|
| 49 |
+
|
| 50 |
+
### `cowin_stations.parquet`
|
| 51 |
+
|
| 52 |
+
- **Format:** parquet · **Rows:** 474 · **Columns:** 20 · **Size:** 19.9 KB
|
| 53 |
+
- **Purpose:** HKU CoWIN station metadata
|
| 54 |
+
- **Source:** hk_cowin
|
| 55 |
+
- **station_id:** 164 distinct
|
| 56 |
+
|
| 57 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 58 |
+
|---|---|---|---|---|
|
| 59 |
+
| `station_id` | str | 474/474 (100%) | 164 distinct; e.g. "1005" | AWS/CoWIN station identifier |
|
| 60 |
+
| `station_name` | str | 473/474 (100%) | 155 distinct; e.g. "Hon Wah College" | station name |
|
| 61 |
+
| `latitude` | float64 | 473/474 (100%) | range 22.21 .. 22.55 | requested station latitude |
|
| 62 |
+
| `longitude` | float64 | 473/474 (100%) | range 113.9 .. 114.3 | requested station longitude |
|
| 63 |
+
| `elevation` | float64 | 86/474 (18%) | range 3.3 .. 151.8 | station elevation (m) |
|
| 64 |
+
| `Jan` | str | 90/474 (19%) | values: Y | field |
|
| 65 |
+
| `Feb` | str | 88/474 (19%) | values: Y | field |
|
| 66 |
+
| `Mar` | str | 90/474 (19%) | values: Y | field |
|
| 67 |
+
| `Apr` | str | 84/474 (18%) | values: Y | field |
|
| 68 |
+
| `May` | str | 86/474 (18%) | values: Y | field |
|
| 69 |
+
| `Jun` | str | 83/474 (18%) | values: Y | field |
|
| 70 |
+
| `Jul` | str | 80/474 (17%) | values: Y | field |
|
| 71 |
+
| `Aug` | str | 84/474 (18%) | values: Y | field |
|
| 72 |
+
| `Sep` | str | 87/474 (18%) | values: Y | field |
|
| 73 |
+
| `Oct` | str | 88/474 (19%) | values: Y | field |
|
| 74 |
+
| `Nov` | str | 86/474 (18%) | values: Y | field |
|
| 75 |
+
| `Dec` | str | 88/474 (19%) | values: Y | field |
|
| 76 |
+
| `year` | float64 | 473/474 (100%) | range 2023 .. 2025 | year |
|
| 77 |
+
| `source` | str | 474/474 (100%) | values: hk_cowin | source dataset identifier |
|
| 78 |
+
| `metadata_missing` | object | 1/474 (0%) | values: True | TRUE when a rainfall station has no row in CoWIN available.csv |
|
cowin/cowin_hourly_rainfall.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b8d10ba52d7de9b6613db81d327af6ba70d1b613bf4b9012698648a02da8ea7
|
| 3 |
+
size 381913
|
cowin/cowin_labels_rainstorm_hourly.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
cowin/cowin_stations.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:859239da1db84a9ea52910f797dc4573a444538fb5f5763609ff3f5ae8f57e7b
|
| 3 |
+
size 20387
|
hko/README.md
ADDED
|
@@ -0,0 +1,204 @@
|
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|
|
|
|
|
|
| 1 |
+
# `hko` — auto-generated data guide
|
| 2 |
+
|
| 3 |
+
> Auto-generated on 2026-10-08T15:41:25+08:00 by `scripts/generate_processed_readmes.py` from the files actually present in this directory. Do not edit by hand — re-run the generator (or `scripts/flatten_hko_data.py`) after the data changes.
|
| 4 |
+
|
| 5 |
+
## Overview
|
| 6 |
+
|
| 7 |
+
- **Files:** 10
|
| 8 |
+
- **Total rows:** 217,801
|
| 9 |
+
- **Total size:** 24558.7 KB
|
| 10 |
+
- **Sources:** data_gov_hk_9day, data_gov_hk_rhrread, hko_cis_csvfile, hko_opendata_api
|
| 11 |
+
- **Time coverage:** 2023-01-01 00:00:00 .. 2026-10-08 15:07:51
|
| 12 |
+
- **Join keys:** use `station_id` / `station_code` to join to the station metadata table in this or the `hko` section; use the time column shown per file for temporal joins.
|
| 13 |
+
|
| 14 |
+
## Files
|
| 15 |
+
|
| 16 |
+
### `hko_daily_rainfall.csv`
|
| 17 |
+
|
| 18 |
+
- **Format:** CSV · **Rows:** 9,864 · **Columns:** 9 · **Size:** 695.5 KB
|
| 19 |
+
- **Purpose:** HKO CIS daily total rainfall
|
| 20 |
+
- **Source API:** hko_cis_csvfile
|
| 21 |
+
- **Time coverage (`date`):** 2023-01-01 00:00:00 .. 2025-12-31 00:00:00
|
| 22 |
+
- **station_code:** 9 distinct
|
| 23 |
+
|
| 24 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 25 |
+
|---|---|---|---|---|
|
| 26 |
+
| `station_code` | str | 9864/9864 (100%) | values: HKA, HPV, KP, LFS, PLC, SHA, SSP, TKL, VP1 | climate/temperature station code |
|
| 27 |
+
| `date` | str | 9864/9864 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 00:00:00 | observation date |
|
| 28 |
+
| `element` | str | 9864/9864 (100%) | values: daily_total_rainfall | measured element (e.g. temperature, max_temp_c) |
|
| 29 |
+
| `value_raw` | str | 9864/9864 (100%) | 523 distinct; e.g. "0.0" | original value exactly as received (may be 'M' or 'Trace') |
|
| 30 |
+
| `rain_mm_1d` | float64 | 9843/9864 (100%) | range 0 .. 433 | daily total rainfall (mm) |
|
| 31 |
+
| `unit` | str | 9864/9864 (100%) | values: mm | unit of the value column |
|
| 32 |
+
| `data_completeness` | str | 9843/9864 (100%) | values: C, # | completeness flag: C = complete, # = incomplete |
|
| 33 |
+
| `is_trace` | bool | 9864/9864 (100%) | True / False | TRUE when the raw rainfall value is 'Trace' (< 0.05 mm) |
|
| 34 |
+
| `source_api` | str | 9864/9864 (100%) | values: hko_cis_csvfile | source API / dataset identifier |
|
| 35 |
+
|
| 36 |
+
### `hko_daily_temp.csv`
|
| 37 |
+
|
| 38 |
+
- **Format:** CSV · **Rows:** 46,032 · **Columns:** 8 · **Size:** 4059.7 KB
|
| 39 |
+
- **Purpose:** HKO daily temperature
|
| 40 |
+
- **Source API:** hko_opendata_api
|
| 41 |
+
- **Time coverage (`date`):** 2023-01-01 00:00:00 .. 2025-12-31 00:00:00
|
| 42 |
+
- **station_code:** 14 distinct
|
| 43 |
+
|
| 44 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 45 |
+
|---|---|---|---|---|
|
| 46 |
+
| `station_code` | str | 46032/46032 (100%) | values: HKA, HKS, HPV, KP, KTG, LFS, NGP, PLC, SE1, SHA, SSP, STY, TK… | climate/temperature station code |
|
| 47 |
+
| `date` | str | 46032/46032 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 00:00:00 | observation date |
|
| 48 |
+
| `data_type` | str | 46032/46032 (100%) | values: CLMMAXT, CLMMINT, CLMTEMP | climate data type (CLMTEMP / CLMMAXT / CLMMINT) |
|
| 49 |
+
| `value_c` | float64 | 45630/46032 (99%) | range -0.1 .. 38.9 | temperature value (C) |
|
| 50 |
+
| `unit` | str | 46032/46032 (100%) | values: C | unit of the value column |
|
| 51 |
+
| `data_completeness` | str | 45896/46032 (100%) | values: C, # | completeness flag: C = complete, # = incomplete |
|
| 52 |
+
| `station_title_en` | str | 46032/46032 (100%) | 42 distinct; e.g. "Maximum Temperature (°C) - Hong Kong In…" | English dataset title from the API |
|
| 53 |
+
| `source_api` | str | 46032/46032 (100%) | values: hko_opendata_api | source API / dataset identifier |
|
| 54 |
+
|
| 55 |
+
### `hko_daily_temp_wide.csv`
|
| 56 |
+
|
| 57 |
+
- **Format:** CSV · **Rows:** 15,211 · **Columns:** 5 · **Size:** 458.9 KB
|
| 58 |
+
- **Purpose:** HKO daily temperature
|
| 59 |
+
- **Time coverage (`date`):** 2023-01-01 00:00:00 .. 2025-12-31 00:00:00
|
| 60 |
+
- **station_code:** 14 distinct
|
| 61 |
+
|
| 62 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 63 |
+
|---|---|---|---|---|
|
| 64 |
+
| `station_code` | str | 15211/15211 (100%) | values: HKA, HKS, HPV, KP, KTG, LFS, NGP, PLC, SE1, SHA, SSP, STY, TK… | climate/temperature station code |
|
| 65 |
+
| `date` | str | 15211/15211 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 00:00:00 | observation date |
|
| 66 |
+
| `mean_temp_c` | float64 | 15208/15211 (100%) | range 1.6 .. 33.3 | daily mean temperature (C) |
|
| 67 |
+
| `max_temp_c` | float64 | 15211/15211 (100%) | range 3.6 .. 38.9 | daily maximum temperature (C) |
|
| 68 |
+
| `min_temp_c` | float64 | 15211/15211 (100%) | range -0.1 .. 31.1 | daily minimum temperature (C) |
|
| 69 |
+
|
| 70 |
+
### `hko_daily_weather.csv`
|
| 71 |
+
|
| 72 |
+
- **Format:** CSV · **Rows:** 78,912 · **Columns:** 8 · **Size:** 6106.2 KB
|
| 73 |
+
- **Purpose:** HKO daily weather & radiation report (RYES)
|
| 74 |
+
- **Source API:** hko_opendata_api
|
| 75 |
+
- **location:** 34 distinct
|
| 76 |
+
|
| 77 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 78 |
+
|---|---|---|---|---|
|
| 79 |
+
| `report_date` | int64 | 78912/78912 (100%) | range 20230101 .. 20251231 | reported day (YYYYMMDD) |
|
| 80 |
+
| `bulletin_date` | int64 | 78912/78912 (100%) | range 20230102 .. 20260101 | bulletin issue date (YYYYMMDD) |
|
| 81 |
+
| `bulletin_time` | int64 | 78912/78912 (100%) | range 15 .. 120 | bulletin issue time (HHMM) |
|
| 82 |
+
| `location` | str | 78912/78912 (100%) | 34 distinct; e.g. "Chek Lap Kok" | location name |
|
| 83 |
+
| `element` | str | 78912/78912 (100%) | values: max_temp_c, min_temp_c, radiation_microsieverts_per…, accum_r… | measured element (e.g. temperature, max_temp_c) |
|
| 84 |
+
| `value` | float64 | 77397/78912 (98%) | range 0 .. 2774 | observation value |
|
| 85 |
+
| `unit` | str | 78912/78912 (100%) | values: C, microsievert/hour, mm, percent, index, hour | unit of the value column |
|
| 86 |
+
| `source_api` | str | 78912/78912 (100%) | values: hko_opendata_api | source API / dataset identifier |
|
| 87 |
+
|
| 88 |
+
### `hko_fnd_archive.csv`
|
| 89 |
+
|
| 90 |
+
- **Format:** CSV · **Rows:** 9,864 · **Columns:** 15 · **Size:** 7456.3 KB
|
| 91 |
+
- **Purpose:** HKO 9-day weather forecast snapshots
|
| 92 |
+
- **Source:** data_gov_hk_9day
|
| 93 |
+
- **Time coverage (`issue_datetime_hkt`):** 2023-01-01 16:30:00 .. 2025-12-31 16:30:00
|
| 94 |
+
|
| 95 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 96 |
+
|---|---|---|---|---|
|
| 97 |
+
| `issue_datetime_hkt` | str | 9864/9864 (100%) | 2023-01-01 16:30:00 .. 2025-12-31 16:30:00 | official issue time (ISO 8601 +08:00) |
|
| 98 |
+
| `archive_time_hkt` | str | 9864/9864 (100%) | 2023-01-01 20:01:00 .. 2025-12-31 20:02:00 | timestamp (HKT) |
|
| 99 |
+
| `issue_date` | str | 9864/9864 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 00:00:00 | field |
|
| 100 |
+
| `target_date` | str | 9864/9864 (100%) | 2023-01-02 00:00:00 .. 2026-01-09 00:00:00 | calendar day being forecast |
|
| 101 |
+
| `lead_time_days` | int64 | 9864/9864 (100%) | range 1 .. 9 | target_date minus issue_date_proxy |
|
| 102 |
+
| `week` | str | 9864/9864 (100%) | values: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday | day of week at the target date |
|
| 103 |
+
| `forecast_weather_text` | str | 9864/9864 (100%) | 2083 distinct; e.g. "Mainly cloudy. One or two light rain pa…" | raw HKO forecast description |
|
| 104 |
+
| `forecast_wind` | str | 9864/9864 (100%) | 958 distinct; e.g. "North to northeast force 3 to 4." | forecast wind description |
|
| 105 |
+
| `forecast_max_temp_c` | int64 | 9864/9864 (100%) | range 10 .. 36 | forecast daily maximum temperature (C) |
|
| 106 |
+
| `forecast_min_temp_c` | int64 | 9864/9864 (100%) | range 6 .. 29 | forecast daily minimum temperature (C) |
|
| 107 |
+
| `forecast_max_rh_percent` | int64 | 9864/9864 (100%) | range 45 .. 100 | forecast maximum relative humidity (%) |
|
| 108 |
+
| `forecast_min_rh_percent` | int64 | 9864/9864 (100%) | range 20 .. 85 | forecast minimum relative humidity (%) |
|
| 109 |
+
| `psr` | str | 9864/9864 (100%) | values: Low, Medium Low, Medium, Medium High, High | Probability of Significant Rain (High/Medium/Low) - categorical, not mm |
|
| 110 |
+
| `general_situation` | str | 9864/9864 (100%) | 1094 distinct; e.g. "The northeast monsoon will continue to …" | HKO general situation text for the forecast |
|
| 111 |
+
| `source` | str | 9864/9864 (100%) | values: data_gov_hk_9day | source dataset identifier |
|
| 112 |
+
|
| 113 |
+
### `hko_rainstorm_warning_history.csv`
|
| 114 |
+
|
| 115 |
+
- **Format:** CSV · **Rows:** 163 · **Columns:** 14 · **Size:** 38.6 KB
|
| 116 |
+
- **Purpose:** HKO historical rainstorm warning issue/cancel times
|
| 117 |
+
- **Time coverage (`collected_at_hkt`):** 2026-10-08 15:07:51 .. 2026-10-08 15:07:51
|
| 118 |
+
|
| 119 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 120 |
+
|---|---|---|---|---|
|
| 121 |
+
| `warning_id` | str | 163/163 (100%) | 163 distinct; e.g. "RS-20230325T1220-A" | unique rainstorm warning event ID |
|
| 122 |
+
| `episode_id` | str | 163/163 (100%) | 105 distinct; e.g. "RS-EP-20230325T1220" | linked escalation episode ID (Amber -> Red -> Black chain) |
|
| 123 |
+
| `episode_warning_index` | int64 | 163/163 (100%) | range 1 .. 8 | position within the escalation episode |
|
| 124 |
+
| `warning_color` | str | 163/163 (100%) | values: Amber, Red, Black | Amber / Red / Black |
|
| 125 |
+
| `warning_code` | str | 163/163 (100%) | values: WRAINA, WRAINR, WRAINB | WRAINA / WRAINR / WRAINB |
|
| 126 |
+
| `issue_datetime_hkt` | str | 163/163 (100%) | 2023-03-25 12:20:00 .. 2025-09-24 15:20:00 | official issue time (ISO 8601 +08:00) |
|
| 127 |
+
| `cancel_datetime_hkt` | str | 163/163 (100%) | 2023-03-25 15:20:00 .. 2025-09-24 20:00:00 | official cancel time (ISO 8601 +08:00) |
|
| 128 |
+
| `duration_minutes` | int64 | 163/163 (100%) | range 20 .. 995 | cancel minus issue, in minutes |
|
| 129 |
+
| `year` | int64 | 163/163 (100%) | range 2023 .. 2025 | year |
|
| 130 |
+
| `month` | int64 | 163/163 (100%) | range 3 .. 10 | month |
|
| 131 |
+
| `source_url` | str | 163/163 (100%) | values: https://www.hko.gov.hk/dps/… | provenance URL of the source dataset |
|
| 132 |
+
| `raw_text` | str | 163/163 (100%) | 163 distinct; e.g. "A 2023 3 25 12 20 2023 3 25 15 20 03 00" | original source record line |
|
| 133 |
+
| `notes` | float64 | 0/163 (0%) | no data | processing notes (e.g. hour-24 normalization) |
|
| 134 |
+
| `collected_at_hkt` | str | 163/163 (100%) | 2026-10-08 15:07:51 .. 2026-10-08 15:07:51 | when the API was called (HKT) |
|
| 135 |
+
|
| 136 |
+
### `hko_rhrread_archive.csv`
|
| 137 |
+
|
| 138 |
+
- **Format:** CSV · **Rows:** 30,341 · **Columns:** 7 · **Size:** 3069.6 KB
|
| 139 |
+
- **Purpose:** current weather report (rhrread)
|
| 140 |
+
- **Source:** data_gov_hk_rhrread
|
| 141 |
+
- **Time coverage (`issue_datetime_hkt`):** 2023-01-01 22:31:00 .. 2025-12-31 22:02:00
|
| 142 |
+
|
| 143 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 144 |
+
|---|---|---|---|---|
|
| 145 |
+
| `issue_datetime_hkt` | str | 30341/30341 (100%) | 2023-01-01 22:31:00 .. 2025-12-31 22:02:00 | official issue time (ISO 8601 +08:00) |
|
| 146 |
+
| `archive_time_hkt` | str | 30341/30341 (100%) | 2023-01-01 23:01:00 .. 2025-12-31 23:02:00 | timestamp (HKT) |
|
| 147 |
+
| `element` | str | 30341/30341 (100%) | values: humidity, temperature | measured element (e.g. temperature, max_temp_c) |
|
| 148 |
+
| `place` | str | 30341/30341 (100%) | 27 distinct; e.g. "Hong Kong Observatory" | district or place name |
|
| 149 |
+
| `value` | int64 | 30341/30341 (100%) | range 5 .. 96 | observation value |
|
| 150 |
+
| `unit` | str | 30341/30341 (100%) | values: percent, C | unit of the value column |
|
| 151 |
+
| `source` | str | 30341/30341 (100%) | values: data_gov_hk_rhrread | source dataset identifier |
|
| 152 |
+
|
| 153 |
+
### `hko_rhrread_archive_summary.csv`
|
| 154 |
+
|
| 155 |
+
- **Format:** CSV · **Rows:** 1,096 · **Columns:** 5 · **Size:** 137.1 KB
|
| 156 |
+
- **Purpose:** current weather report (rhrread)
|
| 157 |
+
- **Source:** data_gov_hk_rhrread
|
| 158 |
+
- **Time coverage (`issue_datetime_hkt`):** 2023-01-01 22:31:00 .. 2025-12-31 22:02:00
|
| 159 |
+
|
| 160 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 161 |
+
|---|---|---|---|---|
|
| 162 |
+
| `issue_datetime_hkt` | str | 1096/1096 (100%) | 2023-01-01 22:31:00 .. 2025-12-31 22:02:00 | official issue time (ISO 8601 +08:00) |
|
| 163 |
+
| `archive_time_hkt` | str | 1096/1096 (100%) | 2023-01-01 23:01:00 .. 2025-12-31 23:02:00 | timestamp (HKT) |
|
| 164 |
+
| `warning_text` | str | 401/1096 (37%) | 95 distinct; e.g. "The Fire Danger Warning is Yellow and t…" | field |
|
| 165 |
+
| `station_count` | int64 | 1096/1096 (100%) | range 22 .. 26 | field |
|
| 166 |
+
| `source` | str | 1096/1096 (100%) | values: data_gov_hk_rhrread | source dataset identifier |
|
| 167 |
+
|
| 168 |
+
### `labels_warning_windows.csv`
|
| 169 |
+
|
| 170 |
+
- **Format:** CSV · **Rows:** 26,304 · **Columns:** 8 · **Size:** 2533.6 KB
|
| 171 |
+
- **Purpose:** Task 3(b) rainstorm warning prediction-window labels (3/6/12h)
|
| 172 |
+
|
| 173 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 174 |
+
|---|---|---|---|---|
|
| 175 |
+
| `anchor_time_hkt` | str | 26304/26304 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 23:00:00 | prediction anchor time (hourly, HKT) |
|
| 176 |
+
| `label_warning_3h` | int64 | 26304/26304 (100%) | range 0 .. 1 | 1 if a rainstorm warning is issued within the next 3 hours |
|
| 177 |
+
| `label_warning_6h` | int64 | 26304/26304 (100%) | range 0 .. 1 | 1 if a rainstorm warning is issued within the next 6 hours |
|
| 178 |
+
| `label_warning_12h` | int64 | 26304/26304 (100%) | range 0 .. 1 | 1 if a rainstorm warning is issued within the next 12 hours |
|
| 179 |
+
| `next_warning_issue_hkt` | str | 23944/26304 (91%) | 2023-03-25 12:20:00 .. 2025-09-24 15:20:00 | issue time of the next warning after the anchor (reference only; leaks the future) |
|
| 180 |
+
| `hours_to_next_warning` | float64 | 23944/26304 (91%) | range 0.083 .. 4606 | hours from the anchor to the next warning (reference only; leaks the future) |
|
| 181 |
+
| `next_warning_color` | str | 23944/26304 (91%) | values: Amber, Red, Black | Amber/Red/Black of the next warning (reference only; leaks the future) |
|
| 182 |
+
| `label_basis` | str | 26304/26304 (100%) | values: warning_issued_within_next_… | rule used to build the label (e.g. any_cowin_station_qc_G) |
|
| 183 |
+
|
| 184 |
+
### `stations.csv`
|
| 185 |
+
|
| 186 |
+
- **Format:** CSV · **Rows:** 14 · **Columns:** 13 · **Size:** 3.2 KB
|
| 187 |
+
- **Purpose:** HKO station metadata
|
| 188 |
+
- **station_id:** 14 distinct
|
| 189 |
+
|
| 190 |
+
| Column | Type | Non-null | Range / values | Description |
|
| 191 |
+
|---|---|---|---|---|
|
| 192 |
+
| `station_id` | str | 14/14 (100%) | values: RF028, RF024, RF015, RF013, H24, RF027, H15, RF022, K03, RF02… | AWS/CoWIN station identifier |
|
| 193 |
+
| `station_name` | str | 14/14 (100%) | values: The Peak, King's Park, Ta Kwu Ling, Ngong Ping, Wong Chuk Han… | station name |
|
| 194 |
+
| `region` | str | 14/14 (100%) | values: Hong Kong Island, Kowloon, New Territories, Lantau | geographic region (Hong Kong Island / Kowloon / New Territories / Lantau) |
|
| 195 |
+
| `temperature_station_code` | str | 14/14 (100%) | values: VP1, KP, TKL, NGP, HKS, HPV, STY, SSP, KTG, SE1, SHA, LFS, PL… | HKO daily-temperature station code |
|
| 196 |
+
| `rainfall_station_id` | str | 14/14 (100%) | values: RF028, RF024, RF015, RF013, H24, RF027, H15, RF022, K03, RF02… | HKO AWS rainfall station ID |
|
| 197 |
+
| `latitude` | float64 | 14/14 (100%) | range 22.22 .. 22.5 | requested station latitude |
|
| 198 |
+
| `longitude` | float64 | 14/14 (100%) | range 113.9 .. 114.2 | requested station longitude |
|
| 199 |
+
| `station_type` | str | 14/14 (100%) | values: AWS | station type (AWS / climate station) |
|
| 200 |
+
| `selected_for_task1` | bool | 14/14 (100%) | True / False | TRUE if used for Task 1 (forecast reliability/validity) |
|
| 201 |
+
| `selected_for_task3` | bool | 14/14 (100%) | True / False | TRUE if used for Task 3 (rainstorm labels/warnings) |
|
| 202 |
+
| `selected` | bool | 14/14 (100%) | True / False | TRUE if the station is selected for collection |
|
| 203 |
+
| `coordinates_verified` | bool | 14/14 (100%) | True / False | TRUE once coordinates are verified against the official dataset |
|
| 204 |
+
| `notes` | str | 14/14 (100%) | values: Core station; AWS rainfall …, Core station; AWS rainfall …, B… | processing notes (e.g. hour-24 normalization) |
|
hko/hko_daily_rainfall.csv
ADDED
|
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|
|
|
hko/hko_daily_temp.csv
ADDED
|
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|
|
|
hko/hko_daily_temp_wide.csv
ADDED
|
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|
|
|
hko/hko_daily_weather.csv
ADDED
|
The diff for this file is too large to render.
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|
|
|
hko/hko_fnd_archive.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
hko/hko_rainstorm_warning_history.csv
ADDED
|
@@ -0,0 +1,164 @@
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| 1 |
+
warning_id,episode_id,episode_warning_index,warning_color,warning_code,issue_datetime_hkt,cancel_datetime_hkt,duration_minutes,year,month,source_url,raw_text,notes,collected_at_hkt
|
| 2 |
+
RS-20230325T1220-A,RS-EP-20230325T1220,1,Amber,WRAINA,2023-03-25T12:20:00+08:00,2023-03-25T15:20:00+08:00,180,2023,3,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 3 25 12 20 2023 3 25 15 20 03 00,,2026-10-08T15:07:51+08:00
|
| 3 |
+
RS-20230419T1015-A,RS-EP-20230419T1015,1,Amber,WRAINA,2023-04-19T10:15:00+08:00,2023-04-19T12:15:00+08:00,120,2023,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 4 19 10 15 2023 4 19 12 15 02 00,,2026-10-08T15:07:51+08:00
|
| 4 |
+
RS-20230421T0200-A,RS-EP-20230421T0200,1,Amber,WRAINA,2023-04-21T02:00:00+08:00,2023-04-21T06:30:00+08:00,270,2023,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 4 21 2 0 2023 4 21 6 30 04 30,,2026-10-08T15:07:51+08:00
|
| 5 |
+
RS-20230424T1615-A,RS-EP-20230424T1615,1,Amber,WRAINA,2023-04-24T16:15:00+08:00,2023-04-24T17:15:00+08:00,60,2023,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 4 24 16 15 2023 4 24 17 15 01 00,,2026-10-08T15:07:51+08:00
|
| 6 |
+
RS-20230507T1210-A,RS-EP-20230507T1210,1,Amber,WRAINA,2023-05-07T12:10:00+08:00,2023-05-07T13:35:00+08:00,85,2023,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 5 7 12 10 2023 5 7 13 35 01 25,,2026-10-08T15:07:51+08:00
|
| 7 |
+
RS-20230507T1335-R,RS-EP-20230507T1210,2,Red,WRAINR,2023-05-07T13:35:00+08:00,2023-05-07T14:45:00+08:00,70,2023,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2023 5 7 13 35 2023 5 7 14 45 01 10,,2026-10-08T15:07:51+08:00
|
| 8 |
+
RS-20230507T1445-A,RS-EP-20230507T1210,3,Amber,WRAINA,2023-05-07T14:45:00+08:00,2023-05-07T15:15:00+08:00,30,2023,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 5 7 14 45 2023 5 7 15 15 00 30,,2026-10-08T15:07:51+08:00
|
| 9 |
+
RS-20230517T1110-A,RS-EP-20230517T1110,1,Amber,WRAINA,2023-05-17T11:10:00+08:00,2023-05-17T13:00:00+08:00,110,2023,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 5 17 11 10 2023 5 17 13 0 01 50,,2026-10-08T15:07:51+08:00
|
| 10 |
+
RS-20230523T0430-A,RS-EP-20230523T0430,1,Amber,WRAINA,2023-05-23T04:30:00+08:00,2023-05-23T08:45:00+08:00,255,2023,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 5 23 4 30 2023 5 23 8 45 04 15,,2026-10-08T15:07:51+08:00
|
| 11 |
+
RS-20230601T0515-A,RS-EP-20230601T0515,1,Amber,WRAINA,2023-06-01T05:15:00+08:00,2023-06-01T08:00:00+08:00,165,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 6 1 5 15 2023 6 1 8 0 02 45,,2026-10-08T15:07:51+08:00
|
| 12 |
+
RS-20230606T1020-A,RS-EP-20230606T1020,1,Amber,WRAINA,2023-06-06T10:20:00+08:00,2023-06-06T13:35:00+08:00,195,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 6 6 10 20 2023 6 6 13 35 03 15,,2026-10-08T15:07:51+08:00
|
| 13 |
+
RS-20230610T2000-A,RS-EP-20230610T2000,1,Amber,WRAINA,2023-06-10T20:00:00+08:00,2023-06-10T21:15:00+08:00,75,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 6 10 20 0 2023 6 10 21 15 01 15,,2026-10-08T15:07:51+08:00
|
| 14 |
+
RS-20230613T2250-A,RS-EP-20230613T2250,1,Amber,WRAINA,2023-06-13T22:50:00+08:00,2023-06-14T05:50:00+08:00,420,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 6 13 22 50 2023 6 14 5 50 07 00,,2026-10-08T15:07:51+08:00
|
| 15 |
+
RS-20230614T2310-A,RS-EP-20230614T2310,1,Amber,WRAINA,2023-06-14T23:10:00+08:00,2023-06-15T05:30:00+08:00,380,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 6 14 23 10 2023 6 15 5 30 06 20,,2026-10-08T15:07:51+08:00
|
| 16 |
+
RS-20230616T0940-A,RS-EP-20230616T0940,1,Amber,WRAINA,2023-06-16T09:40:00+08:00,2023-06-16T14:00:00+08:00,260,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 6 16 9 40 2023 6 16 14 0 04 20,,2026-10-08T15:07:51+08:00
|
| 17 |
+
RS-20230617T1240-A,RS-EP-20230617T1240,1,Amber,WRAINA,2023-06-17T12:40:00+08:00,2023-06-17T14:05:00+08:00,85,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 6 17 12 40 2023 6 17 14 5 01 25,,2026-10-08T15:07:51+08:00
|
| 18 |
+
RS-20230617T1405-R,RS-EP-20230617T1240,2,Red,WRAINR,2023-06-17T14:05:00+08:00,2023-06-17T16:15:00+08:00,130,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2023 6 17 14 5 2023 6 17 16 15 02 10,,2026-10-08T15:07:51+08:00
|
| 19 |
+
RS-20230617T1615-A,RS-EP-20230617T1240,3,Amber,WRAINA,2023-06-17T16:15:00+08:00,2023-06-17T17:05:00+08:00,50,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 6 17 16 15 2023 6 17 17 5 00 50,,2026-10-08T15:07:51+08:00
|
| 20 |
+
RS-20230618T0835-A,RS-EP-20230618T0835,1,Amber,WRAINA,2023-06-18T08:35:00+08:00,2023-06-18T10:05:00+08:00,90,2023,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 6 18 8 35 2023 6 18 10 5 01 30,,2026-10-08T15:07:51+08:00
|
| 21 |
+
RS-20230717T1750-A,RS-EP-20230717T1750,1,Amber,WRAINA,2023-07-17T17:50:00+08:00,2023-07-17T19:30:00+08:00,100,2023,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 7 17 17 50 2023 7 17 19 30 01 40,,2026-10-08T15:07:51+08:00
|
| 22 |
+
RS-20230729T0810-A,RS-EP-20230729T0810,1,Amber,WRAINA,2023-07-29T08:10:00+08:00,2023-07-29T09:10:00+08:00,60,2023,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 7 29 8 10 2023 7 29 9 10 01 00,,2026-10-08T15:07:51+08:00
|
| 23 |
+
RS-20230729T0910-R,RS-EP-20230729T0810,2,Red,WRAINR,2023-07-29T09:10:00+08:00,2023-07-29T10:10:00+08:00,60,2023,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2023 7 29 9 10 2023 7 29 10 10 01 00,,2026-10-08T15:07:51+08:00
|
| 24 |
+
RS-20230729T1010-A,RS-EP-20230729T0810,3,Amber,WRAINA,2023-07-29T10:10:00+08:00,2023-07-29T10:40:00+08:00,30,2023,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 7 29 10 10 2023 7 29 10 40 00 30,,2026-10-08T15:07:51+08:00
|
| 25 |
+
RS-20230729T2245-A,RS-EP-20230729T2245,1,Amber,WRAINA,2023-07-29T22:45:00+08:00,2023-07-30T00:30:00+08:00,105,2023,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 7 29 22 45 2023 7 30 0 30 01 45,,2026-10-08T15:07:51+08:00
|
| 26 |
+
RS-20230731T0100-A,RS-EP-20230731T0100,1,Amber,WRAINA,2023-07-31T01:00:00+08:00,2023-07-31T03:20:00+08:00,140,2023,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 7 31 1 0 2023 7 31 3 20 02 20,,2026-10-08T15:07:51+08:00
|
| 27 |
+
RS-20230810T1310-A,RS-EP-20230810T1310,1,Amber,WRAINA,2023-08-10T13:10:00+08:00,2023-08-10T15:45:00+08:00,155,2023,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 8 10 13 10 2023 8 10 15 45 02 35,,2026-10-08T15:07:51+08:00
|
| 28 |
+
RS-20230811T0130-A,RS-EP-20230811T0130,1,Amber,WRAINA,2023-08-11T01:30:00+08:00,2023-08-11T03:30:00+08:00,120,2023,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 8 11 1 30 2023 8 11 3 30 02 00,,2026-10-08T15:07:51+08:00
|
| 29 |
+
RS-20230813T1005-A,RS-EP-20230813T1005,1,Amber,WRAINA,2023-08-13T10:05:00+08:00,2023-08-13T11:15:00+08:00,70,2023,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 8 13 10 5 2023 8 13 11 15 01 10,,2026-10-08T15:07:51+08:00
|
| 30 |
+
RS-20230818T1030-A,RS-EP-20230818T1030,1,Amber,WRAINA,2023-08-18T10:30:00+08:00,2023-08-18T13:00:00+08:00,150,2023,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 8 18 10 30 2023 8 18 13 0 02 30,,2026-10-08T15:07:51+08:00
|
| 31 |
+
RS-20230819T1155-A,RS-EP-20230819T1155,1,Amber,WRAINA,2023-08-19T11:55:00+08:00,2023-08-19T13:40:00+08:00,105,2023,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 8 19 11 55 2023 8 19 13 40 01 45,,2026-10-08T15:07:51+08:00
|
| 32 |
+
RS-20230901T1945-A,RS-EP-20230901T1945,1,Amber,WRAINA,2023-09-01T19:45:00+08:00,2023-09-02T01:00:00+08:00,315,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 9 1 19 45 2023 9 2 1 0 05 15,,2026-10-08T15:07:51+08:00
|
| 33 |
+
RS-20230907T2125-A,RS-EP-20230907T2125,1,Amber,WRAINA,2023-09-07T21:25:00+08:00,2023-09-07T21:50:00+08:00,25,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 9 7 21 25 2023 9 7 21 50 00 25,,2026-10-08T15:07:51+08:00
|
| 34 |
+
RS-20230907T2150-R,RS-EP-20230907T2125,2,Red,WRAINR,2023-09-07T21:50:00+08:00,2023-09-07T23:05:00+08:00,75,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2023 9 7 21 50 2023 9 7 23 5 01 15,,2026-10-08T15:07:51+08:00
|
| 35 |
+
RS-20230907T2305-B,RS-EP-20230907T2125,3,Black,WRAINB,2023-09-07T23:05:00+08:00,2023-09-08T15:40:00+08:00,995,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,B 2023 9 7 23 5 2023 9 8 15 40 16 35,,2026-10-08T15:07:51+08:00
|
| 36 |
+
RS-20230908T1540-A,RS-EP-20230907T2125,4,Amber,WRAINA,2023-09-08T15:40:00+08:00,2023-09-08T16:45:00+08:00,65,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 9 8 15 40 2023 9 8 16 45 01 05,,2026-10-08T15:07:51+08:00
|
| 37 |
+
RS-20230910T0625-A,RS-EP-20230910T0625,1,Amber,WRAINA,2023-09-10T06:25:00+08:00,2023-09-10T08:55:00+08:00,150,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 9 10 6 25 2023 9 10 8 55 02 30,,2026-10-08T15:07:51+08:00
|
| 38 |
+
RS-20230914T0355-A,RS-EP-20230914T0355,1,Amber,WRAINA,2023-09-14T03:55:00+08:00,2023-09-14T05:55:00+08:00,120,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 9 14 3 55 2023 9 14 5 55 02 00,,2026-10-08T15:07:51+08:00
|
| 39 |
+
RS-20230914T0555-R,RS-EP-20230914T0355,2,Red,WRAINR,2023-09-14T05:55:00+08:00,2023-09-14T10:30:00+08:00,275,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2023 9 14 5 55 2023 9 14 10 30 04 35,,2026-10-08T15:07:51+08:00
|
| 40 |
+
RS-20230914T1030-A,RS-EP-20230914T0355,3,Amber,WRAINA,2023-09-14T10:30:00+08:00,2023-09-14T11:45:00+08:00,75,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 9 14 10 30 2023 9 14 11 45 01 15,,2026-10-08T15:07:51+08:00
|
| 41 |
+
RS-20230915T1955-A,RS-EP-20230915T1955,1,Amber,WRAINA,2023-09-15T19:55:00+08:00,2023-09-15T20:40:00+08:00,45,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 9 15 19 55 2023 9 15 20 40 00 45,,2026-10-08T15:07:51+08:00
|
| 42 |
+
RS-20230915T2040-R,RS-EP-20230915T1955,2,Red,WRAINR,2023-09-15T20:40:00+08:00,2023-09-15T22:00:00+08:00,80,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2023 9 15 20 40 2023 9 15 22 0 01 20,,2026-10-08T15:07:51+08:00
|
| 43 |
+
RS-20230915T2200-A,RS-EP-20230915T1955,3,Amber,WRAINA,2023-09-15T22:00:00+08:00,2023-09-15T23:45:00+08:00,105,2023,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 9 15 22 0 2023 9 15 23 45 01 45,,2026-10-08T15:07:51+08:00
|
| 44 |
+
RS-20231008T2025-A,RS-EP-20231008T2025,1,Amber,WRAINA,2023-10-08T20:25:00+08:00,2023-10-09T01:55:00+08:00,330,2023,10,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 10 8 20 25 2023 10 9 1 55 05 30,,2026-10-08T15:07:51+08:00
|
| 45 |
+
RS-20231009T0155-R,RS-EP-20231008T2025,2,Red,WRAINR,2023-10-09T01:55:00+08:00,2023-10-09T04:00:00+08:00,125,2023,10,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2023 10 9 1 55 2023 10 9 4 0 02 05,,2026-10-08T15:07:51+08:00
|
| 46 |
+
RS-20231009T0400-B,RS-EP-20231008T2025,3,Black,WRAINB,2023-10-09T04:00:00+08:00,2023-10-09T10:30:00+08:00,390,2023,10,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,B 2023 10 9 4 0 2023 10 9 10 30 06 30,,2026-10-08T15:07:51+08:00
|
| 47 |
+
RS-20231009T1030-R,RS-EP-20231008T2025,4,Red,WRAINR,2023-10-09T10:30:00+08:00,2023-10-09T14:30:00+08:00,240,2023,10,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2023 10 9 10 30 2023 10 9 14 30 04 00,,2026-10-08T15:07:51+08:00
|
| 48 |
+
RS-20231009T1430-A,RS-EP-20231008T2025,5,Amber,WRAINA,2023-10-09T14:30:00+08:00,2023-10-09T17:45:00+08:00,195,2023,10,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2023 10 9 14 30 2023 10 9 17 45 03 15,,2026-10-08T15:07:51+08:00
|
| 49 |
+
RS-20240418T1300-A,RS-EP-20240418T1300,1,Amber,WRAINA,2024-04-18T13:00:00+08:00,2024-04-18T14:05:00+08:00,65,2024,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 4 18 13 0 2024 4 18 14 5 01 05,,2026-10-08T15:07:51+08:00
|
| 50 |
+
RS-20240420T1935-A,RS-EP-20240420T1935,1,Amber,WRAINA,2024-04-20T19:35:00+08:00,2024-04-20T22:30:00+08:00,175,2024,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 4 20 19 35 2024 4 20 22 30 02 55,,2026-10-08T15:07:51+08:00
|
| 51 |
+
RS-20240421T1000-A,RS-EP-20240421T1000,1,Amber,WRAINA,2024-04-21T10:00:00+08:00,2024-04-21T13:45:00+08:00,225,2024,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 4 21 10 0 2024 4 21 13 45 03 45,,2026-10-08T15:07:51+08:00
|
| 52 |
+
RS-20240423T0830-A,RS-EP-20240423T0830,1,Amber,WRAINA,2024-04-23T08:30:00+08:00,2024-04-23T12:50:00+08:00,260,2024,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 4 23 8 30 2024 4 23 12 50 04 20,,2026-10-08T15:07:51+08:00
|
| 53 |
+
RS-20240426T0835-A,RS-EP-20240426T0835,1,Amber,WRAINA,2024-04-26T08:35:00+08:00,2024-04-26T13:45:00+08:00,310,2024,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 4 26 8 35 2024 4 26 13 45 05 10,,2026-10-08T15:07:51+08:00
|
| 54 |
+
RS-20240430T2130-A,RS-EP-20240430T2130,1,Amber,WRAINA,2024-04-30T21:30:00+08:00,2024-04-30T23:00:00+08:00,90,2024,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 4 30 21 30 2024 4 30 23 0 01 30,,2026-10-08T15:07:51+08:00
|
| 55 |
+
RS-20240501T0415-A,RS-EP-20240501T0415,1,Amber,WRAINA,2024-05-01T04:15:00+08:00,2024-05-01T07:00:00+08:00,165,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 5 1 4 15 2024 5 1 7 0 02 45,,2026-10-08T15:07:51+08:00
|
| 56 |
+
RS-20240504T0740-A,RS-EP-20240504T0740,1,Amber,WRAINA,2024-05-04T07:40:00+08:00,2024-05-04T08:55:00+08:00,75,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 5 4 7 40 2024 5 4 8 55 01 15,,2026-10-08T15:07:51+08:00
|
| 57 |
+
RS-20240504T0855-R,RS-EP-20240504T0740,2,Red,WRAINR,2024-05-04T08:55:00+08:00,2024-05-04T15:50:00+08:00,415,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2024 5 4 8 55 2024 5 4 15 50 06 55,,2026-10-08T15:07:51+08:00
|
| 58 |
+
RS-20240504T1550-A,RS-EP-20240504T0740,3,Amber,WRAINA,2024-05-04T15:50:00+08:00,2024-05-04T20:45:00+08:00,295,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 5 4 15 50 2024 5 4 20 45 04 55,,2026-10-08T15:07:51+08:00
|
| 59 |
+
RS-20240521T1000-A,RS-EP-20240521T1000,1,Amber,WRAINA,2024-05-21T10:00:00+08:00,2024-05-21T14:50:00+08:00,290,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 5 21 10 0 2024 5 21 14 50 04 50,,2026-10-08T15:07:51+08:00
|
| 60 |
+
RS-20240521T1450-R,RS-EP-20240521T1000,2,Red,WRAINR,2024-05-21T14:50:00+08:00,2024-05-21T16:00:00+08:00,70,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2024 5 21 14 50 2024 5 21 16 0 01 10,,2026-10-08T15:07:51+08:00
|
| 61 |
+
RS-20240521T1600-A,RS-EP-20240521T1000,3,Amber,WRAINA,2024-05-21T16:00:00+08:00,2024-05-21T16:30:00+08:00,30,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 5 21 16 0 2024 5 21 16 30 00 30,,2026-10-08T15:07:51+08:00
|
| 62 |
+
RS-20240524T1210-A,RS-EP-20240524T1210,1,Amber,WRAINA,2024-05-24T12:10:00+08:00,2024-05-24T13:20:00+08:00,70,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 5 24 12 10 2024 5 24 13 20 01 10,,2026-10-08T15:07:51+08:00
|
| 63 |
+
RS-20240527T0750-A,RS-EP-20240527T0750,1,Amber,WRAINA,2024-05-27T07:50:00+08:00,2024-05-27T09:00:00+08:00,70,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 5 27 7 50 2024 5 27 9 0 01 10,,2026-10-08T15:07:51+08:00
|
| 64 |
+
RS-20240528T0020-A,RS-EP-20240528T0020,1,Amber,WRAINA,2024-05-28T00:20:00+08:00,2024-05-28T02:15:00+08:00,115,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 5 28 0 20 2024 5 28 2 15 01 55,,2026-10-08T15:07:51+08:00
|
| 65 |
+
RS-20240531T1530-A,RS-EP-20240531T1530,1,Amber,WRAINA,2024-05-31T15:30:00+08:00,2024-05-31T17:00:00+08:00,90,2024,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 5 31 15 30 2024 5 31 17 0 01 30,,2026-10-08T15:07:51+08:00
|
| 66 |
+
RS-20240601T0325-A,RS-EP-20240601T0325,1,Amber,WRAINA,2024-06-01T03:25:00+08:00,2024-06-01T05:40:00+08:00,135,2024,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 6 1 3 25 2024 6 1 5 40 02 15,,2026-10-08T15:07:51+08:00
|
| 67 |
+
RS-20240603T1010-A,RS-EP-20240603T1010,1,Amber,WRAINA,2024-06-03T10:10:00+08:00,2024-06-03T13:00:00+08:00,170,2024,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 6 3 10 10 2024 6 3 13 0 02 50,,2026-10-08T15:07:51+08:00
|
| 68 |
+
RS-20240609T0715-A,RS-EP-20240609T0715,1,Amber,WRAINA,2024-06-09T07:15:00+08:00,2024-06-09T12:10:00+08:00,295,2024,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 6 9 7 15 2024 6 9 12 10 04 55,,2026-10-08T15:07:51+08:00
|
| 69 |
+
RS-20240614T0925-A,RS-EP-20240614T0925,1,Amber,WRAINA,2024-06-14T09:25:00+08:00,2024-06-14T10:00:00+08:00,35,2024,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 6 14 9 25 2024 6 14 10 0 00 35,,2026-10-08T15:07:51+08:00
|
| 70 |
+
RS-20240614T1000-R,RS-EP-20240614T0925,2,Red,WRAINR,2024-06-14T10:00:00+08:00,2024-06-14T11:30:00+08:00,90,2024,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2024 6 14 10 0 2024 6 14 11 30 01 30,,2026-10-08T15:07:51+08:00
|
| 71 |
+
RS-20240614T1130-A,RS-EP-20240614T0925,3,Amber,WRAINA,2024-06-14T11:30:00+08:00,2024-06-14T13:10:00+08:00,100,2024,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 6 14 11 30 2024 6 14 13 10 01 40,,2026-10-08T15:07:51+08:00
|
| 72 |
+
RS-20240615T0600-A,RS-EP-20240615T0600,1,Amber,WRAINA,2024-06-15T06:00:00+08:00,2024-06-15T08:10:00+08:00,130,2024,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 6 15 6 0 2024 6 15 8 10 02 10,,2026-10-08T15:07:51+08:00
|
| 73 |
+
RS-20240615T1255-A,RS-EP-20240615T1255,1,Amber,WRAINA,2024-06-15T12:55:00+08:00,2024-06-15T16:30:00+08:00,215,2024,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 6 15 12 55 2024 6 15 16 30 03 35,,2026-10-08T15:07:51+08:00
|
| 74 |
+
RS-20240615T1750-A,RS-EP-20240615T1750,1,Amber,WRAINA,2024-06-15T17:50:00+08:00,2024-06-15T19:45:00+08:00,115,2024,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 6 15 17 50 2024 6 15 19 45 01 55,,2026-10-08T15:07:51+08:00
|
| 75 |
+
RS-20240714T1900-A,RS-EP-20240714T1900,1,Amber,WRAINA,2024-07-14T19:00:00+08:00,2024-07-14T21:35:00+08:00,155,2024,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 7 14 19 0 2024 7 14 21 35 02 35,,2026-10-08T15:07:51+08:00
|
| 76 |
+
RS-20240716T0535-A,RS-EP-20240716T0535,1,Amber,WRAINA,2024-07-16T05:35:00+08:00,2024-07-16T07:25:00+08:00,110,2024,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 7 16 5 35 2024 7 16 7 25 01 50,,2026-10-08T15:07:51+08:00
|
| 77 |
+
RS-20240718T1345-A,RS-EP-20240718T1345,1,Amber,WRAINA,2024-07-18T13:45:00+08:00,2024-07-18T16:00:00+08:00,135,2024,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 7 18 13 45 2024 7 18 16 0 02 15,,2026-10-08T15:07:51+08:00
|
| 78 |
+
RS-20240727T0900-A,RS-EP-20240727T0900,1,Amber,WRAINA,2024-07-27T09:00:00+08:00,2024-07-27T12:50:00+08:00,230,2024,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 7 27 9 0 2024 7 27 12 50 03 50,,2026-10-08T15:07:51+08:00
|
| 79 |
+
RS-20240728T0550-A,RS-EP-20240728T0550,1,Amber,WRAINA,2024-07-28T05:50:00+08:00,2024-07-28T10:40:00+08:00,290,2024,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 7 28 5 50 2024 7 28 10 40 04 50,,2026-10-08T15:07:51+08:00
|
| 80 |
+
RS-20240731T0735-A,RS-EP-20240731T0735,1,Amber,WRAINA,2024-07-31T07:35:00+08:00,2024-07-31T10:45:00+08:00,190,2024,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 7 31 7 35 2024 7 31 10 45 03 10,,2026-10-08T15:07:51+08:00
|
| 81 |
+
RS-20240806T1345-A,RS-EP-20240806T1345,1,Amber,WRAINA,2024-08-06T13:45:00+08:00,2024-08-06T14:45:00+08:00,60,2024,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 8 6 13 45 2024 8 6 14 45 01 00,,2026-10-08T15:07:51+08:00
|
| 82 |
+
RS-20240812T0755-A,RS-EP-20240812T0755,1,Amber,WRAINA,2024-08-12T07:55:00+08:00,2024-08-12T10:00:00+08:00,125,2024,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 8 12 7 55 2024 8 12 10 0 02 05,,2026-10-08T15:07:51+08:00
|
| 83 |
+
RS-20240815T1140-A,RS-EP-20240815T1140,1,Amber,WRAINA,2024-08-15T11:40:00+08:00,2024-08-15T12:40:00+08:00,60,2024,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 8 15 11 40 2024 8 15 12 40 01 00,,2026-10-08T15:07:51+08:00
|
| 84 |
+
RS-20240817T0535-A,RS-EP-20240817T0535,1,Amber,WRAINA,2024-08-17T05:35:00+08:00,2024-08-17T10:55:00+08:00,320,2024,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 8 17 5 35 2024 8 17 10 55 05 20,,2026-10-08T15:07:51+08:00
|
| 85 |
+
RS-20240818T0605-A,RS-EP-20240818T0605,1,Amber,WRAINA,2024-08-18T06:05:00+08:00,2024-08-18T09:00:00+08:00,175,2024,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 8 18 6 5 2024 8 18 9 0 02 55,,2026-10-08T15:07:51+08:00
|
| 86 |
+
RS-20240819T1335-A,RS-EP-20240819T1335,1,Amber,WRAINA,2024-08-19T13:35:00+08:00,2024-08-19T15:00:00+08:00,85,2024,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 8 19 13 35 2024 8 19 15 0 01 25,,2026-10-08T15:07:51+08:00
|
| 87 |
+
RS-20240820T0545-A,RS-EP-20240820T0545,1,Amber,WRAINA,2024-08-20T05:45:00+08:00,2024-08-20T06:45:00+08:00,60,2024,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 8 20 5 45 2024 8 20 6 45 01 00,,2026-10-08T15:07:51+08:00
|
| 88 |
+
RS-20240828T1650-A,RS-EP-20240828T1650,1,Amber,WRAINA,2024-08-28T16:50:00+08:00,2024-08-28T19:00:00+08:00,130,2024,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 8 28 16 50 2024 8 28 19 0 02 10,,2026-10-08T15:07:51+08:00
|
| 89 |
+
RS-20240903T2225-A,RS-EP-20240903T2225,1,Amber,WRAINA,2024-09-03T22:25:00+08:00,2024-09-03T23:50:00+08:00,85,2024,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 9 3 22 25 2024 9 3 23 50 01 25,,2026-10-08T15:07:51+08:00
|
| 90 |
+
RS-20240905T2130-A,RS-EP-20240905T2130,1,Amber,WRAINA,2024-09-05T21:30:00+08:00,2024-09-05T23:40:00+08:00,130,2024,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 9 5 21 30 2024 9 5 23 40 02 10,,2026-10-08T15:07:51+08:00
|
| 91 |
+
RS-20240906T0235-A,RS-EP-20240906T0235,1,Amber,WRAINA,2024-09-06T02:35:00+08:00,2024-09-06T04:25:00+08:00,110,2024,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 9 6 2 35 2024 9 6 4 25 01 50,,2026-10-08T15:07:51+08:00
|
| 92 |
+
RS-20240906T1915-A,RS-EP-20240906T1915,1,Amber,WRAINA,2024-09-06T19:15:00+08:00,2024-09-07T00:50:00+08:00,335,2024,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 9 6 19 15 2024 9 7 0 50 05 35,,2026-10-08T15:07:51+08:00
|
| 93 |
+
RS-20240917T2150-A,RS-EP-20240917T2150,1,Amber,WRAINA,2024-09-17T21:50:00+08:00,2024-09-17T23:50:00+08:00,120,2024,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 9 17 21 50 2024 9 17 23 50 02 00,,2026-10-08T15:07:51+08:00
|
| 94 |
+
RS-20240921T1145-A,RS-EP-20240921T1145,1,Amber,WRAINA,2024-09-21T11:45:00+08:00,2024-09-21T12:05:00+08:00,20,2024,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 9 21 11 45 2024 9 21 12 5 00 20,,2026-10-08T15:07:51+08:00
|
| 95 |
+
RS-20240921T1205-R,RS-EP-20240921T1145,2,Red,WRAINR,2024-09-21T12:05:00+08:00,2024-09-21T13:20:00+08:00,75,2024,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2024 9 21 12 5 2024 9 21 13 20 01 15,,2026-10-08T15:07:51+08:00
|
| 96 |
+
RS-20240921T1320-A,RS-EP-20240921T1145,3,Amber,WRAINA,2024-09-21T13:20:00+08:00,2024-09-21T13:55:00+08:00,35,2024,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 9 21 13 20 2024 9 21 13 55 00 35,,2026-10-08T15:07:51+08:00
|
| 97 |
+
RS-20240924T1110-A,RS-EP-20240924T1110,1,Amber,WRAINA,2024-09-24T11:10:00+08:00,2024-09-24T13:45:00+08:00,155,2024,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2024 9 24 11 10 2024 9 24 13 45 02 35,,2026-10-08T15:07:51+08:00
|
| 98 |
+
RS-20250315T1500-A,RS-EP-20250315T1500,1,Amber,WRAINA,2025-03-15T15:00:00+08:00,2025-03-15T16:35:00+08:00,95,2025,3,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 3 15 15 0 2025 3 15 16 35 01 35,,2026-10-08T15:07:51+08:00
|
| 99 |
+
RS-20250425T0400-A,RS-EP-20250425T0400,1,Amber,WRAINA,2025-04-25T04:00:00+08:00,2025-04-25T05:15:00+08:00,75,2025,4,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 4 25 4 0 2025 4 25 5 15 01 15,,2026-10-08T15:07:51+08:00
|
| 100 |
+
RS-20250507T1322-A,RS-EP-20250507T1322,1,Amber,WRAINA,2025-05-07T13:22:00+08:00,2025-05-07T14:25:00+08:00,63,2025,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 5 7 13 22 2025 5 7 14 25 01 03,,2026-10-08T15:07:51+08:00
|
| 101 |
+
RS-20250529T1625-A,RS-EP-20250529T1625,1,Amber,WRAINA,2025-05-29T16:25:00+08:00,2025-05-29T18:45:00+08:00,140,2025,5,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 5 29 16 25 2025 5 29 18 45 02 20,,2026-10-08T15:07:51+08:00
|
| 102 |
+
RS-20250617T0730-A,RS-EP-20250617T0730,1,Amber,WRAINA,2025-06-17T07:30:00+08:00,2025-06-17T10:20:00+08:00,170,2025,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 6 17 7 30 2025 6 17 10 20 02 50,,2026-10-08T15:07:51+08:00
|
| 103 |
+
RS-20250626T1705-A,RS-EP-20250626T1705,1,Amber,WRAINA,2025-06-26T17:05:00+08:00,2025-06-26T19:05:00+08:00,120,2025,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 6 26 17 5 2025 6 26 19 5 02 00,,2026-10-08T15:07:51+08:00
|
| 104 |
+
RS-20250628T0055-A,RS-EP-20250628T0055,1,Amber,WRAINA,2025-06-28T00:55:00+08:00,2025-06-28T01:55:00+08:00,60,2025,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 6 28 0 55 2025 6 28 1 55 01 00,,2026-10-08T15:07:51+08:00
|
| 105 |
+
RS-20250630T2355-A,RS-EP-20250630T2355,1,Amber,WRAINA,2025-06-30T23:55:00+08:00,2025-07-01T01:10:00+08:00,75,2025,6,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 6 30 23 55 2025 7 1 1 10 01 15,,2026-10-08T15:07:51+08:00
|
| 106 |
+
RS-20250709T2300-A,RS-EP-20250709T2300,1,Amber,WRAINA,2025-07-09T23:00:00+08:00,2025-07-09T23:45:00+08:00,45,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 9 23 0 2025 7 9 23 45 00 45,,2026-10-08T15:07:51+08:00
|
| 107 |
+
RS-20250709T2345-R,RS-EP-20250709T2300,2,Red,WRAINR,2025-07-09T23:45:00+08:00,2025-07-10T00:45:00+08:00,60,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 7 9 23 45 2025 7 10 0 45 01 00,,2026-10-08T15:07:51+08:00
|
| 108 |
+
RS-20250710T0045-A,RS-EP-20250709T2300,3,Amber,WRAINA,2025-07-10T00:45:00+08:00,2025-07-10T01:40:00+08:00,55,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 10 0 45 2025 7 10 1 40 00 55,,2026-10-08T15:07:51+08:00
|
| 109 |
+
RS-20250710T0835-A,RS-EP-20250710T0835,1,Amber,WRAINA,2025-07-10T08:35:00+08:00,2025-07-10T09:36:00+08:00,61,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 10 8 35 2025 7 10 9 36 01 01,,2026-10-08T15:07:51+08:00
|
| 110 |
+
RS-20250710T0936-R,RS-EP-20250710T0835,2,Red,WRAINR,2025-07-10T09:36:00+08:00,2025-07-10T10:40:00+08:00,64,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 7 10 9 36 2025 7 10 10 40 01 04,,2026-10-08T15:07:51+08:00
|
| 111 |
+
RS-20250710T1040-A,RS-EP-20250710T0835,3,Amber,WRAINA,2025-07-10T10:40:00+08:00,2025-07-10T12:40:00+08:00,120,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 10 10 40 2025 7 10 12 40 02 00,,2026-10-08T15:07:51+08:00
|
| 112 |
+
RS-20250710T1240-R,RS-EP-20250710T0835,4,Red,WRAINR,2025-07-10T12:40:00+08:00,2025-07-10T15:30:00+08:00,170,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 7 10 12 40 2025 7 10 15 30 02 50,,2026-10-08T15:07:51+08:00
|
| 113 |
+
RS-20250710T1530-A,RS-EP-20250710T0835,5,Amber,WRAINA,2025-07-10T15:30:00+08:00,2025-07-10T20:00:00+08:00,270,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 10 15 30 2025 7 10 20 0 04 30,,2026-10-08T15:07:51+08:00
|
| 114 |
+
RS-20250718T1115-A,RS-EP-20250718T1115,1,Amber,WRAINA,2025-07-18T11:15:00+08:00,2025-07-18T13:00:00+08:00,105,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 18 11 15 2025 7 18 13 0 01 45,,2026-10-08T15:07:51+08:00
|
| 115 |
+
RS-20250720T1510-A,RS-EP-20250720T1510,1,Amber,WRAINA,2025-07-20T15:10:00+08:00,2025-07-20T15:45:00+08:00,35,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 20 15 10 2025 7 20 15 45 00 35,,2026-10-08T15:07:51+08:00
|
| 116 |
+
RS-20250720T1545-R,RS-EP-20250720T1510,2,Red,WRAINR,2025-07-20T15:45:00+08:00,2025-07-20T17:00:00+08:00,75,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 7 20 15 45 2025 7 20 17 0 01 15,,2026-10-08T15:07:51+08:00
|
| 117 |
+
RS-20250720T1700-A,RS-EP-20250720T1510,3,Amber,WRAINA,2025-07-20T17:00:00+08:00,2025-07-20T18:15:00+08:00,75,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 20 17 0 2025 7 20 18 15 01 15,,2026-10-08T15:07:51+08:00
|
| 118 |
+
RS-20250722T2000-A,RS-EP-20250722T2000,1,Amber,WRAINA,2025-07-22T20:00:00+08:00,2025-07-22T23:45:00+08:00,225,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 22 20 0 2025 7 22 23 45 03 45,,2026-10-08T15:07:51+08:00
|
| 119 |
+
RS-20250725T1910-A,RS-EP-20250725T1910,1,Amber,WRAINA,2025-07-25T19:10:00+08:00,2025-07-25T19:40:00+08:00,30,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 25 19 10 2025 7 25 19 40 00 30,,2026-10-08T15:07:51+08:00
|
| 120 |
+
RS-20250725T1940-R,RS-EP-20250725T1910,2,Red,WRAINR,2025-07-25T19:40:00+08:00,2025-07-25T20:40:00+08:00,60,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 7 25 19 40 2025 7 25 20 40 01 00,,2026-10-08T15:07:51+08:00
|
| 121 |
+
RS-20250725T2040-A,RS-EP-20250725T1910,3,Amber,WRAINA,2025-07-25T20:40:00+08:00,2025-07-25T21:10:00+08:00,30,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 25 20 40 2025 7 25 21 10 00 30,,2026-10-08T15:07:51+08:00
|
| 122 |
+
RS-20250729T0805-A,RS-EP-20250729T0805,1,Amber,WRAINA,2025-07-29T08:05:00+08:00,2025-07-29T08:40:00+08:00,35,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 29 8 5 2025 7 29 8 40 00 35,,2026-10-08T15:07:51+08:00
|
| 123 |
+
RS-20250729T0840-R,RS-EP-20250729T0805,2,Red,WRAINR,2025-07-29T08:40:00+08:00,2025-07-29T09:10:00+08:00,30,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 7 29 8 40 2025 7 29 9 10 00 30,,2026-10-08T15:07:51+08:00
|
| 124 |
+
RS-20250729T0910-B,RS-EP-20250729T0805,3,Black,WRAINB,2025-07-29T09:10:00+08:00,2025-07-29T11:05:00+08:00,115,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,B 2025 7 29 9 10 2025 7 29 11 5 01 55,,2026-10-08T15:07:51+08:00
|
| 125 |
+
RS-20250729T1105-R,RS-EP-20250729T0805,4,Red,WRAINR,2025-07-29T11:05:00+08:00,2025-07-29T11:45:00+08:00,40,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 7 29 11 5 2025 7 29 11 45 00 40,,2026-10-08T15:07:51+08:00
|
| 126 |
+
RS-20250729T1145-A,RS-EP-20250729T0805,5,Amber,WRAINA,2025-07-29T11:45:00+08:00,2025-07-29T14:15:00+08:00,150,2025,7,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 7 29 11 45 2025 7 29 14 15 02 30,,2026-10-08T15:07:51+08:00
|
| 127 |
+
RS-20250802T0650-A,RS-EP-20250802T0650,1,Amber,WRAINA,2025-08-02T06:50:00+08:00,2025-08-02T09:10:00+08:00,140,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 2 6 50 2025 8 2 9 10 02 20,,2026-10-08T15:07:51+08:00
|
| 128 |
+
RS-20250802T0910-R,RS-EP-20250802T0650,2,Red,WRAINR,2025-08-02T09:10:00+08:00,2025-08-02T09:45:00+08:00,35,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 8 2 9 10 2025 8 2 9 45 00 35,,2026-10-08T15:07:51+08:00
|
| 129 |
+
RS-20250802T0945-B,RS-EP-20250802T0650,3,Black,WRAINB,2025-08-02T09:45:00+08:00,2025-08-02T11:45:00+08:00,120,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,B 2025 8 2 9 45 2025 8 2 11 45 02 00,,2026-10-08T15:07:51+08:00
|
| 130 |
+
RS-20250802T1145-R,RS-EP-20250802T0650,4,Red,WRAINR,2025-08-02T11:45:00+08:00,2025-08-02T12:30:00+08:00,45,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 8 2 11 45 2025 8 2 12 30 00 45,,2026-10-08T15:07:51+08:00
|
| 131 |
+
RS-20250802T1230-A,RS-EP-20250802T0650,5,Amber,WRAINA,2025-08-02T12:30:00+08:00,2025-08-02T16:00:00+08:00,210,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 2 12 30 2025 8 2 16 0 03 30,,2026-10-08T15:07:51+08:00
|
| 132 |
+
RS-20250802T2235-A,RS-EP-20250802T2235,1,Amber,WRAINA,2025-08-02T22:35:00+08:00,2025-08-03T01:15:00+08:00,160,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 2 22 35 2025 8 3 1 15 02 40,,2026-10-08T15:07:51+08:00
|
| 133 |
+
RS-20250803T0545-A,RS-EP-20250803T0545,1,Amber,WRAINA,2025-08-03T05:45:00+08:00,2025-08-03T07:45:00+08:00,120,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 3 5 45 2025 8 3 7 45 02 00,,2026-10-08T15:07:51+08:00
|
| 134 |
+
RS-20250803T1120-A,RS-EP-20250803T1120,1,Amber,WRAINA,2025-08-03T11:20:00+08:00,2025-08-03T12:30:00+08:00,70,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 3 11 20 2025 8 3 12 30 01 10,,2026-10-08T15:07:51+08:00
|
| 135 |
+
RS-20250804T0630-A,RS-EP-20250804T0630,1,Amber,WRAINA,2025-08-04T06:30:00+08:00,2025-08-04T09:00:00+08:00,150,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 4 6 30 2025 8 4 9 0 02 30,,2026-10-08T15:07:51+08:00
|
| 136 |
+
RS-20250804T1025-A,RS-EP-20250804T1025,1,Amber,WRAINA,2025-08-04T10:25:00+08:00,2025-08-04T12:20:00+08:00,115,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 4 10 25 2025 8 4 12 20 01 55,,2026-10-08T15:07:51+08:00
|
| 137 |
+
RS-20250804T1220-R,RS-EP-20250804T1025,2,Red,WRAINR,2025-08-04T12:20:00+08:00,2025-08-04T13:25:00+08:00,65,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 8 4 12 20 2025 8 4 13 25 01 05,,2026-10-08T15:07:51+08:00
|
| 138 |
+
RS-20250804T1325-A,RS-EP-20250804T1025,3,Amber,WRAINA,2025-08-04T13:25:00+08:00,2025-08-04T15:15:00+08:00,110,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 4 13 25 2025 8 4 15 15 01 50,,2026-10-08T15:07:51+08:00
|
| 139 |
+
RS-20250804T2145-A,RS-EP-20250804T2145,1,Amber,WRAINA,2025-08-04T21:45:00+08:00,2025-08-04T22:35:00+08:00,50,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 4 21 45 2025 8 4 22 35 00 50,,2026-10-08T15:07:51+08:00
|
| 140 |
+
RS-20250804T2235-R,RS-EP-20250804T2145,2,Red,WRAINR,2025-08-04T22:35:00+08:00,2025-08-04T23:45:00+08:00,70,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 8 4 22 35 2025 8 4 23 45 01 10,,2026-10-08T15:07:51+08:00
|
| 141 |
+
RS-20250804T2345-B,RS-EP-20250804T2145,3,Black,WRAINB,2025-08-04T23:45:00+08:00,2025-08-05T02:10:00+08:00,145,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,B 2025 8 4 23 45 2025 8 5 2 10 02 25,,2026-10-08T15:07:51+08:00
|
| 142 |
+
RS-20250805T0210-R,RS-EP-20250804T2145,4,Red,WRAINR,2025-08-05T02:10:00+08:00,2025-08-05T03:00:00+08:00,50,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 8 5 2 10 2025 8 5 3 0 00 50,,2026-10-08T15:07:51+08:00
|
| 143 |
+
RS-20250805T0300-A,RS-EP-20250804T2145,5,Amber,WRAINA,2025-08-05T03:00:00+08:00,2025-08-05T05:20:00+08:00,140,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 5 3 0 2025 8 5 5 20 02 20,,2026-10-08T15:07:51+08:00
|
| 144 |
+
RS-20250805T0520-R,RS-EP-20250804T2145,6,Red,WRAINR,2025-08-05T05:20:00+08:00,2025-08-05T05:50:00+08:00,30,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 8 5 5 20 2025 8 5 5 50 00 30,,2026-10-08T15:07:51+08:00
|
| 145 |
+
RS-20250805T0550-B,RS-EP-20250804T2145,7,Black,WRAINB,2025-08-05T05:50:00+08:00,2025-08-05T17:05:00+08:00,675,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,B 2025 8 5 5 50 2025 8 5 17 5 11 15,,2026-10-08T15:07:51+08:00
|
| 146 |
+
RS-20250805T1705-A,RS-EP-20250804T2145,8,Amber,WRAINA,2025-08-05T17:05:00+08:00,2025-08-05T18:15:00+08:00,70,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 5 17 5 2025 8 5 18 15 01 10,,2026-10-08T15:07:51+08:00
|
| 147 |
+
RS-20250805T2255-A,RS-EP-20250805T2255,1,Amber,WRAINA,2025-08-05T22:55:00+08:00,2025-08-06T00:30:00+08:00,95,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 5 22 55 2025 8 6 0 30 01 35,,2026-10-08T15:07:51+08:00
|
| 148 |
+
RS-20250806T1145-A,RS-EP-20250806T1145,1,Amber,WRAINA,2025-08-06T11:45:00+08:00,2025-08-06T13:30:00+08:00,105,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 6 11 45 2025 8 6 13 30 01 45,,2026-10-08T15:07:51+08:00
|
| 149 |
+
RS-20250814T0522-A,RS-EP-20250814T0522,1,Amber,WRAINA,2025-08-14T05:22:00+08:00,2025-08-14T06:35:00+08:00,73,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 14 5 22 2025 8 14 6 35 01 13,,2026-10-08T15:07:51+08:00
|
| 150 |
+
RS-20250814T0635-R,RS-EP-20250814T0522,2,Red,WRAINR,2025-08-14T06:35:00+08:00,2025-08-14T07:50:00+08:00,75,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 8 14 6 35 2025 8 14 7 50 01 15,,2026-10-08T15:07:51+08:00
|
| 151 |
+
RS-20250814T0750-B,RS-EP-20250814T0522,3,Black,WRAINB,2025-08-14T07:50:00+08:00,2025-08-14T11:10:00+08:00,200,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,B 2025 8 14 7 50 2025 8 14 11 10 03 20,,2026-10-08T15:07:51+08:00
|
| 152 |
+
RS-20250814T1110-R,RS-EP-20250814T0522,4,Red,WRAINR,2025-08-14T11:10:00+08:00,2025-08-14T12:10:00+08:00,60,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 8 14 11 10 2025 8 14 12 10 01 00,,2026-10-08T15:07:51+08:00
|
| 153 |
+
RS-20250814T1210-A,RS-EP-20250814T0522,5,Amber,WRAINA,2025-08-14T12:10:00+08:00,2025-08-14T15:55:00+08:00,225,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 14 12 10 2025 8 14 15 55 03 45,,2026-10-08T15:07:51+08:00
|
| 154 |
+
RS-20250818T0030-A,RS-EP-20250818T0030,1,Amber,WRAINA,2025-08-18T00:30:00+08:00,2025-08-18T01:15:00+08:00,45,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 18 0 30 2025 8 18 1 15 00 45,,2026-10-08T15:07:51+08:00
|
| 155 |
+
RS-20250818T0115-R,RS-EP-20250818T0030,2,Red,WRAINR,2025-08-18T01:15:00+08:00,2025-08-18T06:05:00+08:00,290,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,R 2025 8 18 1 15 2025 8 18 6 5 04 50,,2026-10-08T15:07:51+08:00
|
| 156 |
+
RS-20250818T0605-A,RS-EP-20250818T0030,3,Amber,WRAINA,2025-08-18T06:05:00+08:00,2025-08-18T07:20:00+08:00,75,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 18 6 5 2025 8 18 7 20 01 15,,2026-10-08T15:07:51+08:00
|
| 157 |
+
RS-20250818T1020-A,RS-EP-20250818T1020,1,Amber,WRAINA,2025-08-18T10:20:00+08:00,2025-08-18T11:45:00+08:00,85,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 18 10 20 2025 8 18 11 45 01 25,,2026-10-08T15:07:51+08:00
|
| 158 |
+
RS-20250819T0941-A,RS-EP-20250819T0941,1,Amber,WRAINA,2025-08-19T09:41:00+08:00,2025-08-19T11:15:00+08:00,94,2025,8,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 8 19 9 41 2025 8 19 11 15 01 34,,2026-10-08T15:07:51+08:00
|
| 159 |
+
RS-20250908T0455-A,RS-EP-20250908T0455,1,Amber,WRAINA,2025-09-08T04:55:00+08:00,2025-09-08T11:35:00+08:00,400,2025,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 9 8 4 55 2025 9 8 11 35 06 40,,2026-10-08T15:07:51+08:00
|
| 160 |
+
RS-20250917T0600-A,RS-EP-20250917T0600,1,Amber,WRAINA,2025-09-17T06:00:00+08:00,2025-09-17T07:00:00+08:00,60,2025,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 9 17 6 0 2025 9 17 7 0 01 00,,2026-10-08T15:07:51+08:00
|
| 161 |
+
RS-20250920T0405-A,RS-EP-20250920T0405,1,Amber,WRAINA,2025-09-20T04:05:00+08:00,2025-09-20T15:10:00+08:00,665,2025,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 9 20 4 5 2025 9 20 15 10 11 05,,2026-10-08T15:07:51+08:00
|
| 162 |
+
RS-20250921T0910-A,RS-EP-20250921T0910,1,Amber,WRAINA,2025-09-21T09:10:00+08:00,2025-09-21T17:30:00+08:00,500,2025,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 9 21 9 10 2025 9 21 17 30 08 20,,2026-10-08T15:07:51+08:00
|
| 163 |
+
RS-20250924T0245-A,RS-EP-20250924T0245,1,Amber,WRAINA,2025-09-24T02:45:00+08:00,2025-09-24T11:50:00+08:00,545,2025,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 9 24 2 45 2025 9 24 11 50 09 05,,2026-10-08T15:07:51+08:00
|
| 164 |
+
RS-20250924T1520-A,RS-EP-20250924T1520,1,Amber,WRAINA,2025-09-24T15:20:00+08:00,2025-09-24T20:00:00+08:00,280,2025,9,https://www.hko.gov.hk/dps/wxinfo/climat/warndb/rstorm.dat,A 2025 9 24 15 20 2025 9 24 20 0 04 40,,2026-10-08T15:07:51+08:00
|
hko/hko_rhrread_archive.csv
ADDED
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hko/hko_rhrread_archive_summary.csv
ADDED
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hko/labels_warning_windows.csv
ADDED
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The diff for this file is too large to render.
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hko/stations.csv
ADDED
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@@ -0,0 +1,15 @@
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| 1 |
+
station_id,station_name,region,temperature_station_code,rainfall_station_id,latitude,longitude,station_type,selected_for_task1,selected_for_task3,selected,coordinates_verified,notes
|
| 2 |
+
RF028,The Peak,Hong Kong Island,VP1,RF028,22.2783,114.1406,AWS,TRUE,TRUE,TRUE,FALSE,"Core station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate - verify against data.gov.hk dataset hk-hko-rss-network-of-weather-stations-in-hong-kong before serious Open-Meteo use"
|
| 3 |
+
RF024,King's Park,Kowloon,KP,RF024,22.3122,114.1720,AWS,TRUE,TRUE,TRUE,FALSE,"Core station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate - verify against data.gov.hk dataset hk-hko-rss-network-of-weather-stations-in-hong-kong"
|
| 4 |
+
RF015,Ta Kwu Ling,New Territories,TKL,RF015,22.5033,114.1633,AWS,TRUE,TRUE,TRUE,FALSE,"Core station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate - verify against data.gov.hk dataset hk-hko-rss-network-of-weather-stations-in-hong-kong"
|
| 5 |
+
RF013,Ngong Ping,Lantau,NGP,RF013,22.2467,113.9133,AWS,TRUE,TRUE,TRUE,FALSE,"Core station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate - verify against data.gov.hk dataset hk-hko-rss-network-of-weather-stations-in-hong-kong"
|
| 6 |
+
H24,Wong Chuk Hang,Hong Kong Island,HKS,H24,22.2467,114.1583,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
| 7 |
+
RF027,Happy Valley,Hong Kong Island,HPV,RF027,22.2667,114.1833,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
| 8 |
+
H15,Stanley,Hong Kong Island,STY,H15,22.2167,114.2167,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
| 9 |
+
RF022,Sham Shui Po,Kowloon,SSP,RF022,22.3333,114.1500,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
| 10 |
+
K03,Kwun Tong,Kowloon,KTG,K03,22.3083,114.2233,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
| 11 |
+
RF025,Kai Tak,Kowloon,SE1,RF025,22.3267,114.2033,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
| 12 |
+
RF020,Sha Tin,New Territories,SHA,RF020,22.3833,114.1833,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
| 13 |
+
RF001,Lau Fau Shan,New Territories,LFS,RF001,22.4667,114.0167,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
| 14 |
+
RF004,Tai Mei Tuk,New Territories,PLC,RF004,22.4667,114.2000,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
| 15 |
+
RF014,Hong Kong International Airport,Lantau,HKA,RF014,22.3067,113.9133,AWS,FALSE,TRUE,TRUE,FALSE,"Backup station; AWS rainfall ID verified against live hourlyRainfall API 2026-10-06; coordinates approximate"
|
open_meteo/README.md
ADDED
|
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| 1 |
+
# `open_meteo` — auto-generated data guide
|
| 2 |
+
|
| 3 |
+
> Auto-generated on 2026-10-08T15:41:25+08:00 by `scripts/generate_processed_readmes.py` from the files actually present in this directory. Do not edit by hand — re-run the generator (or `scripts/flatten_hko_data.py`) after the data changes.
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## Overview
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- **Files:** 4
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- **Total rows:** 767,200
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- **Total size:** 5692.6 KB
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- **Sources:** historical_forecast, historical_weather
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- **Time coverage:** 2023-01-01 00:00:00 .. 2025-12-31 23:00:00
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- **Join keys:** use `station_id` / `station_code` to join to the station metadata table in this or the `hko` section; use the time column shown per file for temporal joins.
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## Files
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### `om_historical_forecast_daily.parquet`
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- **Format:** parquet · **Rows:** 15,344 · **Columns:** 12 · **Size:** 60.1 KB
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- **Purpose:** Open-Meteo gridded weather
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| 20 |
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- **Source API:** historical_forecast
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| 21 |
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- **Time coverage (`date`):** 2023-01-01 00:00:00 .. 2025-12-31 00:00:00
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- **station_id:** 14 distinct
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| Column | Type | Non-null | Range / values | Description |
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|---|---|---|---|---|
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| `station_id` | str | 15344/15344 (100%) | values: H15, H24, K03, RF001, RF004, RF013, RF014, RF015, RF020, RF02… | AWS/CoWIN station identifier |
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| `latitude` | float64 | 15344/15344 (100%) | range 22.22 .. 22.5 | requested station latitude |
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| `longitude` | float64 | 15344/15344 (100%) | range 113.9 .. 114.2 | requested station longitude |
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| `grid_latitude` | float64 | 15344/15344 (100%) | range 22.25 .. 22.53 | model grid-cell latitude returned by the API |
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| 30 |
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| `grid_longitude` | float64 | 15344/15344 (100%) | range 113.9 .. 114.2 | model grid-cell longitude returned by the API |
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| 31 |
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| `timezone` | str | 15344/15344 (100%) | values: Asia/Hong_Kong | timezone of the timestamps |
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| 32 |
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| `source_api` | str | 15344/15344 (100%) | values: historical_forecast | source API / dataset identifier |
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| 33 |
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| `issue_time_known` | bool | 15344/15344 (100%) | True / False | whether the forecast issue/run time is known (FALSE for Open-Meteo) |
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| 34 |
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| `date` | str | 15344/15344 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 00:00:00 | observation date |
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| `precipitation_sum` | float64 | 15344/15344 (100%) | range 0 .. 258.9 | daily precipitation sum (mm) |
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| `temperature_2m_max` | float64 | 15344/15344 (100%) | range 5.4 .. 36.3 | daily maximum air temperature at 2 m (C) |
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| 37 |
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| `temperature_2m_min` | float64 | 15344/15344 (100%) | range 0.6 .. 28.9 | daily minimum air temperature at 2 m (C) |
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| 38 |
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### `om_historical_forecast_hourly.parquet`
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- **Format:** parquet · **Rows:** 368,256 · **Columns:** 15 · **Size:** 2786.2 KB
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| 42 |
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- **Purpose:** Open-Meteo gridded weather
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| 43 |
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- **Source API:** historical_forecast
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| 44 |
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- **Time coverage (`time_hkt`):** 2023-01-01 00:00:00 .. 2025-12-31 23:00:00
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| 45 |
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- **station_id:** 14 distinct
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| Column | Type | Non-null | Range / values | Description |
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|---|---|---|---|---|
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| `station_id` | str | 368256/368256 (100%) | values: H15, H24, K03, RF001, RF004, RF013, RF014, RF015, RF020, RF02… | AWS/CoWIN station identifier |
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| `latitude` | float64 | 368256/368256 (100%) | range 22.22 .. 22.5 | requested station latitude |
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| 51 |
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| `longitude` | float64 | 368256/368256 (100%) | range 113.9 .. 114.2 | requested station longitude |
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| 52 |
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| `grid_latitude` | float64 | 368256/368256 (100%) | range 22.25 .. 22.53 | model grid-cell latitude returned by the API |
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| 53 |
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| `grid_longitude` | float64 | 368256/368256 (100%) | range 113.9 .. 114.2 | model grid-cell longitude returned by the API |
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| 54 |
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| `timezone` | str | 368256/368256 (100%) | values: Asia/Hong_Kong | timezone of the timestamps |
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| 55 |
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| `source_api` | str | 368256/368256 (100%) | values: historical_forecast | source API / dataset identifier |
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| `issue_time_known` | bool | 368256/368256 (100%) | True / False | whether the forecast issue/run time is known (FALSE for Open-Meteo) |
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| 57 |
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| `time_hkt` | str | 368256/368256 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 23:00:00 | local time (HKT) |
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| 58 |
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| `precipitation` | float64 | 368256/368256 (100%) | range 0 .. 47 | hourly precipitation (mm) |
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| `temperature_2m` | float64 | 368256/368256 (100%) | range 0.6 .. 36.3 | air temperature at 2 m (C) |
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| `relative_humidity_2m` | int64 | 368256/368256 (100%) | range 17 .. 100 | relative humidity at 2 m (%) |
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| 61 |
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| `cloud_cover` | int64 | 368256/368256 (100%) | range 0 .. 100 | cloud cover (%) |
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| `wind_speed_10m` | float64 | 368256/368256 (100%) | range 0 .. 72.7 | wind speed at 10 m (km/h) |
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| `surface_pressure` | float64 | 368256/368256 (100%) | range 930.1 .. 1033 | surface pressure (hPa) |
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### `om_historical_weather_daily.parquet`
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- **Format:** parquet · **Rows:** 15,344 · **Columns:** 12 · **Size:** 60.1 KB
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| 68 |
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- **Purpose:** Open-Meteo gridded weather
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| 69 |
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- **Source API:** historical_weather
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| 70 |
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- **Time coverage (`date`):** 2023-01-01 00:00:00 .. 2025-12-31 00:00:00
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| 71 |
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- **station_id:** 14 distinct
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| 72 |
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| Column | Type | Non-null | Range / values | Description |
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| 74 |
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|---|---|---|---|---|
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| `station_id` | str | 15344/15344 (100%) | values: H15, H24, K03, RF001, RF004, RF013, RF014, RF015, RF020, RF02… | AWS/CoWIN station identifier |
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| `latitude` | float64 | 15344/15344 (100%) | range 22.22 .. 22.5 | requested station latitude |
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| 77 |
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| `longitude` | float64 | 15344/15344 (100%) | range 113.9 .. 114.2 | requested station longitude |
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| 78 |
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| `grid_latitude` | float64 | 15344/15344 (100%) | range 22.25 .. 22.53 | model grid-cell latitude returned by the API |
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| 79 |
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| `grid_longitude` | float64 | 15344/15344 (100%) | range 113.9 .. 114.2 | model grid-cell longitude returned by the API |
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| 80 |
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| `timezone` | str | 15344/15344 (100%) | values: Asia/Hong_Kong | timezone of the timestamps |
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| 81 |
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| `source_api` | str | 15344/15344 (100%) | values: historical_weather | source API / dataset identifier |
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| 82 |
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| `issue_time_known` | bool | 15344/15344 (100%) | True / False | whether the forecast issue/run time is known (FALSE for Open-Meteo) |
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| `date` | str | 15344/15344 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 00:00:00 | observation date |
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| 84 |
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| `precipitation_sum` | float64 | 15344/15344 (100%) | range 0 .. 258.9 | daily precipitation sum (mm) |
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| 85 |
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| `temperature_2m_max` | float64 | 15344/15344 (100%) | range 5.4 .. 36.3 | daily maximum air temperature at 2 m (C) |
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| 86 |
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| `temperature_2m_min` | float64 | 15344/15344 (100%) | range 0.6 .. 28.9 | daily minimum air temperature at 2 m (C) |
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### `om_historical_weather_hourly.parquet`
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- **Format:** parquet · **Rows:** 368,256 · **Columns:** 15 · **Size:** 2786.1 KB
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| 91 |
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- **Purpose:** Open-Meteo gridded weather
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| 92 |
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- **Source API:** historical_weather
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| 93 |
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- **Time coverage (`time_hkt`):** 2023-01-01 00:00:00 .. 2025-12-31 23:00:00
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| 94 |
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- **station_id:** 14 distinct
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| 95 |
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| Column | Type | Non-null | Range / values | Description |
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|---|---|---|---|---|
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| `station_id` | str | 368256/368256 (100%) | values: H15, H24, K03, RF001, RF004, RF013, RF014, RF015, RF020, RF02… | AWS/CoWIN station identifier |
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| 99 |
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| `latitude` | float64 | 368256/368256 (100%) | range 22.22 .. 22.5 | requested station latitude |
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| 100 |
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| `longitude` | float64 | 368256/368256 (100%) | range 113.9 .. 114.2 | requested station longitude |
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| 101 |
+
| `grid_latitude` | float64 | 368256/368256 (100%) | range 22.25 .. 22.53 | model grid-cell latitude returned by the API |
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| 102 |
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| `grid_longitude` | float64 | 368256/368256 (100%) | range 113.9 .. 114.2 | model grid-cell longitude returned by the API |
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| 103 |
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| `timezone` | str | 368256/368256 (100%) | values: Asia/Hong_Kong | timezone of the timestamps |
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| 104 |
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| `source_api` | str | 368256/368256 (100%) | values: historical_weather | source API / dataset identifier |
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| 105 |
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| `issue_time_known` | bool | 368256/368256 (100%) | True / False | whether the forecast issue/run time is known (FALSE for Open-Meteo) |
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| 106 |
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| `time_hkt` | str | 368256/368256 (100%) | 2023-01-01 00:00:00 .. 2025-12-31 23:00:00 | local time (HKT) |
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| 107 |
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| `precipitation` | float64 | 368256/368256 (100%) | range 0 .. 47 | hourly precipitation (mm) |
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| 108 |
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| `temperature_2m` | float64 | 368256/368256 (100%) | range 0.6 .. 36.3 | air temperature at 2 m (C) |
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| 109 |
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| `relative_humidity_2m` | int64 | 368256/368256 (100%) | range 17 .. 100 | relative humidity at 2 m (%) |
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| 110 |
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| `cloud_cover` | int64 | 368256/368256 (100%) | range 0 .. 100 | cloud cover (%) |
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| 111 |
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| `wind_speed_10m` | float64 | 368256/368256 (100%) | range 0 .. 72.7 | wind speed at 10 m (km/h) |
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| 112 |
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| `surface_pressure` | float64 | 368256/368256 (100%) | range 930.1 .. 1033 | surface pressure (hPa) |
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open_meteo/om_historical_forecast_daily.parquet
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:e22efb3a7e110e63d3f9d32f9544647083c0797e1d698a7773396a967424a30c
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size 61586
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open_meteo/om_historical_forecast_hourly.parquet
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:41fdee473d32f8d6be435717ee4f5d4a2b2f46efa7f59bdf073d00e72457c828
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size 2853049
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open_meteo/om_historical_weather_daily.parquet
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf65c0185e561612b76278622374e00272deb7460fd19353c52e817505deeedb
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size 61581
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open_meteo/om_historical_weather_hourly.parquet
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:7ac852d7a1bd8e6788599f95ed07309d78d3c19f75019c69e54c7c35547e500c
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| 3 |
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size 2853008
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