| | --- |
| | license: other |
| | license_name: non-commercial-research-license |
| | license_link: LICENSE |
| |
|
| | extra_gated_prompt: >- |
| | ### Non-Commercial Research License |
| | |
| | This dataset is made available exclusively for non-commercial academic research purposes. By requesting access to this dataset, you agree to the following terms: |
| | |
| | 1. You will use the dataset for non-commercial research only. |
| | |
| | 2. You will not redistribute, share, or publish the dataset in any form. |
| | |
| | 3. You will not attempt to de-anonymize or extract personally identifiable information from the dataset. |
| | |
| | 4. You will acknowledge the dataset creators in any published work using this data. |
| | |
| | 5. You must obtain approval to access the dataset by submitting your name, affiliation, and intended use. |
| |
|
| | extra_gated_fields: |
| | First Name: text |
| | Last Name: text |
| | Country: country |
| | Affiliation: text |
| | Job title: |
| | type: select |
| | options: |
| | - Student |
| | - Research Graduate |
| | - AI researcher |
| | - AI developer/engineer |
| | - Reporter |
| | - Other |
| | By clicking Submit below I accept the terms of the license: checkbox |
| | extra_gated_button_content: Submit |
| | --- |
| | |
| | ## Weather2K |
| |
|
| | After necessary adjustments and checks, the new open-source version of the Weather2K dataset is now available. |
| |
|
| | The shape of the numpy file of Weather2K-R is (1866, 13, 13632), which means 1,866 groud weather stations, 3 constants for position information and 10 meteorological factors, and 13,632 time steps with 3-hour time resolution. |
| |
|
| | | Numpy Index | **Long Name** | **Short Name** | **Unit** | |
| | | :------------: | :---------------------------------------- | :--------------------- | :------: | |
| | | 0 | Latitude | lat | (°) | |
| | | 1 | Longitude | lon | (°) | |
| | | 2 | Altitude | alt | (m) | |
| | | 3 | Air pressure | ap | hpa | |
| | | 4 | Air Temperature | t | (°C) | |
| | | 5/6 | Maximum / Minimum temperature | mxt / mnt | (°C) | |
| | | 7 | Relative humidity | rh | (%) | |
| | | 8 | Precipitation in 3h | p3 | (mm) | |
| | | 9 | Wind direction | wd | (°) | |
| | | 10 | Wind speed | ws | (ms<sup>-1</sup>) | |
| | | 11 | Maximum wind direction | mwd | (°) | |
| | | 12 | Maximum wind speed | mws | (ms<sup>-1</sup>) | |
| |
|
| | ## Cite |
| |
|
| | If you are using this dataset please cite |
| | > Zhu X, Xiong Y, Wu M, et al. Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations[C]//International Conference on Artificial Intelligence and Statistics. PMLR, 2023: 2704-2722. |
