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profile
int64
profile_source_file
string
profile_idx
int64
profile_date
int64
profile_juld
float64
latitude
float64
longitude
float64
valid_observed_depth_count
int64
glorys_temporal_status
int8
ostia_temporal_status
int8
sealevel_temporal_status
int8
sss_temporal_status
int8
argo_temp_valid_depth_count
int16
argo_potm_valid_depth_count
int16
argo_psal_valid_depth_count
int16
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36
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DepthDif GeoTIFF Raster and Aligned ARGO Dataset

This dataset package contains the model-ready DepthDif GeoTIFF raster store and the enriched ARGO profile Zarr used to create it.

Dataset Overview

DepthDif dataset and model overview

Layout

assets/
  figures/depthdif_schema.png
  data/geotiff_dataset_random100_surface.png
  data/argo_on_glorys_grid_3D.gif
  data/profile_comparison_good_alignment.png
  data/profile_comparison_bad_alignment.png
rasters/
  glorys/thetao/
  glorys/so/
  ostia/analysed_sst/
  sealevel/adt/
  sss/sos/
  sss/dos/
argo/
  argo_profiles_on_grid.zarr/
data/
  argo_glors_ostia_ssh.zarr/
indices/
  profiles.parquet
  variables.parquet
metadata/
  dataset_description.json
  citation.cff
  stac-item.json
examples/
  open_with_xarray.py
  subset_by_region_time.py
manifest.yaml
masks/

The rasters/ directory is intentionally at the repository root. It contains the aligned uint8 GeoTIFF products used by the pixel-space dataloader. The compact argo/argo_profiles_on_grid.zarr store is the grid-indexed ARGO input used by that dataloader.

The package intentionally contains two ARGO Zarr stores with different roles. argo/argo_profiles_on_grid.zarr is the compact grid-indexed store meant to be used together with the GeoTIFF raster dataset. data/argo_glors_ostia_ssh.zarr is the full enriched profile-level store and holds the complete ARGO collocation dataset, including the sampled GLORYS, OSTIA, sea-level, and sea-surface-salinity context.

Raster Example

Representative surface-level training patches from the exported GeoTIFF store:

Random surface-level training dataset patches

Raster Products

All GeoTIFF rasters are exported on the GLORYS 0.1 degree global grid (EPSG:4326, 3600 x 1800 pixels, west-to-east longitudes from -180 to 180 and north-to-south latitudes from 90 to -90). The current package contains 761 weekly target dates per raster product, from 2010-01-01 through 2024-07-26. Files are named <variable>_YYYYMMDD.tif.

The GLORYS variables are depth-resolved 50-band GeoTIFFs:

  • rasters/glorys/thetao/: potential temperature, encoded as Kelvin.
  • rasters/glorys/so/: salinity, encoded as PSU.

The surface products are single-band GeoTIFFs aggregated to the same weekly target dates with a centered 7-day mean window:

  • rasters/ostia/analysed_sst/: OSTIA analysed sea-surface temperature in Kelvin.
  • rasters/sealevel/adt/: absolute dynamic topography in meters.
  • rasters/sss/sos/: sea-surface salinity in PSU.
  • rasters/sss/dos/: sea-surface density in kg/m3.

Raster pixels are stored as uint8 with 255 reserved for nodata. Valid codes 0..254 are linearly decoded using the stretch ranges in manifest.yaml; per-file statistics, source filenames, compression, target dates, and the full depth axis are also recorded there.

ARGO Alignment Examples

ARGO profiles are projected onto the fixed 50-level GLORYS depth axis before spatial rasterization. The examples below show the grid-indexed ARGO representation and profile-level alignment quality.

Depth-aligned ARGO values on the GLORYS grid

Example of good ARGO-to-GLORYS profile alignment

Example of weaker ARGO-to-GLORYS profile alignment

The full enriched profile-level ARGO collocation dataset is available at:

import xarray as xr

ds = xr.open_zarr("data/argo_glors_ostia_ssh.zarr", consolidated=None)

The lightweight Parquet indices are included for preview and filtering:

import pandas as pd

profiles = pd.read_parquet("indices/profiles.parquet")
variables = pd.read_parquet("indices/variables.parquet")

Coverage:

  • Raster target dates: 2010-01-01 to 2024-07-26
  • Enriched ARGO profile dates: 2010-01-01 to 2024-07-31
  • GLORYS depth levels: 50

Upstream product licenses and citation requirements for EN4/ARGO, GLORYS, OSTIA, sea-level, and sea-surface-salinity products still apply.

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