WeatherNext Graph Forecasts

projects/gcp-public-data-weathernext/assets/59572747_4_0
info

This dataset is part of a Publisher Catalog, and not managed by Google Earth Engine. Contact weathernext@google.com for bugs or view more datasets from the WeatherNext Catalog. Learn more about Publisher datasets.

Catalog Owner
WeatherNext
Dataset Availability
2020-01-01T00:00:00Z–2024-12-19T12:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("projects/gcp-public-data-weathernext/assets/59572747_4_0")
Tags
forecast precipitation publisher-dataset temperature weather wind
gcp-public-data-weathernext
weathernext

Description

WeatherNext Graph is an experimental dataset of global medium-range weather forecasts produced by Google DeepMind's graphical neural network weather model.

The experimental dataset includes real-time (i.e., any data that relates to a time that is no more than 48 hours in the past ("Real-Time Experimental Data")) and historical (i.e. any data that relates to a time that is more than 48 hours ago ("Historic Experimental Data")) forecasts. This includes major atmospheric and surface fields including temperature, wind, precipitation, humidity, geopotential, vertical velocity, and pressure. The spatial resolution is 0.25 degrees and temporal resolution is 6 hours. Initialisation times are 00z, 06z, 12z, 18z. The data are 6 hour forecasts up to a max lead time of 10 days.

If you are interested in accessing the experimental dataset, please fill out this WeatherNext Data Request form.

More information on the model is in "Learning skillful medium-range global weather forecasting".

If you have any questions on using this experimental dataset, or would like to use it for purposes not currently permitted under the terms of use set out below, please contact weathernext@google.com.

Acknowledgements

The experimental data was generated by models which communicate with and/or reference the following separate libraries and packages:

  • Data and products of the European Centre for Medium-range Weather Forecasts (ECMWF), as modified by Google.
  • Modified Copernicus Climate Change Service information 2023. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
  • ECMWF HRES datasets
    • Copyright statement: Copyright "© 2023 European Centre for Medium-Range Weather Forecasts (ECMWF)".
    • Source: www.ecmwf.int
    • License Statement: ECMWF open data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/
    • Disclaimer: ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use.

Bands

Resolution
27750 meters

Bands

Name Units Description
total_precipitation_6hr mm

Total precipitation over a 6-hour period

10m_u_component_of_wind m/s

10 meter U wind component

10m_v_component_of_wind m/s

10 meter V wind component

2m_temperature K

2 meter temperature

mean_sea_level_pressure Pa

Mean sea level pressure

50_geopotential m^2/s^2

Geopotential at 50 hPa

100_geopotential m^2/s^2

Geopotential at 100 hPa

150_geopotential m^2/s^2

Geopotential at 150 hPa

200_geopotential m^2/s^2

Geopotential at 200 hPa

250_geopotential m^2/s^2

Geopotential at 250 hPa

300_geopotential m^2/s^2

Geopotential at 300 hPa

400_geopotential m^2/s^2

Geopotential at 400 hPa

500_geopotential m^2/s^2

Geopotential at 500 hPa

600_geopotential m^2/s^2

Geopotential at 600 hPa

700_geopotential m^2/s^2

Geopotential at 700 hPa

850_geopotential m^2/s^2

Geopotential at 850 hPa

925_geopotential m^2/s^2

Geopotential at 925 hPa

1000_geopotential m^2/s^2

Geopotential at 1000 hPa

50_specific_humidity kg/kg

Specific humidity at 50 hPa

100_specific_humidity kg/kg

Specific humidity at 100 hPa

150_specific_humidity kg/kg

Specific humidity at 150 hPa

200_specific_humidity kg/kg

Specific humidity at 200 hPa

250_specific_humidity kg/kg

Specific humidity at 250 hPa

300_specific_humidity kg/kg

Specific humidity at 300 hPa

400_specific_humidity kg/kg

Specific humidity at 400 hPa

500_specific_humidity kg/kg

Specific humidity at 500 hPa

600_specific_humidity kg/kg

Specific humidity at 600 hPa

700_specific_humidity kg/kg

Specific humidity at 700 hPa

850_specific_humidity kg/kg

Specific humidity at 850 hPa

925_specific_humidity kg/kg

Specific humidity at 925 hPa

1000_specific_humidity kg/kg

Specific humidity at 1000 hPa

50_temperature K

Temperature at 50 hPa

100_temperature K

Temperature at 100 hPa

150_temperature K

Temperature at 150 hPa

200_temperature K

Temperature at 200 hPa

250_temperature K

Temperature at 250 hPa

300_temperature K

Temperature at 300 hPa

400_temperature K

Temperature at 400 hPa

500_temperature K

Temperature at 500 hPa

600_temperature K

Temperature at 600 hPa

700_temperature K

Temperature at 700 hPa

850_temperature K

Temperature at 850 hPa

925_temperature K

Temperature at 925 hPa

1000_temperature K

Temperature at 1000 hPa

50_u_component_of_wind m/s

U wind component at 50 hPa

100_u_component_of_wind m/s

U wind component at 100 hPa

150_u_component_of_wind m/s

U wind component at 150 hPa

200_u_component_of_wind m/s

U wind component at 200 hPa

250_u_component_of_wind m/s

U wind component at 250 hPa

300_u_component_of_wind m/s

U wind component at 300 hPa

400_u_component_of_wind m/s

U wind component at 400 hPa

500_u_component_of_wind m/s

U wind component at 500 hPa

600_u_component_of_wind m/s

U wind component at 600 hPa

700_u_component_of_wind m/s

U wind component at 700 hPa

850_u_component_of_wind m/s

U wind component at 850 hPa

925_u_component_of_wind m/s

U wind component at 925 hPa

1000_u_component_of_wind m/s

U wind component at 1000 hPa

50_v_component_of_wind m/s

V wind component at 50 hPa

100_v_component_of_wind m/s

V wind component at 100 hPa

150_v_component_of_wind m/s

V wind component at 150 hPa

200_v_component_of_wind m/s

V wind component at 200 hPa

250_v_component_of_wind m/s

V wind component at 250 hPa

300_v_component_of_wind m/s

V wind component at 300 hPa

400_v_component_of_wind m/s

V wind component at 400 hPa

500_v_component_of_wind m/s

V wind component at 500 hPa

600_v_component_of_wind m/s

V wind component at 600 hPa

700_v_component_of_wind m/s

V wind component at 700 hPa

850_v_component_of_wind m/s

V wind component at 850 hPa

925_v_component_of_wind m/s

V wind component at 925 hPa

1000_v_component_of_wind m/s

V wind component at 1000 hPa

50_vertical_velocity Pa/s

Vertical velocity at 50 hPa

100_vertical_velocity Pa/s

Vertical velocity at 100 hPa

150_vertical_velocity Pa/s

Vertical velocity at 150 hPa

200_vertical_velocity Pa/s

Vertical velocity at 200 hPa

250_vertical_velocity Pa/s

Vertical velocity at 250 hPa

300_vertical_velocity Pa/s

Vertical velocity at 300 hPa

400_vertical_velocity Pa/s

Vertical velocity at 400 hPa

500_vertical_velocity Pa/s

Vertical velocity at 500 hPa

600_vertical_velocity Pa/s

Vertical velocity at 600 hPa

700_vertical_velocity Pa/s

Vertical velocity at 700 hPa

850_vertical_velocity Pa/s

Vertical velocity at 850 hPa

925_vertical_velocity Pa/s

Vertical velocity at 925 hPa

1000_vertical_velocity Pa/s

Vertical velocity at 1000 hPa

Image Properties

Image Properties

Name Type Description
start_time STRING

The initialization time of the forecast. This is the same for all forecast hours within a single model run.

end_time STRING

The valid time for this specific forecast. Calculated as start_time + forecast_hour

forecast_hour INT

The forecast lead time in hours. Represents the number of hours from the start_time.

ingestion_time DOUBLE

The time when this forecast data became available in Earth Engine.

Terms of Use

Terms of Use

The Historic Experimental Data is licensed under the Creative Commons Attribution International License, Version 4.0 (CC BY 4.0).

The Real-Time Experimental Data is made available under the following GDM Real-Time Weather Forecasting Experimental Data Terms of Use.

Third-party materials

Use of the third-party materials referred to in the Acknowledgements section may be governed by separate terms and conditions or license provisions. Your use of the third-party materials is subject to any such terms and you should check that you can comply with any applicable restrictions or terms and conditions before use.

Citations

Citations:

Explore with Earth Engine

Code Editor (JavaScript)

var dataset =
    ee.ImageCollection(
          'projects/gcp-public-data-weathernext/assets/59572747_4_0')
        .filter(ee.Filter.date('2020-10-01T06:00:00Z', '2020-10-01T06:01:00Z'))
        .filter(ee.Filter.eq('forecast_hour', 6));
var temperature = dataset.select('2m_temperature');

var visParams = {
  min: 220,
  max: 350,
  palette: [
    'darkblue', 'blue', 'cyan', 'green', 'yellow', 'orange', 'red', 'darkred'
  ]
};

Map.addLayer(temperature, visParams, '2m Temperature');
Open in Code Editor