- |---| | [### PARDIG LR (Long-Record) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_PARDIG_1_LR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_PARDIG_1_LR.md.txt) | | PARDIG (Precipitation AI Reanalysis - Densely Inferred GPM) is an experimental dataset of global AI-driven precipitation estimates by Google DeepMind and Google Research, produced by the model described in: Global Precipitation Estimates Learned from Sparse Satellite Observations. PARDIG is produced by an AI model that ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [meteorology](https://developers.google.com/earth-engine/datasets/tags/meteorology.md.txt) | - |---| | [### PARDIG NRT (Near-Real-Time) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_PARDIG_1_NRT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_PARDIG_1_NRT.md.txt) | | PARDIG (Precipitation AI Reanalysis - Densely Inferred GPM) is an experimental dataset of global AI-driven precipitation estimates by Google DeepMind and Google Research, produced by the model described in: Global Precipitation Estimates Learned from Sparse Satellite Observations. PARDIG is produced by an AI model that ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [meteorology](https://developers.google.com/earth-engine/datasets/tags/meteorology.md.txt) | - |---| | [### WeatherNext 2 ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0.md.txt) | | WeatherNext 2 is an experimental dataset of global medium-range ensemble weather forecasts produced by an operational version of Google DeepMind's Functional Network Generative weather model. The experimental dataset includes real-time and historic data. Real-time data is any data that relates to a time that is ... | | [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### WeatherNext 2 Mean ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0_mean_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0_mean.md.txt) | | WeatherNext 2 Mean is the mean of 64 ensembles of an experimental dataset of global medium-range ensemble weather forecasts produced by an operational version of Google DeepMind's Functional Network Generative weather model. For a dataset containing all ensemble members, please see the (non-mean) WeatherNext 2 ... | | [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### WeatherNext 3 (0.05°) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p05deg_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p05deg.md.txt) | | WeatherNext 3 (0.05°) dataset is an experimental dataset of global medium-range ensemble weather forecasts by Google DeepMind and Google Research, produced by an operational version of the model described in: WeatherNext 3: Increasing resolution and performance of global weather models with raw observations. Data Access ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) | - |---| | [### WeatherNext 3 (0.1°) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p1deg_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p1deg.md.txt) | | WeatherNext 3 (0.1°) dataset is an experimental dataset of global medium-range ensemble weather forecasts by Google DeepMind and Google Research, produced by an operational version of the model described in: WeatherNext 3: Increasing resolution and performance of global weather models with raw observations. Data Access ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) |