A Global Dataset for Seasonal to Annual Forecasts of GRACE-like Gridded Terrestrial Water Storage (2010-2024)
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
| Publicado: |
PANGAEA
2025
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| _version_ | 1867171892681506816 |
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| author | Li, Fupeng |
| author_facet | Li, Fupeng |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This dataset is linked to the paper titled "Observation-Driven Forecast of Global Terrestrial Water Storage and Evaluation for 2010–2024", published in WRR, which focuses on seasonal to annual forecasting terrestrial water storage anomalies across the global land surface. The dataset provides global forecasts of terrestrial water storage anomalies using machine learning, based on near real-time observations of precipitation, land and sea surface temperatures, sea surface salinity, soil moisture, evaporation, and sixteen climate indices. Forecasts are initiated monthly from December 2009 to March 2024, with lead times of up to twelve months. The data is available both with and without seasonal and trend components, at a one-degree grid scale, covering global land areas including Antarctica and Greenland. The dataset also includes multiple versions of the global mean TWSC time series for each lead time. We expect this dataset will contribute to drought and flood early warning services, sea level forecasting, constraints on hydrological and land surface model forecasts, and Earth orientation parameter forecasting, and address the latency issue in accessing standard GRACE TWSC products. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_973113 |
| institution | PANGAEA |
| language | en |
| publishDate | 2025 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | A Global Dataset for Seasonal to Annual Forecasts of GRACE-like Gridded Terrestrial Water Storage (2010-2024) Li, Fupeng Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); GRACE; GRACE-FO; machine learning; seasonal forecast; terrestrial water storage; total water storage anomalies This dataset is linked to the paper titled "Observation-Driven Forecast of Global Terrestrial Water Storage and Evaluation for 2010–2024", published in WRR, which focuses on seasonal to annual forecasting terrestrial water storage anomalies across the global land surface. The dataset provides global forecasts of terrestrial water storage anomalies using machine learning, based on near real-time observations of precipitation, land and sea surface temperatures, sea surface salinity, soil moisture, evaporation, and sixteen climate indices. Forecasts are initiated monthly from December 2009 to March 2024, with lead times of up to twelve months. The data is available both with and without seasonal and trend components, at a one-degree grid scale, covering global land areas including Antarctica and Greenland. The dataset also includes multiple versions of the global mean TWSC time series for each lead time. We expect this dataset will contribute to drought and flood early warning services, sea level forecasting, constraints on hydrological and land surface model forecasts, and Earth orientation parameter forecasting, and address the latency issue in accessing standard GRACE TWSC products. |
| title | A Global Dataset for Seasonal to Annual Forecasts of GRACE-like Gridded Terrestrial Water Storage (2010-2024) |
| topic | Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); GRACE; GRACE-FO; machine learning; seasonal forecast; terrestrial water storage; total water storage anomalies |
| url | https://doi.org/10.1594/PANGAEA.973113 |