GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present
Abstract Terrestrial evaporation plays a crucial role in modulating climate and water resources. Here, we present a continuous, daily dataset covering 1980–2023 with a 0.1°spatial resolution, produced using the fourth generation of the Global Land Evaporation Amsterdam Model (GLEAM). GLEAM4 embraces...
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Nature Portfolio
2025-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04610-y |
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| author | Diego G. Miralles Olivier Bonte Akash Koppa Oscar M. Baez-Villanueva Emma Tronquo Feng Zhong Hylke E. Beck Petra Hulsman Wouter Dorigo Niko E. C. Verhoest Shekoofeh Haghdoost |
| author_facet | Diego G. Miralles Olivier Bonte Akash Koppa Oscar M. Baez-Villanueva Emma Tronquo Feng Zhong Hylke E. Beck Petra Hulsman Wouter Dorigo Niko E. C. Verhoest Shekoofeh Haghdoost |
| author_sort | Diego G. Miralles |
| collection | DOAJ |
| description | Abstract Terrestrial evaporation plays a crucial role in modulating climate and water resources. Here, we present a continuous, daily dataset covering 1980–2023 with a 0.1°spatial resolution, produced using the fourth generation of the Global Land Evaporation Amsterdam Model (GLEAM). GLEAM4 embraces developments in hybrid modelling, learning evaporative stress from eddy-covariance and sapflow data. It features improved representation of key factors such as interception, atmospheric water demand, soil moisture, and plant access to groundwater. Estimates are inter-compared with existing global evaporation products and validated against in situ measurements, including data from 473 eddy-covariance sites, showing a median correlation of 0.73, root-mean-square error of 0.95 mm d−1, and Kling–Gupta efficiency of 0.49. Global land evaporation is estimated at 68.5 × 103 km3 yr−1, with 62% attributed to transpiration. Beyond actual evaporation and its components (transpiration, interception loss, soil evaporation, etc.), the dataset also provides soil moisture, potential evaporation, sensible heat flux, and evaporative stress, facilitating a wide range of hydrological, climatic, and ecological studies. |
| format | Article |
| id | doaj-art-87e32abc4d884b5c9e4197efb7a8c751 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-87e32abc4d884b5c9e4197efb7a8c7512025-08-20T03:41:46ZengNature PortfolioScientific Data2052-44632025-03-0112111410.1038/s41597-025-04610-yGLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near presentDiego G. Miralles0Olivier Bonte1Akash Koppa2Oscar M. Baez-Villanueva3Emma Tronquo4Feng Zhong5Hylke E. Beck6Petra Hulsman7Wouter Dorigo8Niko E. C. Verhoest9Shekoofeh Haghdoost10Hydro-Climate Extremes Lab (H-CEL), Ghent UniversityHydro-Climate Extremes Lab (H-CEL), Ghent UniversityHydro-Climate Extremes Lab (H-CEL), Ghent UniversityHydro-Climate Extremes Lab (H-CEL), Ghent UniversityHydro-Climate Extremes Lab (H-CEL), Ghent UniversityHydro-Climate Extremes Lab (H-CEL), Ghent UniversityPhysical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST)Hydro-Climate Extremes Lab (H-CEL), Ghent UniversityDepartment of Geodesy and Geoinformation, TU WienHydro-Climate Extremes Lab (H-CEL), Ghent UniversityHydro-Climate Extremes Lab (H-CEL), Ghent UniversityAbstract Terrestrial evaporation plays a crucial role in modulating climate and water resources. Here, we present a continuous, daily dataset covering 1980–2023 with a 0.1°spatial resolution, produced using the fourth generation of the Global Land Evaporation Amsterdam Model (GLEAM). GLEAM4 embraces developments in hybrid modelling, learning evaporative stress from eddy-covariance and sapflow data. It features improved representation of key factors such as interception, atmospheric water demand, soil moisture, and plant access to groundwater. Estimates are inter-compared with existing global evaporation products and validated against in situ measurements, including data from 473 eddy-covariance sites, showing a median correlation of 0.73, root-mean-square error of 0.95 mm d−1, and Kling–Gupta efficiency of 0.49. Global land evaporation is estimated at 68.5 × 103 km3 yr−1, with 62% attributed to transpiration. Beyond actual evaporation and its components (transpiration, interception loss, soil evaporation, etc.), the dataset also provides soil moisture, potential evaporation, sensible heat flux, and evaporative stress, facilitating a wide range of hydrological, climatic, and ecological studies.https://doi.org/10.1038/s41597-025-04610-y |
| spellingShingle | Diego G. Miralles Olivier Bonte Akash Koppa Oscar M. Baez-Villanueva Emma Tronquo Feng Zhong Hylke E. Beck Petra Hulsman Wouter Dorigo Niko E. C. Verhoest Shekoofeh Haghdoost GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present Scientific Data |
| title | GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present |
| title_full | GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present |
| title_fullStr | GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present |
| title_full_unstemmed | GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present |
| title_short | GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present |
| title_sort | gleam4 global land evaporation and soil moisture dataset at 0 1° resolution from 1980 to near present |
| url | https://doi.org/10.1038/s41597-025-04610-y |
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