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<p>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 <i>in situ</i> measurements, including data from 473 eddy-covariance sites, showing a median correlation of 0.73, root-mean-square error of 0.95 mm d<sup>−1</sup>, and Kling–Gupta efficiency of 0.49. Global land evaporation is estimated at 68.5 × 10<sup>3</sup> km<sup>3</sup> yr<sup>−1</sup>, 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.</p>

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GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月10日

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  • 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

摘要

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.