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Catalog datasets represent a fraction of data in use by active WMA projects. The team is working on including more datasets to provide a complete view of data-in-use. Let us know how your experience is!

Datasets


Global Land Evaporation Amsterdam Model (GLEAM)

Domain: Hydrology

Spatial Resolution: 0.25 degrees

Temporal Frequency: daily

Temporal Coverage: 1980 - Present

Spatial Extent: Global

Source: ESA, Ghent University, Vrije Univeriteit Amsterdam

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Description:

The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms that separately estimate the different components of land evaporation (often referred to as ’evapotranspiration’): transpiration, bare-soil evaporation, interception loss, open-water evaporation and sublimation. Additionally, GLEAM provides surface and root-zone soil moisture, potential evaporation and evaporative stress conditions. The rationale of the method is to maximize the recovery of information on evaporation contained in current satellite observations of climatic and environmental variables.
The Priestley and Taylor equation in GLEAM calculates potential evaporation based on observations of surface net radiation and near-surface air temperature. Estimates of potential evaporation for the land fractions of bare soil, tall canopy and short canopy are converted into actual evaporation using a multiplicative evaporative stress factor based on observations of microwave Vegetation Optical Depth (VOD) and estimates of root-zone soil moisture. The latter are calculated using a multi-layer running-water balance. To try to correct for random forcing errors, observations of surface soil moisture are also assimilated into the soil profile. Interception loss is calculated separately in GLEAM using a Gash analytical model. Finally, estimates of actual evaporation for water bodies and regions covered by ice and/or snow are based on a modified Priestley and Taylor equation.

Citation:

[1] Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernandez-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, 2017, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903-1925, https://doi.org/10.5194/gmd-10-1903-2017
[2] Miralles, D.G., Holmes, T.R.H., de Jeu, R.A.M., Gash, J.H., Meesters, A.G.C.A., Dolman, A.J., 2011, Global land-surface evaporation estimated from satellite-based observations, Hydrology and Earth System Sciences, 15, 453-469, https://doi.org/10.5194/hess-15-453-2011