Borsche, M.

Loew, A.

MPG.PuRe

Geophysical Research AbstractsVol. 15, EGU2013-5755, 2013EGU General Assembly 2013© Author(s) 2013. CC Attribution 3.0 License.High resolution land surface energy and water flux estimates fromsatellite dataMichael Borsche and Alexander LoewMax Planck Institute for Meteorology, Land in the Earth System, Hamburg, Germany (michael.borsche@zmaw.de)Evaporation is an essential component of the global hydrological cycle connecting the energy and water cycles.In recent years global products of land surface evaporation have become available, however, the spatial andtemporal resolution of around one degree in space and monthly means in time are still rather coarse. Withinthe Global Energy and Water Cycle Experiment (GEWEX) the LandFlux-EVAL project aims at evaluating andintercomparing existing land evaporation products. An early result (Jimenez, et al. 2011) showed that the spreadbetween existing products is quite large with around 25 W m-2 at the maximum of the globally averaged annualcycle of 60 W m-2.In order to address the uncertainties inherent in existing evaporation products this study presents a newproduct which allows for the estimation of land surface energy and water fluxes based mainly on remote sensingsatellite observations as input. Major data input is taken from geostationary satellite observations which are avail-able at a very high temporal (30 min) and moderate spatial (≤ 5x5 km) resolution from the ISCCP reprocessingeffort. The land surface scheme consists of a single layer surface resistance model which is driven by consis-tent input from remote sensing observations and is constrained by the coupling to a dynamic boundary layer model.This study presents simulations of energy and water flux estimates of the land surface for the period 2001to 2005. The simulations (P—E) are validated against run-off measurements in globally distributed large catch-ments as well as in-situ observations from global FluxNet measurements within the simulation domain of 50◦N to50◦S.

High resolution land surface energy and water flux estimates from satellite data

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