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Evapotranspiration (ET) is the sum of water transfers from the earth surface caused by evaporation from water bodies or soil and the transpiration process of vegetation. It plays an important role in the water cycle and therefore the understanding of ET is a major issue in science questions. ET or also called latent heat flux (λE) is a key climate variable uniquely linking the water, energy, and carbon cycles (Garcia et al., 2013; Yan et al., 2013; Jung et al., 2010). Moisture deficiency in the vegetation root zone leads to the closure of stomata, a reduction in transpiration and elevated canopy temperatures (Anderson et al., 2011; Anderson & Kustas, 2008). In addition, the depletion of water from the soil surface layer leads to the rapid heating of the soil surface and results in reduced evaporation (Anderson et al., 2011; Kustas & Anderson, 2009). Measurements of the radiometric surface temperature (TR) by thermal infrared (TIR) radiometers provide direct information on the land surface moisture status and surface energy balance partitioning (Norman et al., 1995; Kustas & Anderson, 2009; Mallick et al., 2009a). It sets the lower boundary conditions for the transfer of latent and sensible heat through soil, vegetation and atmosphere and can be used for diagnostic assessments of ET without the need for additional information on precipitation or soil pedotransfer functions as commonly required in hydrological models (Anderson et al., 2011; Anderson & Kustas, 2008). The derivation of ET is therefore a key variable for early drought detection and the support of irrigation plans reducing the water amount to the necessary plant needs and can be supported by frequent satellite observations of the Copernicus satellites.

 

 

ProjectPartnersDescriptionFunding
Physical Integration of Radiometric Surface Temperature into the Penman-Monteith Formulation for Evapotranspiration and Surface Energy Balance Modeling (PMET)LISTThe PMET proposal aims to harness the core scientific achievements related to E and SEB modelling, particularly focussing on the integration of radiometric surface temperature (TR) into the Penman-Monteith (PM) model by finding analytical solution of the conductances and associated state variables and, hence, find a PM ‘closure’ to efficiently capture the sub-daily variability of ET and conductances under contrasting ecohydrological and climatic conditions. The proposed work commences with the idea that TR is the principal descriptor of the internal states in the PM model system.FNR CORE

 

References

Anderson, M.C., & Kustas, W.P. (2008), Thermal remote sensing of drought and evapotranspiration. EOS, 89 (26), 233 – 240.

Anderson, M.C., Kustas, W.P., et al. (2011), Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery. Hydrol. Earth Sys. Sc., 15, 223–239, doi:10.5194/hess-15-223-2011.

García, M., et al. (2013), Actual evapotranspiration in drylands derived from in-situ and satellite data: assessing biophysical constraints. Remote Sens. Environ., 131, 103–118.

Jung, M., et al. (2010), Recent decline in the global land evapotranspiration trend due to limited moisture supply. Nature, 467, 951–954.

Kustas, W.P., and Anderson, M.C. (2009), Advances in thermal infrared remote sensing for land surface modeling. Agric. For. Meteorol., 149, 2071 – 2081.

Mallick, K., et al. (2009a), Estimating volumetric surface moisture content for cropped soils using a soil wetness index based on surface temperature and NDVI. Agric. For. Meteorol., 149 (8), 1327 – 1342.

Norman, J.M., et al. (1995), Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature. Agric. For. Meteorol., 77, 263–293.

Yan, H., et al. (2013), Diagnostic analysis of interannual variation of global land evapotranspiration over 1982–2011: Assessing the impact of ENSO. J. Geophy. Res.-Atmos., 118, 1–15, doi:10.1002/jgrd.50693.