Monitoring evapotranspiration and water resources with thermal infrared geostationary sensors An intercomparison with model based ET predictions and tower observations

2013-01-06
Hain, Christopher
Anderson, Mc
Zhan, X,
Yılmaz, Mustafa Tuğrul
As our world's water resources come under increasing tension, an accurate knowledge of water consumption through evapotranspiration (ET) over a range in spatial scales will be critical in developing adaptation strategies. Direct validation of ET models is challenging due to lack of available observations that are sufficiently representative at the model grid scale (10-100 km). Prognostic land-surface models require accurate a priori information about precipitation patterns, soil moisture storage capacity, groundwater tables, and artificial controls on water supply (e.g., irrigation, dams and diversions, inter-basin water transfers, etc.) to reliably link rainfall to evaporative fluxes. In contrast, diagnostic estimates of ET can be generated, with no prior knowledge of the surface moisture state, by energy balance models using thermal-infrared (TIR) remote sensing of land-surface temperature (LST) as a boundary condition. The LST inputs carry valuable proxy information regarding soil moisture and its effect on soil surface evaporation and canopy stresses limiting transpiration. This project will use a 12-year (2000 to present) ET and surface flux dataset, generated with an updated version of the TIR-based Atmosphere-Land-Exchange Inverse (ALEXI) model, in an intercomparison study with various currently available model-based water and energy cycle products over the CONUS and tower flux observations from the Ameriflux network. Additional analysis will focus on the ability of remotely-sensed ET estimates, especially those from ALEXI, to identify and quantify ET associated with non-precipitation water sources such as shallow ground water tables and irrigation, especially over the western United States. The ability to quantify differences in ET and ET variability in regions where these features exist has the potential to aid in the improvement of ET estimation from prognostics LSMs. The presentation will also briefly address ongoing and future ET studies over Central and South America, Africa and Europe.

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Citation Formats
C. Hain, M. Anderson, X. Zhan, and M. T. Yılmaz, “Monitoring evapotranspiration and water resources with thermal infrared geostationary sensors An intercomparison with model based ET predictions and tower observations,” 2013, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/81579.