Large area estimations of land surface fluxes can be a useful operational tool for up-scaling local measurements and can serve as an upper-boundary condition for higher spatial resolution applications. Given hourly measurements of radiometric surface temperature from a geostationary satellite, it is possible to derive the partitioning of energy fluxes based on the influence of the evapotranspiration process on morning surface temperature rise. In this work, the Atmosphere-Land Exchange Inverse (ALEXI) model and the Dual Temperature Difference (DTD) approach were applied in order to relate the sensible heat flux to time-differential remote observations of surface temperature obtained from Meteosat satellite data. Copyright © 2012 IAHS Press.
|Stato di pubblicazione||Published - 2012|
All Science Journal Classification (ASJC) codes
- Earth and Planetary Sciences(all)
Cammalleri, C.; Anderson, M.; Kustas, W.; Hain, C.; Schultz, L.; Mecikalski, J. (2012). Analysis of energy flux estimations over Italy using time-differencing models based on thermal remote sensing data.