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Modelling the spatial distribution of evapotranspiration on different scales using remote sensing data

Journal of Hydrology, 212-213: 250--267, 1998.
Authors: Wolfram Mauser and Stephan Schadlich
URL: http://dx.doi.org/10.1016/S0022-1694(98)00228-5
Tags: and, models, remote, sensing
Abstract: The PROMET-family of spatial evapotranspiration models permits modelling of evapotranspiration at field scale, as well as microscale and mesoscale. The model-family consists of a kernel model (a SVAT based on Penman-Monteith and a plant-physiological model for the influence of environmental parameters on canopy resistance) and a spatial modeller, which provides and organises adequate spatial input data on the field , micro and mesoscale. Model results on the field scale show good agreement with measurements. Spatial data is set up using remote sensing and conventional data sources for a 150x100km mesoscale test region in Upper Bavaria and a 7x13 km microscale test region embedded in the mesoscale area. The model is run on both scales. Microscale model results are successfully verified using field measurements and water-balance data taken from literature. Mesoscale model results compare well both with microscale model results and satellite-measured patterns of surface temperature.
| URL | BibTeX  
@article{Mauser1998Modelling,
title = {Modelling the spatial distribution of evapotranspiration on different scales using remote sensing data},
author = {Wolfram Mauser and Stephan Schadlich},
journal = {Journal of Hydrology},
month = {December},
pages = {250--267},
url = {http://dx.doi.org/10.1016/S0022-1694(98)00228-5},
volume = {212-213},
year = {1998},
abstract = {The PROMET-family of spatial evapotranspiration models permits modelling of evapotranspiration at field scale, as well as microscale and mesoscale. The model-family consists of a kernel model (a SVAT based on Penman-Monteith and a plant-physiological model for the influence of environmental parameters on canopy resistance) and a spatial modeller, which provides and organises adequate spatial input data on the field , micro and mesoscale. Model results on the field scale show good agreement with measurements. Spatial data is set up using remote sensing and conventional data sources for a 150x100km mesoscale test region in Upper Bavaria and a 7x13 km microscale test region embedded in the mesoscale area. The model is run on both scales. Microscale model results are successfully verified using field measurements and water-balance data taken from literature. Mesoscale model results compare well both with microscale model results and satellite-measured patterns of surface temperature.},
posted-at = {2007-03-08 10:16:26}, citeulike-article-id = {1146850}, priority = {0}, doi = {10.1016/S0022-1694(98)00228-5},
keywords = {and, models, remote, sensing }
}