2019
DOI: 10.3390/rs11030216
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Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta

Abstract: The energy delivered to the land surface via insolation is a primary driver of evapotranspiration (ET)-the exchange of water vapor between the land and atmosphere. Spatially distributed ET products are in great demand in the water resource management community for real-time operations and sustainable water use planning. The accuracy and deliverability of these products are determined in part by the characteristics and quality of the insolation data sources used as input to the ET models. This paper investigate… Show more

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Cited by 24 publications
(13 citation statements)
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“…Estimates of GPP often rely on LUE models, which are rooted in a linear relationship between absorbed PAR (APAR) and net primary production (Medlyn, 1998;Monteith, 1972). An ideal LUE in the absence of environmental stresses is specified and attenuated with the use of stress functions that describe the relationship between LUE and environmental stressors (Anderson et al, 2000;Mahadevan et al, 2008;Robinson et al, 2018;Running et al, 2004;Yuan et al, 2007;Zhang et al, 2016;Zhao et al, 2005). The most widely used environmental stressors include functions to describe temperature and moisture stress on LUE.…”
Section: Carbon Cycle Sciencementioning
confidence: 99%
“…Estimates of GPP often rely on LUE models, which are rooted in a linear relationship between absorbed PAR (APAR) and net primary production (Medlyn, 1998;Monteith, 1972). An ideal LUE in the absence of environmental stresses is specified and attenuated with the use of stress functions that describe the relationship between LUE and environmental stressors (Anderson et al, 2000;Mahadevan et al, 2008;Robinson et al, 2018;Running et al, 2004;Yuan et al, 2007;Zhang et al, 2016;Zhao et al, 2005). The most widely used environmental stressors include functions to describe temperature and moisture stress on LUE.…”
Section: Carbon Cycle Sciencementioning
confidence: 99%
“…This thermal-based approach has been successfully applied over multiple landcover types [23,[32][33][34][35][36][37][38], including vineyards [39,40]. The vineyard-specific applications of the ALEXI/DisALEXI modeling scheme demonstrated utility in monitoring vine water use and stress, capturing within-vineyard spatial heterogeneity of ET a and matching tower observations.…”
Section: Introductionmentioning
confidence: 99%
“…4.1), giving optimal spatial and temporal correspondence between net radiation forcings and surface temperature response signals. In comparison with other sources of insolation data, geostationary-based insolation could improve significantly ET retrievals particularly in areas of frequent cloud cover where reanalysis estimates may not accurately capture the timing and spatial extents of clouds (Anderson et al, 2019;S. Ha et al, 2020).…”
Section: Evapotranspiration Latent Heat Flux and Sensible Heat Fluxmentioning
confidence: 99%