Merging Remote Sensing and In Situ Data for Estimation of Energy Balance Components Under Climate Change Conditions: Ukrainian Steppe Zone
Climate change is recognized as one of the most important natural events in the past decades. Energy balance components (surface temperature, evapotranspiration, etc.) are closely related with climate change. Therefore adaptation of the existent models is needed for future climate. A shortage of surface weather observations due to the reduction of permanent weather networks requires combining remote sensing and in situ observations. This work is devoted to merging of these two data types in estimation of energy balance components of the Ukrainian steppe zone under climate warming condition.
KeywordsClimate change Energy balance Evapotranspiration Remote sensing data
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