ESTIMATING EVAPORATION FROM SATELLITE REMOTE SENSING AND METEOROLOGICAL PARAMETERS

Northeastern Thailand is central to agriculture, growing rice and crops. Recently, this region has faced extreme climate conditions, more water in the rainy season, and drought in the dry months, which is a big concern for the Thai government to resolve. Lakes are essential in supporting the local nation in this area to solve the problem. Nong Han Lake is the second biggest nature lake in Thailand. Therefore, information on the hydrologic system is essential for efficient water management. This work focused on estimating the evaporation loss of the water system for Nong Han Lake. The relationship of evaporation with solar radiation (SR) and metrological parameters was investigated using the linear mixed effect (LME). Evaporation (EVA) data were retrieved from the Thai Meteorological Department (TMD), and metrological parameters were obtained from the National Centres for Environmental Prediction (NCEP)/the National Centre for Atmospheric Research (NCAR) global reanalysis. SR was downloaded from the Clouds and the Earth's Radiant Energy System (CERES). EVA changes throughout the year, reaching a peak in April compared with December. The model confirms that predicted EVA obtained from meteorological parameters has a high performance for increasing existing ground-based EVA monitoring networks.