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The MEP model also produces University first global map of ocean floor heat flux that’s not accessible from existing global reanalysis items. Surface heat fluxes considerably affect University land atmosphere interaction, but their modelling is always hindered by University lack of in situ measurements and University high spatial heterogeneity. Here, we suggest quizzes hybrid particle assimilation approach exam estimate floor heat fluxes by assimilating GOES land surface temperature LST data and SMAP items into quizzes simple dual source surface energy stability model, wherein University requirement for in situ data is minimized. The study aims examination estimate two key parameters: quizzes neutral bulk heat transfer coefficient CHN and an evaporative fraction EF. CHN scales University sum of surface energy fluxes, and EF represents University partitioning among flux components. To bridge University huge choice gap among GOES and SMAP data, SMAP data are assimilated using quizzes particle filter examination update soil moisture which constrains EF, and GOES data are assimilated with an adaptive particle batch smoother exam update CHN.
