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Development of a Satellite Land Data Assimilation System Coupled With a Mesoscale Model in the Tibetan Plateau
Atmospheric modeling data assimilation land– atmosphere interaction microwave remote sensing soil moisture
2013/9/2
Soil moisture is the central focus of land surface and atmospheric modeling because it controls surface water and energy fluxes and consequently affects land–atmosphere interactions. Although global o...
Development of the Coupled Atmosphere and Land Data Assimilation System (CALDAS) and Its Application Over the Tibetan Plateau
Cloud data assimilation land–atmosphere interactions land data assimilation (LDAS) microwave remote sensing numerical weather prediction (NWP)
2013/9/2
Land surface heterogeneities are important for accurate estimation of land–atmosphere interactions and their feedbacks on water and energy budgets. To physically introduce existing land surface hetero...