Assessing the impacts of human activities on variations in terrestrial water storage (TWS) is essential for resource management, particularly regions like Aral Sea Basin which suffers from severe scarcity. In this study, TWS anomalies (TWSA) during period April 2002 to June 2017 were analyzed using Gravity Recovery and Climate Experiment (GRACE) data Global Land Data Assimilation System (GLDAS)...

Understanding the exchange of energy between surface and atmosphere is important in view climate scenario. However, it becomes a challenging task due to sparse network observations. This study aims improve balance estimates for Amazon, Cerrado, Pampa biomes located South America using radiation precipitation forcing obtained from Clouds Earth’s Radiant Energy System (CERES) CPTEC/MERGE datasets...

Drought can cause severe agricultural economic losses and hinder social development. To manage drought, the process of drought events needs to be described with help an effective indicator. As a comprehensive variable, soil moisture is essential indicator for describing drought. In this work, extreme in southwest China were analysed by Global Land Data Assimilation System (GLDAS) root zone data...

Soil moisture operational product system (SMOPS) is developed by National Oceanic and Atmospheric Administration (NOAA) to provide the real-time blended soil (SM) for numeric weather prediction national water model applications. However, all individual satellite SM data ingested into current SMOPS are scaled global land assimilation (GLDAS) 0–10 cm climatology before combination. As a result, u...

This study uses the observed vertical displacements of Global Positioning System (GPS) time series obtained from the Crustal Movement Observation Network of China (CMONOC) with careful pre- and post-processing to estimate the seasonal crustal deformation in response to the hydrological loading in lower three-rivers headwater region of southwest China, followed by inferring the annual EWH change...