As an important forcing data for hydrologic models, precipitation has significant effects on model simulation. The China Meteorological Forcing Dataset (ITP) and Global Land Data Assimilation System (GLDAS) precipitation data are the two commonly used data sources in the Heihe River Basin (HRB). This paper focused on evaluating the accuracy of these two precipitation datasets. A set of metrics ...

Aimed at mapping time variations in the Earth’s gravity field, the Gravity Recovery and Climate Experiment (GRACE) satellite mission is applicable to access terrestrial water storage (TWS), which mainly includes groundwater, soil moisture (SM), and snow. In this study, SM and accumulated snow water equivalent (SWE) are simulated by the Global Land Data Assimilation System (GLDAS) land surface m...

The availability of hydrologic data is an important step for hydrological modeling and water resource management in the world. Unfortunately, the in situ observations with the right characteristics are very sparse globally, particularly in Africa. Understanding the climate variability of Africa and its prominent role as the heat engine of the global climate system is one of the key goals in cli...

Four different data sources have been compared with respect to observations of the annual water storage variations in the region of Bangladesh. Data from satellite altimeters and river gauges estimates the variation in surface water storage in the major rivers of Bangladesh. The GRACE satellites measure the integrated mass change and hence the terrestrial soil moisture variations, which can als...

In this paper, we compare the efficiency of two models to estimate the surface displacements due to continental water storage (CWS) variations over continental North America. The first model, the monthly North America Land Data Assimilation System Phase 2 Noah (NLDAS2 Noah) is a model of CWS restricted to North America. The second data set, the Global Land Data Assimilation System Noah (GLDAS N...

ABSTRACT The present study aimed to apply and assess an exponential filter that calculates the root-zone soil moisture using surface data from ocean salinity (SMOS) satellite, as well simulated in land-surface models global databases. water index (obtained after application of filter) land (GLDAS-CLSM, GLDAS-Noah, ERA5-Land) databases were compared with situ evaluate their efficiency estimating...