GLDAS data can be accessed via the Goddard Earth Sciences' (GES) Data and Information Services Center (DISC) (http://disc.gsfc.nasa.
For the cloud-free days of the dominating snow months (Jan-May) of 2013, for which there were no missing albedo data pixels, the above determined SWE values were compared with the 0.25Adeg resolution, 3 hourly SWE data of NOAH LSM downloaded from GLDAS. The entire Nuranang catchment was contained within a single 0.25Adeg x 0.25Adeg pixel and hence, the determined SWE values were averaged over space (snow pixels only) whereas the NOAH LSM 3 hourly SWE values were averaged over time (24 hours).
SM and SWE Data from GLDAS. Groundwater, soil moisture, and snow water are the significant contributors to the regional water storage observations.
The overall modelling strategy of GLDAS is to drive multiple, offline land surface models (LSMs), integrate a huge quantity of observation-based data, and generate global datasets with high resolution, enabled by the Land Information System.
The monthly SMAI was calculated by the soil moisture data of the GLDAS in the four soil layers (SMAI-1: 0.0m-0.1 m, SMAI-2: 0.1 m-0.4m, SMAI-3: 0.4m-1.0m, and SMAI-4: 1.0 m-2.0 m) in 2001-2015.
Ji, "Analysis of response of soil moisture to climate change in semi-arid Loess Plateau in China based on GLDAS data," Journal of Arid Meteorology, vol.
The second objective of the research was to compare the terrestrial water storage (TWS) obtained based on the Gravity Recovery and Climate Experiment (GRACE) observations and that derived from Global Land Data Assimilation System (GLDAS
and Beaudoing, H.: 2013, NASA/GSFC/HSL (12.01.2013), GLDAS
Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree Version 2.0, version 020, Greenbelt, Maryland, USA: Goddard Earth Sciences Data and Information Services Center (GES DISC).
The gridded soil moisture data in ANC were obtained from GLDAS
models outputs .
The SM contents were retrieved from SMOS and AMSR2; SM, wind speed (WS), surface temperature, and precipitation datasets from GLDAS
were utilized for generating MA products.
The GRACE and GLDAS
data were applied to detect the spatiotemporal distribution of TWSA.