Results 101 to 110 of about 2,165 (214)

Estimation of the SZIsnow Snow Index on Basin Scale Using the GLDAS Database

Journal of Water and Soil Science
Drought monitoring in snowy basins requires modifications in common drought indices, called snow drought indices. The latest developed snow index is SZIsnow. The SZIsnow index calculating with special algorithm requires access to the values of 22 different climatic and physical variables, including soil moisture at a depth of 0 to 10 centimeters, soil ...
F. Afsharipour, M.R. Sharifi, A. Motamedi   +2 more
openaire   +3 more sources

GroundHog: Revolutionizing GLDAS Groundwater Storage Downscaling for Enhanced Recharge Estimation in Bangladesh

CoRR
Long-term groundwater level (GWL) measurement is vital for effective policymaking and recharge estimation using annual maxima and minima. However, current methods prioritize short-term predictions and lack multi-year applicability, limiting their utility. Moreover, sparse in-situ measurements lead to reliance on low-resolution satellite data like GLDAS
Saleh Sakib Ahmed, Rashed Uz Zzaman, Saifur Rahman Jony, Faizur Rahman Himel, Afroza Sharmin, A. H. M. Khalequr Rahman, M. Sohel Rahman, Sara Nowreen   +7 more
openaire   +3 more sources

How reliable are long time-series reanalysis and model-based soil moisture products for agricultural soil water stress monitoring? Insights from a five-dataset evaluation across China

Agricultural Water Management
Reliable soil moisture (SM) information underpins agricultural water management, yet large uncertainties remain in how long-term SM products capture hydroclimatic extremes. We systematically evaluate five widely used datasets—ERA5-Land (land reanalysis),
Peng Li, Liang He, Xuetong Wang, Ermao Ding, Qiang Yu   +4 more
doaj   +1 more source

New and Improved GLDAS Data Sets and Data Services at NASA GES DISC [PDF]

, 2012
The goal of a Land Data Assimilation System (LDAS) is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and
Beaudoing, Hiroko, Rodell, Matthew, Rui, Hualan, Lei, Guang-Dih, Teng, William, Vollmer, Bruce   +5 more
core  

Study on Groundwater Storage Changes in Henan Province Based on GRACE and GLDAS

Sustainability
As a major agricultural center in China, Henan Province is highly dependent on groundwater resources for its socioeconomic development. However, under the triple pressure of intensive agricultural irrigation, surging industrial water demand, and accelerating urbanization, the sustainable use of groundwater resources has become a key issue for regional ...
Haijun Xu, Dongpeng Liu
openaire   +1 more source

Comparison of soil moisture in GLDAS model simulations and satellite observations over the Murray Darling Basin

, 2016
Soil moisture is a key hydrometeorological variable that can be derived from both modeling simulations and satellite observations. This study compares Global Land Data Assimilation System (GLDAS) output over the Murray Darling Basin against retrievals ...
Van Dijk, Albert, Liu, Yi Y., de Jeu, Richard A.M., McCabe, Matthew F., Su, H., Evans, Jason   +5 more
core  

A high-resolution (0.25 degree) historical global gridded dataset of monthly and annual cooling and heating degree-days (1970-2018) based on GLDAS data

, 2019
Users are recommended to consult the author (malcolm.mistry@unive.it / malmistry1977@gmail.com) for an updated version which includes more recent years.
Mistry, Malcolm, Mistry, Malcolm Noshir, Malcolm Noshir Mistry (7044215)   +2 more
core   +1 more source

Water availability identification from GRACE dataset and GLDAS hydrological model over data-scarce river basins of Ethiopia

The nature of the heterogeneity of terrestrial water storage in the main river basins of Ethiopia is poorly understood. In river basins, measurements of terrestrial water storage changes are exceedingly rare in all temporal dimensions.
Agegnehu Kitanbo Yoshe (18429695)
core   +1 more source

Evaluation of SMAP and CYGNSS Soil Moistures in Drought Prediction Using Multiple Linear Regression and GLDAS Product

Drought is a devastating natural hazard and exerts profound effects on both the environment and society. Predicting drought occurrences is significant in aiding decision-making and implementing effective mitigation strategies. In regions characterized by
Edokossi, Komi, Calabia Aibar, Andrés, Mazhar, Usman, Molina, Iñigo, Jin, Shuanggen   +4 more
core   +1 more source

Analysis of Three Hydro-Meteorological Parameters for the East Mediterranean Basin With Gldas Data

, 2022
In this study, precipitation, actual evapotranspiration and potential evapotranspiration in the East Mediterranean Basin were investigated temporally and spatially.
Köyceğiz, Cihangir, Büyükyıldız, Meral   +1 more
core