Results 111 to 120 of about 2,165 (214)

Bias Correction of GLDAS‐Derived Daily Minimum Soil Temperature (DMST) in Shallow and Deeper Soil Profiles Using Supervised Machine Learning Algorithm

Meteorological Applications
This study investigates the accuracy of GLDAS‐Noah‐2.1 daily minimum soil temperature (DMST) at 0–10 cm (shallow) and 40–100 cm (deeper) depths in Khorasan Razavi, Iran, using 5 years (2008–2012) of data from 13 synoptic stations.
Abolghasem Akbari, Majid Rajabi Jaghargh, Atefeh Hosseini, Fatemeh Pakdin   +3 more
doaj   +1 more source

Comparison Of Evapotranspiration In Gldas Model Simulations And Satellite Observations Over Musi River Basin And Its Relationship To Vegetation Index

, 2011
Evapotranspiration is one of the key hydro-meteorological variables that can be obtained from the simulation modeling and satellite observations. This study compared the output of Global Land Data assimilation System (GLDAS) in Musi River Basin with data
Sinta Berliana S., Safrudin, Nani Cholianawati   +2 more
core  

Estimation of quantitative measures of total water storage variation from GRACE and GLDAS-NOAH satellites using geospatial technology

, 2017
This study represents the first attempt to examine spatial and seasonal variations of the surface water budget by using the Gravity Recovery and Climate Experiment (GRACE) by measuring gravity anomalies on earth to estimate changes in Total Water Storage
JASROTIA, AS, KOTLIA, BS, SINGH, KK, TALOOR, AK, KUMAR, V, SINGH, AK, RAY, PKC, ROY, S, SHARMA, AK   +8 more
core   +1 more source

A high spatiotemporal resolution global gridded dataset of historical (1970-2018) human discomfort Indices 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. The human discomfort indices (HDIs) are computed using meteorological parameters from the Global Land
Mistry, Malcolm Noshir, Malcolm Noshir Mistry (7044215)   +1 more
core   +1 more source

Time-varying hydrometeorological variables calculated from estimates extracted from GLDAS [40] and included in the Plan-EO database.

Time-varying hydrometeorological variables calculated from estimates extracted from GLDAS [40] and included in the Plan-EO database.
Pavel Chernyavskiy (9987376), Venkataraman Lakshmi (11829485), Lauren M. Gardner (4778718), Samarth Swarup (4059514), Eric Houpt (75426), Malena K. Nong (18064914), Benjamin F. Zaitchik (6855608), Hamada S. Badr (10579505), Josh M. Colston (7871804), Margaret N. Kosek (4268866), Bin Fang (251525)   +10 more
core   +1 more source

Spatiotemporal variations in terrestrial water storage: A comparative analysis using gravimetry satellite data and water balance methods over Ethiopia

Scientific African
This study examines spatiotemporal variations in terrestrial water storage (TWS) and drought conditions over Ethiopia using Gravity Recovery and Climate Experiment and its Follow-On mission (GRACE (-FO)) satellite data and the water balance method.
Natnael Agegnehu Ayele, Andenet Ashagrie Gedamu, Wondwossen Mindahun, Muralitharan Jothimani   +3 more
doaj   +1 more source

Reconstruction of terrestrial water storage anomalies in Northwest China during 1948–2002 using GRACE and GLDAS products

, 2018
Commencement of the Gravity Recovery and Climate Experiment (GRACE) provides an alternative way to monitor changes in terrestrial water storage (TWS) at large scales. However, GRACE dataset spans from 2002 to present, which greatly limits the application
Tiejun Wang, Jun Xia, Chesheng Zhan, Peng Yang   +3 more
core   +1 more source

Análisis estacional de las principales unidades hidrográficas de Sudamérica basado en datos satélites (GPS, TRMM, GLDAS).

, 2016
Tesis presentada para optar al título de Ingeniero GeomáticoEn el presente trabajo, se han analizado la estacionalidad de las principales unidades hidrográficas de América del Sur, identificando impactos climáticos como las sequías basándose en datos ...
Salcedo Ramírez, Luis Felipe
core   +1 more source

Customer-oriented Data Formats and Services for Global Land Data Assimilation System (GLDAS) Products at the NASA GES DISC [PDF]

, 2008
The Global Land Data Assimilation System (GLDAS) is generating a series of land surface state (e.g., soil moisture and surface temperature) and flux (e.g., evaporation and sensible heat flux) products simulated by four land surface Models (CLM, Mosaic ...
Beaudoing, Hiroko, Rodell, Matthew, Fang, Hongliang, Teng, BIll, Vollmer, Bruce   +4 more
core  

Characterizing the 2019-2021 drought in La Plata River Basin with GLDAS and SMAP

Study region: The La Plata River Basin (LPRB) is an area of interest, as there was a significant drought event from 2019 to 2021. With the LPRB being the second largest river basin in South America, this drought affected all aspects of life for over 100 ...
Augusto Getirana, Venkataraman Lakshmi, Hiroko Beaudoing, Jessica Besnier   +3 more
core   +1 more source