Results 121 to 130 of about 2,165 (214)

Drought Susceptibility Mapping In Iraq Using GRACE/GRACE-FO, GLDAS, And Machine Learning Algorithms

Drought susceptibility mapping is crucial for mitigating water scarcity and its cascading effects. This study utilizes machine learning (ML) and Gravity Recovery and Climate Experiment (GRACE) data to identify drought-prone areas in Iraq.
Alzahrani, Hassan, Al-Moosawi, Noor M., Handhal, Amna M., Al-Abadi, Alaa M., Anderson, Neil Lennart, Hassan, Ayat Ali, Jabbar, Fadhil K.   +6 more
core   +1 more source

Global Land Data Assimilation System (GLDAS) products, services and applications from NASA

, 2009
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 ...
William L Teng, Matthew Rodell, Hiroko K Beaudoing, Hongliang Fang, Bruce E Vollmer   +4 more
core  

Warming-driven rise in soil moisture entropy signals growing instability risk in the Asian Water Tower. [PDF]

Nat Commun
Xie Y, Liu T, Ma X, Lyu Y, Wang X, Qian Y, Zhang Y, Wang M, Chen X.   +8 more
europepmc   +1 more source

Stratospheric impacts on Eurasian soil moisture on subseasonal timescales. [PDF]

Nat Commun
Dai Y, Hitchcock P, Lehner F, Fadnavis S.   +3 more
europepmc   +1 more source

Overcoming single model bias through GRACE and multi model data reveals Iran water storage depletion drivers. [PDF]

Sci Rep
Yuan X, Wang F, Zhou Y, Zhou S.
europepmc   +1 more source

Spatio-temporal groundwater storage trends in the Woleka sub-basin, Ethiopia: A comparative assessment of GRACE-CSR mascon and GLDAS-2.2 DA CLSM datasets with in situ validation

Graphical abstract illustrating the overall workflow of the study, from data collection and processing to analysis, output generation, and interpretation of the results.
Samuel Dagalo Hatiye, Abunu Atlabachew Eshete, Wasihun Deribe Tsegaw   +2 more
core   +1 more source

Dynamic modelling of landslide susceptibility in response to hydro-meteorological variability in the Himalayas. [PDF]

Sci Rep
Sharma S, Barbhuiya S, Das S, Gupta V, Uday KV.   +4 more
europepmc   +1 more source

Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements. [PDF]

Sci Data
Seo J, Panahi M, Kim J, Bateni S, Kim Y.
europepmc   +1 more source

Soil moisture memory and spatial-temporal variability on the Qinghai-Tibet Plateau by multi-source remote sensing data. [PDF]

Sci Rep
Fan Z, Peng D, Gong Y, Wang T, Chen X, Gu Y, Pang B.   +6 more
europepmc   +1 more source

US EPA approves AkzoNobel GLDA chelates

Focus on Surfactants, 2011
openaire   +1 more source