Azala

Remote Sensing of Hydro-Meteorology

Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and...

Deskribapen osoa

Gorde:
Formatua: Online
Hizkuntza:ingelesa
Argitaratua: MDPI - Multidisciplinary Digital Publishing Institute 2022
Gaiak:
spatial downscaling
MODIS chlorophyll-a
sentinel-2A MSI
multiple polynomial regression
genetic programming
rainfall variability
Indian Ocean Dipole (IOD)
El Niño–Southern Oscillation (ENSO)
intentional statistical simulation
satellite-based precipitation
hydrological modeling
error propagation
monsoon-climate watershed
typhoon-induced rainfall
prediction
statistical model
fuzzy C-means clustering
China
remote sensing
integrated drought monitoring
meteorological drought
hydrological drought
agricultural drought
Bayesian principal component analysis (BPCA)
statistical simulation
extreme precipitation index
PERSIANN-CDR
KGE
linear trend
Huai River Basin
Indian Ocean Dipole mode
El Niño–Southern Oscillation
singular spectrum analysis
mutual information
non-stationarity of seasonal precipitation
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Sarrera elektronikoa:ONIX_20220506_9783036516301_134
Etiketak: Etiketa erantsi
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Gaia:Flood/drought, risk management, and policy: decision-making under uncertainty. Hydrometeorological extremes and their impact on human–environment systems. Regional and nonstationary frequency analysis of extreme events. Detection and prediction of hydrometeorological extremes with observational and model-based approaches. Vulnerability and impact assessment for adaptation to climate change.

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