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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.

Technology: general issues --- History of engineering & technology --- 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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Technology: general issues --- History of engineering & technology --- 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 --- 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