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Remote Sensing of Hydro-Meteorology
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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.

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Keywords

  • agricultural drought
  • Bayesian principal component analysis (BPCA)
  • China
  • El Niño–Southern Oscillation
  • El Niño–Southern Oscillation (ENSO)
  • error propagation
  • extreme precipitation index
  • fuzzy C-means clustering
  • genetic programming
  • History of engineering & technology
  • Huai River Basin
  • hydrological drought
  • hydrological modeling
  • Indian Ocean Dipole (IOD)
  • Indian Ocean Dipole mode
  • integrated drought monitoring
  • intentional statistical simulation
  • KGE
  • linear trend
  • meteorological drought
  • MODIS chlorophyll-a
  • monsoon-climate watershed
  • multiple polynomial regression
  • mutual information
  • non-stationarity of seasonal precipitation
  • PERSIANN-CDR
  • prediction
  • rainfall variability
  • Remote sensing
  • satellite-based precipitation
  • sentinel-2A MSI
  • singular spectrum analysis
  • spatial downscaling
  • statistical model
  • statistical simulation
  • Technology, engineering, agriculture
  • Technology: general issues
  • typhoon-induced rainfall

Links

DOI: 10.3390/books978-3-0365-1629-5

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