000			01325nam a2200133Ia 4500
008			220615s9999||||xx |||||||||||||| ||und||
020			_a9783040000000
245		0	_aHydrometeorological Extremes and Its Local Impacts on Human-Environmental Systems
546			_aEnglish[eng]
650			_aflood risk||urban flood forecasting and warning||inland-river combined flood system||LSTM||artificial neural network||neurons||layers||temperature||South Korea||deep learning||reference evapotranspiration||climate change||drought||meteorological extremes||climatic variables||wind speed||extreme El Niño event||tropical cyclone||tropical cyclone-induced precipitation||China||Bayesian approach||nonstationarity||reanalysis products||quantile delta mapping||ranges of flood sizes||specific flood distributions||ungauged watersheds||influence of rainfall characteristics||depth-averaged temperature||decision tree||lifetime maximum intensity||climate variability||seasonality||dengue fever||vector||rainfall||Bangladesh||copula function||drought duration||drought severity||land-ocean temperature contrast/meridional temperature gradient||standardized precipitation evapotranspiration index
700			_aKim, Jong-Suk||Dhakal, Nirajan||Jun, Changhyun||Lee, Taesam
856			_uhttps://mdpi.com/books/pdfview/book/5254
942			_cEB
999			_c11617 _d11617