Climate variability and change in the 21th Century
English[eng]
California||hydrologic regions||warming||drought||regional climate modeling||hydrological modeling||bias correction||multivariate||pseudo reality||rainfall||trend analysis||Mann–Kendall||kriging interpolation||multiple climate models||standardized precipitation index (SPI)||droughts||weights||Vu Gia-Thu Bon||climate change||optimal control||geoengineering||climate manipulation||GCM||RCM||CMIP5||CORDEX||climate model selection||upper Indus basin||NDVI||ENSO||wavelet||time series analysis||Hluhluwe-iMfolozi Park||Google Earth Engine||Mediterranean climate||cluster analysis||objective classification||ERA5||mega-fires||Bayesian-model averaging||model uncertainty||climate-fire models||Mono River watershed||climate||temperature||heat wave||excess heat factor||acclimatization||Greece||precipitations||Hurst exponent||persistence||spatial correlation||Caucasian region||Regional Climate Model||climate classification||bias correction methods||precipitation||terrestrial ecosystems||GPP||LAI||CO2 fertilization effect||feedback||sassandra watershed||Côte d’Ivoire||boreal region||extreme wind speed||wind climate||soil frost||wind damage risk management||wind multiplier||downscaling||topography||surface roughness||VIIRS||MODIS||OLCI||RSB||SNPP||Terra||Aqua||Sentinel-3A||reflective solar bands||intersensor comparison||intercalibration||SNO||climate indices||climate change and Conakry