Hydroclimate in a Changing World: Recent Trends, Current Progress and Future Directions

Global warming is imposing tremendous challenges upon human and otherwise biotic life on Earth. A warmer atmosphere holds more moisture. The consensus is that the moisture transport by the atmospheric circulation strengthens and makes already wet areas of moisture convergence wetter and already dry...

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Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
MJO
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Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
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520 |a Global warming is imposing tremendous challenges upon human and otherwise biotic life on Earth. A warmer atmosphere holds more moisture. The consensus is that the moisture transport by the atmospheric circulation strengthens and makes already wet areas of moisture convergence wetter and already dry areas of moisture divergence drier. Therefore, the tropics and mid-to-high latitudes will get wetter and the subtropics will get drier. Without any change in the interannual variability of hydroclimate, the change in the mean hydroclimate would equally increase drought risk in some places and flood risk in others. Moreover, global warming will cause the interannual variability of the hydroclimate to intensify, which will induce more droughts and floods. Furthermore, the changing atmospheric circulation interaction with the land surface may cause storm track alterations and may play an important role in shaping moisture redistribution. The author's contributions have documented the precipitation trends in southeast of the US, the Nile River Basin Ethiopia, Iraq, the Huai River Basin of northern China, and the Qilian Mountains of western China. The precipitation predictability on both global and regional scales are also studied. The interaction among climate systems in southeast Asia is also explicitly documented. 
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650 7 |a Meteorology & climatology  |2 bicssc 
650 7 |a Research & information: general  |2 bicssc 
653 |a atmospheric circulation 
653 |a Bayesian Ensemble Algorithm 
653 |a central Punjab 
653 |a CHIRPS 
653 |a climate change 
653 |a climate projection 
653 |a climate trend 
653 |a CMIP5 
653 |a CMIP6 
653 |a consistency 
653 |a cyclones power dissipation index (PDI) 
653 |a descriptive statistics 
653 |a drought index 
653 |a dynamic Z-I 
653 |a El Niño 
653 |a El Niño southern oscillation (ENSO) 
653 |a ENSO 
653 |a flood magnitude 
653 |a global 
653 |a Google Earth Engine 
653 |a groundwater levels 
653 |a Huai River Basin 
653 |a Indian Ocean dipole (IOD) 
653 |a interannual and long-term trend 
653 |a Iraq 
653 |a land cover/land use 
653 |a land use land cover 
653 |a Loess Plateau 
653 |a LSTM neural network 
653 |a Mann-Kendall test 
653 |a MJO 
653 |a monsoon trough 
653 |a n/a 
653 |a NDVI 
653 |a Nile River Basin 
653 |a non-parametric trends 
653 |a PERSIANN-CDR 
653 |a precipitable water 
653 |a precipitation 
653 |a precipitation estimation 
653 |a predictability 
653 |a Qilian Mountains 
653 |a radar 
653 |a raindrop spectrum 
653 |a rainfall 
653 |a rainfall change 
653 |a rainstorm and flood 
653 |a rainstorm intensity 
653 |a rainstorm process 
653 |a relative soil moisture 
653 |a risk estimation and mapping 
653 |a risk prediction 
653 |a seasonal precipitation 
653 |a Southwest China 
653 |a spatial and temporal change 
653 |a spring maize 
653 |a surface water vapor pressure 
653 |a temperature 
653 |a trend analysis 
653 |a trends and variability 
653 |a vegetation 
653 |a Walker circulation 
653 |a water resources 
653 |a winter weather types 
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