Reprint

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

Edited by
December 2023
250 pages
  • ISBN978-3-0365-9665-5 (Hardback)
  • ISBN978-3-0365-9664-8 (PDF)

This book is a reprint of the Special Issue Hydroclimate in a Changing World: Recent Trends, Current Progress and Future Directions that was published in

Chemistry & Materials Science
Environmental & Earth Sciences
Summary

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.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
El Niño; winter weather types; precipitable water; surface water vapor pressure; consistency; interannual and long-term trend; precipitation; trend analysis; Iraq; climate projection; CMIP5; groundwater levels; rainfall; temperature; Mann–Kendall test; Bayesian Ensemble Algorithm; rainstorm process; rainstorm intensity; risk estimation and mapping; CMIP6; risk prediction; Southwest China; rainstorm and flood; spatial and temporal change; atmospheric circulation; rainfall change; CHIRPS; PERSIANN-CDR; descriptive statistics; non-parametric trends; Google Earth Engine; central Punjab; climate change; land cover/land use; vegetation; NDVI; Huai River Basin; trends and variability; flood magnitude; climate change; Qilian Mountains; cyclones power dissipation index (PDI); monsoon trough; El Niño southern oscillation (ENSO); Indian Ocean dipole (IOD); Walker circulation; predictability; global; seasonal precipitation; ENSO; MJO; climate trend; land use land cover; Nile River Basin; water resources; raindrop spectrum; radar; dynamic Z-I; LSTM neural network; precipitation estimation; Loess Plateau; spring maize; relative soil moisture; drought index; n/a