W
Wee Ho Lim
Researcher at Chinese Academy of Sciences
Publications - 29
Citations - 1041
Wee Ho Lim is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Surface runoff & Climate model. The author has an hindex of 15, co-authored 29 publications receiving 765 citations. Previous affiliations of Wee Ho Lim include Tokyo Institute of Technology & Australian National University.
Papers
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Journal ArticleDOI
A general framework for understanding the response of the water cycle to global warming over land and ocean
Michael L. Roderick,Fubao Sun,Fubao Sun,Wee Ho Lim,Wee Ho Lim,Wee Ho Lim,Graham D. Farquhar,Graham D. Farquhar +7 more
TL;DR: In this paper, it was shown that the simple latitudinal average Clausius-Clapeyron (CC) scaling relation does not hold at local (grid box) scales over either ocean or land.
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Global drought and severe drought-affected populations in 1.5 and 2 °C warmer worlds
TL;DR: In this article, the authors presented the first risk-based assessment of changes in global drought and the impact of severe drought on populations from additional 1.5 and 2.5°C above preindustrial levels, showing increases in drought durations from 2.9 to 3.2°C.
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Global Floods and Water Availability Driven by Atmospheric Rivers
Homero Paltan,Homero Paltan,Duane E. Waliser,Wee Ho Lim,Wee Ho Lim,Bin Guan,Bin Guan,Dai Yamazaki,Dai Yamazaki,Raghav Pant,Simon Dadson +10 more
TL;DR: In this paper, the authors quantify the relative contribution of AR variability to both flood hazard and water availability and find that globally, precipitation from ARs contributes 22% of total global runoff, with a number of regions reaching 50% or more.
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On wind speed pattern and energy potential in China
TL;DR: In this article, the authors combine the advantages of large network of wind speed observations (2430 meteorological stations; 2006-2015) and the grid-based method in order to create the spatiotemporal distributions of wind resource at the hub height.
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Hydroclimatic projections for the Murray‐Darling Basin based on an ensemble derived from Intergovernmental Panel on Climate Change AR4 climate models
TL;DR: In this paper, the authors used an ensemble of 39 climate model runs based on the A1B emissions scenario to assess hydroclimatic projections for the Murray-Darling Basin (MDB) using a quantile-based bias correction approach.