Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026924 |
An improved covariate for projecting future rainfall extremes? | |
Thomas P. Roderick; Conrad Wasko; Ashish Sharma | |
2020-07-04 | |
发表期刊 | Water Resources Research |
出版年 | 2020 |
英文摘要 | Projection of extreme rainfall under climate change remains an area of considerable uncertainty. In the absence of geographically consistent simulations of extreme rainfall for the future, alternatives relying on physical relationships between a warmer atmosphere and its moisture carrying capacity are projected, scaling with a known atmospheric covariate. The most common atmospheric covariate adopted is Surface Air Temperature, as it exhibits great consistency across climate model simulations into the future, and as per the Clausius Clapeyron relationship, has a well‐established link to atmospheric moisture capacity. However, empirical assessments of this relationship show that it varies with latitude, surface temperature, atmospheric temperature, as well as other factors, suggesting there may be more stable “global” atmospheric covariates that could be used instead. We argue that a better suited covariate would be one that captures the relationship between extreme rainfall and temperature but exhibits greater consistency in the relationship across regions as well as climatic zones. Our analysis identifies plausible atmospheric indicators of changes to future extreme rainfall which now proliferate literature and compares their suitability based on the variability they exhibit across multiple geographical, topographic and climatic zones within Australia. It is shown that Surface Air Temperature exhibits a regionally inconsistent relationship with extreme rainfall and hence is not suitable for projecting to future conditions. The study identified Integrated Water Vapour and Surface Dew Point Temperature as promising alternatives, with the former showing greater consistency in space but at the cost of reduced temporal coverage. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/281746 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Thomas P. Roderick,Conrad Wasko,Ashish Sharma. An improved covariate for projecting future rainfall extremes?[J]. Water Resources Research,2020. |
APA | Thomas P. Roderick,Conrad Wasko,&Ashish Sharma.(2020).An improved covariate for projecting future rainfall extremes?.Water Resources Research. |
MLA | Thomas P. Roderick,et al."An improved covariate for projecting future rainfall extremes?".Water Resources Research (2020). |
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