Journal ArticleDOI
Complexity in estimating past and future extreme short-duration rainfall
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TLDR
In this article, an analysis suggests that links ofrainfall extremes with daily temperature variations do not provide a reliable basis for projections, and the observed precipitation-temperature scaling relationships have been established almost exclusively by linking precipitation extremes with day-to-day temperature variations.Abstract:
The atmosphere can hold more water in a warming climate, which may lead to more extreme rainfall events. An analysis suggests that links ofrainfall extremes with daily temperature variations do not provide a reliable basis for projections. Warming of the climate is now unequivocal. The water holding capacity of the atmosphere increases by about 7% per °C of warming, which in turn raises the expectation of more intense extreme rainfall events. Meeting the demand for robust projections for extreme short-duration rainfall is challenging, however, because of our poor understanding of its past and future behaviour. The characterization of past changes is severely limited by the availability of observational data. Climate models, including typical regional climate models, do not directly simulate all extreme rainfall producing processes, such as convection. Recently developed convection-permitting models better simulate extreme precipitation, but simulations are not yet widely available due to their computational cost, and they have their own uncertainties. Attention has thus been focused on precipitation–temperature relationships in the hope of obtaining more robust extreme precipitation projections that exploit higher confidence temperature projections. However, the observed precipitation–temperature scaling relationships have been established almost exclusively by linking precipitation extremes with day-to-day temperature variations. These scaling relationships do not appear to provide a reliable basis for projecting future precipitation extremes. Until better methods are available, the relationship of the atmosphere's water holding capacity with temperature provides better guidance for planners in the mid-latitudes, albeit with large uncertainties.read more
Citations
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Assessing the performance of satellite derived and reanalyses data in capturing seasonal changes in extreme precipitation scaling rates over the Indian subcontinent
TL;DR: In this paper , the performance of three high resolution data sets (GPM-IMERG satellite derived, ERA5 and IMDAA reanalysis precipitation) in determining the seasonal variations in precipitation-temperature scaling rates are investigated.
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Climate Change Flood Risk Analysis: Application of Dynamical Downscaling and Hydrological Modeling
TL;DR: In this paper , the authors evaluated the susceptibility of the urban drainage infrastructure in João Monlevade, Brazil, to the effects of climate change by undertaking a comprehensive assessment of the Carneirinhos catchment, including its morphometric characteristics.
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Seasonal variations in the dynamic and thermodynamic response of precipitation extremes in the Indian subcontinent
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A Comparison of Different Station Data on Revealing the Characteristics of Extreme Hourly Precipitation Over Complex Terrain: The Case of Zhejiang, China
TL;DR: In this article , the characteristics of extreme hourly precipitation in Zhejiang Province are investigated using three rainfall data sets at three threshold criteria, and the comparison between different data sets shows that increasing the station density can better reflect the climatic spatial distribution of EXHP thresholds if long-term data is absent.
Journal ArticleDOI
Temperature‐Precipitation Scaling Rates: A Rainfall Event‐Based Perspective
TL;DR: In this article , the authors showed that extreme rainfall can also respond to temperature increases at a rate larger than the Clausius-Clapeyron scaling (super CC scaling), which represents the rate of change of the atmospheric water holding capacity with temperature.
References
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