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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Uncovering the shortcomings of a weather typing method
TL;DR: In this paper, the authors evaluate the accuracy of a weather typing method for precipitation downscaling in central Belgium during the winter season (December to February) by using the observations and outputs of a global climate model ensemble and demonstrate the added value of Clausius-Clapeyron relationship for precipitation amount scaling.
Dissertation
Extreme precipitation in low mountain ranges in Central Europe : a comparative study between the Vosges and the Ore Mountains
TL;DR: In this article, the methode weather Extremity Index (MEI) was used to evaluate the effect of precipitation extremes (EPEs) on fortes pluies dans les Monts Metalliferes (OM) and les Vosges (VG) en Europe centrale.
Journal ArticleDOI
Precipitation Extremes and Water Vapor
J. David Neelin,Cristian Martinez-Villalobos,Samuel N. Stechmann,Fiaz Ahmed,Gang Chen,Jesse Norris,Yi-Hung Kuo,Geert Lenderink +7 more
TL;DR: This article reviewed the current understanding of how precipitation is related to its thermodynamic environment, i.e., the water vapor and temperature in the surroundings, and implications for changes in extremes in a warmer climate.
Journal ArticleDOI
Visual and statistical inference of hourly and sub-hourly extreme rainfall trends Central Anatolia, Turkey case
TL;DR: In this article, the analysis of long-term rainfall data in a changing climate is important because it has many sectoral applications such as agriculture, infrastructure, and water resources management.
Journal ArticleDOI
Uncertainty of Rate of Change in Korean Future Rainfall Extremes Using Non-Stationary GEV Model
TL;DR: In this paper, a methodology is proposed to investigate future rainfall extremes using future surface air temperature (SAT) or dew point temperature (DPT) as a co-variate.
References
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Journal ArticleDOI
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