scholarly journals Evaluation of Daily Precipitation Extremes in Reanalysis and Gridded Observation‐Based Data Sets Over Germany

2020 ◽  
Vol 47 (18) ◽  
Author(s):  
Guannan Hu ◽  
Christian L. E. Franzke
Keyword(s):  
Daily Precipitation ◽  
Precipitation Extremes ◽  
Data Sets

scholarly journals Evaluation of daily precipitation statistics and monsoon onset/retreat over western Sahel in multiple data sets

2014 ◽  
Vol 45 (5-6) ◽  
pp. 1325-1354 ◽  
Author(s):  
Emilia Paula Diaconescu ◽  
Philippe Gachon ◽  
John Scinocca ◽  
René Laprise
Keyword(s):  
Daily Precipitation ◽  
Monsoon Onset ◽  
Data Sets ◽  
Multiple Data ◽  
Western Sahel ◽  
Multiple Data Sets

Changing intensity and seasonality of wet extremes over Europe 

2021 ◽  
Author(s):  
Amal John ◽  
Hervé Douville ◽  
Pascal Yiou
Keyword(s):  
Global Warming ◽  
Daily Precipitation ◽  
Surface Air Temperature ◽  
Value Theory ◽  
Precipitation Extremes ◽  
Annual Maximum ◽  
Physical Mechanisms ◽  
Model Distribution ◽  
Future Global Warming ◽  
Global Mean

<p>Daily precipitation extremes are projected to intensify with global warming. Here the focus is on how extreme precipitation scales with the changing global mean surface air temperature (GSAT) and how much their inherent seasonality will change, using historical and SSP5-8.5 scenario simulations from 18 CMIP6 models for different sub-domains over Europe. With strong future global warming, the annual maximum precipitation (RX1DAY) is found to occur later in the year, although this shift is model-dependent and hardly significant in the multi-model distribution. Using generalized extreme value theory also provides evidence for the intensification of wet extremes in the future. In addition, we use monthly model outputs to decompose changes in RX1DAY occurring at the peak of the extreme season into several contributions, which gives insights into the underlying physical mechanisms that control the response of precipitation extremes and their inter-model spread.</p>

scholarly journals A probabilistic gridded product for daily precipitation extremes over the United States

2019 ◽  
Vol 53 (5-6) ◽  
pp. 2517-2538 ◽  
Author(s):  
Mark D. Risser ◽  
Christopher J. Paciorek ◽  
Michael F. Wehner ◽  
Travis A. O’Brien ◽  
William D. Collins
Keyword(s):  
United States ◽  
Daily Precipitation ◽  
The United States ◽  
Precipitation Extremes

scholarly journals Downscaling Extreme Precipitation from CMIP5 Simulations Using Historical Analogs

2017 ◽  
Vol 56 (9) ◽  
pp. 2421-2439 ◽  
Author(s):  
Christopher M. Castellano ◽  
Arthur T. DeGaetano
Keyword(s):  
Return Period ◽  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Precipitation Extremes ◽  
Cmip5 Models ◽  
Composite Analysis ◽  
Analog Method ◽  
Precipitation Frequency ◽  
Weather Patterns ◽  
Synoptic Weather

AbstractAn approach for downscaling daily precipitation extremes using historical analogs is applied to simulations from phase 5 of the Coupled Model Intercomparison Project (CMIP5). The method employs a multistep procedure in which the occurrence of extreme precipitation on a given target day is determined on the basis of the probability of extreme precipitation on that day’s closest historical analogs. If extreme precipitation is expected, daily precipitation observations associated with the historical analogs are used to approximate precipitation amounts on the target day. By applying the analog method to historical simulations, the ability of the CMIP5 models to simulate synoptic weather patterns associated with extreme precipitation is assessed. Differences between downscaled and observed precipitation extremes are investigated by comparing the precipitation frequency distributions for a subset of rarely selected extreme analog days with those for all observed days with extreme precipitation. A supplemental composite analysis of the synoptic weather patterns on these rarely selected analog days is utilized to elucidate the meteorological factors that contribute to such discrepancies. Overall, the analog method as applied to CMIP5 simulations yields realistic estimates of historical precipitation extremes, with return-period precipitation biases that are comparable in magnitude to those obtained from dynamically downscaled simulations. The analysis of rarely selected analog days reveals that precipitation amounts on these days are generally larger than precipitation amounts on all days with extreme precipitation, leading to an underestimation of return-period precipitation amounts at many stations. Furthermore, the synoptic composite analysis reveals that tropical cyclones are a common feature on these rarely selected analog days.

Synoptic airflow and UK daily precipitation extremes

Extremes ◽  
2010 ◽  
Vol 13 (2) ◽  
pp. 133-153 ◽  
Author(s):  
Douglas Maraun ◽  
Henning W. Rust ◽  
Timothy J. Osborn
Keyword(s):  
Daily Precipitation ◽  
Precipitation Extremes ◽  
Synoptic Airflow
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