Changes in daily extreme temperature and precipitation events in mainland China from 1960 to 2016 under global warming

2020 ◽  
Author(s):  
Xuyang Wang ◽  
Yuqiang Li ◽  
Mingming Wang ◽  
Yulin Li ◽  
Xiangwen Gong ◽  
...  
Keyword(s):  
Global Warming ◽  
Mainland China ◽  
Extreme Temperature ◽  
Temperature And Precipitation ◽  
Precipitation Events

Changes in extreme temperature and precipitation events in the Loess Plateau (China) during 1960–2013 under global warming

2016 ◽  
Vol 168 ◽  
pp. 33-48 ◽  
Author(s):  
Wenyi Sun ◽  
Xingmin Mu ◽  
Xiaoyan Song ◽  
Dan Wu ◽  
Aifang Cheng ◽  
...  
Keyword(s):  
Global Warming ◽  
Loess Plateau ◽  
Extreme Temperature ◽  
The Loess Plateau ◽  
Temperature And Precipitation ◽  
Precipitation Events

scholarly journals Projected Seasonal Changes in Large-Scale Global Precipitation and Temperature Extremes Based on the CMIP5 Ensemble

2020 ◽  
Vol 33 (13) ◽  
pp. 5651-5671 ◽  
Author(s):  
Wang Zhan ◽  
Xiaogang He ◽  
Justin Sheffield ◽  
Eric F. Wood
Keyword(s):  
Extreme Events ◽  
Large Scale ◽  
Climate Models ◽  
Spatial Scales ◽  
Extreme Temperature ◽  
Economic Losses ◽  
Temperature And Precipitation ◽  
Extreme Precipitation Events ◽  
The Future ◽  
Precipitation Events

AbstractOver the past decades, significant changes in temperature and precipitation have been observed, including changes in the mean and extremes. It is critical to understand the trends in hydroclimatic extremes and how they may change in the future as they pose substantial threats to society through impacts on agricultural production, economic losses, and human casualties. In this study, we analyzed projected changes in the characteristics, including frequency, seasonal timing, and maximum spatial and temporal extent, as well as severity, of extreme temperature and precipitation events, using the severity–area–duration (SAD) method and based on a suite of 37 climate models archived in phase 5 of the Coupled Model Intercomparison Project (CMIP5). Comparison between the CMIP5 model estimated extreme events and an observation-based dataset [Princeton Global Forcing (PGF)] indicates that climate models have moderate success in reproducing historical statistics of extreme events. Results from the twenty-first-century projections suggest that, on top of the rapid warming indicated by a significant increase in mean temperature, there is an overall wetting trend in the Northern Hemisphere with increasing wet extremes and decreasing dry extremes, whereas the Southern Hemisphere will have more intense wet extremes. The timing of extreme precipitation events will change at different spatial scales, with the largest change occurring in southern Asia. The probability of concurrent dry/hot and wet/hot extremes is projected to increase under both RCP4.5 and RCP8.5 scenarios, whereas little change is detected in the probability of concurrent dry/cold events and only a slight decrease of the joint probability of wet/cold extremes is expected in the future.

scholarly journals Changes in the Risk of Extreme Climate Events over East Asia at Different Global Warming Levels

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2535
Author(s):  
Jintao Zhang ◽  
Fang Wang
Keyword(s):  
Global Warming ◽  
East Asia ◽  
Cost Benefit Analysis ◽  
Extreme Temperature ◽  
Coupled Model ◽  
Cost Benefit ◽  
Climate Extremes ◽  
Heavy Precipitation ◽  
Mitigation Measures ◽  
Temperature And Precipitation

Limiting the global temperature increase to a level that would prevent “dangerous anthropogenic interference with the climate system” is the focus of intergovernmental climate negotiations, and the cost-benefit analysis to determine this level requires an understanding of how the risk associated with climate extremes varies with different warming levels. We examine daily extreme temperature and precipitation variances with continuous global warming using a non-stationary extreme value statistical model based on the Coupled Model Intercomparison Project Phase 5 (CMIP5). Our results show the probability of extreme warm and heavy precipitation events over East Asia (EA) will increase, while that of cold extremes over EA will decrease as global warming increases. A present-day 1-in-20-year heavy precipitation extreme in EA is projected to increase to 1.3, 1.6, 2.5, and 3.4 times more frequently of the current climatology, at the global mean warming levels of 1.5 °C, 2 °C, 3 °C, and 4 °C above the preindustrial era, respectively. Moreover, the relative changes in probability are larger for rarer events. These results contribute to an improved understanding of the future risk associated with climate extremes, which helps scientists create mitigation measures for global warming and facilitates policy-making.

Simulated changes in extreme temperature and precipitation events at 6 ka

2006 ◽  
Vol 236 (1-2) ◽  
pp. 151-168 ◽  
Author(s):  
Noah S. Diffenbaugh ◽  
Jason L. Bell ◽  
Lisa C. Sloan
Keyword(s):  
Extreme Temperature ◽  
Temperature And Precipitation ◽  
Precipitation Events

scholarly journals Extreme temperature and precipitation events in March 2015 in central and northern Chile

2016 ◽  
Vol 121 (9) ◽  
pp. 4563-4580 ◽  
Author(s):  
Bradford S. Barrett ◽  
Diego A. Campos ◽  
José Vicencio Veloso ◽  
Roberto Rondanelli
Keyword(s):  
Extreme Temperature ◽  
Northern Chile ◽  
Temperature And Precipitation ◽  
Precipitation Events

scholarly journals Land surface model influence on the simulated climatologies of temperature and precipitation extremes in the WRF v3.9 model over North America

2020 ◽  
Vol 13 (11) ◽  
pp. 5345-5366
Author(s):  
Almudena García-García ◽  
Francisco José Cuesta-Valero ◽  
Hugo Beltrami ◽  
Fidel González-Rouco ◽  
Elena García-Bustamante ◽  
...  
Keyword(s):  
Land Surface ◽  
Climate Model ◽  
Regional Climate ◽  
Extreme Temperature ◽  
Wrf Model ◽  
Land Surface Model ◽  
Surface Model ◽  
Temperature And Precipitation ◽  
Model Ensembles ◽  
Precipitation Events

Abstract. The representation and projection of extreme temperature and precipitation events in regional and global climate models are of major importance for the study of climate change impacts. However, state-of-the-art global and regional climate model simulations yield a broad inter-model range of intensity, duration and frequency of these extremes. Here, we present a modeling experiment using the Weather Research and Forecasting (WRF) model to determine the influence of the land surface model (LSM) component on uncertainties associated with extreme events. First, we analyze land–atmosphere interactions within four simulations performed by the WRF model from 1980 to 2012 over North America, using three different LSMs. Results show LSM-dependent differences at regional scales in the frequency of occurrence of events when surface conditions are altered by atmospheric forcing or land processes. The inter-model range of extreme statistics across the WRF simulations is large, particularly for indices related to the intensity and duration of temperature and precipitation extremes. Our results show that the WRF simulation of the climatology of heat extremes can be 5 ∘C warmer and 6 d longer depending on the employed LSM component, and similarly for cold extremes and heavy precipitation events. Areas showing large uncertainty in WRF-simulated extreme events are also identified in a model ensemble from three different regional climate model (RCM) simulations participating in the Coordinated Regional Climate Downscaling Experiment (CORDEX) project, revealing the implications of these results for other model ensembles. Thus, studies based on multi-model ensembles and reanalyses should include a variety of LSM configurations to account for the uncertainty arising from this model component or to test the performance of the selected LSM component before running the whole simulation. This study illustrates the importance of the LSM choice in climate simulations, supporting the development of new modeling studies using different LSM components to understand inter-model differences in simulating extreme temperature and precipitation events, which in turn will help to reduce uncertainties in climate model projections.

Spatiotemporal Changes in Extreme Temperature and Precipitation Events in the Three-Rivers Headwater Region, China

2018 ◽  
Vol 123 (11) ◽  
pp. 5827-5844 ◽  
Author(s):  
Yang Xi ◽  
Chiyuan Miao ◽  
Jingwen Wu ◽  
Qingyun Duan ◽  
Xiaohui Lei ◽  
...  
Keyword(s):  
Extreme Temperature ◽  
Temperature And Precipitation ◽  
Spatiotemporal Changes ◽  
Three Rivers ◽  
Precipitation Events
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