EXPLAINING EXTREME EVENTS OF 2014 FROM A CLIMATE PERSPECTIVE

被引:93
|
作者
Herring, Stephanie C. [1 ]
Hoerling, Martin P. [2 ]
Kossin, James P. [3 ]
Peterson, Thomas C. [4 ]
Stott, Peter A. [5 ]
机构
[1] NOAA, Natl Ctr Environm Informat, Boulder, CO 80305 USA
[2] NOAA, Earth Syst Res Lab, Boulder, CO USA
[3] NOAA, Natl Ctr Environm Informat, Madison, WI USA
[4] NOAA, Natl Ctr Environm Informat, Asheville, NC USA
[5] Met Off Hadley Ctr, Exeter, Devon, England
关键词
D O I
10.1175/BAMS-EEE_2014_ch1.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Understanding how long-term global change affects the intensity and likelihood of extreme weather events is a frontier science challenge. This fourth edition of explaining extreme events of the previous year (2014) from a climate perspective is the most extensive yet with 33 different research groups exploring the causes of 29 different events that occurred in 2014. A number of this year's studies indicate that human-caused climate change greatly increased the likelihood and intensity for extreme heat waves in 2014 over various regions. For other types of extreme events, such as droughts, heavy rains, and winter storms, a climate change influence was found in some instances and not in others. This year's report also included many different types of extreme events. The tropical cyclones that impacted Hawaii were made more likely due to human-caused climate change. Climate change also decreased the Antarctic sea ice extent in 2014 and increased the strength and likelihood of high sea surface temperatures in both the Atlantic and Pacific Oceans. For western U.S. wildfires, no link to the individual events in 2014 could be detected, but the overall probability of western U.S. wildfires has increased due to human impacts on the climate. Challenges that attribution assessments face include the often limited observational record and inability of models to reproduce some extreme events well. In general, when attribution assessments fail to find anthropogenic signals this alone does not prove anthropogenic climate change did not influence the event. The failure to find a human fingerprint could be due to insufficient data or poor models and not the absence of anthropogenic effects. This year researchers also considered other human-caused drivers of extreme events beyond the usual radiative drivers. For example, flooding in the Canadian prairies was found to be more likely because of human land-use changes that affect drainage mechanisms. Similarly, the Jakarta floods may have been compounded by land-use change via urban development and associated land subsidence. These types of mechanical factors re-emphasize the various pathways beyond climate change by which human activity can increase regional risk of extreme events.
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页码:S1 / S4
页数:11
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