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Kenneth E. Kunkel
,
Thomas R. Karl
,
Harold Brooks
,
James Kossin
,
Jay H. Lawrimore
,
Derek Arndt
,
Lance Bosart
,
David Changnon
,
Susan L. Cutter
,
Nolan Doesken
,
Kerry Emanuel
,
Pavel Ya. Groisman
,
Richard W. Katz
,
Thomas Knutson
,
James O'Brien
,
Christopher J. Paciorek
,
Thomas C. Peterson
,
Kelly Redmond
,
David Robinson
,
Jeff Trapp
,
Russell Vose
,
Scott Weaver
,
Michael Wehner
,
Klaus Wolter
, and
Donald Wuebbles

The state of knowledge regarding trends and an understanding of their causes is presented for a specific subset of extreme weather and climate types. For severe convective storms (tornadoes, hailstorms, and severe thunderstorms), differences in time and space of practices of collecting reports of events make using the reporting database to detect trends extremely difficult. Overall, changes in the frequency of environments favorable for severe thunderstorms have not been statistically significant. For extreme precipitation, there is strong evidence for a nationally averaged upward trend in the frequency and intensity of events. The causes of the observed trends have not been determined with certainty, although there is evidence that increasing atmospheric water vapor may be one factor. For hurricanes and typhoons, robust detection of trends in Atlantic and western North Pacific tropical cyclone (TC) activity is significantly constrained by data heterogeneity and deficient quantification of internal variability. Attribution of past TC changes is further challenged by a lack of consensus on the physical link- ages between climate forcing and TC activity. As a result, attribution of trends to anthropogenic forcing remains controversial. For severe snowstorms and ice storms, the number of severe regional snowstorms that occurred since 1960 was more than twice that of the preceding 60 years. There are no significant multidecadal trends in the areal percentage of the contiguous United States impacted by extreme seasonal snowfall amounts since 1900. There is no distinguishable trend in the frequency of ice storms for the United States as a whole since 1950.

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David Gochis
,
Russ Schumacher
,
Katja Friedrich
,
Nolan Doesken
,
Matt Kelsch
,
Juanzhen Sun
,
Kyoko Ikeda
,
Daniel Lindsey
,
Andy Wood
,
Brenda Dolan
,
Sergey Matrosov
,
Andrew Newman
,
Kelly Mahoney
,
Steven Rutledge
,
Richard Johnson
,
Paul Kucera
,
Pat Kennedy
,
Daniel Sempere-Torres
,
Matthias Steiner
,
Rita Roberts
,
Jim Wilson
,
Wei Yu
,
V. Chandrasekar
,
Roy Rasmussen
,
Amanda Anderson
, and
Barbara Brown

Abstract

During the second week of September 2013, a seasonally uncharacteristic weather pattern stalled over the Rocky Mountain Front Range region of northern Colorado bringing with it copious amounts of moisture from the Gulf of Mexico, Caribbean Sea, and the tropical eastern Pacific Ocean. This feed of moisture was funneled toward the east-facing mountain slopes through a series of mesoscale circulation features, resulting in several days of unusually widespread heavy rainfall over steep mountainous terrain. Catastrophic flooding ensued within several Front Range river systems that washed away highways, destroyed towns, isolated communities, necessitated days of airborne evacuations, and resulted in eight fatalities. The impacts from heavy rainfall and flooding were felt over a broad region of northern Colorado leading to 18 counties being designated as federal disaster areas and resulting in damages exceeding $2 billion (U.S. dollars). This study explores the meteorological and hydrological ingredients that led to this extreme event. After providing a basic timeline of events, synoptic and mesoscale circulation features of the event are discussed. Particular focus is placed on documenting how circulation features, embedded within the larger synoptic flow, served to funnel moist inflow into the mountain front driving several days of sustained orographic precipitation. Operational and research networks of polarimetric radar and surface instrumentation were used to evaluate the cloud structures and dominant hydrometeor characteristics. The performance of several quantitative precipitation estimates, quantitative precipitation forecasts, and hydrological forecast products are also analyzed with the intention of identifying what monitoring and prediction tools worked and where further improvements are needed.

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