Monitoring and understanding trends in extreme storms: State of knowledge

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 TrappRussell Vose, Scott Weaver, Michael Wehner, Klaus Wolter, Donald Wuebbles

Research output: Contribution to journalArticlepeer-review

398 Scopus citations

Abstract

Review of the climate science for severe convective storms, extreme precipitation, hurricanes and typhoons, and severe snowstorms and ice storms in the US shows that the ability to detect and attribute trends varies, depending on the phenomenon. A specific subset of extreme weather and climate types affecting the country is discussed to examine these extreme weather conditions. The categories of storms described were selected as they caused property damage and loss of life. The identification of an extreme occurrence was based on meteorological properties in place of the destructiveness. The primary purpose was to examine the scientific evidence for the prevailing capability to detect trends and understand their causes for certain weather types, including severe convective storms and hurricanes and typhoons.

Original languageEnglish (US)
Pages (from-to)499-514
Number of pages16
JournalBulletin of the American Meteorological Society
Volume94
Issue number4
DOIs
StatePublished - Apr 2013

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Fingerprint

Dive into the research topics of 'Monitoring and understanding trends in extreme storms: State of knowledge'. Together they form a unique fingerprint.

Cite this