Preconditions for extreme wet winters over the contiguous United States
We identify physical factors leading to extreme wet winters over the contiguous U.S. and examine whether preconditions operated during winter 2019 (December 2018 to February 2019) when record precipitation occurred that led to billion-dollar flood disasters along the Missouri and Mississippi Rivers....
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2021-09-01
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doaj-95f4939278ca42059017492298c021e62021-08-26T04:33:42ZengElsevierWeather and Climate Extremes2212-09472021-09-0133100333Preconditions for extreme wet winters over the contiguous United StatesAndrew Hoell0Martin Hoerling1Jon Eischeid2Joseph Barsugli3NOAA Physical Sciences Laboratory, Boulder, CO, USA; Corresponding author. NOAA Physical Sciences Laboratory, 325 Broadway, Boulder, CO, USA.NOAA Physical Sciences Laboratory, Boulder, CO, USANOAA Physical Sciences Laboratory, Boulder, CO, USA; Cooperative Institute for Research in the Environmental Sciences, University of Colorado Boulder, Boulder, CO, USANOAA Physical Sciences Laboratory, Boulder, CO, USA; Cooperative Institute for Research in the Environmental Sciences, University of Colorado Boulder, Boulder, CO, USAWe identify physical factors leading to extreme wet winters over the contiguous U.S. and examine whether preconditions operated during winter 2019 (December 2018 to February 2019) when record precipitation occurred that led to billion-dollar flood disasters along the Missouri and Mississippi Rivers. Models and observations are used to determine the effect of slow-varying forcing that may lead to practical forecast skill for extreme wet winters. Atmospheric models indicate that sea surface temperatures during strong eastern Pacific El Niño events like 1983 and 1998 can drive extreme wet winters over the contiguous U.S. These strong El Niños shift the distribution of contiguous U.S. precipitation to wetter conditions with a mean wetting of 1.5–2.0 standard deviations of the interannual variability. The shift to wetter conditions leads to a fivefold increase in the probability of wet winters of the magnitude observed in 2019. On longer timescales, observations indicate contiguous U.S. winter precipitation has increased over the last century. Analysis of historical coupled model simulations indicate anthropogenically-forced shifts to wetter conditions over the last century of 0.2–0.4 standard deviations of the interannual variability. While increasing the risk of extreme wet winters like 2019, this effect is a limited source of predictability during any particular winter. Concerning 2019 specifically, preconditioning factors of the risk for extreme contiguous U.S. winter wetness were weak or absent and offered little practical early warning. The ongoing central Pacific El Niño that winter did not significantly alter the risk of the wetness, and thus the extreme 2019 conditions are judged not to have been a seasonal forecast of opportunity.http://www.sciencedirect.com/science/article/pii/S2212094721000311FloodingExtreme precipitationLong-term changeEl NiñoPredictabilityInitialized forecasts |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andrew Hoell Martin Hoerling Jon Eischeid Joseph Barsugli |
spellingShingle |
Andrew Hoell Martin Hoerling Jon Eischeid Joseph Barsugli Preconditions for extreme wet winters over the contiguous United States Weather and Climate Extremes Flooding Extreme precipitation Long-term change El Niño Predictability Initialized forecasts |
author_facet |
Andrew Hoell Martin Hoerling Jon Eischeid Joseph Barsugli |
author_sort |
Andrew Hoell |
title |
Preconditions for extreme wet winters over the contiguous United States |
title_short |
Preconditions for extreme wet winters over the contiguous United States |
title_full |
Preconditions for extreme wet winters over the contiguous United States |
title_fullStr |
Preconditions for extreme wet winters over the contiguous United States |
title_full_unstemmed |
Preconditions for extreme wet winters over the contiguous United States |
title_sort |
preconditions for extreme wet winters over the contiguous united states |
publisher |
Elsevier |
series |
Weather and Climate Extremes |
issn |
2212-0947 |
publishDate |
2021-09-01 |
description |
We identify physical factors leading to extreme wet winters over the contiguous U.S. and examine whether preconditions operated during winter 2019 (December 2018 to February 2019) when record precipitation occurred that led to billion-dollar flood disasters along the Missouri and Mississippi Rivers. Models and observations are used to determine the effect of slow-varying forcing that may lead to practical forecast skill for extreme wet winters. Atmospheric models indicate that sea surface temperatures during strong eastern Pacific El Niño events like 1983 and 1998 can drive extreme wet winters over the contiguous U.S. These strong El Niños shift the distribution of contiguous U.S. precipitation to wetter conditions with a mean wetting of 1.5–2.0 standard deviations of the interannual variability. The shift to wetter conditions leads to a fivefold increase in the probability of wet winters of the magnitude observed in 2019. On longer timescales, observations indicate contiguous U.S. winter precipitation has increased over the last century. Analysis of historical coupled model simulations indicate anthropogenically-forced shifts to wetter conditions over the last century of 0.2–0.4 standard deviations of the interannual variability. While increasing the risk of extreme wet winters like 2019, this effect is a limited source of predictability during any particular winter. Concerning 2019 specifically, preconditioning factors of the risk for extreme contiguous U.S. winter wetness were weak or absent and offered little practical early warning. The ongoing central Pacific El Niño that winter did not significantly alter the risk of the wetness, and thus the extreme 2019 conditions are judged not to have been a seasonal forecast of opportunity. |
topic |
Flooding Extreme precipitation Long-term change El Niño Predictability Initialized forecasts |
url |
http://www.sciencedirect.com/science/article/pii/S2212094721000311 |
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