On the decadal predictability of the frequency of flood events across the U.S. Midwest

Skillful predictions of the frequency of flood events over long lead times (e.g., from one to ten years ahead) are essential for governments and institutions making near‐term flood risk plans. However, little is known about current flood prediction capabilities over annual to decadal time scales. He...

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Bibliografski detalji
Glavni autori: Neri, A, Villarini, G, Salvi, K, Slater, L, Napolitano, F
Format: Journal article
Izdano: Wiley 2018
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author Neri, A
Villarini, G
Salvi, K
Slater, L
Napolitano, F
author_facet Neri, A
Villarini, G
Salvi, K
Slater, L
Napolitano, F
author_sort Neri, A
collection OXFORD
description Skillful predictions of the frequency of flood events over long lead times (e.g., from one to ten years ahead) are essential for governments and institutions making near‐term flood risk plans. However, little is known about current flood prediction capabilities over annual to decadal time scales. Here we address this knowledge gap at 286 U.S. Geological Survey gaging stations across the U.S. Midwest using precipitation and temperature decadal predictions from the Coupled Model Intercomparison Project (CMIP) phase 5 models. We use the 1‐ to 10‐year predictions of precipitation and temperature as inputs to statistical models that have significant skill in reproducing inter‐annual and decadal changes in the observed frequency of flood events. Our results indicate that the limited skill of basin‐averaged precipitation predictions suppresses the skill of flood event frequency predictions, even at the shortest lead time, but downscaling and bias correction improves predictions across all lead times and especially in spring.
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spelling oxford-uuid:5f9b8696-a67f-44c9-ba18-336b2d29b32c2022-03-26T17:48:02ZOn the decadal predictability of the frequency of flood events across the U.S. MidwestJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5f9b8696-a67f-44c9-ba18-336b2d29b32cSymplectic Elements at OxfordWiley2018Neri, AVillarini, GSalvi, KSlater, LNapolitano, FSkillful predictions of the frequency of flood events over long lead times (e.g., from one to ten years ahead) are essential for governments and institutions making near‐term flood risk plans. However, little is known about current flood prediction capabilities over annual to decadal time scales. Here we address this knowledge gap at 286 U.S. Geological Survey gaging stations across the U.S. Midwest using precipitation and temperature decadal predictions from the Coupled Model Intercomparison Project (CMIP) phase 5 models. We use the 1‐ to 10‐year predictions of precipitation and temperature as inputs to statistical models that have significant skill in reproducing inter‐annual and decadal changes in the observed frequency of flood events. Our results indicate that the limited skill of basin‐averaged precipitation predictions suppresses the skill of flood event frequency predictions, even at the shortest lead time, but downscaling and bias correction improves predictions across all lead times and especially in spring.
spellingShingle Neri, A
Villarini, G
Salvi, K
Slater, L
Napolitano, F
On the decadal predictability of the frequency of flood events across the U.S. Midwest
title On the decadal predictability of the frequency of flood events across the U.S. Midwest
title_full On the decadal predictability of the frequency of flood events across the U.S. Midwest
title_fullStr On the decadal predictability of the frequency of flood events across the U.S. Midwest
title_full_unstemmed On the decadal predictability of the frequency of flood events across the U.S. Midwest
title_short On the decadal predictability of the frequency of flood events across the U.S. Midwest
title_sort on the decadal predictability of the frequency of flood events across the u s midwest
work_keys_str_mv AT neria onthedecadalpredictabilityofthefrequencyoffloodeventsacrosstheusmidwest
AT villarinig onthedecadalpredictabilityofthefrequencyoffloodeventsacrosstheusmidwest
AT salvik onthedecadalpredictabilityofthefrequencyoffloodeventsacrosstheusmidwest
AT slaterl onthedecadalpredictabilityofthefrequencyoffloodeventsacrosstheusmidwest
AT napolitanof onthedecadalpredictabilityofthefrequencyoffloodeventsacrosstheusmidwest