Multi-year predictability of climate, drought, and wildfire in southwestern North America

Abstract Past severe droughts over North America have led to massive water shortages and increases in wildfire frequency. Triggering sources for multi-year droughts in this region include randomly occurring atmospheric blocking patterns, ocean impacts on atmospheric circulation, and climate’s respon...

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Autores principales: Yoshimitsu Chikamoto, Axel Timmermann, Matthew J. Widlansky, Magdalena A. Balmaseda, Lowell Stott
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/008d91a340a44611b64c07333df87124
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spelling oai:doaj.org-article:008d91a340a44611b64c07333df871242021-12-02T16:06:30ZMulti-year predictability of climate, drought, and wildfire in southwestern North America10.1038/s41598-017-06869-72045-2322https://doaj.org/article/008d91a340a44611b64c07333df871242017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06869-7https://doaj.org/toc/2045-2322Abstract Past severe droughts over North America have led to massive water shortages and increases in wildfire frequency. Triggering sources for multi-year droughts in this region include randomly occurring atmospheric blocking patterns, ocean impacts on atmospheric circulation, and climate’s response to anthropogenic radiative forcings. A combination of these sources translates into a difficulty to predict the onset and length of such droughts on multi-year timescales. Here we present results from a new multi-year dynamical prediction system that exhibits a high degree of skill in forecasting wildfire probabilities and drought for 10–23 and 10–45 months lead time, which extends far beyond the current seasonal prediction activities for southwestern North America. Using a state-of-the-art earth system model along with 3-dimensional ocean data assimilation and by prescribing the external radiative forcings, this system simulates the observed low-frequency variability of precipitation, soil water, and wildfire probabilities in close agreement with observational records and reanalysis data. The underlying source of multi-year predictability can be traced back to variations of the Atlantic/Pacific sea surface temperature gradient, external radiative forcings, and the low-pass filtering characteristics of soils.Yoshimitsu ChikamotoAxel TimmermannMatthew J. WidlanskyMagdalena A. BalmasedaLowell StottNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yoshimitsu Chikamoto
Axel Timmermann
Matthew J. Widlansky
Magdalena A. Balmaseda
Lowell Stott
Multi-year predictability of climate, drought, and wildfire in southwestern North America
description Abstract Past severe droughts over North America have led to massive water shortages and increases in wildfire frequency. Triggering sources for multi-year droughts in this region include randomly occurring atmospheric blocking patterns, ocean impacts on atmospheric circulation, and climate’s response to anthropogenic radiative forcings. A combination of these sources translates into a difficulty to predict the onset and length of such droughts on multi-year timescales. Here we present results from a new multi-year dynamical prediction system that exhibits a high degree of skill in forecasting wildfire probabilities and drought for 10–23 and 10–45 months lead time, which extends far beyond the current seasonal prediction activities for southwestern North America. Using a state-of-the-art earth system model along with 3-dimensional ocean data assimilation and by prescribing the external radiative forcings, this system simulates the observed low-frequency variability of precipitation, soil water, and wildfire probabilities in close agreement with observational records and reanalysis data. The underlying source of multi-year predictability can be traced back to variations of the Atlantic/Pacific sea surface temperature gradient, external radiative forcings, and the low-pass filtering characteristics of soils.
format article
author Yoshimitsu Chikamoto
Axel Timmermann
Matthew J. Widlansky
Magdalena A. Balmaseda
Lowell Stott
author_facet Yoshimitsu Chikamoto
Axel Timmermann
Matthew J. Widlansky
Magdalena A. Balmaseda
Lowell Stott
author_sort Yoshimitsu Chikamoto
title Multi-year predictability of climate, drought, and wildfire in southwestern North America
title_short Multi-year predictability of climate, drought, and wildfire in southwestern North America
title_full Multi-year predictability of climate, drought, and wildfire in southwestern North America
title_fullStr Multi-year predictability of climate, drought, and wildfire in southwestern North America
title_full_unstemmed Multi-year predictability of climate, drought, and wildfire in southwestern North America
title_sort multi-year predictability of climate, drought, and wildfire in southwestern north america
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/008d91a340a44611b64c07333df87124
work_keys_str_mv AT yoshimitsuchikamoto multiyearpredictabilityofclimatedroughtandwildfireinsouthwesternnorthamerica
AT axeltimmermann multiyearpredictabilityofclimatedroughtandwildfireinsouthwesternnorthamerica
AT matthewjwidlansky multiyearpredictabilityofclimatedroughtandwildfireinsouthwesternnorthamerica
AT magdalenaabalmaseda multiyearpredictabilityofclimatedroughtandwildfireinsouthwesternnorthamerica
AT lowellstott multiyearpredictabilityofclimatedroughtandwildfireinsouthwesternnorthamerica
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