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Multi-year predictability of climate, drought, and wildfire in southwestern North America
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 ant...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529505/ https://www.ncbi.nlm.nih.gov/pubmed/28747719 http://dx.doi.org/10.1038/s41598-017-06869-7 |
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author | Chikamoto, Yoshimitsu Timmermann, Axel Widlansky, Matthew J. Balmaseda, Magdalena A. Stott, Lowell |
author_facet | Chikamoto, Yoshimitsu Timmermann, Axel Widlansky, Matthew J. Balmaseda, Magdalena A. Stott, Lowell |
author_sort | Chikamoto, Yoshimitsu |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-5529505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55295052017-08-02 Multi-year predictability of climate, drought, and wildfire in southwestern North America Chikamoto, Yoshimitsu Timmermann, Axel Widlansky, Matthew J. Balmaseda, Magdalena A. Stott, Lowell Sci Rep Article 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. Nature Publishing Group UK 2017-07-26 /pmc/articles/PMC5529505/ /pubmed/28747719 http://dx.doi.org/10.1038/s41598-017-06869-7 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chikamoto, Yoshimitsu Timmermann, Axel Widlansky, Matthew J. Balmaseda, Magdalena A. Stott, Lowell Multi-year predictability of climate, drought, and wildfire in southwestern North America |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529505/ https://www.ncbi.nlm.nih.gov/pubmed/28747719 http://dx.doi.org/10.1038/s41598-017-06869-7 |
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