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ERA5-based global meteorological wildfire danger maps
Forest fires are an integral part of the natural Earth system dynamics, however they are becoming more devastating and less predictable as anthropogenic climate change exacerbates their impacts. In order to advance fire science, fire danger reanalysis products can be used as proxy for fire weather o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341852/ https://www.ncbi.nlm.nih.gov/pubmed/32636392 http://dx.doi.org/10.1038/s41597-020-0554-z |
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author | Vitolo, Claudia Di Giuseppe, Francesca Barnard, Christopher Coughlan, Ruth San-Miguel-Ayanz, Jesus Libertá, Giorgio Krzeminski, Blazej |
author_facet | Vitolo, Claudia Di Giuseppe, Francesca Barnard, Christopher Coughlan, Ruth San-Miguel-Ayanz, Jesus Libertá, Giorgio Krzeminski, Blazej |
author_sort | Vitolo, Claudia |
collection | PubMed |
description | Forest fires are an integral part of the natural Earth system dynamics, however they are becoming more devastating and less predictable as anthropogenic climate change exacerbates their impacts. In order to advance fire science, fire danger reanalysis products can be used as proxy for fire weather observations with the advantage of being homogeneously distributed both in space and time. This manuscript describes a reanalysis dataset of fire danger indices based on the Canadian Fire Weather Index system and the ECMWF ERA5 reanalysis dataset, which supersedes the previous dataset based on ERA-Interim. The new fire danger reanalysis dataset provides a number of benefits compared to the one based on ERA-Interim: it relies on better estimates of precipitation, evaporation and soil moisture, it is available in a deterministic form as well as a probabilistic ensemble and it is characterised by a considerably higher spatial resolution. It is a valuable resource for forestry agencies and scientists in the field of wildfire danger modeling and beyond. The global dataset is produced by ECMWF, as the computational centre of the European Forest Fire information System (EFFIS) of the Copernicus Emergency Management Service, and it is made available free of charge through the Climate Data Store. |
format | Online Article Text |
id | pubmed-7341852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73418522020-07-09 ERA5-based global meteorological wildfire danger maps Vitolo, Claudia Di Giuseppe, Francesca Barnard, Christopher Coughlan, Ruth San-Miguel-Ayanz, Jesus Libertá, Giorgio Krzeminski, Blazej Sci Data Data Descriptor Forest fires are an integral part of the natural Earth system dynamics, however they are becoming more devastating and less predictable as anthropogenic climate change exacerbates their impacts. In order to advance fire science, fire danger reanalysis products can be used as proxy for fire weather observations with the advantage of being homogeneously distributed both in space and time. This manuscript describes a reanalysis dataset of fire danger indices based on the Canadian Fire Weather Index system and the ECMWF ERA5 reanalysis dataset, which supersedes the previous dataset based on ERA-Interim. The new fire danger reanalysis dataset provides a number of benefits compared to the one based on ERA-Interim: it relies on better estimates of precipitation, evaporation and soil moisture, it is available in a deterministic form as well as a probabilistic ensemble and it is characterised by a considerably higher spatial resolution. It is a valuable resource for forestry agencies and scientists in the field of wildfire danger modeling and beyond. The global dataset is produced by ECMWF, as the computational centre of the European Forest Fire information System (EFFIS) of the Copernicus Emergency Management Service, and it is made available free of charge through the Climate Data Store. Nature Publishing Group UK 2020-07-07 /pmc/articles/PMC7341852/ /pubmed/32636392 http://dx.doi.org/10.1038/s41597-020-0554-z Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Vitolo, Claudia Di Giuseppe, Francesca Barnard, Christopher Coughlan, Ruth San-Miguel-Ayanz, Jesus Libertá, Giorgio Krzeminski, Blazej ERA5-based global meteorological wildfire danger maps |
title | ERA5-based global meteorological wildfire danger maps |
title_full | ERA5-based global meteorological wildfire danger maps |
title_fullStr | ERA5-based global meteorological wildfire danger maps |
title_full_unstemmed | ERA5-based global meteorological wildfire danger maps |
title_short | ERA5-based global meteorological wildfire danger maps |
title_sort | era5-based global meteorological wildfire danger maps |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341852/ https://www.ncbi.nlm.nih.gov/pubmed/32636392 http://dx.doi.org/10.1038/s41597-020-0554-z |
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