Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic
Fire provides an impulsive and stochastic pathway for carbon from the terrestrial biosphere to enter the atmosphere. Despite fire emissions being of similar magnitude to net ecosystem exchange in many biomes, even the most complex dynamic vegetation models (DVMs) embedded in general circulation mode...
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ftdoajarticles:oai:doaj.org/article:db014cd27d014cd59b31d43842d8111b 2023-05-15T15:00:27+02:00 Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic E. P. Kantzas S. Quegan M. Lomas 2015-08-01T00:00:00Z https://doi.org/10.5194/gmd-8-2597-2015 https://doaj.org/article/db014cd27d014cd59b31d43842d8111b EN eng Copernicus Publications http://www.geosci-model-dev.net/8/2597/2015/gmd-8-2597-2015.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 1991-959X 1991-9603 doi:10.5194/gmd-8-2597-2015 https://doaj.org/article/db014cd27d014cd59b31d43842d8111b Geoscientific Model Development, Vol 8, Iss 8, Pp 2597-2609 (2015) Geology QE1-996.5 article 2015 ftdoajarticles https://doi.org/10.5194/gmd-8-2597-2015 2022-12-31T03:13:05Z Fire provides an impulsive and stochastic pathway for carbon from the terrestrial biosphere to enter the atmosphere. Despite fire emissions being of similar magnitude to net ecosystem exchange in many biomes, even the most complex dynamic vegetation models (DVMs) embedded in general circulation models contain poor representations of fire behaviour and dynamics, such as propagation and distribution of fire sizes. A model-independent methodology is developed which addresses this issue. Its focus is on the Arctic where fire is linked to permafrost dynamics and on occasion can release great amounts of carbon from carbon-rich organic soils. Connected-component labelling is used to identify individual fire events across Canada and Russia from daily, low-resolution burned area satellite products, and the obtained fire size probability distributions are validated against historical data. This allows the creation of a fire database holding information on area burned and temporal evolution of fires in space and time. A method of assimilating the statistical distribution of fire area into a DVM whilst maintaining its fire return interval is then described. The algorithm imposes a regional scale spatially dependent fire regime on a sub-scale spatially independent model; the fire regime is described by large-scale statistical distributions of fire intensity and spatial extent, and the temporal dynamics (fire return intervals) are determined locally. This permits DVMs to estimate many aspects of post-fire dynamics that cannot occur under their current representations of fire, as is illustrated by considering the modelled evolution of land cover, biomass and net ecosystem exchange after a fire. Article in Journal/Newspaper Arctic permafrost Directory of Open Access Journals: DOAJ Articles Arctic Canada Geoscientific Model Development 8 8 2597 2609 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 E. P. Kantzas S. Quegan M. Lomas Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic |
topic_facet |
Geology QE1-996.5 |
description |
Fire provides an impulsive and stochastic pathway for carbon from the terrestrial biosphere to enter the atmosphere. Despite fire emissions being of similar magnitude to net ecosystem exchange in many biomes, even the most complex dynamic vegetation models (DVMs) embedded in general circulation models contain poor representations of fire behaviour and dynamics, such as propagation and distribution of fire sizes. A model-independent methodology is developed which addresses this issue. Its focus is on the Arctic where fire is linked to permafrost dynamics and on occasion can release great amounts of carbon from carbon-rich organic soils. Connected-component labelling is used to identify individual fire events across Canada and Russia from daily, low-resolution burned area satellite products, and the obtained fire size probability distributions are validated against historical data. This allows the creation of a fire database holding information on area burned and temporal evolution of fires in space and time. A method of assimilating the statistical distribution of fire area into a DVM whilst maintaining its fire return interval is then described. The algorithm imposes a regional scale spatially dependent fire regime on a sub-scale spatially independent model; the fire regime is described by large-scale statistical distributions of fire intensity and spatial extent, and the temporal dynamics (fire return intervals) are determined locally. This permits DVMs to estimate many aspects of post-fire dynamics that cannot occur under their current representations of fire, as is illustrated by considering the modelled evolution of land cover, biomass and net ecosystem exchange after a fire. |
format |
Article in Journal/Newspaper |
author |
E. P. Kantzas S. Quegan M. Lomas |
author_facet |
E. P. Kantzas S. Quegan M. Lomas |
author_sort |
E. P. Kantzas |
title |
Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic |
title_short |
Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic |
title_full |
Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic |
title_fullStr |
Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic |
title_full_unstemmed |
Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic |
title_sort |
improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the arctic |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/gmd-8-2597-2015 https://doaj.org/article/db014cd27d014cd59b31d43842d8111b |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_source |
Geoscientific Model Development, Vol 8, Iss 8, Pp 2597-2609 (2015) |
op_relation |
http://www.geosci-model-dev.net/8/2597/2015/gmd-8-2597-2015.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 1991-959X 1991-9603 doi:10.5194/gmd-8-2597-2015 https://doaj.org/article/db014cd27d014cd59b31d43842d8111b |
op_doi |
https://doi.org/10.5194/gmd-8-2597-2015 |
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Geoscientific Model Development |
container_volume |
8 |
container_issue |
8 |
container_start_page |
2597 |
op_container_end_page |
2609 |
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