The Fire Modeling Intercomparison Project (FireMIP), phase 1 : Experimental and analytical protocols with detailed model descriptions

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Fältnamn	Indikatorer	Metadata
000		05172naa a2200601 4500
001		oai:lup.lub.lu.se:e4cc1e3d-4af8-4ecd-ab21-6d240a797bae
003		SwePub
008		170405s2017 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://lup.lub.lu.se/record/e4cc1e3d-4af8-4ecd-ab21-6d240a797bae2 URI
024	7	a https://doi.org/10.5194/gmd-10-1175-20172 DOI
040		a (SwePub)lu
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Rabin, Sam S.u Karlsruhe Institute of Technology,Princeton University4 aut
245	1 0	a The Fire Modeling Intercomparison Project (FireMIP), phase 1 : Experimental and analytical protocols with detailed model descriptions
264		c 2017-03-17
264	1	b Copernicus GmbH,c 2017
300		a 23 s.
520		a The important role of fire in regulating vegetation community composition and contributions to emissions of greenhouse gases and aerosols make it a critical component of dynamic global vegetation models and Earth system models. Over 2 decades of development, a wide variety of model structures and mechanisms have been designed and incorporated into global fire models, which have been linked to different vegetation models. However, there has not yet been a systematic examination of how these different strategies contribute to model performance. Here we describe the structure of the first phase of the Fire Model Intercomparison Project (FireMIP), which for the first time seeks to systematically compare a number of models. By combining a standardized set of input data and model experiments with a rigorous comparison of model outputs to each other and to observations, we will improve the understanding of what drives vegetation fire, how it can best be simulated, and what new or improved observational data could allow better constraints on model behavior. In this paper, we introduce the fire models used in the first phase of FireMIP, the simulation protocols applied, and the benchmarking system used to evaluate the models. We have also created supplementary tables that describe, in thorough mathematical detail, the structure of each model.
650	7	a NATURVETENSKAPx Geovetenskap och miljövetenskapx Multidisciplinär geovetenskap0 (SwePub)105032 hsv//swe
650	7	a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Geosciences, Multidisciplinary0 (SwePub)105032 hsv//eng
700	1	a Melton, Joe R.u Environment Canada4 aut
700	1	a Lasslop, Gittau Max Planck Institute for Meteorology4 aut
700	1	a Bachelet, Dominiqueu Oregon State University,Smithsonian Conservation Biology Institute4 aut
700	1	a Forrest, Matthewu Senckenberg Biodiversity and Climate Research Centre4 aut
700	1	a Hantson, Stijnu Karlsruhe Institute of Technology4 aut
700	1	a Kaplan, Jed O.u University of Lausanne4 aut0 (Swepub:lu)extLU-697
700	1	a Li, Jian-Fangu Institute of Atmospheric Physics, Chinese Academy of Sciences4 aut
700	1	a Mangeon, Stéphaneu Imperial College London4 aut
700	1	a Ward, Daniel S.u Princeton University4 aut
700	1	a Yue, Chaou University of Paris-Saclay4 aut
700	1	a Arora, Vivek K.u Environment Canada4 aut
700	1	a Hickler, Thomasu Senckenberg Biodiversity and Climate Research Centre,Goethe University4 aut0 (Swepub:lu)ple-thi
700	1	a Kloster, Silviau Max Planck Institute for Meteorology4 aut
700	1	a Knorr, Wolfgangu Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science4 aut0 (Swepub:lu)wo1205kn
700	1	a Nieradzik, Larsu Lund University,Lunds universitet,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Centre for Environmental and Climate Science (CEC),Faculty of Science,CSIRO Oceans and Atmosphere, Canberra4 aut0 (Swepub:lu)nate-lni
700	1	a Spessa, Allanu Open University4 aut
700	1	a Folberth, Gerd A.u Met Office Hadley Centre for Climate Change4 aut
700	1	a Sheehan, Timu Smithsonian Conservation Biology Institute4 aut
700	1	a Voulgarakis, Apostolosu Imperial College London4 aut
700	1	a Kelley, Douglas I.u Centre for Ecology & Hydrology, Wallingford4 aut
700	1	a Colin Prentice, I.u Imperial College London,Macquarie University, Sydney4 aut
700	1	a Sitch, Stephenu University of Exeter4 aut0 (Swepub:lu)extLU-837
700	1	a Harrison, Sandyu University of Reading4 aut
700	1	a Arneth, Almutu Karlsruhe Institute of Technology4 aut0 (Swepub:lu)nate-aar
710	2	a Karlsruhe Institute of Technologyb Princeton University4 org
773	0	t Geoscientific Model Developmentd : Copernicus GmbHg 10:3, s. 1175-1197q 10:3<1175-1197x 1991-959Xx 1991-9603
856	4	u http://dx.doi.org/10.5194/gmd-10-1175-2017x freey FULLTEXT
856	4	u https://www.geosci-model-dev.net/10/1175/2017/gmd-10-1175-2017.pdf
856	4 8	u https://lup.lub.lu.se/record/e4cc1e3d-4af8-4ecd-ab21-6d240a797bae
856	4 8	u https://doi.org/10.5194/gmd-10-1175-2017

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