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

  • Sam S. Rabin
  • , Joe R. Melton
  • , Gitta Lasslop
  • , Dominique Bachelet
  • , Matthew Forrest
  • , Stijn Hantson
  • , Fang Li
  • , Stéphane Mangeon
  • , Chao Yue
  • , Vivek K. Arora
  • , Thomas Hickler
  • , Silvia Kloster
  • , Wolfgang Knorr
  • , Lars Nieradzik
  • , Allan Spessa
  • , Gerd A. Folberth
  • , Tim Sheehan
  • , Apostolos Voulgarakis
  • , I. Colin Prentice
  • , Stephen Sitch
  • Jed O. Kaplan, Sandy Harrison, Almut Arneth
  • Princeton University
  • Karlsruhe Institute of Technology
  • Université Laval and Environment and Climate Change Canada
  • Max Planck Institute for Meteorology
  • Oregon State University
  • Conservation Biology Institute, Oregon
  • Senckenberg Leibniz Biodiversity and Climate Research Centre (SBiK-F)
  • CAS - Institute of Atmospheric Physics
  • Imperial College London
  • Université Versailles St-Quentin
  • Goethe University Frankfurt
  • Lund University
  • CSIRO
  • Open University Milton Keynes
  • Met Office
  • Macquarie University
  • University of Exeter
  • University of Lausanne
  • University of Reading

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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 two 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. Here 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. The works published in this journal are distributed under the Creative Commons Attribution 3.0 License. This license does not affect the Crown copyright work, which is re-usable under the Open Government Licence (OGL). The Creative Commons Attribution 3.0 License and the OGL are interoperable and do not conflict with, reduce, or limit each other.

Original languageEnglish
JournalGeoscientific Model Development
Volume9
Issue number237
DOIs
StatePublished - 2016
Externally publishedYes

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