Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 1175-1197, 2017
https://doi.org/10.5194/gmd-10-1175-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Model experiment description paper
17 Mar 2017
The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions
Sam S. Rabin1,2, Joe R. Melton3, Gitta Lasslop4, Dominique Bachelet5,6, Matthew Forrest7, Stijn Hantson2, Jed O. Kaplan8, Fang Li9, Stéphane Mangeon10, Daniel S. Ward11, Chao Yue12, Vivek K. Arora13, Thomas Hickler7,14, Silvia Kloster4, Wolfgang Knorr15, Lars Nieradzik16,17, Allan Spessa18, Gerd A. Folberth19, Tim Sheehan6, Apostolos Voulgarakis10, Douglas I. Kelley20, I. Colin Prentice21,22, Stephen Sitch23, Sandy Harrison24, and Almut Arneth2 1Dept. of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, USA
2Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research/Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
3Climate Research Division, Environment and Climate Change Canada, Victoria, BC, V8W 2Y2, Canada
4Land in the Earth System, Max Planck Institute for Meteorology, Bundesstrasse 53, 20146 Hamburg, Germany
5Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97331, USA
6Conservation Biology Institute, 136 SW Washington Ave., Suite 202, Corvallis, OR 97333, USA
7Senckenberg Biodiversity and Climate Research Institute (BiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany
8Institute of Earth Surface Dynamics, University of Lausanne, 4414 Géopolis Building, 1015 Lausanne, Switzerland
9International Center for Climate and Environmental Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
10Department of Physics, Imperial College London, London, UK
11Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA
12Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91198 Gif-sur-Yvette, France
13Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada, Victoria, BC, V8W 2Y2, Canada
14Department of Physical Geography, Goethe-University, Altenhöferallee 1, 60438 Frankfurt am Main, Germany
15Department of Physical Geography and Ecosystem Science, Lund University, 22362 Lund, Sweden
16Centre for Environmental and Climate Research, Lund University, 22362 Lund, Sweden
17CSIRO Oceans and Atmosphere, P.O. Box 3023, Canberra, ACT 2601, Australia
18School of Environment, Earth and Ecosystem Sciences, Open University, Milton Keynes, UK
19UK Met Office Hadley Centre, Exeter, UK
20Centre for Ecology and Hydrology, Maclean building, Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
21School of Biological Sciences, Macquarie University, North Ryde, NSW 2109, Australia
22AXA Chair of Biosphere and Climate Impacts, Grand Challenges in Ecosystem and the Environment, Department of Life Sciences and Grantham Institute – Climate Change and the Environment, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY, UK
23College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UK
24School of Archaeology, Geography and Environmental Sciences (SAGES), University of Reading, Reading, UK
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 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.

Citation: Rabin, S. S., Melton, J. R., Lasslop, G., Bachelet, D., Forrest, M., Hantson, S., Kaplan, J. O., Li, F., Mangeon, S., Ward, D. S., Yue, C., Arora, V. K., Hickler, T., Kloster, S., Knorr, W., Nieradzik, L., Spessa, A., Folberth, G. A., Sheehan, T., Voulgarakis, A., Kelley, D. I., Prentice, I. C., Sitch, S., Harrison, S., and Arneth, A.: The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions, Geosci. Model Dev., 10, 1175-1197, https://doi.org/10.5194/gmd-10-1175-2017, 2017.
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Short summary
Global vegetation models are important tools for understanding how the Earth system will change in the future, and fire is a critical process to include. A number of different methods have been developed to represent vegetation burning. This paper describes the protocol for the first systematic comparison of global fire models, which will allow the community to explore various drivers and evaluate what mechanisms are important for improving performance. It also includes equations for all models.
Global vegetation models are important tools for understanding how the Earth system will change...
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