Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2493-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-2493-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
03 Apr 2024
Methods for assessment of models |
| 03 Apr 2024
| 03 Apr 2024
DCMIP2016: the tropical cyclone test case
Justin L. Willson
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA
Christiane Jablonowski
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
James Kent
School of Computing and Mathematics, University of South Wales, Pontypridd, Wales, UK
now at: Met Office, Exeter, UK
Peter H. Lauritzen
National Center for Atmospheric Research, Boulder, CO, USA
Ramachandran Nair
National Center for Atmospheric Research, Boulder, CO, USA
Mark A. Taylor
Sandia National Laboratories, Albuquerque, NM, USA
Paul A. Ullrich
Department of Land, Air and Water Resources, University of California, Davis, Davis, CA, USA
Colin M. Zarzycki
Department of Meteorology and Atmospheric Science, Penn State University, University Park, PA, USA
David M. Hall
Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA
NVIDIA Corporation, Santa Clara, CA, USA
Don Dazlich
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Ross Heikes
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Celal Konor
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
David Randall
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Thomas Dubos
IPSL/Lab. de Météorologie Dynamique, École Polytechnique, Palaiseau, France
Yann Meurdesoif
IPSL/Lab. de Météorologie Dynamique, École Polytechnique, Palaiseau, France
Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration, Princeton, NJ, USA
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Lucas Harris
Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration, Princeton, NJ, USA
Christian Kühnlein
European Centre for Medium-Range Weather Forecasts (ECMWF), Bonn, Germany
Vivian Lee
Environment and Climate Change Canada (ECCC), Dorval, Quebec, Canada
Abdessamad Qaddouri
Environment and Climate Change Canada (ECCC), Dorval, Quebec, Canada
Claude Girard
Environment and Climate Change Canada (ECCC), Dorval, Quebec, Canada
Marco Giorgetta
Department of the Atmosphere in the Earth System, Max Planck Institute for Meteorology, Hamburg, Germany
Daniel Reinert
Deutscher Wetterdienst (DWD), Offenbach am Main, Germany
Hiroaki Miura
Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo, Tokyo, Japan
Tomoki Ohno
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan
Ryuji Yoshida
Division of Natural Environment and Information, Yokohama National University, Kanagawa, Japan
Data sets
DCMIP2016: The tropical cyclone test case Justin Willson and Kevin Reed https://doi.org/10.5061/dryad.fttdz08z5
Model code and software
ClimateGlobalChange/DCMIP2016: v1.0 Paul Ullrich et al. https://doi.org/10.5281/zenodo.1298671
Short summary
Accurate simulation of tropical cyclones (TCs) is essential to understanding their behavior in a changing climate. One way this is accomplished is through model intercomparison projects, where results from multiple climate models are analyzed to provide benchmark solutions for the wider climate modeling community. This study describes and analyzes the previously developed TC test case for nine climate models in an intercomparison project, providing solutions that aid in model development.
Accurate simulation of tropical cyclones (TCs) is essential to understanding their behavior in a...
