Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2493-2024
https://doi.org/10.5194/gmd-17-2493-2024
Methods for assessment of models
 | 
03 Apr 2024
Methods for assessment of models |  | 03 Apr 2024

DCMIP2016: the tropical cyclone test case

Justin L. Willson, Kevin A. Reed, Christiane Jablonowski, James Kent, Peter H. Lauritzen, Ramachandran Nair, Mark A. Taylor, Paul A. Ullrich, Colin M. Zarzycki, David M. Hall, Don Dazlich, Ross Heikes, Celal Konor, David Randall, Thomas Dubos, Yann Meurdesoif, Xi Chen, Lucas Harris, Christian Kühnlein, Vivian Lee, Abdessamad Qaddouri, Claude Girard, Marco Giorgetta, Daniel Reinert, Hiroaki Miura, Tomoki Ohno, and Ryuji Yoshida

Related authors

Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching
Pauline Bonnet, Lorenzo Pastori, Mierk Schwabe, Marco Giorgetta, Fernando Iglesias-Suarez, and Veronika Eyring
Geosci. Model Dev., 18, 3681–3706, https://doi.org/10.5194/gmd-18-3681-2025,https://doi.org/10.5194/gmd-18-3681-2025, 2025
Short summary
Zooming In: SCREAM at 100 m Using Regional Refinement over the San Francisco Bay Area
Jishi Zhang, Peter Bogenschutz, Mark Taylor, and Philip Cameron-Smith
EGUsphere, https://doi.org/10.5194/egusphere-2025-2223,https://doi.org/10.5194/egusphere-2025-2223, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Global ocean and sea ice variability simulated in eddy-permitting climate models
Yushi Morioka, Eric Maisonnave, Sébastien Masson, Clement Rousset, Luis Kornblueh, Marco Giorgetta, Masami Nonaka, and Swadhin K. Behera
EGUsphere, https://doi.org/10.5194/egusphere-2025-2258,https://doi.org/10.5194/egusphere-2025-2258, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Contribution of physical latent knowledge to the emulation of an atmospheric physics model: a study based on the LMDZ Atmospheric General Circulation Model
Ségolène Crossouard, Soulivanh Thao, Thomas Dubos, Masa Kageyama, Mathieu Vrac, and Yann Meurdesoif
EGUsphere, https://doi.org/10.5194/egusphere-2025-1418,https://doi.org/10.5194/egusphere-2025-1418, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
QuadTune version 1: A regional tuner for global atmospheric models
Vincent Larson, Zhun Guo, Benjamin Stephens, Colin Zarzycki, Gerhard Dikta, Yun Qian, and Shaocheng Xie
EGUsphere, https://doi.org/10.5194/egusphere-2025-1593,https://doi.org/10.5194/egusphere-2025-1593, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary

Related subject area

Climate and Earth system modeling
Implementing deep soil and dynamic root uptake in Noah-MP (v4.5): impact on Amazon dry-season transpiration
Carolina A. Bieri, Francina Dominguez, Gonzalo Miguez-Macho, and Ying Fan
Geosci. Model Dev., 18, 3755–3779, https://doi.org/10.5194/gmd-18-3755-2025,https://doi.org/10.5194/gmd-18-3755-2025, 2025
Short summary
Reducing time and computing costs in EC-Earth: an automatic load-balancing approach for coupled Earth system models
Sergi Palomas, Mario C. Acosta, Gladys Utrera, and Etienne Tourigny
Geosci. Model Dev., 18, 3661–3679, https://doi.org/10.5194/gmd-18-3661-2025,https://doi.org/10.5194/gmd-18-3661-2025, 2025
Short summary
FLAME 1.0: a novel approach for modelling burned area in the Brazilian biomes using the maximum entropy concept
Maria Lucia Ferreira Barbosa, Douglas I. Kelley, Chantelle A. Burton, Igor J. M. Ferreira, Renata Moura da Veiga, Anna Bradley, Paulo Guilherme Molin, and Liana O. Anderson
Geosci. Model Dev., 18, 3533–3557, https://doi.org/10.5194/gmd-18-3533-2025,https://doi.org/10.5194/gmd-18-3533-2025, 2025
Short summary
SURFER v3.0: a fast model with ice sheet tipping points and carbon cycle feedbacks for short- and long-term climate scenarios
Victor Couplet, Marina Martínez Montero, and Michel Crucifix
Geosci. Model Dev., 18, 3081–3129, https://doi.org/10.5194/gmd-18-3081-2025,https://doi.org/10.5194/gmd-18-3081-2025, 2025
Short summary
NMH-CS 3.0: a C# programming language and Windows-system-based ecohydrological model derived from Noah-MP
Yong-He Liu and Zong-Liang Yang
Geosci. Model Dev., 18, 3157–3174, https://doi.org/10.5194/gmd-18-3157-2025,https://doi.org/10.5194/gmd-18-3157-2025, 2025
Short summary

Cited articles

Blackburn, M., Williamson, D. L., Nakajima, K., Ohfuchi, W., Takahashi, Y. O., Hayashi, Y.-Y., Nakamura, H., Ishiwatari, M., McGregor, J. L., Borth, H., Wirth, V., Frank, H., Bechtold, P., Wedi, N. P., Tomita, H., Satoh, M., Zhao, M., Held, I. M., Suarez, M. J., Lee, M.-I., Wantanabe, M., Kimoto, M., Liu, Y., Wang, Z., Molod, A., Rajendran, K., Kitoh, A., and Stratton, R.: The aqua-planet experiment (APE): Control SST simulation, J. Meteorol. Soc. Jpn. Ser. II, 91, 17–56, https://doi.org/10.2151/jmsj.2013-A02, 2013. a
CESM: Simpler Models, https://www.cesm.ucar.edu/models/simple, last access: 23 December 2023. a
Charney, J. G. and Phillips, N. A.: Numerical integration of the quasigeostrophic equations for barotropic and simple barolclinid flows, J. Meteorol., 10, 71–99, 1953. a
Chavas, D. R. and Lin, N.: A Model for the Complete Radial Structure of the Tropical Cyclone Wind Field. Part I: Comparison with Observed Structure, J. Atmos. Sci., 72, 3647–3662, https://doi.org/10.1175/JAS-D-15-0014.1, 2015. a, b
Chavas, D. R., Reed, K. A., and Knaff, J. A.: Physical understanding of the tropical cyclone wind-pressure relationship, Nat. Commun., 8, 1–11, https://doi.org/10.1038/s41467-017-01546-9, 2017. a, b
Download
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.
Share