Articles | Volume 11, issue 3
Geosci. Model Dev., 11, 843–859, 2018
Geosci. Model Dev., 11, 843–859, 2018

Model description paper 06 Mar 2018

Model description paper | 06 Mar 2018

Isca, v1.0: a framework for the global modelling of the atmospheres of Earth and other planets at varying levels of complexity

Geoffrey K. Vallis et al.

Related authors

SimCloud version 1.0: a simple diagnostic cloud scheme for idealized climate models
Qun Liu, Matthew Collins, Penelope Maher, Stephen I. Thomson, and Geoffrey K. Vallis
Geosci. Model Dev., 14, 2801–2826,,, 2021
Short summary

Related subject area

Atmospheric sciences
WOMBAT v1.0: a fully Bayesian global flux-inversion framework
Andrew Zammit-Mangion, Michael Bertolacci, Jenny Fisher, Ann Stavert, Matthew Rigby, Yi Cao, and Noel Cressie
Geosci. Model Dev., 15, 45–73,,, 2022
Short summary
Analysis of the MODIS above-cloud aerosol retrieval algorithm using MCARS
Galina Wind, Arlindo M. da Silva, Kerry G. Meyer, Steven Platnick, and Peter M. Norris
Geosci. Model Dev., 15, 1–14,,, 2022
Short summary
How well can inverse analyses of high-resolution satellite data resolve heterogeneous methane fluxes? Observing system simulation experiments with the GEOS-Chem adjoint model (v35)
Xueying Yu, Dylan B. Millet, and Daven K. Henze
Geosci. Model Dev., 14, 7775–7793,,, 2021
Short summary
Reduced-complexity air quality intervention modeling over China: the development of InMAPv1.6.1-China and a comparison with CMAQv5.2
Ruili Wu, Christopher W. Tessum, Yang Zhang, Chaopeng Hong, Yixuan Zheng, Xinyin Qin, Shigan Liu, and Qiang Zhang
Geosci. Model Dev., 14, 7621–7638,,, 2021
Short summary
High-resolution modeling of the distribution of surface air pollutants and their intercontinental transport by a global tropospheric atmospheric chemistry source–receptor model (GNAQPMS-SM)
Qian Ye, Jie Li, Xueshun Chen, Huansheng Chen, Wenyi Yang, Huiyun Du, Xiaole Pan, Xiao Tang, Wei Wang, Lili Zhu, Jianjun Li, Zhe Wang, and Zifa Wang
Geosci. Model Dev., 14, 7573–7604,,, 2021
Short summary

Cited articles

Betts, A. K.: A new convective adjustment scheme, Part I: Observational and theoretical basis, Q. J. Roy. Meteor. Soc., 112, 677–691, 1986. a
Betts, A. K. and Miller, M. J.: A new convective adjustment scheme, Part II: Single column test using GATE wave, BOMEX, ATEX and Arctic air mass data sets, Q. J. Roy. Meteor. Soc., 112, 693–709, 1986. a
Blackburn, M. and Hoskins, B. J.: Context and aims of the Aqua-Planet Experiment, J. Meteorol. Soc. Jpn., 91, 1–15, 2013. 
Bourke, W.: A multilevel spectral model, I. Formulation and hemispheric integrations, Mon. Weather Rev., 102, 687–701, 1974. a
Boutle, I. A., Mayne, N. J., Drummond, B., Manners, J., Goyal, J., Lambert, F. H., Acreman, D. M., and Earnshaw, P. D.: Exploring the climate of Proxima B with the Met Office Unified Model, Astron. Astrophys., 601, A120,, 2017. a
Short summary
The models that are used to describe the atmospheres of Earth and other planets are often very complicated. Although this is necessary for such things as weather prediction, it does not help in understanding. Furthermore, when studying other planets, there are insufficient data to warrant the use of complicated models. We have developed a framework that allows the construction of models of appropriate complexity for the problem at hand, and thus helps to actually model these atmospheres.