Articles | Volume 5, issue 4
https://doi.org/10.5194/gmd-5-1009-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-5-1009-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
09 Aug 2012
Development and technical paper |
| 09 Aug 2012
Assessing climate model software quality: a defect density analysis of three models
J. Pipitone
Department of Computer Science, University of Toronto, Canada
S. Easterbrook
Department of Computer Science, University of Toronto, Canada
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20 citations as recorded by crossref.
- Hello world! An interdisciplinary climate modelling course U. Proske & M. Staab https://doi.org/10.5194/gc-9-239-2026
- CSDMS: a community platform for numerical modeling of Earth surface processes G. Tucker et al. https://doi.org/10.5194/gmd-15-1413-2022
- Failure analysis of parameter-induced simulation crashes in climate models D. Lucas et al. https://doi.org/10.5194/gmd-6-1157-2013
- Crossing the chasm: how to develop weather and climate models for next generation computers? B. Lawrence et al. https://doi.org/10.5194/gmd-11-1799-2018
- Editorial: Introducing a new article type: Limitations, Errors, Surprises, Shortcomings and Opportunities for New Science (LESSONS) U. Proske et al. https://doi.org/10.5194/gc-9-371-2026
- Code accessibility and code quality across phases of the models of the Coupled Model Intercomparison Project M. García-Rodríguez et al. https://doi.org/10.5194/gmd-19-7687-2026
- A new ensemble-based consistency test for the Community Earth System Model (pyCECT v1.0) A. Baker et al. https://doi.org/10.5194/gmd-8-2829-2015
- A practical guide to writing a radiative transfer code S. Korkin et al. https://doi.org/10.1016/j.cpc.2021.108198
- A practical guide to coding line-by-line trace gas absorption in Earth's atmosphere S. Korkin et al. https://doi.org/10.1016/j.jqsrt.2025.109345
- Bridging the Chasm T. Storer https://doi.org/10.1145/3084225
- How to make models more useful C. Barton et al. https://doi.org/10.1073/pnas.2202112119
- Current status on the need for improved accessibility to climate models code J. Añel et al. https://doi.org/10.5194/gmd-14-923-2021
- Unlocking the benefits of transparent and reusable science for climate risk management A. Pollack et al. https://doi.org/10.1073/pnas.2422157123
- Development management of Meteorological Research Institute Community Ocean Model (MRI.COM) using Git and Redmine K. Sakamoto et al. https://doi.org/10.5928/kaiyou.27.5_175
- Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al. https://doi.org/10.5194/gmd-19-2407-2026
- Towards Characterizing the Variability of Statistically Consistent Community Earth System Model Simulations D. Milroy et al. https://doi.org/10.1016/j.procs.2016.05.489
- Evaluating statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0) A. Baker et al. https://doi.org/10.5194/gmd-9-2391-2016
- Keeping science on keel when software moves D. Ahn et al. https://doi.org/10.1145/3382037
- Testing scientific software: A systematic literature review U. Kanewala & J. Bieman https://doi.org/10.1016/j.infsof.2014.05.006
- Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51 P. Jöckel et al. https://doi.org/10.5194/gmd-9-1153-2016
20 citations as recorded by crossref.
- Hello world! An interdisciplinary climate modelling course U. Proske & M. Staab https://doi.org/10.5194/gc-9-239-2026
- CSDMS: a community platform for numerical modeling of Earth surface processes G. Tucker et al. https://doi.org/10.5194/gmd-15-1413-2022
- Failure analysis of parameter-induced simulation crashes in climate models D. Lucas et al. https://doi.org/10.5194/gmd-6-1157-2013
- Crossing the chasm: how to develop weather and climate models for next generation computers? B. Lawrence et al. https://doi.org/10.5194/gmd-11-1799-2018
- Editorial: Introducing a new article type: Limitations, Errors, Surprises, Shortcomings and Opportunities for New Science (LESSONS) U. Proske et al. https://doi.org/10.5194/gc-9-371-2026
- Code accessibility and code quality across phases of the models of the Coupled Model Intercomparison Project M. García-Rodríguez et al. https://doi.org/10.5194/gmd-19-7687-2026
- A new ensemble-based consistency test for the Community Earth System Model (pyCECT v1.0) A. Baker et al. https://doi.org/10.5194/gmd-8-2829-2015
- A practical guide to writing a radiative transfer code S. Korkin et al. https://doi.org/10.1016/j.cpc.2021.108198
- A practical guide to coding line-by-line trace gas absorption in Earth's atmosphere S. Korkin et al. https://doi.org/10.1016/j.jqsrt.2025.109345
- Bridging the Chasm T. Storer https://doi.org/10.1145/3084225
- How to make models more useful C. Barton et al. https://doi.org/10.1073/pnas.2202112119
- Current status on the need for improved accessibility to climate models code J. Añel et al. https://doi.org/10.5194/gmd-14-923-2021
- Unlocking the benefits of transparent and reusable science for climate risk management A. Pollack et al. https://doi.org/10.1073/pnas.2422157123
- Development management of Meteorological Research Institute Community Ocean Model (MRI.COM) using Git and Redmine K. Sakamoto et al. https://doi.org/10.5928/kaiyou.27.5_175
- Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al. https://doi.org/10.5194/gmd-19-2407-2026
- Towards Characterizing the Variability of Statistically Consistent Community Earth System Model Simulations D. Milroy et al. https://doi.org/10.1016/j.procs.2016.05.489
- Evaluating statistical consistency in the ocean model component of the Community Earth System Model (pyCECT v2.0) A. Baker et al. https://doi.org/10.5194/gmd-9-2391-2016
- Keeping science on keel when software moves D. Ahn et al. https://doi.org/10.1145/3382037
- Testing scientific software: A systematic literature review U. Kanewala & J. Bieman https://doi.org/10.1016/j.infsof.2014.05.006
- Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51 P. Jöckel et al. https://doi.org/10.5194/gmd-9-1153-2016
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