Holland, David and Holland, Denise. "Case Study 8: Using Observational Data and Numerical Modeling to Make Scientific Discoveries in Climate Science".
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences, edited by Justin Kitzes, Berkeley: University of California Press, 2017, pp. 149-154.
https://doi.org/10.1525/9780520967779-017Holland, D. & Holland, D. (2017). Case Study 8: Using Observational Data and Numerical Modeling to Make Scientific Discoveries in Climate Science. In J. Kitzes (Ed.),
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences (pp. 149-154). Berkeley: University of California Press.
https://doi.org/10.1525/9780520967779-017Holland, D. and Holland, D. 2017. Case Study 8: Using Observational Data and Numerical Modeling to Make Scientific Discoveries in Climate Science. In: Kitzes, J. ed.
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press, pp. 149-154.
https://doi.org/10.1525/9780520967779-017Holland, David and Holland, Denise. "Case Study 8: Using Observational Data and Numerical Modeling to Make Scientific Discoveries in Climate Science" In
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences edited by Justin Kitzes, 149-154. Berkeley: University of California Press, 2017.
https://doi.org/10.1525/9780520967779-017Holland D, Holland D. Case Study 8: Using Observational Data and Numerical Modeling to Make Scientific Discoveries in Climate Science. In: Kitzes J (ed.)
The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences. Berkeley: University of California Press; 2017. p.149-154.
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