Andrew Gettelman, National Center for Atmospheric Research
Richard B. Rood, Climate and Space Sciences, University of Michigan
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"Uncertainty is not a weakness. Understanding uncertainty is a strength, and a key part of using any model, including climate models."
Demystifying Climate Models is designed to be a guide to climate simulation and prediction for the non-specialist and an entry point for understanding uncertainties in climate models. The goal of the book is not to be simply a popular guide to climate modeling and prediction, but to help those using climate models to understand the results. This book provides background on the earth’s climate system and how it might change, a detailed qualitative analysis of how climate models are constructed, and a discussion of model results and the uncertainty inherent in those results.
Who this book is for:
This book is designed as a qualitative and schematic description of climate models. The goal is to give the reader an understanding of the philosophy and practice behind climate models. It is appropriate for undergraduates and graduate students learning about climate change and climate policy. It is also appropriate as an introduction for those with a background in meteorology. The book will also be valuable for graduate students in other scientific disciplines who may want to use climate models in their research. It is not a guide for designing climate models. It is a guide for their use, with a focus on uncertainty in model output, and framing that uncertainty so models are useful for different problems.