BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections
Wong, T.E.; Bakker, A.M.R.; Ruckert, K.; Applegate, P.; Slangen, A.B.A.; Keller, K. (2017). BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections. Geosci. Model Dev. 10(7): 2741-2760. https://doi.org/10.5194/gmd-10-2741-2017
In: Geoscientific Model Development. Copernicus Publications: Göttingen. ISSN 1991-959X; e-ISSN 1991-9603, more
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| Authors | | Top |
- Wong, T.E.
- Bakker, A.M.R.
- Ruckert, K.
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- Applegate, P.
- Slangen, A.B.A., more
- Keller, K.
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| Abstract |
Simple models can play pivotal roles in the quantificationand framing of uncertainties surrounding climatechange and sea-level rise. They are computationally efficient,transparent, and easy to reproduce. These qualities also makesimple models useful for the characterization of risk. Simplemodel codes are increasingly distributed as open source,as well as actively shared and guided. Alas, computer codesused in the geosciences can often be hard to access, run,modify (e.g., with regards to assumptions and model components),and review. Here, we describe the simple modelframework BRICK (Building blocks for Relevant Ice andClimate Knowledge) v0.2 and its underlying design principles.The paper adds detail to an earlier published modelsetup and discusses the inclusion of a land water storagecomponent. The framework largely builds on existing modelsand allows for projections of global mean temperatureas well as regional sea levels and coastal flood risk. BRICKis written in R and Fortran. BRICK gives special attention tothe model values of transparency, accessibility, and flexibilityin order to mitigate the above-mentioned issues while maintaininga high degree of computational efficiency.We demonstratethe flexibility of this framework through simple modelintercomparison experiments. Furthermore, we demonstratethat BRICK is suitable for risk assessment applications byusing a didactic example in local flood risk management. |
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