BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections
BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections
复制标题
BRICK v0.2，一个简单、可访问且透明的气候和区域海平面预测模型框架
DOI：
10.5194/gmd-10-2741-2017
复制
发表时间：
2017
影响因子：
5.1
通讯作者：
K. Keller
中科院分区：
文献类型：
--
作者：
T. Wong;A. Bakker;Kelsey L. Ruckert;P. Applegate;A. Slangen;K. Keller
抽象的。简单的模型可以在量化和确定气候变化和海平面上升的不确定性方面发挥关键作用。它们在计算上是高效的，透明的，并且易于复制。这些特性也使得简单的模型对于风险的定性非常有用。简单的模型代码越来越多地作为开源发布，并积极共享和指导。唉，地球科学中使用的计算机代码往往很难访问、运行、修改（例如，关于假设和模型组成部分）和审查。在这里，我们描述了简单的模型框架BRICK（相关冰和气候知识的构建块）v0.2及其基本设计原则。本文增加了详细的早期公布的模型设置，并讨论了包括土地储水组件。该框架主要建立在现有模型的基础上，能够预测全球平均温度以及区域海平面和沿海洪水风险。BRICK是用R和Fortran编写的。BRICK特别关注透明性、可访问性和灵活性的模型值，以缓解上述问题，同时保持高度的计算效率。我们证明了这个框架的灵活性，通过简单的模型相互比较实验。此外，我们证明了砖是适合于风险评估的应用程序，通过使用一个教学的例子，在当地的洪水风险管理。
Abstract. Simple models can play pivotal roles in the quantification and framing of uncertainties surrounding climate change and sea-level rise. They are computationally efficient, transparent, and easy to reproduce. These qualities also make simple models useful for the characterization of risk. Simple model codes are increasingly distributed as open source, as well as actively shared and guided. Alas, computer codes used 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 model framework BRICK (Building blocks for Relevant Ice and Climate Knowledge) v0.2 and its underlying design principles. The paper adds detail to an earlier published model setup and discusses the inclusion of a land water storage component. The framework largely builds on existing models and allows for projections of global mean temperature as well as regional sea levels and coastal flood risk. BRICK is written in R and Fortran. BRICK gives special attention to the model values of transparency, accessibility, and flexibility in order to mitigate the above-mentioned issues while maintaining a high degree of computational efficiency. We demonstrate the flexibility of this framework through simple model intercomparison experiments. Furthermore, we demonstrate that BRICK is suitable for risk assessment applications by using a didactic example in local flood risk management.
影响因子：
4.8
作者：
Slangen, A. B. A.;Carson, M.;Stammer, D.
通讯作者：
Stammer, D.
影响因子：
9.8
作者：
Wilson G;Aruliah DA;Brown CT;Chue Hong NP;Davis M;Guy RT;Haddock SH;Huff KD;Mitchell IM;Plumbley MD;Waugh B;White EP;Wilson P
通讯作者：
Wilson P