Advanced cyberinfrastructure for intercomparison and validation of climate models
Advanced cyberinfrastructure for intercomparison and validation of climate models
复制标题
DOI：
10.1016/j.envsoft.2019.104559
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Ziheng Sun;L. Di;B. Cash;Juozas Gaigalas
中科院分区：
文献类型：
--
作者：
Ziheng Sun;L. Di;B. Cash;Juozas Gaigalas
目前气候科学中的比较和验证常规往往是静态的且效率低下，这阻碍了基于证据的决策和科学信心。由于气候模型的分辨率、复杂性和相关数据量急剧增加，客观地比较多个模型并根据观测评估其准确性是一个日益严峻的挑战。我们提出了一个集成框架，用于协调最先进的网络基础设施技术与长期熟悉现有面向社区的软件所形成的用户习惯。实施了名为 COVALI 的开源原型，并用于比较和验证几种广泛使用的气候模型和数据集的结果。我们的结果表明，所提出的基于网络基础设施的策略可以显着自动化气候建模中的比较和验证过程。更重要的是，新策略保留了气候界现有的用户习惯，同时使科学家更容易在日常研究中采用新技术。
The current routine of comparison and validation in climate science is frequently static and of low efficiency, which hinders evidence-based decision making and scientific confidence. Due to the aggressively increasing resolution, complexity, and associated data volumes of climate models, objectively comparing multiple models and assessing their accuracy against observations is an ever-increasing challenge. We propose an integrated framework for harmonizing state-of-the-art cyberinfrastructure techniques with the user habits formed by long-term familiarity with existing community-oriented software. An open source prototype named COVALI is implemented and used to compare and validate the results of several widely-used climate models and datasets. Our results show that the proposed cyberinfrastructure-based strategy can significantly automate the comparison and validation processes in climate modeling. More importantly, the new strategy retains the existing user habits in the climate community while making it easier for scientists to adopt new technology in their research routine.