Working with Daily Climate Model Output Data in R and the futureheatwaves Package.
Working with Daily Climate Model Output Data in R and the futureheatwaves Package.
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DOI：
10.32614/rj-2017-032
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Barnes EA
中科院分区：
文献类型：
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作者：
Anderson GB;Eason C;Barnes EA
关于气候变化影响的研究可能需要对气候模型的输出进行广泛的处理，特别是在使用集合技术将多个气候模型的输出和每个模型的多个模拟结合起来的情况下。当识别和表征多日极端事件（如热浪和霜冻日）时，这种处理可能特别广泛，因为这些必须从模型输出中以每日时间步长进行处理。此外，气候模式输出的格式和标准可能是大多数R用户不熟悉的。在这里，我们提供了一个在R中使用每日气候模型输出数据的概述。然后，我们提出了futureheatwaves包，我们开发了它来简化识别，表征和探索气候模型输出中多日极端事件的过程。该软件包可以输入气候模型输出文件的目录，使用可定制的事件定义识别所有极端事件，并使用用户指定的函数汇总输出。
Research on climate change impacts can require extensive processing of climate model output, especially when using ensemble techniques to incorporate output from multiple climate models and multiple simulations of each model. This processing can be particularly extensive when identifying and characterizing multi-day extreme events like heat waves and frost day spells, as these must be processed from model output with daily time steps. Further, climate model output is in a format and follows standards that may be unfamiliar to most R users. Here, we provide an overview of working with daily climate model output data in R. We then present the futureheatwaves package, which we developed to ease the process of identifying, characterizing, and exploring multi-day extreme events in climate model output. This package can input a directory of climate model output files, identify all extreme events using customizable event definitions, and summarize the output using user-specified functions.