Working with Daily Climate Model Output Data in R and the futureheatwaves Package

Area of Science:

• Climate Science
• Environmental Data Analysis
• Computational Statistics

Background:

• Climate change research necessitates processing large volumes of climate model output, often involving multiple models and simulations.
• Identifying and characterizing multi-day extreme weather events (e.g., heat waves, frost spells) from daily time-step climate model data presents significant computational challenges.
• Climate model output formats and standards can be unfamiliar to many users of the R statistical environment.

Purpose of the Study:

• To provide an overview of methods for working with daily climate model output data in R.
• To introduce the `futureheatwaves` R package, designed to streamline the analysis of multi-day extreme events in climate model outputs.
• To facilitate the identification, characterization, and exploration of extreme weather events within climate projection data.

Main Methods:

• The `futureheatwaves` package accepts a directory of climate model output files as input.
• It employs customizable definitions to identify various types of extreme weather events.
• The package allows users to summarize and analyze identified extreme events using user-defined functions.

Main Results:

• The `futureheatwaves` package simplifies the complex task of processing daily climate model output for extreme event analysis.
• It enables researchers to efficiently identify, characterize, and explore multi-day extreme events across ensemble climate model datasets.
• The package provides a flexible framework for summarizing extreme event statistics based on user-specific analytical needs.

Conclusions:

• The `futureheatwaves` R package significantly reduces the technical barrier to analyzing extreme weather events in climate model data.
• This tool enhances the accessibility and efficiency of climate change impact research, particularly for studies involving multi-day extreme events.
• By simplifying data processing and analysis, `futureheatwaves` supports more robust investigations into the frequency and characteristics of future climate extremes.