Regional Climate Model Evaluation System Powered by Apache Open Climate Workbench v1.3.0: An Enabling Tool for Facilitating Regional Climate Studies

Authors

Huikyo Lee, California Institute of TechnologyFollow
Alexander Goodman, California Institute of Technology
Lewis McGibbney, California Institute of Technology
Duane E. Waliser, California Institute of TechnologyFollow
Jinwon Kim, University of California, Los AngelesFollow
Paul C. Loikith, Portland State UniversityFollow
Peter B. Gibson, California Institute of Technology
Elias C. Massoud, California Institute of Technology

Published In

Geoscientific Model Development

Document Type

Article

Publication Date

2018

Subjects

Climatic changes -- North America -- Simulation methods, Climatology -- Mathematical models -- Technological innovations, Apache Software Foundation

Abstract

The Regional Climate Model Evaluation System (RCMES) is an enabling tool of the National Aeronautics and Space Administration to support the United States National Climate Assessment. As a comprehensive system for evaluating climate models on regional and continental scales using observational datasets from a variety of sources, RCMES is designed to yield information on the performance of climate models and guide their improvement. Here, we present a user-oriented document describing the latest version of RCMES, its development process, and future plans for improvements. The main objective of RCMES is to facilitate the climate model evaluation process at regional scales. RCMES provides a framework for performing systematic evaluations of climate simulations, such as those from the Coordinated Regional Climate Downscaling Experiment (CORDEX), using in situ observations, as well as satellite and reanalysis data products. The main components of RCMES are (1) a database of observations widely used for climate model evaluation, (2) various data loaders to import climate models and observations on local file systems and Earth System Grid Federation (ESGF) nodes, (3) a versatile processor to subset and regrid the loaded datasets, (4) performance metrics designed to assess and quantify model skill, (5) plotting routines to visualize the performance metrics, (6) a toolkit for statistically downscaling climate model simulations, and (7) two installation packages to maximize convenience of users without Python skills. RCMES website is maintained up to date with a brief explanation of these components. Although there are other open-source software (OSS) toolkits that facilitate analysis and evaluation of climate models, there is a need for climate scientists to participate in the development and customization of OSS to study regional climate change. To establish infrastructure and to ensure software sustainability, development of RCMES is an open, publicly accessible process enabled by leveraging the Apache Software Foundation's OSS library, Apache Open Climate Workbench (OCW). The OCW software that powers RCMES includes a Python OSS library for common climate model evaluation tasks as well as a set of user-friendly interfaces for quickly configuring a model evaluation task. OCW also allows users to build their own climate data analysis tools, such as the statistical downscaling toolkit provided as a part of RCMES.

Description

© Author(s) 2018.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Locate the Document

https://doi.org/10.5194/gmd-11-4435-2018

DOI

10.5194/gmd-11-4435-2018

Persistent Identifier

https://archives.pdx.edu/ds/psu/27692

Citation Details

Lee, H., Goodman, A., McGibbney, L., Waliser, D. E., Kim, J., Loikith, P. C., Gibson, P. B., and Massoud, E. C.: Regional Climate Model Evaluation System powered by Apache Open Climate Workbench v1.3.0: an enabling tool for facilitating regional climate studies, Geosci. Model Dev., 11, 4435-4449.