Introducing the New Regional Community Earth System Model, R-CESM

Aug 10, 2023·
Dan Fu
Dan Fu
,
Justin Small
Corresponding
Jaison Kurian
Jaison Kurian
Yun Liu
Yun Liu
,
Brian Kauffman
Abishek Gopal
Abishek Gopal
Sanjiv Ramachandran
Sanjiv Ramachandran
,
Zhi Shang
Ping Chang
Ping Chang
,
Gokhan Danabasoglu
,
Katherine Thayer-Calder
,
Mariana Vertenstein
Xiaohui Ma
Xiaohui Ma
Hengkai YAO
Hengkai YAO
,
Mingkui Li
,
Zhao Xu
,
Xiaopei Lin
,
Shaoqing Zhang
,
Lixin Wu
· 0 min read
Image credit: Dan Fu
Abstract
The development of high-resolution, fully coupled, regional Earth system model systems is important for improving our understanding of climate variability, future projections, and extreme events at regional scales. Here we introduce and present an overview of the newly developed Regional Community Earth System Model (R-CESM). Different from other existing regional climate models, R-CESM is based on the Community Earth System Model version 2 (CESM2) framework. We have incorporated the Weather Research and Forecasting (WRF) Model and Regional Ocean Modeling System (ROMS) into CESM2 as additional components. As such, R-CESM can be conveniently used as a regional dynamical downscaling tool for the global CESM solutions or/and as a standalone high-resolution regional coupled model. The user interface of R-CESM follows that of CESM, making it readily accessible to the broader community. Among countless potential applications of R-CESM, we showcase here a few preliminary studies that illustrate its novel aspects and value. These include 1) assessing the skill of R-CESM in a multiyear, high-resolution, regional coupled simulation of the Gulf of Mexico; 2) examining the impact of WRF and CESM ocean–atmosphere coupling physics on tropical cyclone simulations; and 3) a convection-permitting simulation of submesoscale ocean–atmosphere interactions. We also discuss capabilities under development such as (i) regional refinement using a high-resolution ROMS nested within global CESM and (ii) “online” coupled data assimilation. Our open-source framework (publicly available at https://github.com/ihesp/rcesm1) can be easily adapted to a broad range of applications that are of interest to the users of CESM, WRF, and ROMS.
Type
Publication
Bulletin of the American Meteorological Society

SCImago Journal & Country Rank

Dan Fu
Authors
Dan Fu
Jaison Kurian
Authors
Jaison Kurian
Assistant Research Scientist
Yun Liu
Authors
Yun Liu
Assistant Research Scientist
Abishek Gopal
Authors
Abishek Gopal
Sanjiv Ramachandran
Authors
Sanjiv Ramachandran
Ping Chang
Authors
Ping Chang
Professor, Louis & Elizabeth Scherck Chair in Oceanography
Dr. Chang’s expertise is on climate dynamics and climate prediction, as well as global and regional climate modeling.
Xiaohui Ma
Authors
Xiaohui Ma
Professor of Physical Oceanography
Hengkai YAO
Authors
Hengkai YAO (he/him)
Ocean Scientist