Journal of Advances in Modeling Earth Systems (Dec 2020)
An Unprecedented Set of High‐Resolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change
- Ping Chang,
- Shaoqing Zhang,
- Gokhan Danabasoglu,
- Stephen G. Yeager,
- Haohuan Fu,
- Hong Wang,
- Frederic S. Castruccio,
- Yuhu Chen,
- James Edwards,
- Dan Fu,
- Yinglai Jia,
- Lucas C. Laurindo,
- Xue Liu,
- Nan Rosenbloom,
- R. Justin Small,
- Gaopeng Xu,
- Yunhui Zeng,
- Qiuying Zhang,
- Julio Bacmeister,
- David A. Bailey,
- Xiaohui Duan,
- Alice K. DuVivier,
- Dapeng Li,
- Yuxuan Li,
- Richard Neale,
- Achim Stössel,
- Li Wang,
- Yuan Zhuang,
- Allison Baker,
- Susan Bates,
- John Dennis,
- Xiliang Diao,
- Bolan Gan,
- Abishek Gopal,
- Dongning Jia,
- Zhao Jing,
- Xiaohui Ma,
- R. Saravanan,
- Warren G. Strand,
- Jian Tao,
- Haiyuan Yang,
- Xiaoqi Wang,
- Zhiqiang Wei,
- Lixin Wu
Affiliations
- Ping Chang
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Shaoqing Zhang
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Gokhan Danabasoglu
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Stephen G. Yeager
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Haohuan Fu
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Hong Wang
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Frederic S. Castruccio
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Yuhu Chen
- Department of Supercomputing Qingdao Pilot National Laboratory for Marine Science and Technology Qingdao China
- James Edwards
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Dan Fu
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Yinglai Jia
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Lucas C. Laurindo
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Xue Liu
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Nan Rosenbloom
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- R. Justin Small
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Gaopeng Xu
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Yunhui Zeng
- Computer Science Center and National Supercomputer Center in Jinan Jinan China
- Qiuying Zhang
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Julio Bacmeister
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- David A. Bailey
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Xiaohui Duan
- National Supercomputing Center in Wuxi Wuxi China
- Alice K. DuVivier
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Dapeng Li
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Yuxuan Li
- Department of Computer Science and Technology Tsinghua University Beijing China
- Richard Neale
- National Center for Atmospheric Research Boulder CO USA
- Achim Stössel
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Li Wang
- Computer Science Center and National Supercomputer Center in Jinan Jinan China
- Yuan Zhuang
- Computer Science Center and National Supercomputer Center in Jinan Jinan China
- Allison Baker
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Susan Bates
- National Center for Atmospheric Research Boulder CO USA
- John Dennis
- National Center for Atmospheric Research Boulder CO USA
- Xiliang Diao
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Bolan Gan
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Abishek Gopal
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Dongning Jia
- Department of Supercomputing Qingdao Pilot National Laboratory for Marine Science and Technology Qingdao China
- Zhao Jing
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Xiaohui Ma
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- R. Saravanan
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Warren G. Strand
- National Center for Atmospheric Research Boulder CO USA
- Jian Tao
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Haiyuan Yang
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Xiaoqi Wang
- International Laboratory for High‐Resolution Earth System Model and Prediction (iHESP) Texas A&M University College Station TX USA
- Zhiqiang Wei
- Department of Supercomputing Qingdao Pilot National Laboratory for Marine Science and Technology Qingdao China
- Lixin Wu
- Laboratory for Ocean Dynamics and Climate Qingdao Pilot National Laboratory for Marine Science and Technology Qingdao China
- DOI
- https://doi.org/10.1029/2020MS002298
- Journal volume & issue
-
Vol. 12,
no. 12
pp. n/a – n/a
Abstract
Abstract We present an unprecedented set of high‐resolution climate simulations, consisting of a 500‐year pre‐industrial control simulation and a 250‐year historical and future climate simulation from 1850 to 2100. A high‐resolution configuration of the Community Earth System Model version 1.3 (CESM1.3) is used for the simulations with a nominal horizontal resolution of 0.25° for the atmosphere and land models and 0.1° for the ocean and sea‐ice models. At these resolutions, the model permits tropical cyclones and ocean mesoscale eddies, allowing interactions between these synoptic and mesoscale phenomena with large‐scale circulations. An overview of the results from these simulations is provided with a focus on model drift, mean climate, internal modes of variability, representation of the historical and future climates, and extreme events. Comparisons are made to solutions from an identical set of simulations using the standard resolution (nominal 1°) CESM1.3 and to available observations for the historical period to address some key scientific questions concerning the impact and benefit of increasing model horizontal resolution in climate simulations. An emerging prominent feature of the high‐resolution pre‐industrial simulation is the intermittent occurrence of polynyas in the Weddell Sea and its interaction with an Interdecadal Pacific Oscillation. Overall, high‐resolution simulations show significant improvements in representing global mean temperature changes, seasonal cycle of sea‐surface temperature and mixed layer depth, extreme events and in relationships between extreme events and climate modes.
Keywords