Preprints
https://doi.org/10.5194/gmd-2022-175
https://doi.org/10.5194/gmd-2022-175
Submitted as: development and technical paper
17 Aug 2022
Submitted as: development and technical paper | 17 Aug 2022

Combining Regional Mesh Refinement With Vertically Enhanced Physics to Target Marine Stratocumulus Biases

Peter A. Bogenschutz1, Hsiang-He Lee1, Qi Tang1, and Takanobu Yamaguchi2,3 Peter A. Bogenschutz et al.
  • 1Lawrence Livermore National Laboratory, Livermore, CA, USA
  • 2Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
  • 3NOAA Earth System Research Laboratories, Chemical Science Laboratory, Boulder, CO, USA

Abstract. In this paper we develop a novel framework aimed to significantly reduce biases related to marine stratocumulus clouds in general circulation models (GCMs) while circumventing excessive computational cost requirements. Our strategy is to increase the horizontal resolution using a regionally refined mesh (RRM) over our region of interest in addition to using the Framework for Improvement of Vertical Enhancement (FIVE) to increase the vertical resolution only for specific physical processes that are important for stratocumulus. We apply the RRM off the coast of Peru in the Southeast Pacific, a region that climatologically contains the most marine stratocumulus in the subtropics. We find that our new modeling framework is able to replicate the results of our high resolution benchmark simulation with much fidelity, while reducing the computational cost by several orders of magnitude. In addition, this framework is able to greatly reduce the longstanding biases associated with marine stratocmulus in GCMs when compared to the standard resolution control simulation.

Journal article(s) based on this preprint

Peter A. Bogenschutz et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2022-175', Astrid Kerkweg, 18 Aug 2022
    • AC1: 'Reply on CEC1', Peter Bogenschutz, 21 Nov 2022
  • RC1: 'Comment on gmd-2022-175', Anonymous Referee #1, 20 Sep 2022
    • AC2: 'Reply on RC1', Peter Bogenschutz, 21 Nov 2022
  • RC2: 'Comment on gmd-2022-175', Anonymous Referee #2, 01 Nov 2022
    • AC3: 'Reply on RC2', Peter Bogenschutz, 21 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Peter Bogenschutz on behalf of the Authors (01 Dec 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (14 Dec 2022) by Axel Lauer

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2022-175', Astrid Kerkweg, 18 Aug 2022
    • AC1: 'Reply on CEC1', Peter Bogenschutz, 21 Nov 2022
  • RC1: 'Comment on gmd-2022-175', Anonymous Referee #1, 20 Sep 2022
    • AC2: 'Reply on RC1', Peter Bogenschutz, 21 Nov 2022
  • RC2: 'Comment on gmd-2022-175', Anonymous Referee #2, 01 Nov 2022
    • AC3: 'Reply on RC2', Peter Bogenschutz, 21 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Peter Bogenschutz on behalf of the Authors (01 Dec 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (14 Dec 2022) by Axel Lauer

Journal article(s) based on this preprint

Peter A. Bogenschutz et al.

Peter A. Bogenschutz et al.

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Short summary
Models that are used to simulated and predict climate often have trouble representing specific cloud types, such as stratocumulus, that are particularly thin in the vertical direction. It has been found that increasing the model resolution can help improve this problem. In this paper we develop a novel framework that increases the horizontal and vertical resolution only for areas of the globe that contain stratocumulus, hence reducing model run-time while providing better results.