Preprints
https://doi.org/10.5194/gmd-2022-248
https://doi.org/10.5194/gmd-2022-248
Submitted as: development and technical paper
17 Oct 2022
Submitted as: development and technical paper | 17 Oct 2022
Status: a revised version of this preprint is currently under review for the journal GMD.

Strategies for Conservative and Non-Conservative Monotone Remapping on the Sphere

David H. Marsico1 and Paul A. Ullrich2 David H. Marsico and Paul A. Ullrich
  • 1Department of Mathematics, University of California-Davis, Davis, CA 95616
  • 2Department of Land, Air and Water Resources, University of California-Davis, Davis, CA 95616

Abstract. Monotonicity is an important property of remapping operators for coupled weather and climate models. However, it is often challenging to design highly accurate operators that avoid the generation of new extrema or keep a remapped field between physically prescribed bounds. To that end, this paper explores several traditional and novel approaches for both conservative and non-conservative monotone remapping on the sphere. The accuracy and effectiveness of these algorithms are evaluated in the context of several different real and idealized fields and meshes.

David H. Marsico and Paul A. Ullrich

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-248', Colin Cotter, 11 Nov 2022
    • AC1: 'Reply on RC1', David Marsico, 20 Nov 2022
  • RC2: 'Comment on gmd-2022-248', Robert Oehmke, 18 Nov 2022
    • AC2: 'Reply on RC2', David Marsico, 23 Nov 2022
      • RC4: 'Reply on AC2', Robert Oehmke, 29 Nov 2022
  • RC3: 'Comment on gmd-2022-248', Anonymous Referee #3, 19 Nov 2022
    • AC3: 'Reply on RC3', David Marsico, 23 Nov 2022
      • RC5: 'Reply on AC3', Anonymous Referee #3, 04 Dec 2022
        • AC4: 'Reply on RC5', David Marsico, 16 Dec 2022

David H. Marsico and Paul A. Ullrich

Model code and software

tempestremap: v2.1.6 Ullrich, P. A., Vijay Mahadevan, Rajeev Jain, Mark Taylor, David Hall, Iulian Grindeanu, Walter Hannah, David Marsico, Matthew Thompson, Andrew Bradley, Jake Bolewski, Jason Sarich, Simon Byrne https://doi.org/10.5281/zenodo.7121451

David H. Marsico and Paul A. Ullrich

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Short summary
Climate models involve several different components, such as the atmosphere, ocean, and land models. Information needs to be exchanged, or remapped, between these models, and devising algorithms for performing this exchange is important for ensuring the accuracy of climate simulations. In this paper, we examine the efficacy of several traditional and novel approaches to remapping on the sphere and demonstrate where our approaches offer improvement.