A method for transporting cloud-resolving model variance in a multiscale modeling framework
<p>An unphysical checkerboard pattern has recently been identified in the multiscale modeling framework configuration of the Energy Exascale Earth System Model (E3SM-MMF) that is hypothesized to be associated with the inability of large-scale dynamics to transport fluctuations within the embed...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-12-01
|
Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/15/8999/2022/gmd-15-8999-2022.pdf |
_version_ | 1797980682836770816 |
---|---|
author | W. Hannah K. Pressel |
author_facet | W. Hannah K. Pressel |
author_sort | W. Hannah |
collection | DOAJ |
description | <p>An unphysical checkerboard pattern has recently been identified in the multiscale modeling framework configuration of the Energy Exascale Earth System Model (E3SM-MMF) that is hypothesized to be associated with the inability of large-scale dynamics to transport fluctuations within the embedded cloud-resolving model (CRM) on the global grid. To address this issue, a method is presented to facilitate the large-scale transport of CRM variance in E3SM-MMF. Simulation results show that the method is effective at reducing the occurrence of unphysical checkerboard patterns on a range of timescales from days to years. This result is confirmed both subjectively through visual inspection and quantitatively with a previously developed
pattern categorization technique. The CRM variance transport does not significantly alter the model climate, although it does tend to reduce temporal variance on fields associated with convection on the global grid.</p> |
first_indexed | 2024-04-11T05:58:42Z |
format | Article |
id | doaj.art-862388833f814b49896a7e64986eaead |
institution | Directory Open Access Journal |
issn | 1991-959X 1991-9603 |
language | English |
last_indexed | 2024-04-11T05:58:42Z |
publishDate | 2022-12-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Geoscientific Model Development |
spelling | doaj.art-862388833f814b49896a7e64986eaead2022-12-22T04:41:49ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032022-12-01158999901310.5194/gmd-15-8999-2022A method for transporting cloud-resolving model variance in a multiscale modeling frameworkW. Hannah0K. Pressel1Lawrence Livermore National Laboratory, Livermore, CA, USAPacific Northwest National Laboratory, Richland, WA, USA<p>An unphysical checkerboard pattern has recently been identified in the multiscale modeling framework configuration of the Energy Exascale Earth System Model (E3SM-MMF) that is hypothesized to be associated with the inability of large-scale dynamics to transport fluctuations within the embedded cloud-resolving model (CRM) on the global grid. To address this issue, a method is presented to facilitate the large-scale transport of CRM variance in E3SM-MMF. Simulation results show that the method is effective at reducing the occurrence of unphysical checkerboard patterns on a range of timescales from days to years. This result is confirmed both subjectively through visual inspection and quantitatively with a previously developed pattern categorization technique. The CRM variance transport does not significantly alter the model climate, although it does tend to reduce temporal variance on fields associated with convection on the global grid.</p>https://gmd.copernicus.org/articles/15/8999/2022/gmd-15-8999-2022.pdf |
spellingShingle | W. Hannah K. Pressel A method for transporting cloud-resolving model variance in a multiscale modeling framework Geoscientific Model Development |
title | A method for transporting cloud-resolving model variance in a multiscale modeling framework |
title_full | A method for transporting cloud-resolving model variance in a multiscale modeling framework |
title_fullStr | A method for transporting cloud-resolving model variance in a multiscale modeling framework |
title_full_unstemmed | A method for transporting cloud-resolving model variance in a multiscale modeling framework |
title_short | A method for transporting cloud-resolving model variance in a multiscale modeling framework |
title_sort | method for transporting cloud resolving model variance in a multiscale modeling framework |
url | https://gmd.copernicus.org/articles/15/8999/2022/gmd-15-8999-2022.pdf |
work_keys_str_mv | AT whannah amethodfortransportingcloudresolvingmodelvarianceinamultiscalemodelingframework AT kpressel amethodfortransportingcloudresolvingmodelvarianceinamultiscalemodelingframework AT whannah methodfortransportingcloudresolvingmodelvarianceinamultiscalemodelingframework AT kpressel methodfortransportingcloudresolvingmodelvarianceinamultiscalemodelingframework |