A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region
We compare the consistency between eight reanalyses: CERA20C, ERA5, ERA-Interim, ERA20C, NCEP-DOE, MERRA2, JRA55, and 20CRV2c. This comparison uses daily surface winds near Antarctica to classify synoptic patterns using the self-organizing map technique. The relative frequency of occurrence (RFO) of...
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American Geophysical Union (AGU)
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Online Access: | https://hdl.handle.net/10092/102367 https://doi.org/10.1029/2019EA000794 |
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ftunivcanter:oai:ir.canterbury.ac.nz:10092/102367 2023-05-15T13:49:25+02:00 A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region Cairns LH McDonald, Adrian 2021-07-04T05:18:53Z application/pdf https://hdl.handle.net/10092/102367 https://doi.org/10.1029/2019EA000794 en eng American Geophysical Union (AGU) McDonald AJ, Cairns LH (2020). A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region. Earth and Space Science. 7(1). 2333-5084 https://hdl.handle.net/10092/102367 http://doi.org/10.1029/2019EA000794 All rights reserved unless otherwise stated http://hdl.handle.net/10092/17651 Fields of Research::37 - Earth sciences::3701 - Atmospheric sciences::370108 - Meteorology Fields of Research::37 - Earth sciences::3701 - Atmospheric sciences::370105 - Atmospheric dynamics Journal Article 2021 ftunivcanter https://doi.org/10.1029/2019EA000794 2022-09-08T13:34:37Z We compare the consistency between eight reanalyses: CERA20C, ERA5, ERA-Interim, ERA20C, NCEP-DOE, MERRA2, JRA55, and 20CRV2c. This comparison uses daily surface winds near Antarctica to classify synoptic patterns using the self-organizing map technique. The relative frequency of occurrence (RFO) of these patterns are very similar during the satellite era in each reanalysis. The three most common patterns are the same in each reanalysis and changes between the reanalyses only display a 12% relative variation. Examination of the RFOs over time highlights that the CERA20C and 20CRV2c reanalyses display large changes previous to 1957. These changes are likely connected to model relaxation toward their climatology because of a lack of observational constraints. Primarily, we introduce the entropy coefficient (U) which quantifies the consistency between reanalyses in their representation of synoptic patterns. Examination of U shows current reanalyses (ERA5, ERA-Interim, JRA55, and MERRA2) are highly consistent in the satellite era likely due to good observational coverage. However, centennial reanalyses (CERA20C, ERA20C, and 20CRV2c) show two upward step changes in consistency as measured by U at around 1957 and to a lesser extent 1979. Low values of U before 1957 suggest that centennial reanalyses are of limited use before this date, but may be useful after 1957 in this region. We also show that the entropy coefficient displays an inverse relationship with ensemble spread metrics of individual reanalyses. We conclude that the entropy coefficient provides a powerful quantification of the influence of changes in observation density on reanalysis quality in data sparse regions. Article in Journal/Newspaper Antarc* Antarctica Ice Shelf Ross Ice Shelf Ross Sea University of Canterbury, Christchurch: UC Research Repository Ross Ice Shelf Ross Sea Earth and Space Science 7 1 |
institution |
Open Polar |
collection |
University of Canterbury, Christchurch: UC Research Repository |
op_collection_id |
ftunivcanter |
language |
English |
topic |
Fields of Research::37 - Earth sciences::3701 - Atmospheric sciences::370108 - Meteorology Fields of Research::37 - Earth sciences::3701 - Atmospheric sciences::370105 - Atmospheric dynamics |
spellingShingle |
Fields of Research::37 - Earth sciences::3701 - Atmospheric sciences::370108 - Meteorology Fields of Research::37 - Earth sciences::3701 - Atmospheric sciences::370105 - Atmospheric dynamics Cairns LH McDonald, Adrian A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region |
topic_facet |
Fields of Research::37 - Earth sciences::3701 - Atmospheric sciences::370108 - Meteorology Fields of Research::37 - Earth sciences::3701 - Atmospheric sciences::370105 - Atmospheric dynamics |
description |
We compare the consistency between eight reanalyses: CERA20C, ERA5, ERA-Interim, ERA20C, NCEP-DOE, MERRA2, JRA55, and 20CRV2c. This comparison uses daily surface winds near Antarctica to classify synoptic patterns using the self-organizing map technique. The relative frequency of occurrence (RFO) of these patterns are very similar during the satellite era in each reanalysis. The three most common patterns are the same in each reanalysis and changes between the reanalyses only display a 12% relative variation. Examination of the RFOs over time highlights that the CERA20C and 20CRV2c reanalyses display large changes previous to 1957. These changes are likely connected to model relaxation toward their climatology because of a lack of observational constraints. Primarily, we introduce the entropy coefficient (U) which quantifies the consistency between reanalyses in their representation of synoptic patterns. Examination of U shows current reanalyses (ERA5, ERA-Interim, JRA55, and MERRA2) are highly consistent in the satellite era likely due to good observational coverage. However, centennial reanalyses (CERA20C, ERA20C, and 20CRV2c) show two upward step changes in consistency as measured by U at around 1957 and to a lesser extent 1979. Low values of U before 1957 suggest that centennial reanalyses are of limited use before this date, but may be useful after 1957 in this region. We also show that the entropy coefficient displays an inverse relationship with ensemble spread metrics of individual reanalyses. We conclude that the entropy coefficient provides a powerful quantification of the influence of changes in observation density on reanalysis quality in data sparse regions. |
format |
Article in Journal/Newspaper |
author |
Cairns LH McDonald, Adrian |
author_facet |
Cairns LH McDonald, Adrian |
author_sort |
Cairns LH |
title |
A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region |
title_short |
A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region |
title_full |
A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region |
title_fullStr |
A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region |
title_full_unstemmed |
A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region |
title_sort |
new method to evaluate reanalyses using synoptic patterns: an example application in the ross sea/ross ice shelf region |
publisher |
American Geophysical Union (AGU) |
publishDate |
2021 |
url |
https://hdl.handle.net/10092/102367 https://doi.org/10.1029/2019EA000794 |
geographic |
Ross Ice Shelf Ross Sea |
geographic_facet |
Ross Ice Shelf Ross Sea |
genre |
Antarc* Antarctica Ice Shelf Ross Ice Shelf Ross Sea |
genre_facet |
Antarc* Antarctica Ice Shelf Ross Ice Shelf Ross Sea |
op_relation |
McDonald AJ, Cairns LH (2020). A New Method to Evaluate Reanalyses Using Synoptic Patterns: An Example Application in the Ross Sea/Ross Ice Shelf Region. Earth and Space Science. 7(1). 2333-5084 https://hdl.handle.net/10092/102367 http://doi.org/10.1029/2019EA000794 |
op_rights |
All rights reserved unless otherwise stated http://hdl.handle.net/10092/17651 |
op_doi |
https://doi.org/10.1029/2019EA000794 |
container_title |
Earth and Space Science |
container_volume |
7 |
container_issue |
1 |
_version_ |
1766251335658766336 |