Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses
<p>The inter-dataset agreement of trends in subweekly near-surface (850 hPa) temperature variability over Southern Hemisphere midlatitude land masses is assessed among 12 global atmospheric reanalysis datasets. A comparison of the climatological temperature variance and dominant sources and si...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-01-01
|
| Series: | Weather and Climate Dynamics |
| Online Access: | https://wcd.copernicus.org/articles/5/1/2024/wcd-5-1-2024.pdf |
| _version_ | 1797359386426867712 |
|---|---|
| author | P. Martineau S. K. Behera M. Nonaka H. Nakamura H. Nakamura Y. Kosaka |
| author_facet | P. Martineau S. K. Behera M. Nonaka H. Nakamura H. Nakamura Y. Kosaka |
| author_sort | P. Martineau |
| collection | DOAJ |
| description | <p>The inter-dataset agreement of trends in subweekly near-surface (850 hPa) temperature variability over Southern Hemisphere midlatitude land masses is assessed among 12 global atmospheric reanalysis datasets. A comparison of the climatological temperature variance and dominant sources and sinks of the variance reveals that, except for NCEP-NCAR (R1) and NCEP-DOE (R2), there is a relatively good agreement for their magnitudes and spatial distributions during the satellite era (1980–2022), which indicates that the key features of subweekly variability are sufficiently well represented. A good agreement is noted for the positive trends found in subweekly variability over the satellite era affecting South Africa in September–October–November (SON) and South America in December–January–February (DJF). Although there is agreement in most of the reanalyses concerning the positive trend affecting Australia in SON, this has not yet emerged from the noise associated with interannual variability when considering only the satellite era. It is significant, however, when the period is extended (1954–2022) or limited to the most recent decades (1990–2022). The trends are explained primarily by a more efficient generation of subweekly temperature variance by horizontal temperature advection. This generation is also identified as a source of biases among the datasets. The trends are found to be reproduced even in those reanalyses that do not assimilate satellite data (JRA-55C) or that assimilate surface observations only (ERA-20C, 20CRv2c, and 20CRv3).</p> |
| first_indexed | 2024-03-08T15:16:49Z |
| format | Article |
| id | doaj.art-fe38f3671c66443195909a4317de3ddc |
| institution | Directory Open Access Journal |
| issn | 2698-4016 |
| language | English |
| last_indexed | 2024-03-08T15:16:49Z |
| publishDate | 2024-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Weather and Climate Dynamics |
| spelling | doaj.art-fe38f3671c66443195909a4317de3ddc2024-01-10T11:30:11ZengCopernicus PublicationsWeather and Climate Dynamics2698-40162024-01-01511510.5194/wcd-5-1-2024Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalysesP. Martineau0S. K. Behera1M. Nonaka2H. Nakamura3H. Nakamura4Y. Kosaka5Japan Agency for Marine-Earth Science and Technology, Yokohama, JapanJapan Agency for Marine-Earth Science and Technology, Yokohama, JapanJapan Agency for Marine-Earth Science and Technology, Yokohama, JapanJapan Agency for Marine-Earth Science and Technology, Yokohama, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo, JapanResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan<p>The inter-dataset agreement of trends in subweekly near-surface (850 hPa) temperature variability over Southern Hemisphere midlatitude land masses is assessed among 12 global atmospheric reanalysis datasets. A comparison of the climatological temperature variance and dominant sources and sinks of the variance reveals that, except for NCEP-NCAR (R1) and NCEP-DOE (R2), there is a relatively good agreement for their magnitudes and spatial distributions during the satellite era (1980–2022), which indicates that the key features of subweekly variability are sufficiently well represented. A good agreement is noted for the positive trends found in subweekly variability over the satellite era affecting South Africa in September–October–November (SON) and South America in December–January–February (DJF). Although there is agreement in most of the reanalyses concerning the positive trend affecting Australia in SON, this has not yet emerged from the noise associated with interannual variability when considering only the satellite era. It is significant, however, when the period is extended (1954–2022) or limited to the most recent decades (1990–2022). The trends are explained primarily by a more efficient generation of subweekly temperature variance by horizontal temperature advection. This generation is also identified as a source of biases among the datasets. The trends are found to be reproduced even in those reanalyses that do not assimilate satellite data (JRA-55C) or that assimilate surface observations only (ERA-20C, 20CRv2c, and 20CRv3).</p>https://wcd.copernicus.org/articles/5/1/2024/wcd-5-1-2024.pdf |
| spellingShingle | P. Martineau S. K. Behera M. Nonaka H. Nakamura H. Nakamura Y. Kosaka Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses Weather and Climate Dynamics |
| title | Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses |
| title_full | Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses |
| title_fullStr | Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses |
| title_full_unstemmed | Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses |
| title_short | Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses |
| title_sort | seasonally dependent increases in subweekly temperature variability over southern hemisphere landmasses detected in multiple reanalyses |
| url | https://wcd.copernicus.org/articles/5/1/2024/wcd-5-1-2024.pdf |
| work_keys_str_mv | AT pmartineau seasonallydependentincreasesinsubweeklytemperaturevariabilityoversouthernhemispherelandmassesdetectedinmultiplereanalyses AT skbehera seasonallydependentincreasesinsubweeklytemperaturevariabilityoversouthernhemispherelandmassesdetectedinmultiplereanalyses AT mnonaka seasonallydependentincreasesinsubweeklytemperaturevariabilityoversouthernhemispherelandmassesdetectedinmultiplereanalyses AT hnakamura seasonallydependentincreasesinsubweeklytemperaturevariabilityoversouthernhemispherelandmassesdetectedinmultiplereanalyses AT hnakamura seasonallydependentincreasesinsubweeklytemperaturevariabilityoversouthernhemispherelandmassesdetectedinmultiplereanalyses AT ykosaka seasonallydependentincreasesinsubweeklytemperaturevariabilityoversouthernhemispherelandmassesdetectedinmultiplereanalyses |