An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2
<p>Global tropospheric ozone reanalyses constructed using different state-of-the-art satellite data assimilation systems, prepared as part of the Copernicus Atmosphere Monitoring Service (CAMS-iRean and CAMS-Rean) as well as two fully independent reanalyses (TCR-1 and TCR-2, Tropospheric Chemi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-03-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://www.geosci-model-dev.net/13/1513/2020/gmd-13-1513-2020.pdf |
| _version_ | 1828894401389133824 |
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| author | V. Huijnen K. Miyazaki J. Flemming A. Inness T. Sekiya M. G. Schultz |
| author_facet | V. Huijnen K. Miyazaki J. Flemming A. Inness T. Sekiya M. G. Schultz |
| author_sort | V. Huijnen |
| collection | DOAJ |
| description | <p>Global tropospheric ozone reanalyses constructed using different state-of-the-art satellite data assimilation systems, prepared as part of the
Copernicus Atmosphere Monitoring Service (CAMS-iRean and CAMS-Rean) as well as two fully independent reanalyses (TCR-1 and
TCR-2, Tropospheric Chemistry Reanalysis), have been intercompared and evaluated for the past decade. The updated reanalyses (CAMS-Rean and TCR-2) generally show substantially
improved agreements with independent ground and ozone-sonde observations over their predecessor versions (CAMS-iRean and TCR-1) for diurnal,
synoptical, seasonal, and interannual variabilities. For instance, for the Northern Hemisphere (NH) mid-latitudes the tropospheric ozone columns (surface to
300 <span class="inline-formula">hPa</span>) from the updated reanalyses show mean biases to within 0.8 <span class="inline-formula">DU</span> (Dobson units, 3 % relative to the observed column) with respect to the
ozone-sonde observations. The improved performance can likely be attributed to a mixture of various upgrades, such as revisions in the chemical data
assimilation, including the assimilated measurements, and the forecast model performance. The updated chemical reanalyses agree well with each other
for most cases, which highlights the usefulness of the current chemical reanalyses in a variety of studies. Meanwhile, significant temporal changes
in the reanalysis quality in all the systems can be attributed to discontinuities in the observing systems. To improve the temporal consistency,
a careful assessment of changes in the assimilation configuration, such as a detailed assessment of biases between various retrieval products, is
needed. Our comparison suggests that improving the observational constraints, including the continued development of satellite observing systems,
together with the optimization of model parameterizations such as deposition and chemical reactions, will lead to increasingly consistent long-term
reanalyses in the future.</p> |
| first_indexed | 2024-12-13T14:10:46Z |
| format | Article |
| id | doaj.art-0e91eba89480417493699149c0cbb229 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-12-13T14:10:46Z |
| publishDate | 2020-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-0e91eba89480417493699149c0cbb2292022-12-21T23:42:28ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032020-03-01131513154410.5194/gmd-13-1513-2020An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2V. Huijnen0K. Miyazaki1J. Flemming2A. Inness3T. Sekiya4M. G. Schultz5Royal Netherlands Meteorological Institute, De Bilt, the NetherlandsJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USAECMWF, Shinfield Park, Reading, RG2 9AX, UKECMWF, Shinfield Park, Reading, RG2 9AX, UKResearch Institute for Global Change (RIGC), Japan Agency for Marine–Earth Science and Technology (JAMSTEC), Yokohama 2360001, JapanJülich Supercomputing Centre, Forschungszentrum Jülich, Jülich, Germany<p>Global tropospheric ozone reanalyses constructed using different state-of-the-art satellite data assimilation systems, prepared as part of the Copernicus Atmosphere Monitoring Service (CAMS-iRean and CAMS-Rean) as well as two fully independent reanalyses (TCR-1 and TCR-2, Tropospheric Chemistry Reanalysis), have been intercompared and evaluated for the past decade. The updated reanalyses (CAMS-Rean and TCR-2) generally show substantially improved agreements with independent ground and ozone-sonde observations over their predecessor versions (CAMS-iRean and TCR-1) for diurnal, synoptical, seasonal, and interannual variabilities. For instance, for the Northern Hemisphere (NH) mid-latitudes the tropospheric ozone columns (surface to 300 <span class="inline-formula">hPa</span>) from the updated reanalyses show mean biases to within 0.8 <span class="inline-formula">DU</span> (Dobson units, 3 % relative to the observed column) with respect to the ozone-sonde observations. The improved performance can likely be attributed to a mixture of various upgrades, such as revisions in the chemical data assimilation, including the assimilated measurements, and the forecast model performance. The updated chemical reanalyses agree well with each other for most cases, which highlights the usefulness of the current chemical reanalyses in a variety of studies. Meanwhile, significant temporal changes in the reanalysis quality in all the systems can be attributed to discontinuities in the observing systems. To improve the temporal consistency, a careful assessment of changes in the assimilation configuration, such as a detailed assessment of biases between various retrieval products, is needed. Our comparison suggests that improving the observational constraints, including the continued development of satellite observing systems, together with the optimization of model parameterizations such as deposition and chemical reactions, will lead to increasingly consistent long-term reanalyses in the future.</p>https://www.geosci-model-dev.net/13/1513/2020/gmd-13-1513-2020.pdf |
| spellingShingle | V. Huijnen K. Miyazaki J. Flemming A. Inness T. Sekiya M. G. Schultz An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 Geoscientific Model Development |
| title | An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 |
| title_full | An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 |
| title_fullStr | An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 |
| title_full_unstemmed | An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 |
| title_short | An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 |
| title_sort | intercomparison of tropospheric ozone reanalysis products from cams cams interim tcr 1 and tcr 2 |
| url | https://www.geosci-model-dev.net/13/1513/2020/gmd-13-1513-2020.pdf |
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