Uncertainties of Estimates of Inertia-Gravity Energy in the Atmosphere. Part I: Intercomparison of Four Analysis Systems
This paper presents the application of the normal-mode functions to diagnose the atmospheric energy spectra in terms of balanced and inertia–gravity (IG) contributions. A set of three-dimensional orthogonal normal modes is applied to four analysis datasets from July 2007. The datasets are the operat...
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Veröffentlicht in: | Monthly weather review 2009-11, Vol.137 (11), p.3837-3857 |
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description | This paper presents the application of the normal-mode functions to diagnose the atmospheric energy spectra in terms of balanced and inertia–gravity (IG) contributions. A set of three-dimensional orthogonal normal modes is applied to four analysis datasets from July 2007. The datasets are the operational analysis systems of NCEP and ECMWF, the NCEP–NCAR reanalyses, and the Data Assimilation Research Testbed–Community Atmospheric Model (DART–CAM), an ensemble analysis system developed at NCAR. The differences between the datasets can be considered as a measure of uncertainty of the IG contribution to the global energetics.
The results show that the percentage of IG motion in the present NCEP, ECMWF, and DART–CAM analysis systems is between 1% and 2% of the total energy field. In the wave part of the flow (zonal wavenumber k ≠ 0), the IG energy contribution is between 9% and 15%. On the contrary, the NCEP–NCAR reanalyses contain more IG motion, especially in the Southern Hemisphere extratropics. Each analysis contains more energy in the eastward IG motion than in its westward counterpart. The difference is about 2%–3% of the total wave energy and it is associated with the motions projected onto the Kelvin wave in the tropics.
The selected truncation parameters of the expansion (zonal, meridional, and vertical truncation) ensure that the projection provides the optimal fit to the input data on model levels. This approach is different from previous applications of the normal modes and under the linearity assumption it allows the application of the inverse projection to obtain details of circulation associated with a selected type of motion. The bulk of the IG motion is confined to the tropics. For the successful reproduction of three-dimensional circulations by the normal modes it is important that the expansion includes a number of vertical modes. |
doi_str_mv | 10.1175/2009MWR2815.1 |
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The results show that the percentage of IG motion in the present NCEP, ECMWF, and DART–CAM analysis systems is between 1% and 2% of the total energy field. In the wave part of the flow (zonal wavenumber k ≠ 0), the IG energy contribution is between 9% and 15%. On the contrary, the NCEP–NCAR reanalyses contain more IG motion, especially in the Southern Hemisphere extratropics. Each analysis contains more energy in the eastward IG motion than in its westward counterpart. The difference is about 2%–3% of the total wave energy and it is associated with the motions projected onto the Kelvin wave in the tropics.
The selected truncation parameters of the expansion (zonal, meridional, and vertical truncation) ensure that the projection provides the optimal fit to the input data on model levels. This approach is different from previous applications of the normal modes and under the linearity assumption it allows the application of the inverse projection to obtain details of circulation associated with a selected type of motion. The bulk of the IG motion is confined to the tropics. For the successful reproduction of three-dimensional circulations by the normal modes it is important that the expansion includes a number of vertical modes.</description><identifier>ISSN: 0027-0644</identifier><identifier>EISSN: 1520-0493</identifier><identifier>DOI: 10.1175/2009MWR2815.1</identifier><identifier>CODEN: MWREAB</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Analysis ; Atmosphere ; Atmospheric models ; Data assimilation ; Data collection ; Datasets ; Dimensional analysis ; Earth, ocean, space ; Energy ; Energy spectra ; Estimates ; Exact sciences and technology ; External geophysics ; Gravity ; Gravity waves ; Immunoglobulins ; Inertia ; Intercomparison ; Kelvin waves ; Meteorology ; Modes ; Movement ; Southern Hemisphere ; Systems analysis ; Tropical environments ; Uncertainty ; Wave energy ; Wavelengths</subject><ispartof>Monthly weather review, 2009-11, Vol.137 (11), p.3837-3857</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright American Meteorological Society Nov 2009</rights><rights>Copyright American Meteorological Society 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-e5b7ec36ee76ada71ed5065620a92afbc153ad674b257ea022175b509b90c1643</citedby><cites>FETCH-LOGICAL-c423t-e5b7ec36ee76ada71ed5065620a92afbc153ad674b257ea022175b509b90c1643</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3668,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22162044$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>ZAGAR, N</creatorcontrib><creatorcontrib>TRIBBIA, J</creatorcontrib><creatorcontrib>ANDERSON, J. L</creatorcontrib><creatorcontrib>RAEDER, K</creatorcontrib><title>Uncertainties of Estimates of Inertia-Gravity Energy in the Atmosphere. Part I: Intercomparison of Four Analysis Systems</title><title>Monthly weather review</title><description>This paper presents the application of the normal-mode functions to diagnose the atmospheric energy spectra in terms of balanced and inertia–gravity (IG) contributions. A set of three-dimensional orthogonal normal modes is applied to four analysis datasets from July 2007. The datasets are the operational analysis systems of NCEP and ECMWF, the NCEP–NCAR reanalyses, and the Data Assimilation Research Testbed–Community Atmospheric Model (DART–CAM), an ensemble analysis system developed at NCAR. The differences between the datasets can be considered as a measure of uncertainty of the IG contribution to the global energetics.
The results show that the percentage of IG motion in the present NCEP, ECMWF, and DART–CAM analysis systems is between 1% and 2% of the total energy field. In the wave part of the flow (zonal wavenumber k ≠ 0), the IG energy contribution is between 9% and 15%. On the contrary, the NCEP–NCAR reanalyses contain more IG motion, especially in the Southern Hemisphere extratropics. Each analysis contains more energy in the eastward IG motion than in its westward counterpart. The difference is about 2%–3% of the total wave energy and it is associated with the motions projected onto the Kelvin wave in the tropics.
The selected truncation parameters of the expansion (zonal, meridional, and vertical truncation) ensure that the projection provides the optimal fit to the input data on model levels. This approach is different from previous applications of the normal modes and under the linearity assumption it allows the application of the inverse projection to obtain details of circulation associated with a selected type of motion. The bulk of the IG motion is confined to the tropics. For the successful reproduction of three-dimensional circulations by the normal modes it is important that the expansion includes a number of vertical modes.</description><subject>Analysis</subject><subject>Atmosphere</subject><subject>Atmospheric models</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Datasets</subject><subject>Dimensional analysis</subject><subject>Earth, ocean, space</subject><subject>Energy</subject><subject>Energy spectra</subject><subject>Estimates</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Gravity</subject><subject>Gravity waves</subject><subject>Immunoglobulins</subject><subject>Inertia</subject><subject>Intercomparison</subject><subject>Kelvin waves</subject><subject>Meteorology</subject><subject>Modes</subject><subject>Movement</subject><subject>Southern Hemisphere</subject><subject>Systems analysis</subject><subject>Tropical environments</subject><subject>Uncertainty</subject><subject>Wave energy</subject><subject>Wavelengths</subject><issn>0027-0644</issn><issn>1520-0493</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkc1rFEEQxRtRcI0evTeK3mat_p72toRNshBJUIPHoae3x3SYj7WrVzL_fXrZIEEQT0VRv3rUe0XIWwZLxoz6xAHslx9fec3Ukj0jC6Y4VCCteE4WANxUoKV8SV4h3gGA1pIvyP3N6EPKLo45BqRTR9eY4-DysdmMZRhddZ7c75hnui79z5nGkebbQFd5mHB3G1JY0muXMt18Lhs5JD8NO5ciTuNB5GzaJ7oaXT9jRPptxhwGfE1edK7H8OaxnpCbs_X304vq8up8c7q6rLzkIldBtSZ4oUMw2m2dYWGrQCvNwVnuutYzJdxWG9lyZYIDzksSrQLbWvBMS3FCPh51d2n6tQ-YmyGiD33vxjDtsRG6BCRr9l-QM2aZsKqA7_8C74rBYq8wNTdc1lrzQr37F8VsDYYJYQtUHSGfJsQUumaXSvhpbhg0h582T37aHG788Cjq0Lu-S270Ef8sFfMlGCnFA6kioBE</recordid><startdate>20091101</startdate><enddate>20091101</enddate><creator>ZAGAR, N</creator><creator>TRIBBIA, J</creator><creator>ANDERSON, J. 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L</au><au>RAEDER, K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Uncertainties of Estimates of Inertia-Gravity Energy in the Atmosphere. Part I: Intercomparison of Four Analysis Systems</atitle><jtitle>Monthly weather review</jtitle><date>2009-11-01</date><risdate>2009</risdate><volume>137</volume><issue>11</issue><spage>3837</spage><epage>3857</epage><pages>3837-3857</pages><issn>0027-0644</issn><eissn>1520-0493</eissn><coden>MWREAB</coden><abstract>This paper presents the application of the normal-mode functions to diagnose the atmospheric energy spectra in terms of balanced and inertia–gravity (IG) contributions. A set of three-dimensional orthogonal normal modes is applied to four analysis datasets from July 2007. The datasets are the operational analysis systems of NCEP and ECMWF, the NCEP–NCAR reanalyses, and the Data Assimilation Research Testbed–Community Atmospheric Model (DART–CAM), an ensemble analysis system developed at NCAR. The differences between the datasets can be considered as a measure of uncertainty of the IG contribution to the global energetics.
The results show that the percentage of IG motion in the present NCEP, ECMWF, and DART–CAM analysis systems is between 1% and 2% of the total energy field. In the wave part of the flow (zonal wavenumber k ≠ 0), the IG energy contribution is between 9% and 15%. On the contrary, the NCEP–NCAR reanalyses contain more IG motion, especially in the Southern Hemisphere extratropics. Each analysis contains more energy in the eastward IG motion than in its westward counterpart. The difference is about 2%–3% of the total wave energy and it is associated with the motions projected onto the Kelvin wave in the tropics.
The selected truncation parameters of the expansion (zonal, meridional, and vertical truncation) ensure that the projection provides the optimal fit to the input data on model levels. This approach is different from previous applications of the normal modes and under the linearity assumption it allows the application of the inverse projection to obtain details of circulation associated with a selected type of motion. The bulk of the IG motion is confined to the tropics. For the successful reproduction of three-dimensional circulations by the normal modes it is important that the expansion includes a number of vertical modes.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/2009MWR2815.1</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Atmosphere Atmospheric models Data assimilation Data collection Datasets Dimensional analysis Earth, ocean, space Energy Energy spectra Estimates Exact sciences and technology External geophysics Gravity Gravity waves Immunoglobulins Inertia Intercomparison Kelvin waves Meteorology Modes Movement Southern Hemisphere Systems analysis Tropical environments Uncertainty Wave energy Wavelengths |
title | Uncertainties of Estimates of Inertia-Gravity Energy in the Atmosphere. Part I: Intercomparison of Four Analysis Systems |
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