Multiscale analysis of precipitable water vapor over Africa from GPS data and ECMWF analyses
This is the first climatological analysis of precipitable water vapor (PWV) from GPS data over Africa. The data reveal significant modulations and variability in PWV over a broad range of temporal scales. GPS PWV estimates are compared to ECMWF reanalysis ERA40. Both datasets show good agreement at...
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| Veröffentlicht in: | Geophysical research letters 2007-05, Vol.34 (9), p.n/a |
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| creator | Bock, O. Guichard, F. Janicot, S. Lafore, J. P. Bouin, M.-N. Sultan, B. |
| description | This is the first climatological analysis of precipitable water vapor (PWV) from GPS data over Africa. The data reveal significant modulations and variability in PWV over a broad range of temporal scales. GPS PWV estimates are compared to ECMWF reanalysis ERA40. Both datasets show good agreement at the larger scales (seasonal cycle and inter‐annual variability), driven by large scale moisture transport. At intra‐seasonal (15–40 days) and synoptic (3–10 days) scales, strong PWV modulations are observed from GPS, consistently with ECMWF analysis. They are shown to be correlated with convection and the passage of equatorial waves and African Easterly waves. The high‐frequency GPS observations also reveal a significant diurnal cycle in PWV, which magnitude and spectral content depends strongly on geographic location and shows a seasonal modulation. The diurnal cycle of PWV is poorly represented in ERA40 reflecting weaknesses in the water cycle of global circulation models at this timescale. |
| doi_str_mv | 10.1029/2006GL028039 |
| format | Article |
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P. ; Bouin, M.-N. ; Sultan, B.</creator><creatorcontrib>Bock, O. ; Guichard, F. ; Janicot, S. ; Lafore, J. P. ; Bouin, M.-N. ; Sultan, B.</creatorcontrib><description>This is the first climatological analysis of precipitable water vapor (PWV) from GPS data over Africa. The data reveal significant modulations and variability in PWV over a broad range of temporal scales. GPS PWV estimates are compared to ECMWF reanalysis ERA40. Both datasets show good agreement at the larger scales (seasonal cycle and inter‐annual variability), driven by large scale moisture transport. At intra‐seasonal (15–40 days) and synoptic (3–10 days) scales, strong PWV modulations are observed from GPS, consistently with ECMWF analysis. They are shown to be correlated with convection and the passage of equatorial waves and African Easterly waves. The high‐frequency GPS observations also reveal a significant diurnal cycle in PWV, which magnitude and spectral content depends strongly on geographic location and shows a seasonal modulation. The diurnal cycle of PWV is poorly represented in ERA40 reflecting weaknesses in the water cycle of global circulation models at this timescale.</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2006GL028039</identifier><identifier>CODEN: GPRLAJ</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>Atmospheric and Oceanic Physics ; atmospheric dynamics ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; general circulation model ; Mars ; Physics</subject><ispartof>Geophysical research letters, 2007-05, Vol.34 (9), p.n/a</ispartof><rights>Copyright 2007 by the American Geophysical Union.</rights><rights>2007 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4494-c8c4b0395228bb9b17f994aa5b1804bc9296c8e2fc533b9e440c9d2a5e3617523</citedby><cites>FETCH-LOGICAL-c4494-c8c4b0395228bb9b17f994aa5b1804bc9296c8e2fc533b9e440c9d2a5e3617523</cites><orcidid>0000-0002-0437-6561 ; 0000-0003-0416-0338 ; 0000-0001-5980-938X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2006GL028039$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2006GL028039$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,11493,27901,27902,45550,45551,46384,46443,46808,46867</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18822741$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00150346$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Bock, O.</creatorcontrib><creatorcontrib>Guichard, F.</creatorcontrib><creatorcontrib>Janicot, S.</creatorcontrib><creatorcontrib>Lafore, J. P.</creatorcontrib><creatorcontrib>Bouin, M.-N.</creatorcontrib><creatorcontrib>Sultan, B.</creatorcontrib><title>Multiscale analysis of precipitable water vapor over Africa from GPS data and ECMWF analyses</title><title>Geophysical research letters</title><addtitle>Geophys. Res. Lett</addtitle><description>This is the first climatological analysis of precipitable water vapor (PWV) from GPS data over Africa. The data reveal significant modulations and variability in PWV over a broad range of temporal scales. GPS PWV estimates are compared to ECMWF reanalysis ERA40. Both datasets show good agreement at the larger scales (seasonal cycle and inter‐annual variability), driven by large scale moisture transport. At intra‐seasonal (15–40 days) and synoptic (3–10 days) scales, strong PWV modulations are observed from GPS, consistently with ECMWF analysis. They are shown to be correlated with convection and the passage of equatorial waves and African Easterly waves. The high‐frequency GPS observations also reveal a significant diurnal cycle in PWV, which magnitude and spectral content depends strongly on geographic location and shows a seasonal modulation. The diurnal cycle of PWV is poorly represented in ERA40 reflecting weaknesses in the water cycle of global circulation models at this timescale.</description><subject>Atmospheric and Oceanic Physics</subject><subject>atmospheric dynamics</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>general circulation model</subject><subject>Mars</subject><subject>Physics</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNp9kEuv0zAQhS3ElSi97PgB3oCERLnjRx5eluo2RTctiIfKAsmauI4wpE2w05b-e1ylKqxYeeQ535mZQ8hzBm8YcHXHAdKiBJ6DUI_IiCkpJzlA9piMAFSseZY-IU9D-AEAAgQbkW_LfdO7YLCxFHfYnIILtK1p561xneuxio0j9tbTA3atp-0hltPaO4O09u2WFh8-0Q32GPENvZ8t1_OLkQ235KbGJthnl3dMvszvP88Wk_J98W42LSdGyriWyY2s4soJ53lVqYpltVISMalYDrIyiqvU5JbXJhGiUlZKMGrDMbEiZVnCxZi8Gny_Y6M777boT7pFpxfTUp__AFgCQqYHFrUvB23n2197G3q9jefbpsGdbfdBcxBJpuKgMXk9CI1vQ_C2vjoz0Oe49b9xR_mLiy-e06w97owLf5k85zyT5_l80B1dY0__9dTFx5JzCTJCkwFyobe_rxD6nzrNRJbo9arQX8WqVA9vS70WfwBRkpqp</recordid><startdate>20070516</startdate><enddate>20070516</enddate><creator>Bock, O.</creator><creator>Guichard, F.</creator><creator>Janicot, S.</creator><creator>Lafore, J. P.</creator><creator>Bouin, M.-N.</creator><creator>Sultan, B.</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-0437-6561</orcidid><orcidid>https://orcid.org/0000-0003-0416-0338</orcidid><orcidid>https://orcid.org/0000-0001-5980-938X</orcidid></search><sort><creationdate>20070516</creationdate><title>Multiscale analysis of precipitable water vapor over Africa from GPS data and ECMWF analyses</title><author>Bock, O. ; Guichard, F. ; Janicot, S. ; Lafore, J. P. ; Bouin, M.-N. ; Sultan, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4494-c8c4b0395228bb9b17f994aa5b1804bc9296c8e2fc533b9e440c9d2a5e3617523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Atmospheric and Oceanic Physics</topic><topic>atmospheric dynamics</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>general circulation model</topic><topic>Mars</topic><topic>Physics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bock, O.</creatorcontrib><creatorcontrib>Guichard, F.</creatorcontrib><creatorcontrib>Janicot, S.</creatorcontrib><creatorcontrib>Lafore, J. P.</creatorcontrib><creatorcontrib>Bouin, M.-N.</creatorcontrib><creatorcontrib>Sultan, B.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bock, O.</au><au>Guichard, F.</au><au>Janicot, S.</au><au>Lafore, J. P.</au><au>Bouin, M.-N.</au><au>Sultan, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiscale analysis of precipitable water vapor over Africa from GPS data and ECMWF analyses</atitle><jtitle>Geophysical research letters</jtitle><addtitle>Geophys. Res. Lett</addtitle><date>2007-05-16</date><risdate>2007</risdate><volume>34</volume><issue>9</issue><epage>n/a</epage><issn>0094-8276</issn><eissn>1944-8007</eissn><coden>GPRLAJ</coden><abstract>This is the first climatological analysis of precipitable water vapor (PWV) from GPS data over Africa. The data reveal significant modulations and variability in PWV over a broad range of temporal scales. GPS PWV estimates are compared to ECMWF reanalysis ERA40. Both datasets show good agreement at the larger scales (seasonal cycle and inter‐annual variability), driven by large scale moisture transport. At intra‐seasonal (15–40 days) and synoptic (3–10 days) scales, strong PWV modulations are observed from GPS, consistently with ECMWF analysis. They are shown to be correlated with convection and the passage of equatorial waves and African Easterly waves. The high‐frequency GPS observations also reveal a significant diurnal cycle in PWV, which magnitude and spectral content depends strongly on geographic location and shows a seasonal modulation. The diurnal cycle of PWV is poorly represented in ERA40 reflecting weaknesses in the water cycle of global circulation models at this timescale.</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2006GL028039</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-0437-6561</orcidid><orcidid>https://orcid.org/0000-0003-0416-0338</orcidid><orcidid>https://orcid.org/0000-0001-5980-938X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Atmospheric and Oceanic Physics atmospheric dynamics Earth sciences Earth, ocean, space Exact sciences and technology general circulation model Mars Physics |
| title | Multiscale analysis of precipitable water vapor over Africa from GPS data and ECMWF analyses |
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