The NVAP global water vapor data set: independent cross-comparison and multiyear variability

Space–time variability in the global distribution of atmospheric total column water vapor (tcwp) greatly impacts the hydrologic cycle. NASA's Water Vapor Project (NVAP) produced a global 1°×1° tcwp data set for use as a tool to investigate, among other things, atmospheric variability. An indepe...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Remote sensing of environment 2001-04, Vol.76 (1), p.112-129
Hauptverfasser: Simpson, James J, Berg, Jared S, Koblinsky, Chester J, Hufford, Gary L, Beckley, Brian
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 129
container_issue 1
container_start_page 112
container_title Remote sensing of environment
container_volume 76
creator Simpson, James J
Berg, Jared S
Koblinsky, Chester J
Hufford, Gary L
Beckley, Brian
description Space–time variability in the global distribution of atmospheric total column water vapor (tcwp) greatly impacts the hydrologic cycle. NASA's Water Vapor Project (NVAP) produced a global 1°×1° tcwp data set for use as a tool to investigate, among other things, atmospheric variability. An independent cross-comparison of the NVAP tcwp product was performed using the TOPEX/POSEIDON (T/P) TOPEX microwave radiometer (TMR) data and the European Centre for Medium-Range Weather Forecasts (ECMWF)-based range delay data set produced by Météo-France (MF) and distributed with T/P data. When these T/P range delay data are converted to tcwp, they show that NVAP is biased dry and ECMWF/MF is biased wet relative to the independent TMR measurement. Although the absolute accuracy of the NVAP tcwp product is uncertain, results indicate its relative accuracy is sufficient for variability studies. Empirical orthogonal function (EOF) analysis and spectral analysis applied to this data set show that seasonal variability over the annual cycle accounts for about 20% of the variance (EOF1). An El Niño-southern oscillation (ENSO) signal is found in the annually demeaned data; the magnitude of the cross-correlation between the temporal amplitude (TA) of EOF1 and the Niño 3.4 (SST) time series is .9. Comparisons also were made between the NVAP patterns of variability in tcwp and independent reanalysis and interpretation of numerical model generated atmospheric fields. In general, there is good agreement between the NVAP data and the reanalysis fields. Finally, specific recommendations are made for: (1) improvement of the NVAP data set upon reanalysis and (2) use of the NVAP data, in place of ECMWF/MF-based range delay data, for T/P retrievals when TMR data are not available if and when T/P data are reanalyzed. This latter recommendation is especially important for regions of the tropical Indo-Pacific (e.g., Indonesia) where islands can interfere with valid TMR retrievals.
doi_str_mv 10.1016/S0034-4257(00)00199-1
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_27000862</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0034425700001991</els_id><sourcerecordid>27000862</sourcerecordid><originalsourceid>FETCH-LOGICAL-c366t-d40708ebc12d938a9c4a9027cdfdfec8f142fd3607c0898f9668196d320900bf3</originalsourceid><addsrcrecordid>eNqFkN1LHDEUxUNR6PrxJwgBodiHqTczs5mkLyJS24KooPZJCHeTG5syOzMmWWX_-85-sK--3PvyO_fccxg7EfBNgJDnDwBVXdTltDkD-AogtC7EJzYRqtEFNFDvsckO-cwOUvo3QlPViAl7fvxL_PbP5T1_afsZtvwdM0X-hkMfucOMPFH-zkPnaKBxdJnb2KdU2H4-YAyp7zh2js8XbQ5LwpU0BpyFNuTlEdv32CY63u5D9nT94_HqV3Fz9_P31eVNYSspc-Hq8UlFMytKpyuF2taooWys886TVV7UpXeVhMaC0sprKZXQ0lUlaICZrw7Zl83dIfavC0rZzEOy1LbYUb9IpmwAQMlyBKcbcJ0hkjdDDHOMSyPArLo06y7NqigDYNZdGjHqTrcGmCy2PmJnQ9qJ9VSCVCN1saFozPoWKJpkA3WWXIhks3F9-MDnP16IiFo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>27000862</pqid></control><display><type>article</type><title>The NVAP global water vapor data set: independent cross-comparison and multiyear variability</title><source>Access via ScienceDirect (Elsevier)</source><creator>Simpson, James J ; Berg, Jared S ; Koblinsky, Chester J ; Hufford, Gary L ; Beckley, Brian</creator><creatorcontrib>Simpson, James J ; Berg, Jared S ; Koblinsky, Chester J ; Hufford, Gary L ; Beckley, Brian</creatorcontrib><description>Space–time variability in the global distribution of atmospheric total column water vapor (tcwp) greatly impacts the hydrologic cycle. NASA's Water Vapor Project (NVAP) produced a global 1°×1° tcwp data set for use as a tool to investigate, among other things, atmospheric variability. An independent cross-comparison of the NVAP tcwp product was performed using the TOPEX/POSEIDON (T/P) TOPEX microwave radiometer (TMR) data and the European Centre for Medium-Range Weather Forecasts (ECMWF)-based range delay data set produced by Météo-France (MF) and distributed with T/P data. When these T/P range delay data are converted to tcwp, they show that NVAP is biased dry and ECMWF/MF is biased wet relative to the independent TMR measurement. Although the absolute accuracy of the NVAP tcwp product is uncertain, results indicate its relative accuracy is sufficient for variability studies. Empirical orthogonal function (EOF) analysis and spectral analysis applied to this data set show that seasonal variability over the annual cycle accounts for about 20% of the variance (EOF1). An El Niño-southern oscillation (ENSO) signal is found in the annually demeaned data; the magnitude of the cross-correlation between the temporal amplitude (TA) of EOF1 and the Niño 3.4 (SST) time series is .9. Comparisons also were made between the NVAP patterns of variability in tcwp and independent reanalysis and interpretation of numerical model generated atmospheric fields. In general, there is good agreement between the NVAP data and the reanalysis fields. Finally, specific recommendations are made for: (1) improvement of the NVAP data set upon reanalysis and (2) use of the NVAP data, in place of ECMWF/MF-based range delay data, for T/P retrievals when TMR data are not available if and when T/P data are reanalyzed. This latter recommendation is especially important for regions of the tropical Indo-Pacific (e.g., Indonesia) where islands can interfere with valid TMR retrievals.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/S0034-4257(00)00199-1</identifier><identifier>CODEN: RSEEA7</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Meteorology ; Water in the atmosphere (humidity, clouds, evaporation, precipitation)</subject><ispartof>Remote sensing of environment, 2001-04, Vol.76 (1), p.112-129</ispartof><rights>2001 Elsevier Science Inc.</rights><rights>2001 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-d40708ebc12d938a9c4a9027cdfdfec8f142fd3607c0898f9668196d320900bf3</citedby><cites>FETCH-LOGICAL-c366t-d40708ebc12d938a9c4a9027cdfdfec8f142fd3607c0898f9668196d320900bf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0034-4257(00)00199-1$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=956068$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Simpson, James J</creatorcontrib><creatorcontrib>Berg, Jared S</creatorcontrib><creatorcontrib>Koblinsky, Chester J</creatorcontrib><creatorcontrib>Hufford, Gary L</creatorcontrib><creatorcontrib>Beckley, Brian</creatorcontrib><title>The NVAP global water vapor data set: independent cross-comparison and multiyear variability</title><title>Remote sensing of environment</title><description>Space–time variability in the global distribution of atmospheric total column water vapor (tcwp) greatly impacts the hydrologic cycle. NASA's Water Vapor Project (NVAP) produced a global 1°×1° tcwp data set for use as a tool to investigate, among other things, atmospheric variability. An independent cross-comparison of the NVAP tcwp product was performed using the TOPEX/POSEIDON (T/P) TOPEX microwave radiometer (TMR) data and the European Centre for Medium-Range Weather Forecasts (ECMWF)-based range delay data set produced by Météo-France (MF) and distributed with T/P data. When these T/P range delay data are converted to tcwp, they show that NVAP is biased dry and ECMWF/MF is biased wet relative to the independent TMR measurement. Although the absolute accuracy of the NVAP tcwp product is uncertain, results indicate its relative accuracy is sufficient for variability studies. Empirical orthogonal function (EOF) analysis and spectral analysis applied to this data set show that seasonal variability over the annual cycle accounts for about 20% of the variance (EOF1). An El Niño-southern oscillation (ENSO) signal is found in the annually demeaned data; the magnitude of the cross-correlation between the temporal amplitude (TA) of EOF1 and the Niño 3.4 (SST) time series is .9. Comparisons also were made between the NVAP patterns of variability in tcwp and independent reanalysis and interpretation of numerical model generated atmospheric fields. In general, there is good agreement between the NVAP data and the reanalysis fields. Finally, specific recommendations are made for: (1) improvement of the NVAP data set upon reanalysis and (2) use of the NVAP data, in place of ECMWF/MF-based range delay data, for T/P retrievals when TMR data are not available if and when T/P data are reanalyzed. This latter recommendation is especially important for regions of the tropical Indo-Pacific (e.g., Indonesia) where islands can interfere with valid TMR retrievals.</description><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Meteorology</subject><subject>Water in the atmosphere (humidity, clouds, evaporation, precipitation)</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqFkN1LHDEUxUNR6PrxJwgBodiHqTczs5mkLyJS24KooPZJCHeTG5syOzMmWWX_-85-sK--3PvyO_fccxg7EfBNgJDnDwBVXdTltDkD-AogtC7EJzYRqtEFNFDvsckO-cwOUvo3QlPViAl7fvxL_PbP5T1_afsZtvwdM0X-hkMfucOMPFH-zkPnaKBxdJnb2KdU2H4-YAyp7zh2js8XbQ5LwpU0BpyFNuTlEdv32CY63u5D9nT94_HqV3Fz9_P31eVNYSspc-Hq8UlFMytKpyuF2taooWys886TVV7UpXeVhMaC0sprKZXQ0lUlaICZrw7Zl83dIfavC0rZzEOy1LbYUb9IpmwAQMlyBKcbcJ0hkjdDDHOMSyPArLo06y7NqigDYNZdGjHqTrcGmCy2PmJnQ9qJ9VSCVCN1saFozPoWKJpkA3WWXIhks3F9-MDnP16IiFo</recordid><startdate>20010401</startdate><enddate>20010401</enddate><creator>Simpson, James J</creator><creator>Berg, Jared S</creator><creator>Koblinsky, Chester J</creator><creator>Hufford, Gary L</creator><creator>Beckley, Brian</creator><general>Elsevier Inc</general><general>Elsevier Science</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20010401</creationdate><title>The NVAP global water vapor data set: independent cross-comparison and multiyear variability</title><author>Simpson, James J ; Berg, Jared S ; Koblinsky, Chester J ; Hufford, Gary L ; Beckley, Brian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-d40708ebc12d938a9c4a9027cdfdfec8f142fd3607c0898f9668196d320900bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Meteorology</topic><topic>Water in the atmosphere (humidity, clouds, evaporation, precipitation)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Simpson, James J</creatorcontrib><creatorcontrib>Berg, Jared S</creatorcontrib><creatorcontrib>Koblinsky, Chester J</creatorcontrib><creatorcontrib>Hufford, Gary L</creatorcontrib><creatorcontrib>Beckley, Brian</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Simpson, James J</au><au>Berg, Jared S</au><au>Koblinsky, Chester J</au><au>Hufford, Gary L</au><au>Beckley, Brian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The NVAP global water vapor data set: independent cross-comparison and multiyear variability</atitle><jtitle>Remote sensing of environment</jtitle><date>2001-04-01</date><risdate>2001</risdate><volume>76</volume><issue>1</issue><spage>112</spage><epage>129</epage><pages>112-129</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><coden>RSEEA7</coden><abstract>Space–time variability in the global distribution of atmospheric total column water vapor (tcwp) greatly impacts the hydrologic cycle. NASA's Water Vapor Project (NVAP) produced a global 1°×1° tcwp data set for use as a tool to investigate, among other things, atmospheric variability. An independent cross-comparison of the NVAP tcwp product was performed using the TOPEX/POSEIDON (T/P) TOPEX microwave radiometer (TMR) data and the European Centre for Medium-Range Weather Forecasts (ECMWF)-based range delay data set produced by Météo-France (MF) and distributed with T/P data. When these T/P range delay data are converted to tcwp, they show that NVAP is biased dry and ECMWF/MF is biased wet relative to the independent TMR measurement. Although the absolute accuracy of the NVAP tcwp product is uncertain, results indicate its relative accuracy is sufficient for variability studies. Empirical orthogonal function (EOF) analysis and spectral analysis applied to this data set show that seasonal variability over the annual cycle accounts for about 20% of the variance (EOF1). An El Niño-southern oscillation (ENSO) signal is found in the annually demeaned data; the magnitude of the cross-correlation between the temporal amplitude (TA) of EOF1 and the Niño 3.4 (SST) time series is .9. Comparisons also were made between the NVAP patterns of variability in tcwp and independent reanalysis and interpretation of numerical model generated atmospheric fields. In general, there is good agreement between the NVAP data and the reanalysis fields. Finally, specific recommendations are made for: (1) improvement of the NVAP data set upon reanalysis and (2) use of the NVAP data, in place of ECMWF/MF-based range delay data, for T/P retrievals when TMR data are not available if and when T/P data are reanalyzed. This latter recommendation is especially important for regions of the tropical Indo-Pacific (e.g., Indonesia) where islands can interfere with valid TMR retrievals.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><doi>10.1016/S0034-4257(00)00199-1</doi><tpages>18</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0034-4257
ispartof Remote sensing of environment, 2001-04, Vol.76 (1), p.112-129
issn 0034-4257
1879-0704
language eng
recordid cdi_proquest_miscellaneous_27000862
source Access via ScienceDirect (Elsevier)
subjects Earth, ocean, space
Exact sciences and technology
External geophysics
Meteorology
Water in the atmosphere (humidity, clouds, evaporation, precipitation)
title The NVAP global water vapor data set: independent cross-comparison and multiyear variability
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T15%3A25%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20NVAP%20global%20water%20vapor%20data%20set:%20independent%20cross-comparison%20and%20multiyear%20variability&rft.jtitle=Remote%20sensing%20of%20environment&rft.au=Simpson,%20James%20J&rft.date=2001-04-01&rft.volume=76&rft.issue=1&rft.spage=112&rft.epage=129&rft.pages=112-129&rft.issn=0034-4257&rft.eissn=1879-0704&rft.coden=RSEEA7&rft_id=info:doi/10.1016/S0034-4257(00)00199-1&rft_dat=%3Cproquest_cross%3E27000862%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=27000862&rft_id=info:pmid/&rft_els_id=S0034425700001991&rfr_iscdi=true