Multivariate geostatistical application for climate characterization of Minas Gerais State, Brazil
The objective of the present study was to assess for Minas Gerais the cokriging methodology, in order to characterize the spatial variability of Thornthwaite annual moisture index, annual rainfall, and average annual air temperature, based on geographical coordinates, altitude, latitude, and longitu...
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| Veröffentlicht in: | Theoretical and applied climatology 2010-11, Vol.102 (3-4), p.417-428 |
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| creator | de Carvalho, Luiz G. de Carvalho Alves, Marcelo de Oliveira, Marcelo S. Vianello, Rubens L. Sediyama, Gilberto C. de Carvalho, Luis M. T. |
| description | The objective of the present study was to assess for Minas Gerais the cokriging methodology, in order to characterize the spatial variability of Thornthwaite annual moisture index, annual rainfall, and average annual air temperature, based on geographical coordinates, altitude, latitude, and longitude. The climatic element data referred to 39 INMET climatic stations located in the state of Minas Gerais and in nearby areas and the covariables altitude, latitude, and longitude to the SRTM digital elevation model. Spatial dependence of data was observed through spherical cross semivariograms and cross covariance models. Box–Cox and log transformation were applied to the positive variables. In these situations, kriged predictions were back-transformed and returned to the same scale as the original data. Trend was removed using global polynomial interpolation. Universal simple cokriging best characterized the climate variables without tendentiousness and with high accuracy and precision when compared to simple cokriging. Considering the satisfactory implementation of universal simple cokriging for the monitoring of climatic elements, this methodology presents enormous potential for the characterization of climate change impact in Minas Gerais state. |
| doi_str_mv | 10.1007/s00704-010-0273-z |
| format | Article |
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T.</creator><creatorcontrib>de Carvalho, Luiz G. ; de Carvalho Alves, Marcelo ; de Oliveira, Marcelo S. ; Vianello, Rubens L. ; Sediyama, Gilberto C. ; de Carvalho, Luis M. T.</creatorcontrib><description>The objective of the present study was to assess for Minas Gerais the cokriging methodology, in order to characterize the spatial variability of Thornthwaite annual moisture index, annual rainfall, and average annual air temperature, based on geographical coordinates, altitude, latitude, and longitude. The climatic element data referred to 39 INMET climatic stations located in the state of Minas Gerais and in nearby areas and the covariables altitude, latitude, and longitude to the SRTM digital elevation model. Spatial dependence of data was observed through spherical cross semivariograms and cross covariance models. Box–Cox and log transformation were applied to the positive variables. In these situations, kriged predictions were back-transformed and returned to the same scale as the original data. Trend was removed using global polynomial interpolation. Universal simple cokriging best characterized the climate variables without tendentiousness and with high accuracy and precision when compared to simple cokriging. Considering the satisfactory implementation of universal simple cokriging for the monitoring of climatic elements, this methodology presents enormous potential for the characterization of climate change impact in Minas Gerais state.</description><identifier>ISSN: 0177-798X</identifier><identifier>EISSN: 1434-4483</identifier><identifier>DOI: 10.1007/s00704-010-0273-z</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Air temperature ; Altitude ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Atmospheric Sciences ; Chemical properties ; Climate ; Climate change ; Climatology ; Earth and Environmental Science ; Earth Sciences ; Earth, ocean, space ; Environmental impact ; Exact sciences and technology ; External geophysics ; Geographical coordinates ; Geology ; Global temperature changes ; Latitude ; Longitude ; Meteorology ; Moisture index ; Multivariate analysis ; Original Paper ; Rain and rainfall ; Statistical methods ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Theoretical and applied climatology, 2010-11, Vol.102 (3-4), p.417-428</ispartof><rights>Springer-Verlag 2010</rights><rights>2015 INIST-CNRS</rights><rights>COPYRIGHT 2010 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c450t-e6729f7d8019a3aee82c6a0a4c1dce23e39cb1e240c548f0c1241f12e5b808573</citedby><cites>FETCH-LOGICAL-c450t-e6729f7d8019a3aee82c6a0a4c1dce23e39cb1e240c548f0c1241f12e5b808573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00704-010-0273-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00704-010-0273-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23432369$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>de Carvalho, Luiz G.</creatorcontrib><creatorcontrib>de Carvalho Alves, Marcelo</creatorcontrib><creatorcontrib>de Oliveira, Marcelo S.</creatorcontrib><creatorcontrib>Vianello, Rubens L.</creatorcontrib><creatorcontrib>Sediyama, Gilberto C.</creatorcontrib><creatorcontrib>de Carvalho, Luis M. T.</creatorcontrib><title>Multivariate geostatistical application for climate characterization of Minas Gerais State, Brazil</title><title>Theoretical and applied climatology</title><addtitle>Theor Appl Climatol</addtitle><description>The objective of the present study was to assess for Minas Gerais the cokriging methodology, in order to characterize the spatial variability of Thornthwaite annual moisture index, annual rainfall, and average annual air temperature, based on geographical coordinates, altitude, latitude, and longitude. The climatic element data referred to 39 INMET climatic stations located in the state of Minas Gerais and in nearby areas and the covariables altitude, latitude, and longitude to the SRTM digital elevation model. Spatial dependence of data was observed through spherical cross semivariograms and cross covariance models. Box–Cox and log transformation were applied to the positive variables. In these situations, kriged predictions were back-transformed and returned to the same scale as the original data. Trend was removed using global polynomial interpolation. Universal simple cokriging best characterized the climate variables without tendentiousness and with high accuracy and precision when compared to simple cokriging. Considering the satisfactory implementation of universal simple cokriging for the monitoring of climatic elements, this methodology presents enormous potential for the characterization of climate change impact in Minas Gerais state.</description><subject>Air temperature</subject><subject>Altitude</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Atmospheric Sciences</subject><subject>Chemical properties</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climatology</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth, ocean, space</subject><subject>Environmental impact</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Geographical coordinates</subject><subject>Geology</subject><subject>Global temperature changes</subject><subject>Latitude</subject><subject>Longitude</subject><subject>Meteorology</subject><subject>Moisture index</subject><subject>Multivariate analysis</subject><subject>Original Paper</subject><subject>Rain and rainfall</subject><subject>Statistical methods</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0177-798X</issn><issn>1434-4483</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kV9rFDEUxQdRcK1-AN8GQURw6s2fmWQe22JroUWwCr6Fu9mbNWV2siYZsfvpzTBFqSCBJOT-zuHenKp6yeCYAaj3qWwgG2DQAFeiOTyqVkwK2UipxeNqBUypRvX629PqWUq3AMC7Tq2q9fU0ZP8To8dM9ZZCyph9yt7iUON-P5RL9mGsXYi1Hfxuxux3jGgzRX9YisHV137EVF9QRJ_qm2JC7-rTiAc_PK-eOBwSvbg_j6qv5x--nH1srj5dXJ6dXDVWtpAb6hTvndpoYD0KJNLcdggoLdtY4oJEb9eMuATbSu3AMi6ZY5zatQbdKnFUvVl89zH8mChls_PJ0jDgSGFKRredUkXeF_LVP-RtmOJYmjMaVMugY7Pd8QJtcSDjRxdyGbqsDe28DSM5X95PRNsq1fVMFMHbB4LCZPqVtzilZC5vPj9k2cLaGFKK5Mw-lr-Nd4aBmQM1S6CmBGrmQM2haF7fd42ppOMijtanP0IupOCim6fjC5dKadxS_Dvd_81_A4IFsAY</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>de Carvalho, Luiz G.</creator><creator>de Carvalho Alves, Marcelo</creator><creator>de Oliveira, Marcelo S.</creator><creator>Vianello, Rubens L.</creator><creator>Sediyama, Gilberto C.</creator><creator>de Carvalho, Luis M. 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T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multivariate geostatistical application for climate characterization of Minas Gerais State, Brazil</atitle><jtitle>Theoretical and applied climatology</jtitle><stitle>Theor Appl Climatol</stitle><date>2010-11-01</date><risdate>2010</risdate><volume>102</volume><issue>3-4</issue><spage>417</spage><epage>428</epage><pages>417-428</pages><issn>0177-798X</issn><eissn>1434-4483</eissn><abstract>The objective of the present study was to assess for Minas Gerais the cokriging methodology, in order to characterize the spatial variability of Thornthwaite annual moisture index, annual rainfall, and average annual air temperature, based on geographical coordinates, altitude, latitude, and longitude. The climatic element data referred to 39 INMET climatic stations located in the state of Minas Gerais and in nearby areas and the covariables altitude, latitude, and longitude to the SRTM digital elevation model. 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| identifier | ISSN: 0177-798X |
| ispartof | Theoretical and applied climatology, 2010-11, Vol.102 (3-4), p.417-428 |
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| subjects | Air temperature Altitude Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Chemical properties Climate Climate change Climatology Earth and Environmental Science Earth Sciences Earth, ocean, space Environmental impact Exact sciences and technology External geophysics Geographical coordinates Geology Global temperature changes Latitude Longitude Meteorology Moisture index Multivariate analysis Original Paper Rain and rainfall Statistical methods Waste Water Technology Water Management Water Pollution Control |
| title | Multivariate geostatistical application for climate characterization of Minas Gerais State, Brazil |
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