Air Temperature Modelling in Distrito Federal – Brazil Region with Atmospheric AIRS Sensor Data
Remote sensing can be used to estimate meteorological data. Images of atmospheric variables obtained by the AIRS (Atmospheric Infrared Sounder) sensor aboard Aqua satellite, were used to estimate maximum, minimum and average daily air temperature in Federal District region – Brazil. Simple and multi...
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| Veröffentlicht in: | Revista brasileira de meteorologia 2019-04, Vol.34 (2), p.275 |
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| creator | Pereira, Rodrigo Moura |
| description | Remote sensing can be used to estimate meteorological data. Images of atmospheric variables obtained by the AIRS (Atmospheric Infrared Sounder) sensor aboard Aqua satellite, were used to estimate maximum, minimum and average daily air temperature in Federal District region – Brazil. Simple and multiple linear regression models were used with explanatory variables derived of diurnal and nocturnal AIRS data of surface temperature, relative air humidity and atmospheric water vapor over the period 2012-2016. The dependent variables were the maximum, minimum and daily average air temperature obtained by two meteorological stations located in the study region. The AIRS fittings showed R² = 0.62 and RMSE = 1.64 °C for the daily maximum air temperature, R² = 0.59 and RMSE = 1.50 °C for the minimum daily air temperature, and R² = 0.76 and RMSE = 1.45 °C for the daily average air temperature. Our results suggest that the AIRS data can yield accurate daily air temperature estimates for Distrito Federal – Brazil region. |
| doi_str_mv | 10.1590/0102-77863340240 |
| format | Article |
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Images of atmospheric variables obtained by the AIRS (Atmospheric Infrared Sounder) sensor aboard Aqua satellite, were used to estimate maximum, minimum and average daily air temperature in Federal District region – Brazil. Simple and multiple linear regression models were used with explanatory variables derived of diurnal and nocturnal AIRS data of surface temperature, relative air humidity and atmospheric water vapor over the period 2012-2016. The dependent variables were the maximum, minimum and daily average air temperature obtained by two meteorological stations located in the study region. The AIRS fittings showed R² = 0.62 and RMSE = 1.64 °C for the daily maximum air temperature, R² = 0.59 and RMSE = 1.50 °C for the minimum daily air temperature, and R² = 0.76 and RMSE = 1.45 °C for the daily average air temperature. Our results suggest that the AIRS data can yield accurate daily air temperature estimates for Distrito Federal – Brazil region.</description><identifier>ISSN: 0102-7786</identifier><identifier>EISSN: 1982-4351</identifier><identifier>DOI: 10.1590/0102-77863340240</identifier><language>eng ; por</language><publisher>Rio de Janeiro: Sociedade Brasileira de Meteorologia</publisher><subject>Air temperature ; Atmospheric Infrared Sounder ; Atmospheric models ; Atmospheric water ; Atmospheric water vapor ; Dependent variables ; Diurnal ; Infrared detectors ; Meteorological data ; Regression analysis ; Regression models ; Relative humidity ; Remote sensing ; Remote sensors ; Satellites ; Sensors ; Surface temperature ; Temperature ; Temperature effects ; Water vapor ; Water vapour ; Weather stations</subject><ispartof>Revista brasileira de meteorologia, 2019-04, Vol.34 (2), p.275</ispartof><rights>Copyright Sociedade Brasileira de Meteorologia Apr-Jun 2019</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27901,27902</link.rule.ids></links><search><creatorcontrib>Pereira, Rodrigo Moura</creatorcontrib><title>Air Temperature Modelling in Distrito Federal – Brazil Region with Atmospheric AIRS Sensor Data</title><title>Revista brasileira de meteorologia</title><description>Remote sensing can be used to estimate meteorological data. Images of atmospheric variables obtained by the AIRS (Atmospheric Infrared Sounder) sensor aboard Aqua satellite, were used to estimate maximum, minimum and average daily air temperature in Federal District region – Brazil. Simple and multiple linear regression models were used with explanatory variables derived of diurnal and nocturnal AIRS data of surface temperature, relative air humidity and atmospheric water vapor over the period 2012-2016. The dependent variables were the maximum, minimum and daily average air temperature obtained by two meteorological stations located in the study region. The AIRS fittings showed R² = 0.62 and RMSE = 1.64 °C for the daily maximum air temperature, R² = 0.59 and RMSE = 1.50 °C for the minimum daily air temperature, and R² = 0.76 and RMSE = 1.45 °C for the daily average air temperature. Our results suggest that the AIRS data can yield accurate daily air temperature estimates for Distrito Federal – Brazil region.</description><subject>Air temperature</subject><subject>Atmospheric Infrared Sounder</subject><subject>Atmospheric models</subject><subject>Atmospheric water</subject><subject>Atmospheric water vapor</subject><subject>Dependent variables</subject><subject>Diurnal</subject><subject>Infrared detectors</subject><subject>Meteorological data</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Relative humidity</subject><subject>Remote sensing</subject><subject>Remote sensors</subject><subject>Satellites</subject><subject>Sensors</subject><subject>Surface temperature</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Water vapor</subject><subject>Water vapour</subject><subject>Weather stations</subject><issn>0102-7786</issn><issn>1982-4351</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNyrtOAzEQQFELgcTy6ClHol4Y2_tKuRAiKGiS9JFFhmQix17GXiFR8Q_8IV9CCkRNdYtzlbrSeKPrCd6iRlO2bddYW6Gp8EgVetKZsrK1PlbFH5-qs5R2iA3qpi6U61lgSfuBxOVRCJ7jmrznsAEOMOWUhXOEGa0Pg4fvzy-4E_fBHua04RjgnfMW-ryPadiS8Av0T_MFLCikKDB12V2ok1fnE13-9lxdzx6W94_lIPFtpJRXuzhKONDKmM6aum1abf93_QDclksr</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Pereira, Rodrigo Moura</creator><general>Sociedade Brasileira de Meteorologia</general><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>20190401</creationdate><title>Air Temperature Modelling in Distrito Federal – Brazil Region with Atmospheric AIRS Sensor Data</title><author>Pereira, Rodrigo Moura</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_22832576713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; por</language><creationdate>2019</creationdate><topic>Air temperature</topic><topic>Atmospheric Infrared Sounder</topic><topic>Atmospheric models</topic><topic>Atmospheric water</topic><topic>Atmospheric water vapor</topic><topic>Dependent variables</topic><topic>Diurnal</topic><topic>Infrared detectors</topic><topic>Meteorological data</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Relative humidity</topic><topic>Remote sensing</topic><topic>Remote sensors</topic><topic>Satellites</topic><topic>Sensors</topic><topic>Surface temperature</topic><topic>Temperature</topic><topic>Temperature effects</topic><topic>Water vapor</topic><topic>Water vapour</topic><topic>Weather stations</topic><toplevel>online_resources</toplevel><creatorcontrib>Pereira, Rodrigo Moura</creatorcontrib><collection>Aqualine</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>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Revista brasileira de meteorologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pereira, Rodrigo Moura</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Air Temperature Modelling in Distrito Federal – Brazil Region with Atmospheric AIRS Sensor Data</atitle><jtitle>Revista brasileira de meteorologia</jtitle><date>2019-04-01</date><risdate>2019</risdate><volume>34</volume><issue>2</issue><spage>275</spage><pages>275-</pages><issn>0102-7786</issn><eissn>1982-4351</eissn><abstract>Remote sensing can be used to estimate meteorological data. Images of atmospheric variables obtained by the AIRS (Atmospheric Infrared Sounder) sensor aboard Aqua satellite, were used to estimate maximum, minimum and average daily air temperature in Federal District region – Brazil. Simple and multiple linear regression models were used with explanatory variables derived of diurnal and nocturnal AIRS data of surface temperature, relative air humidity and atmospheric water vapor over the period 2012-2016. The dependent variables were the maximum, minimum and daily average air temperature obtained by two meteorological stations located in the study region. The AIRS fittings showed R² = 0.62 and RMSE = 1.64 °C for the daily maximum air temperature, R² = 0.59 and RMSE = 1.50 °C for the minimum daily air temperature, and R² = 0.76 and RMSE = 1.45 °C for the daily average air temperature. Our results suggest that the AIRS data can yield accurate daily air temperature estimates for Distrito Federal – Brazil region.</abstract><cop>Rio de Janeiro</cop><pub>Sociedade Brasileira de Meteorologia</pub><doi>10.1590/0102-77863340240</doi></addata></record> |
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| source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Air temperature Atmospheric Infrared Sounder Atmospheric models Atmospheric water Atmospheric water vapor Dependent variables Diurnal Infrared detectors Meteorological data Regression analysis Regression models Relative humidity Remote sensing Remote sensors Satellites Sensors Surface temperature Temperature Temperature effects Water vapor Water vapour Weather stations |
| title | Air Temperature Modelling in Distrito Federal – Brazil Region with Atmospheric AIRS Sensor Data |
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