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The influence of atmospheric water content, temperature, and aerosol optical depth on downward longwave radiation in arid conditions
In this study, downward (LW) and outgoing longwave radiation measurements, air temperature (T), aerosol optical depth (AOD) at seven wavelengths, Ångstrom exponent (α), and precipitable water vapor (PWV) data from Riyadh, an arid site in central Saudi Arabia, for the period between 2014 and 2016 wer...
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Published in: | Theoretical and applied climatology 2019-11, Vol.138 (3-4), p.1375-1394 |
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creator | Maghrabi, A. H. Almutayri, M. M. Aldosary, A. F. Allehyani, B. I. Aldakhil, A. A. Aljarba, G. A. Altilasi, M. I. |
description | In this study, downward (LW) and outgoing longwave radiation measurements, air temperature (T), aerosol optical depth (AOD) at seven wavelengths, Ångstrom exponent (α), and precipitable water vapor (PWV) data from Riyadh, an arid site in central Saudi Arabia, for the period between 2014 and 2016 were used to study their variations and to investigate the influence of the meteorological variables on the measured downward LW radiation under clear sky conditions. Downward LW radiation and the air temperature have the same distributions. While the outgoing LW radiation and the Ångstrom exponent presented more than one peak in their distributions, the PWV was normally distributed with a mean value of about 11.9 ± 3.9 mm. Distribution of the AOD for all wavelengths has a log-normal shape. Theoretical simulations using SBDART code were conducted and showed that the downward LW radiative forcing increases by about 8% for every 1 mm increases in the water vapor, while it increases by about 4% in every 1 increase in the AOD at 500 nm value. Two variable models containing the PWV and T were developed to model the downward LW radiation. This model has a correlation coefficient of 0.91, MBE = − 0.004 W m
−2
, RMSE = 20.4 W m
−2
, and MPE = − 0.30%. Likewise, correlation analyses between the downward LW radiation and three independent variables (T, PWV, and AOD at 500 nm) were carried out. This model slightly improves the prediction of the LW radiation and has correlation coefficient of 0.93, MBE = 0.1 W m
−2
, RMSE = 17.3 W m
−2
, and MPE = − 0.20%. |
doi_str_mv | 10.1007/s00704-019-02903-y |
format | article |
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−2
, RMSE = 20.4 W m
−2
, and MPE = − 0.30%. Likewise, correlation analyses between the downward LW radiation and three independent variables (T, PWV, and AOD at 500 nm) were carried out. This model slightly improves the prediction of the LW radiation and has correlation coefficient of 0.93, MBE = 0.1 W m
−2
, RMSE = 17.3 W m
−2
, and MPE = − 0.20%.</description><identifier>ISSN: 0177-798X</identifier><identifier>EISSN: 1434-4483</identifier><identifier>DOI: 10.1007/s00704-019-02903-y</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Aerosol optical depth ; Aerosols ; Air temperature ; Analysis ; Aquatic Pollution ; Aridity ; Atmosphere ; Atmospheric aerosols ; Atmospheric models ; Atmospheric Protection/Air Quality Control/Air Pollution ; Atmospheric Sciences ; Atmospheric water ; Carbon dioxide ; Climate science ; Climatology ; Computer simulation ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Earth and Environmental Science ; Earth Sciences ; Greenhouse gases ; Independent variables ; Long wave radiation ; Measuring instruments ; Moisture content ; Optical analysis ; Original Paper ; Physical properties ; Precipitable water ; Radiation ; Radiation measurement ; Radiative forcing ; Simulation ; Sky ; Temperature effects ; Variables ; Waste Water Technology ; Water content ; Water depth ; Water Management ; Water Pollution Control ; Water temperature ; Water vapor ; Water vapour ; Wavelengths</subject><ispartof>Theoretical and applied climatology, 2019-11, Vol.138 (3-4), p.1375-1394</ispartof><rights>Springer-Verlag GmbH Austria, part of Springer Nature 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Theoretical and Applied Climatology is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-2d5d49da54444cfd14cd26f3ceb5f95a760a43bcce733cc70350a854b26db7573</citedby><cites>FETCH-LOGICAL-c392t-2d5d49da54444cfd14cd26f3ceb5f95a760a43bcce733cc70350a854b26db7573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Maghrabi, A. H.</creatorcontrib><creatorcontrib>Almutayri, M. M.</creatorcontrib><creatorcontrib>Aldosary, A. F.</creatorcontrib><creatorcontrib>Allehyani, B. I.</creatorcontrib><creatorcontrib>Aldakhil, A. A.</creatorcontrib><creatorcontrib>Aljarba, G. A.</creatorcontrib><creatorcontrib>Altilasi, M. I.</creatorcontrib><title>The influence of atmospheric water content, temperature, and aerosol optical depth on downward longwave radiation in arid conditions</title><title>Theoretical and applied climatology</title><addtitle>Theor Appl Climatol</addtitle><description>In this study, downward (LW) and outgoing longwave radiation measurements, air temperature (T), aerosol optical depth (AOD) at seven wavelengths, Ångstrom exponent (α), and precipitable water vapor (PWV) data from Riyadh, an arid site in central Saudi Arabia, for the period between 2014 and 2016 were used to study their variations and to investigate the influence of the meteorological variables on the measured downward LW radiation under clear sky conditions. Downward LW radiation and the air temperature have the same distributions. While the outgoing LW radiation and the Ångstrom exponent presented more than one peak in their distributions, the PWV was normally distributed with a mean value of about 11.9 ± 3.9 mm. Distribution of the AOD for all wavelengths has a log-normal shape. Theoretical simulations using SBDART code were conducted and showed that the downward LW radiative forcing increases by about 8% for every 1 mm increases in the water vapor, while it increases by about 4% in every 1 increase in the AOD at 500 nm value. Two variable models containing the PWV and T were developed to model the downward LW radiation. This model has a correlation coefficient of 0.91, MBE = − 0.004 W m
−2
, RMSE = 20.4 W m
−2
, and MPE = − 0.30%. Likewise, correlation analyses between the downward LW radiation and three independent variables (T, PWV, and AOD at 500 nm) were carried out. This model slightly improves the prediction of the LW radiation and has correlation coefficient of 0.93, MBE = 0.1 W m
−2
, RMSE = 17.3 W m
−2
, and MPE = − 0.20%.</description><subject>Aerosol optical depth</subject><subject>Aerosols</subject><subject>Air temperature</subject><subject>Analysis</subject><subject>Aquatic Pollution</subject><subject>Aridity</subject><subject>Atmosphere</subject><subject>Atmospheric aerosols</subject><subject>Atmospheric models</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Atmospheric Sciences</subject><subject>Atmospheric water</subject><subject>Carbon dioxide</subject><subject>Climate science</subject><subject>Climatology</subject><subject>Computer simulation</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Greenhouse gases</subject><subject>Independent variables</subject><subject>Long wave radiation</subject><subject>Measuring instruments</subject><subject>Moisture content</subject><subject>Optical analysis</subject><subject>Original Paper</subject><subject>Physical properties</subject><subject>Precipitable water</subject><subject>Radiation</subject><subject>Radiation measurement</subject><subject>Radiative forcing</subject><subject>Simulation</subject><subject>Sky</subject><subject>Temperature effects</subject><subject>Variables</subject><subject>Waste Water Technology</subject><subject>Water content</subject><subject>Water depth</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Water temperature</subject><subject>Water vapor</subject><subject>Water vapour</subject><subject>Wavelengths</subject><issn>0177-798X</issn><issn>1434-4483</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9UU1r3DAQNaWFbtP8gZ4EPRXiVF-27GMIbRIIBNoUchOz0nhXwSu5ktzN3vvDq40LJZeOhhGM3hsN71XVB0bPGaXqcyqFypqyvqa8p6I-vKpWTApZS9mJ19WKMqVq1XcPb6t3KT1SSnnbqlX1-36LxPlhnNEbJGEgkHchTVuMzpA9ZIzEBJ_R5zOScTdhhDxHPCPgLQGMIYWRhCk7AyOxOOUtCZ7YsPd7iJaMwW_28AtJBOsgu_LmPIHo7HGsdcdOel-9GWBMePr3Pql-fP1yf3ld395d3Vxe3NZG9DzX3DZW9hYaWcIMlkljeTsIg-tm6BtQLQUp1sagEsIYRUVDoWvkmrd2rRolTqqPy9wphp8zpqwfwxx9-VJzLhhruo6zgjpfUBsYURdtQo5gyrG4c2VpHFzpX7RUdpyXLIRPLwjPej3lDcwp6Zvv315i-YI1RbkUcdBTdDuIB82oPlqpFyt1sVI_W6kPhSQWUipgv8H4b-__sP4ATSKjrg</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Maghrabi, A. H.</creator><creator>Almutayri, M. M.</creator><creator>Aldosary, A. F.</creator><creator>Allehyani, B. I.</creator><creator>Aldakhil, A. A.</creator><creator>Aljarba, G. A.</creator><creator>Altilasi, M. I.</creator><general>Springer Vienna</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20191101</creationdate><title>The influence of atmospheric water content, temperature, and aerosol optical depth on downward longwave radiation in arid conditions</title><author>Maghrabi, A. H. ; Almutayri, M. M. ; Aldosary, A. F. ; Allehyani, B. I. ; Aldakhil, A. A. ; Aljarba, G. A. ; Altilasi, M. 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H.</au><au>Almutayri, M. M.</au><au>Aldosary, A. F.</au><au>Allehyani, B. I.</au><au>Aldakhil, A. A.</au><au>Aljarba, G. A.</au><au>Altilasi, M. I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The influence of atmospheric water content, temperature, and aerosol optical depth on downward longwave radiation in arid conditions</atitle><jtitle>Theoretical and applied climatology</jtitle><stitle>Theor Appl Climatol</stitle><date>2019-11-01</date><risdate>2019</risdate><volume>138</volume><issue>3-4</issue><spage>1375</spage><epage>1394</epage><pages>1375-1394</pages><issn>0177-798X</issn><eissn>1434-4483</eissn><abstract>In this study, downward (LW) and outgoing longwave radiation measurements, air temperature (T), aerosol optical depth (AOD) at seven wavelengths, Ångstrom exponent (α), and precipitable water vapor (PWV) data from Riyadh, an arid site in central Saudi Arabia, for the period between 2014 and 2016 were used to study their variations and to investigate the influence of the meteorological variables on the measured downward LW radiation under clear sky conditions. Downward LW radiation and the air temperature have the same distributions. While the outgoing LW radiation and the Ångstrom exponent presented more than one peak in their distributions, the PWV was normally distributed with a mean value of about 11.9 ± 3.9 mm. Distribution of the AOD for all wavelengths has a log-normal shape. Theoretical simulations using SBDART code were conducted and showed that the downward LW radiative forcing increases by about 8% for every 1 mm increases in the water vapor, while it increases by about 4% in every 1 increase in the AOD at 500 nm value. Two variable models containing the PWV and T were developed to model the downward LW radiation. This model has a correlation coefficient of 0.91, MBE = − 0.004 W m
−2
, RMSE = 20.4 W m
−2
, and MPE = − 0.30%. Likewise, correlation analyses between the downward LW radiation and three independent variables (T, PWV, and AOD at 500 nm) were carried out. This model slightly improves the prediction of the LW radiation and has correlation coefficient of 0.93, MBE = 0.1 W m
−2
, RMSE = 17.3 W m
−2
, and MPE = − 0.20%.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00704-019-02903-y</doi><tpages>20</tpages></addata></record> |
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subjects | Aerosol optical depth Aerosols Air temperature Analysis Aquatic Pollution Aridity Atmosphere Atmospheric aerosols Atmospheric models Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Atmospheric water Carbon dioxide Climate science Climatology Computer simulation Correlation analysis Correlation coefficient Correlation coefficients Earth and Environmental Science Earth Sciences Greenhouse gases Independent variables Long wave radiation Measuring instruments Moisture content Optical analysis Original Paper Physical properties Precipitable water Radiation Radiation measurement Radiative forcing Simulation Sky Temperature effects Variables Waste Water Technology Water content Water depth Water Management Water Pollution Control Water temperature Water vapor Water vapour Wavelengths |
title | The influence of atmospheric water content, temperature, and aerosol optical depth on downward longwave radiation in arid conditions |
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