Bias induced by the AOD representation time scale in long-term solar radiation calculations. Part 2: Impact on long-term solar irradiance predictions
•The AOD time scale affects the calculated long-term solar radiation.•Coarse AOD time scales bias the calculated long-term solar radiation.•The impact of AOD time scale on calculated long-term solar radiation is studied. Long-term solar irradiance modelled using monthly-average aerosol optical depth...
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creator | Ruiz-Arias, José A. Gueymard, Christian A. Santos-Alamillos, Francisco J. Quesada-Ruiz, Samuel Pozo-Vázquez, David |
description | •The AOD time scale affects the calculated long-term solar radiation.•Coarse AOD time scales bias the calculated long-term solar radiation.•The impact of AOD time scale on calculated long-term solar radiation is studied.
Long-term solar irradiance modelled using monthly-average aerosol optical depth (AOD) is biased compared to what is obtained using daily AOD values. This is due to a modification of the AOD frequency distribution that results from the coarsening of the time scale, combined with the nonlinear sensitivity of irradiance to AOD. The resulting alteration of the mean and standard deviation of AOD has been evaluated worldwide in this study’s Part 1. Here, the focus is to evaluate how the progressive coarsening (in 1-day steps) of the temporal representation of AOD affects the calculated long-term values of both global and direct irradiances. It is shown that, on average, their long-term values can be underestimated by as much as ≈6Wm−2 (≈1.2%) and ≈40Wm−2 (≈8%) respectively, over regions of North Africa and Asia, with respect to the reference case for which daily AODs are used. This irradiance underestimation can be parameterized as a function of the AOD time scale by means of four sitedependent parameters. The proposed parameterization provides a simple way to correct the long-term irradiance datasets that are commonly obtained using monthly-average AOD data. |
doi_str_mv | 10.1016/j.solener.2016.06.017 |
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Long-term solar irradiance modelled using monthly-average aerosol optical depth (AOD) is biased compared to what is obtained using daily AOD values. This is due to a modification of the AOD frequency distribution that results from the coarsening of the time scale, combined with the nonlinear sensitivity of irradiance to AOD. The resulting alteration of the mean and standard deviation of AOD has been evaluated worldwide in this study’s Part 1. Here, the focus is to evaluate how the progressive coarsening (in 1-day steps) of the temporal representation of AOD affects the calculated long-term values of both global and direct irradiances. It is shown that, on average, their long-term values can be underestimated by as much as ≈6Wm−2 (≈1.2%) and ≈40Wm−2 (≈8%) respectively, over regions of North Africa and Asia, with respect to the reference case for which daily AODs are used. This irradiance underestimation can be parameterized as a function of the AOD time scale by means of four sitedependent parameters. The proposed parameterization provides a simple way to correct the long-term irradiance datasets that are commonly obtained using monthly-average AOD data.</description><identifier>ISSN: 0038-092X</identifier><identifier>EISSN: 1471-1257</identifier><identifier>DOI: 10.1016/j.solener.2016.06.017</identifier><identifier>CODEN: SRENA4</identifier><language>eng</language><publisher>New York: Elsevier Ltd</publisher><subject>Aerosols ; AOD time scale ; Bankability ; Bias ; DNI ; Monte Carlo ; Solar energy ; Solar radiation ; Standard deviation ; Ultraviolet radiation</subject><ispartof>Solar energy, 2016-10, Vol.135, p.625-632</ispartof><rights>2016 Elsevier Ltd</rights><rights>Copyright Pergamon Press Inc. Oct 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-31e1da85cd8e84dd5c354368d38261d45114ae4b9b79b2b67417692a1ddc42443</citedby><cites>FETCH-LOGICAL-c337t-31e1da85cd8e84dd5c354368d38261d45114ae4b9b79b2b67417692a1ddc42443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.solener.2016.06.017$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Ruiz-Arias, José A.</creatorcontrib><creatorcontrib>Gueymard, Christian A.</creatorcontrib><creatorcontrib>Santos-Alamillos, Francisco J.</creatorcontrib><creatorcontrib>Quesada-Ruiz, Samuel</creatorcontrib><creatorcontrib>Pozo-Vázquez, David</creatorcontrib><title>Bias induced by the AOD representation time scale in long-term solar radiation calculations. Part 2: Impact on long-term solar irradiance predictions</title><title>Solar energy</title><description>•The AOD time scale affects the calculated long-term solar radiation.•Coarse AOD time scales bias the calculated long-term solar radiation.•The impact of AOD time scale on calculated long-term solar radiation is studied.
Long-term solar irradiance modelled using monthly-average aerosol optical depth (AOD) is biased compared to what is obtained using daily AOD values. This is due to a modification of the AOD frequency distribution that results from the coarsening of the time scale, combined with the nonlinear sensitivity of irradiance to AOD. The resulting alteration of the mean and standard deviation of AOD has been evaluated worldwide in this study’s Part 1. Here, the focus is to evaluate how the progressive coarsening (in 1-day steps) of the temporal representation of AOD affects the calculated long-term values of both global and direct irradiances. It is shown that, on average, their long-term values can be underestimated by as much as ≈6Wm−2 (≈1.2%) and ≈40Wm−2 (≈8%) respectively, over regions of North Africa and Asia, with respect to the reference case for which daily AODs are used. This irradiance underestimation can be parameterized as a function of the AOD time scale by means of four sitedependent parameters. The proposed parameterization provides a simple way to correct the long-term irradiance datasets that are commonly obtained using monthly-average AOD data.</description><subject>Aerosols</subject><subject>AOD time scale</subject><subject>Bankability</subject><subject>Bias</subject><subject>DNI</subject><subject>Monte Carlo</subject><subject>Solar energy</subject><subject>Solar radiation</subject><subject>Standard deviation</subject><subject>Ultraviolet radiation</subject><issn>0038-092X</issn><issn>1471-1257</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFkc9KAzEQxoMoWKuPIAQ875rZZDe7XkTrv0KhHhS8hWwy1ZTtbk1SwQfxfY2tNw_CwEzI75uP4SPkFFgODKrzZR6GDnv0eZGeOUsFco-MQEjIoCjlPhkxxuuMNcXLITkKYckSAbUcka9rpwN1vd0YtLT9pPEN6dX8hnpcewzYRx3d0NPoVkiD0R0mmHZD_5pF9CuanLWnXlu34xJhNt12Djl91D7S4oJOV2ttIh3-Kp3fanuDNPlZZ7bKY3Kw0F3Ak98-Js93t0-Th2w2v59OrmaZ4VzGjAOC1XVpbI21sLY0vBS8qi2viwqsKAGERtE2rWzaoq2kAFk1hQZrjSiE4GNyttu79sP7BkNUy2Hj-2SpoIaykRUXPFHljjJ-CMHjQq29W2n_qYCpnwTUUv0moH4SUCwVyKS73OkwnfDh0m8wDtOp1nk0UdnB_bPhG3pSk5Q</recordid><startdate>201610</startdate><enddate>201610</enddate><creator>Ruiz-Arias, José A.</creator><creator>Gueymard, Christian A.</creator><creator>Santos-Alamillos, Francisco J.</creator><creator>Quesada-Ruiz, Samuel</creator><creator>Pozo-Vázquez, David</creator><general>Elsevier Ltd</general><general>Pergamon Press Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>201610</creationdate><title>Bias induced by the AOD representation time scale in long-term solar radiation calculations. Part 2: Impact on long-term solar irradiance predictions</title><author>Ruiz-Arias, José A. ; Gueymard, Christian A. ; Santos-Alamillos, Francisco J. ; Quesada-Ruiz, Samuel ; Pozo-Vázquez, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-31e1da85cd8e84dd5c354368d38261d45114ae4b9b79b2b67417692a1ddc42443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aerosols</topic><topic>AOD time scale</topic><topic>Bankability</topic><topic>Bias</topic><topic>DNI</topic><topic>Monte Carlo</topic><topic>Solar energy</topic><topic>Solar radiation</topic><topic>Standard deviation</topic><topic>Ultraviolet radiation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ruiz-Arias, José A.</creatorcontrib><creatorcontrib>Gueymard, Christian A.</creatorcontrib><creatorcontrib>Santos-Alamillos, Francisco J.</creatorcontrib><creatorcontrib>Quesada-Ruiz, Samuel</creatorcontrib><creatorcontrib>Pozo-Vázquez, David</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Solar energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ruiz-Arias, José A.</au><au>Gueymard, Christian A.</au><au>Santos-Alamillos, Francisco J.</au><au>Quesada-Ruiz, Samuel</au><au>Pozo-Vázquez, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bias induced by the AOD representation time scale in long-term solar radiation calculations. Part 2: Impact on long-term solar irradiance predictions</atitle><jtitle>Solar energy</jtitle><date>2016-10</date><risdate>2016</risdate><volume>135</volume><spage>625</spage><epage>632</epage><pages>625-632</pages><issn>0038-092X</issn><eissn>1471-1257</eissn><coden>SRENA4</coden><abstract>•The AOD time scale affects the calculated long-term solar radiation.•Coarse AOD time scales bias the calculated long-term solar radiation.•The impact of AOD time scale on calculated long-term solar radiation is studied.
Long-term solar irradiance modelled using monthly-average aerosol optical depth (AOD) is biased compared to what is obtained using daily AOD values. This is due to a modification of the AOD frequency distribution that results from the coarsening of the time scale, combined with the nonlinear sensitivity of irradiance to AOD. The resulting alteration of the mean and standard deviation of AOD has been evaluated worldwide in this study’s Part 1. Here, the focus is to evaluate how the progressive coarsening (in 1-day steps) of the temporal representation of AOD affects the calculated long-term values of both global and direct irradiances. It is shown that, on average, their long-term values can be underestimated by as much as ≈6Wm−2 (≈1.2%) and ≈40Wm−2 (≈8%) respectively, over regions of North Africa and Asia, with respect to the reference case for which daily AODs are used. This irradiance underestimation can be parameterized as a function of the AOD time scale by means of four sitedependent parameters. The proposed parameterization provides a simple way to correct the long-term irradiance datasets that are commonly obtained using monthly-average AOD data.</abstract><cop>New York</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.solener.2016.06.017</doi><tpages>8</tpages></addata></record> |
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subjects | Aerosols AOD time scale Bankability Bias DNI Monte Carlo Solar energy Solar radiation Standard deviation Ultraviolet radiation |
title | Bias induced by the AOD representation time scale in long-term solar radiation calculations. Part 2: Impact on long-term solar irradiance predictions |
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