Investigation of the 3-D actinic flux field in mountainous terrain
During three field campaigns spectral actinic flux was measured from 290–500nm under clear sky conditions in Alpine terrain and the associated O3- and NO2-photolysis frequencies were calculated and the measurement products were then compared with 1-D- and 3-D-model calculations. To do this 3-D-radia...
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creator | Wagner, J.E. Angelini, F. Blumthaler, M. Fitzka, M. Gobbi, G.P. Kift, R. Kreuter, A. Rieder, H.E. Simic, S. Webb, A. Weihs, P. |
description | During three field campaigns spectral actinic flux was measured from 290–500nm under clear sky conditions in Alpine terrain and the associated O3- and NO2-photolysis frequencies were calculated and the measurement products were then compared with 1-D- and 3-D-model calculations. To do this 3-D-radiative transfer model was adapted for actinic flux calculations in mountainous terrain and the maps of the actinic flux field at the surface, calculated with the 3-D-radiative transfer model, are given. The differences between the 3-D- and 1-D-model results for selected days during the campaigns are shown, together with the ratios of the modeled actinic flux values to the measurements. In many cases the 1-D-model overestimates actinic flux by more than the measurement uncertainty of 10%. The results of using a 3-D-model generally show significantly lower values, and can underestimate the actinic flux by up to 30%. This case study attempts to quantify the impact of snow cover in combination with topography on spectral actinic flux. The impact of snow cover on the actinic flux was ~25% in narrow snow covered valleys, but for snow free areas there were no significant changes due snow cover in the surrounding area and it is found that the effect snow-cover at distances over 5km from the point of interest was below 5%. Overall the 3-D-model can calculate actinic flux to the same accuracy as the 1-D-model for single points, but gives a much more realistic view of the surface actinic flux field in mountains as topography and obstruction of the horizon are taken into account.
► UV actiniv flux was measured and modeled in mountainous terrain. ► Impact of snow cover at distances above 5km was below 5%. ► 3-D-model has similar accuracy as 1-D-model. ► The spatial distribution of surface actinic flux is more realistic in 3-D-model. |
doi_str_mv | 10.1016/j.atmosres.2011.07.008 |
format | Article |
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► UV actiniv flux was measured and modeled in mountainous terrain. ► Impact of snow cover at distances above 5km was below 5%. ► 3-D-model has similar accuracy as 1-D-model. ► The spatial distribution of surface actinic flux is more realistic in 3-D-model.</description><identifier>ISSN: 0169-8095</identifier><identifier>EISSN: 1873-2895</identifier><identifier>DOI: 10.1016/j.atmosres.2011.07.008</identifier><identifier>PMID: 26412915</identifier><identifier>CODEN: ATREEW</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Actinic flux ; case studies ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Flux ; Mathematical models ; Meteorology ; Monte Carlo Model ; Mountains ; nitrogen dioxide ; ozone ; photolysis ; Photolysis frequencies ; Radiative transfer ; Snow ; Snow cover ; snowpack ; Spectra ; Spectroradiometry ; Surface albedo ; Terrain ; Topography ; uncertainty ; UV radiation ; valleys</subject><ispartof>Atmospheric research, 2011-11, Vol.102 (3), p.300-310</ispartof><rights>2011 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>2011 Elsevier B.V. All rights reserved. 2011 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c599t-483cf5adbc78aaa619ff2900012a48ec81fbdcfe4bdd0a6cea9d0f0e72fa6ac03</citedby><cites>FETCH-LOGICAL-c599t-483cf5adbc78aaa619ff2900012a48ec81fbdcfe4bdd0a6cea9d0f0e72fa6ac03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0169809511002390$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24720047$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26412915$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wagner, J.E.</creatorcontrib><creatorcontrib>Angelini, F.</creatorcontrib><creatorcontrib>Blumthaler, M.</creatorcontrib><creatorcontrib>Fitzka, M.</creatorcontrib><creatorcontrib>Gobbi, G.P.</creatorcontrib><creatorcontrib>Kift, R.</creatorcontrib><creatorcontrib>Kreuter, A.</creatorcontrib><creatorcontrib>Rieder, H.E.</creatorcontrib><creatorcontrib>Simic, S.</creatorcontrib><creatorcontrib>Webb, A.</creatorcontrib><creatorcontrib>Weihs, P.</creatorcontrib><title>Investigation of the 3-D actinic flux field in mountainous terrain</title><title>Atmospheric research</title><addtitle>Atmos Res</addtitle><description>During three field campaigns spectral actinic flux was measured from 290–500nm under clear sky conditions in Alpine terrain and the associated O3- and NO2-photolysis frequencies were calculated and the measurement products were then compared with 1-D- and 3-D-model calculations. To do this 3-D-radiative transfer model was adapted for actinic flux calculations in mountainous terrain and the maps of the actinic flux field at the surface, calculated with the 3-D-radiative transfer model, are given. The differences between the 3-D- and 1-D-model results for selected days during the campaigns are shown, together with the ratios of the modeled actinic flux values to the measurements. In many cases the 1-D-model overestimates actinic flux by more than the measurement uncertainty of 10%. The results of using a 3-D-model generally show significantly lower values, and can underestimate the actinic flux by up to 30%. This case study attempts to quantify the impact of snow cover in combination with topography on spectral actinic flux. The impact of snow cover on the actinic flux was ~25% in narrow snow covered valleys, but for snow free areas there were no significant changes due snow cover in the surrounding area and it is found that the effect snow-cover at distances over 5km from the point of interest was below 5%. Overall the 3-D-model can calculate actinic flux to the same accuracy as the 1-D-model for single points, but gives a much more realistic view of the surface actinic flux field in mountains as topography and obstruction of the horizon are taken into account.
► UV actiniv flux was measured and modeled in mountainous terrain. ► Impact of snow cover at distances above 5km was below 5%. ► 3-D-model has similar accuracy as 1-D-model. ► The spatial distribution of surface actinic flux is more realistic in 3-D-model.</description><subject>Actinic flux</subject><subject>case studies</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Flux</subject><subject>Mathematical models</subject><subject>Meteorology</subject><subject>Monte Carlo Model</subject><subject>Mountains</subject><subject>nitrogen dioxide</subject><subject>ozone</subject><subject>photolysis</subject><subject>Photolysis frequencies</subject><subject>Radiative transfer</subject><subject>Snow</subject><subject>Snow cover</subject><subject>snowpack</subject><subject>Spectra</subject><subject>Spectroradiometry</subject><subject>Surface albedo</subject><subject>Terrain</subject><subject>Topography</subject><subject>uncertainty</subject><subject>UV radiation</subject><subject>valleys</subject><issn>0169-8095</issn><issn>1873-2895</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqNkkFv1DAQhS0EokvhL1S5ILgkjB07sS8IKFAqVeICZ2vWsVuvErvY3hX8e1zttsCl5eSR_M1o3rxHyAmFjgId3mw6LEvMyeaOAaUdjB2AfERWVI59y6QSj8mqgqqVoMQReZbzBgAEcPWUHLGBU6aoWJEP52Fnc_GXWHwMTXRNubJN335s0BQfvGncvP3ZOG_nqfGhWeI2FPQhbnNTbEq1fE6eOJyzfXF4j8n3z5--nX5pL76enZ--v2iNUKq0XPbGCZzWZpSIOFDlHFN1J8qQS2skdevJOMvX0wQ4GItqAgd2ZA4HNNAfk7f7udfb9WInY0NJOOvr5BdMv3REr__9Cf5KX8ad5lwowVkd8OowIMUf26paLz4bO88YbNWjFaVU9AMbKvn6XpJKoUagkquH0VEOVNRbw3-gILio1vGKDnvUpJiry-5OJgV9EwC90bcB0DcB0DDqGoDaePL3ke7abh2vwMsDgNng7BIG4_Mfjo8MgI-Ve7fnbLV0523S2XgbjJ18sqboKfqHdvkNDJrTTg</recordid><startdate>20111101</startdate><enddate>20111101</enddate><creator>Wagner, J.E.</creator><creator>Angelini, F.</creator><creator>Blumthaler, M.</creator><creator>Fitzka, M.</creator><creator>Gobbi, G.P.</creator><creator>Kift, R.</creator><creator>Kreuter, A.</creator><creator>Rieder, H.E.</creator><creator>Simic, S.</creator><creator>Webb, A.</creator><creator>Weihs, P.</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Science Publishers</general><scope>6I.</scope><scope>AAFTH</scope><scope>IQODW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7X8</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>5PM</scope></search><sort><creationdate>20111101</creationdate><title>Investigation of the 3-D actinic flux field in mountainous terrain</title><author>Wagner, J.E. ; Angelini, F. ; Blumthaler, M. ; Fitzka, M. ; Gobbi, G.P. ; Kift, R. ; Kreuter, A. ; Rieder, H.E. ; Simic, S. ; Webb, A. ; Weihs, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c599t-483cf5adbc78aaa619ff2900012a48ec81fbdcfe4bdd0a6cea9d0f0e72fa6ac03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Actinic flux</topic><topic>case studies</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Flux</topic><topic>Mathematical models</topic><topic>Meteorology</topic><topic>Monte Carlo Model</topic><topic>Mountains</topic><topic>nitrogen dioxide</topic><topic>ozone</topic><topic>photolysis</topic><topic>Photolysis frequencies</topic><topic>Radiative transfer</topic><topic>Snow</topic><topic>Snow cover</topic><topic>snowpack</topic><topic>Spectra</topic><topic>Spectroradiometry</topic><topic>Surface albedo</topic><topic>Terrain</topic><topic>Topography</topic><topic>uncertainty</topic><topic>UV radiation</topic><topic>valleys</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wagner, J.E.</creatorcontrib><creatorcontrib>Angelini, F.</creatorcontrib><creatorcontrib>Blumthaler, M.</creatorcontrib><creatorcontrib>Fitzka, M.</creatorcontrib><creatorcontrib>Gobbi, G.P.</creatorcontrib><creatorcontrib>Kift, R.</creatorcontrib><creatorcontrib>Kreuter, A.</creatorcontrib><creatorcontrib>Rieder, H.E.</creatorcontrib><creatorcontrib>Simic, S.</creatorcontrib><creatorcontrib>Webb, A.</creatorcontrib><creatorcontrib>Weihs, P.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</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>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Atmospheric research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wagner, J.E.</au><au>Angelini, F.</au><au>Blumthaler, M.</au><au>Fitzka, M.</au><au>Gobbi, G.P.</au><au>Kift, R.</au><au>Kreuter, A.</au><au>Rieder, H.E.</au><au>Simic, S.</au><au>Webb, A.</au><au>Weihs, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigation of the 3-D actinic flux field in mountainous terrain</atitle><jtitle>Atmospheric research</jtitle><addtitle>Atmos Res</addtitle><date>2011-11-01</date><risdate>2011</risdate><volume>102</volume><issue>3</issue><spage>300</spage><epage>310</epage><pages>300-310</pages><issn>0169-8095</issn><eissn>1873-2895</eissn><coden>ATREEW</coden><abstract>During three field campaigns spectral actinic flux was measured from 290–500nm under clear sky conditions in Alpine terrain and the associated O3- and NO2-photolysis frequencies were calculated and the measurement products were then compared with 1-D- and 3-D-model calculations. To do this 3-D-radiative transfer model was adapted for actinic flux calculations in mountainous terrain and the maps of the actinic flux field at the surface, calculated with the 3-D-radiative transfer model, are given. The differences between the 3-D- and 1-D-model results for selected days during the campaigns are shown, together with the ratios of the modeled actinic flux values to the measurements. In many cases the 1-D-model overestimates actinic flux by more than the measurement uncertainty of 10%. The results of using a 3-D-model generally show significantly lower values, and can underestimate the actinic flux by up to 30%. This case study attempts to quantify the impact of snow cover in combination with topography on spectral actinic flux. The impact of snow cover on the actinic flux was ~25% in narrow snow covered valleys, but for snow free areas there were no significant changes due snow cover in the surrounding area and it is found that the effect snow-cover at distances over 5km from the point of interest was below 5%. Overall the 3-D-model can calculate actinic flux to the same accuracy as the 1-D-model for single points, but gives a much more realistic view of the surface actinic flux field in mountains as topography and obstruction of the horizon are taken into account.
► UV actiniv flux was measured and modeled in mountainous terrain. ► Impact of snow cover at distances above 5km was below 5%. ► 3-D-model has similar accuracy as 1-D-model. ► The spatial distribution of surface actinic flux is more realistic in 3-D-model.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>26412915</pmid><doi>10.1016/j.atmosres.2011.07.008</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Actinic flux case studies Earth, ocean, space Exact sciences and technology External geophysics Flux Mathematical models Meteorology Monte Carlo Model Mountains nitrogen dioxide ozone photolysis Photolysis frequencies Radiative transfer Snow Snow cover snowpack Spectra Spectroradiometry Surface albedo Terrain Topography uncertainty UV radiation valleys |
title | Investigation of the 3-D actinic flux field in mountainous terrain |
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