Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado

Smoke aerosol plumes generated during the biomass burning season in Brazil suffer long-range transport, resulting in large aerosol optical depths over an extensive domain. As a consequence, downward surface solar irradiance, and in particular the direct component, can be significantly reduced. Accur...

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Autores principales:	Madeleine S. G. Casagrande, Fernando R. Martins, Nilton E. Rosário, Francisco J. L. Lima, André R. Gonçalves, Rodrigo S. Costa, Maurício Zarzur, Marcelo P. Pes, Enio Bueno Pereira
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	solar resource mapping direct normal irradiance <i>δ</i>-Eddington approximation biomass burning Science Q
Acceso en línea:	https://doaj.org/article/5abe4183b1e5417687cd3e88ad3f915b
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spelling	oai:doaj.org-article:5abe4183b1e5417687cd3e88ad3f915b2021-11-25T18:53:58ZNumerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado10.3390/rs132245272072-4292https://doaj.org/article/5abe4183b1e5417687cd3e88ad3f915b2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4527https://doaj.org/toc/2072-4292Smoke aerosol plumes generated during the biomass burning season in Brazil suffer long-range transport, resulting in large aerosol optical depths over an extensive domain. As a consequence, downward surface solar irradiance, and in particular the direct component, can be significantly reduced. Accurate solar energy assessments considering the radiative contribution of biomass burning aerosols are required to support Brazil’s solar power sector. This work presents the 2nd generation of the radiative transfer model BRASIL-SR, developed to improve the aerosol representation and reduce the uncertainties in surface solar irradiance estimates in cloudless hazy conditions and clean conditions. Two numerical experiments allowed to assess the model’s skill using observational or regional MERRA-2 reanalysis AOD data in a region frequently affected by smoke. Four ground measurement sites provided data for the model output validation. Results for DNI obtained using <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>δ</mi></mrow></semantics></math></inline-formula>-Eddington scaling and without scaling are compared, with the latter presenting the best skill in all sites and for both experiments. An increase in the relative error of DNI results obtained with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>δ</mi></mrow></semantics></math></inline-formula>-Eddington optical depth scaling as AOD increases is evidenced. For DNI, MBD deviations ranged from −2.3 to −0.5%, RMSD between 2.3 and 4.7% and OVER between 0 and 5.3% when using <i>in-situ</i> AOD data. Overall, our results indicate a good skill of BRASIL-SR for the estimation of both GHI and DNI.Madeleine S. G. CasagrandeFernando R. MartinsNilton E. RosárioFrancisco J. L. LimaAndré R. GonçalvesRodrigo S. CostaMaurício ZarzurMarcelo P. PesEnio Bueno PereiraMDPI AGarticlesolar resource mappingdirect normal irradiance<i>δ</i>-Eddington approximationbiomass burningScienceQENRemote Sensing, Vol 13, Iss 4527, p 4527 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	solar resource mapping direct normal irradiance <i>δ</i>-Eddington approximation biomass burning Science Q
spellingShingle	solar resource mapping direct normal irradiance <i>δ</i>-Eddington approximation biomass burning Science Q Madeleine S. G. Casagrande Fernando R. Martins Nilton E. Rosário Francisco J. L. Lima André R. Gonçalves Rodrigo S. Costa Maurício Zarzur Marcelo P. Pes Enio Bueno Pereira Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado
description	Smoke aerosol plumes generated during the biomass burning season in Brazil suffer long-range transport, resulting in large aerosol optical depths over an extensive domain. As a consequence, downward surface solar irradiance, and in particular the direct component, can be significantly reduced. Accurate solar energy assessments considering the radiative contribution of biomass burning aerosols are required to support Brazil’s solar power sector. This work presents the 2nd generation of the radiative transfer model BRASIL-SR, developed to improve the aerosol representation and reduce the uncertainties in surface solar irradiance estimates in cloudless hazy conditions and clean conditions. Two numerical experiments allowed to assess the model’s skill using observational or regional MERRA-2 reanalysis AOD data in a region frequently affected by smoke. Four ground measurement sites provided data for the model output validation. Results for DNI obtained using <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>δ</mi></mrow></semantics></math></inline-formula>-Eddington scaling and without scaling are compared, with the latter presenting the best skill in all sites and for both experiments. An increase in the relative error of DNI results obtained with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>δ</mi></mrow></semantics></math></inline-formula>-Eddington optical depth scaling as AOD increases is evidenced. For DNI, MBD deviations ranged from −2.3 to −0.5%, RMSD between 2.3 and 4.7% and OVER between 0 and 5.3% when using <i>in-situ</i> AOD data. Overall, our results indicate a good skill of BRASIL-SR for the estimation of both GHI and DNI.
format	article
author	Madeleine S. G. Casagrande Fernando R. Martins Nilton E. Rosário Francisco J. L. Lima André R. Gonçalves Rodrigo S. Costa Maurício Zarzur Marcelo P. Pes Enio Bueno Pereira
author_facet	Madeleine S. G. Casagrande Fernando R. Martins Nilton E. Rosário Francisco J. L. Lima André R. Gonçalves Rodrigo S. Costa Maurício Zarzur Marcelo P. Pes Enio Bueno Pereira
author_sort	Madeleine S. G. Casagrande
title	Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado
title_short	Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado
title_full	Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado
title_fullStr	Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado
title_full_unstemmed	Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado
title_sort	numerical assessment of downward incoming solar irradiance in smoke influenced regions—a case study in brazilian amazon and cerrado
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5abe4183b1e5417687cd3e88ad3f915b
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Numerical Assessment of Downward Incoming Solar Irradiance in Smoke Influenced Regions—A Case Study in Brazilian Amazon and Cerrado

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