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

Autor(es)

Casagrande, Madeleine S. G. ^[1] ; Martins, Fernando R. ^[1] ; Rosario, Nilton E. ^[2] ; Lima, Francisco J. L. ^[3] ; Goncalves, Andre R. ^[3] ; Costa, Rodrigo S. ^[3] ; Zarzur, Mauricio ^[3] ; Pes, Marcelo P. ^[3] ; Pereira, Enio Bueno ^[3]

Afiliação do(s) autor(es)

^[1] Fed Univ Sao Paulo Unifesp, Inst Marine Sci, Rua Carvalho de Mendonca 144, BR-11070102 Santos, SP - Brazil

^[2] Fed Univ Sao Paulo Unifesp, Environm Sci Dept, Rua Sao Nicolau 210, BR-09913030 Diadema, SP - Brazil

^[3] Natl Inst Space Res INPE, Ave Astronautas 1758, BR-12227010 Sao Jose Dos Campos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: REMOTE SENSING; v. 13, n. 22 NOV 2021.
• Citações Web of Science: 0

Resumo

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 delta-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 delta-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 in-situ AOD data. Overall, our results indicate a good skill of BRASIL-SR for the estimation of both GHI and DNI. (AU)

• Processo FAPESP: 14/50848-9 - INCT 2014: INCT para Mudanças Climáticas (INCT-MC)
• Beneficiário: Jose Antonio Marengo Orsini
• Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático
• Processo FAPESP: 19/05361-8 - Impacto dos aerossóis no potencial de energia solar Brasileiro
• Beneficiário: Madeleine Sánchez Gácita Casagrande
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado