%0 Journal Article
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JH2E
%X Brazil is experiencing continuous growth in the solar energy market over the last years, and it is expected that solar power plants will have a significant contribution to the Brazilian energy matrix soon. The solar irradiance variability is an important issue due to its impact on electricity distribution systems. However, solar energy variability has not been comprehensively evaluated in Brazil. The study aimed to assess the capacity of two numerical models of mesoscale in simulating the solar radiation conditions in the Northeastern region of Brazil. For this, a case study was conducted comparing the surface solar irradiation data acquired in 41 automated weather stations operating in the study area and managed by the Brazilian Institute of Meteorology with estimates provided by two weather mesoscale models BRAMS and WRF. The study indicated that the difference between the model's uncertainties is small (typically less than 5\%) when evaluating the entire region of the Brazilian Northeast. However, local comparisons may show more notable discrepancies reflecting uncertainties in the estimates produced by the models.
%8 May
%N 5
%9 journal article
%T Comparing solar data from NWP models for Brazilian territory
%@electronicmailaddress
%@electronicmailaddress rodrigo.costa@inpe.br
%@electronicmailaddress andre.goncalves@inpe.br
%@electronicmailaddress marcelo.pes@inpe.br
%@electronicmailaddress enio.pereira@inpe.br
%@electronicmailaddress fernando.martins@unifesp.br
%@nexthigherunit 8JMKD3MGPCW/3F3T29H
%@secondarytype PRE PI
%K Solar energy resource assessment, Numerical modeling, Seasonal patterns, Northeastern Brazilian region.
%@archivingpolicy denypublisher allowfinaldraft
%@usergroup self-uploading-INPE-MCTI-GOV-BR
%@usergroup simone
%@group
%@group COCST-COCST-INPE-MCTIC-GOV-BR
%@group COCST-COCST-INPE-MCTIC-GOV-BR
%@group COCST-COCST-INPE-MCTIC-GOV-BR
%@group COCST-COCST-INPE-MCTIC-GOV-BR
%@tertiarymark Trabalho não Vinculado à Tese/Dissertação
%@secondarymark A2_ADMINISTRAÇÃO,_CIÊNCIAS_CONTÁBEIS_E_TURISMO B1_MATERIAIS B1_INTERDISCIPLINAR B1_ENGENHARIAS_III B1_ENGENHARIAS_I B1_CIÊNCIAS_AGRÁRIAS_I B2_ENGENHARIAS_IV B2_EDUCAÇÃO B2_BIODIVERSIDADE B2_ARQUITETURA_E_URBANISMO B3_SAÚDE_COLETIVA B3_MEDICINA_II B3_MEDICINA_I B4_ENGENHARIAS_II B4_BIOTECNOLOGIA B5_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B5_ENSINO B5_CIÊNCIAS_BIOLÓGICAS_III B5_CIÊNCIAS_BIOLÓGICAS_I B5_CIÊNCIA_DA_COMPUTAÇÃO B5_ASTRONOMIA_/_FÍSICA
%@issn 1548-0992
%2 sid.inpe.br/mtc-m21c/2020/05.21.11.58.19
%@affiliation Universidade Federal de São Paulo (UNIFESP)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Universidade Federal de São Paulo (UNIFESP)
%B IEEE Latin America Transactions
%@versiontype publisher
%P 899-906
%4 sid.inpe.br/mtc-m21c/2020/05.21.11.58
%@documentstage not transferred
%D 2020
%V 18
%@doi 10.1109/TLA.2020.9082918
%A Lima, Francisco,
%A Costa, Rodrigo Santos,
%A Gonçalves, André Rodrigues,
%A Pes, Marcelo Pizzuti,
%A Pereira, Enio Bueno,
%A Martins, Fernando R.,
%@dissemination WEBSCI; PORTALCAPES; IEEEXplore; SCOPUS.
%@area CST
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}