1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/45RKFGE |
Repository | sid.inpe.br/mtc-m21d/2021/11.23.18.02 |
Last Update | 2021:11.23.18.02.14 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2021/11.23.18.02.14 |
Metadata Last Update | 2022:04.03.22.27.42 (UTC) administrator |
DOI | 10.3390/rs13224527 |
ISSN | 2072-4292 |
Citation Key | CasagrandeMRLGCZPP:2021:NuAsDo |
Title | Numerical assessment of downward incoming solar irradiance in smoke influenced regions—a case study in brazilian amazon and cerrado |
Year | 2021 |
Month | Nov. |
Access Date | 2024, May 19 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 10360 KiB |
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2. Context | |
Author | 1 Casagrande, Madeleine S. G. 2 Martins, Fernando R. 3 Rosário, Nilton E. 4 Lima, Francisco José Lopes de 5 Gonçalves, André Rodrigues 6 Costa, Rodrigo Santos 7 Zarzur, Antonio Maurício 8 Pes, Marcelo Pizzuti 9 Pereira, Enio Bueno |
Resume Identifier | 1 2 3 4 5 6 7 8 9 8JMKD3MGP5W/3C9JH2E |
ORCID | 1 0000-0002-9414-3146 2 0000-0002-7618-4462 3 0000-0002-9908-6515 4 5 0000-0002-9430-1685 |
Group | 1 2 3 4 DIIAV-CGCT-INPE-MCTI-GOV-BR 5 DIIAV-CGCT-INPE-MCTI-GOV-BR 6 DIIAV-CGCT-INPE-MCTI-GOV-BR 7 DIIAV-CGCT-INPE-MCTI-GOV-BR 8 DIIAV-CGCT-INPE-MCTI-GOV-BR 9 DIIAV-CGCT-INPE-MCTI-GOV-BR |
Affiliation | 1 Universidade Federal de São Paulo (UNIFESP) 2 Universidade Federal de São Paulo (UNIFESP) 3 Universidade Federal de São Paulo (UNIFESP) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 2 3 4 francisco.lopes.lima@gmail.com 5 andrerogon@gmail.com 6 meteorologista@hotmail.com 7 mauricio.zarzur@inpe.br 8 pizzutipes@yahoo.com.br 9 enio.pereira@yahoo.com.br |
Journal | Remote Sensing |
Volume | 13 |
Number | 22 |
Pages | e4527 |
Secondary Mark | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I |
History (UTC) | 2021-11-23 18:02:14 :: simone -> administrator :: 2021-11-23 18:02:16 :: administrator -> simone :: 2021 2021-11-23 18:03:51 :: simone -> administrator :: 2021 2022-04-03 22:27:42 :: administrator -> simone :: 2021 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Biomass burning Direct normal irradiance Solar resource mapping δ
-Eddington approximation |
Abstract | 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 Brazils 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 models 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 δ-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 δ-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. |
Area | CST |
Arrangement | Numerical assessment of... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGP3W34T/45RKFGE |
zipped data URL | http://urlib.net/zip/8JMKD3MGP3W34T/45RKFGE |
Language | en |
Target File | remotesensing-13-04527.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | allowpublisher allowfinaldraft |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46KUATE |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.45.21 4 sid.inpe.br/bibdigital/2022/04.03.22.23 3 |
Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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