Comparison of Climate Data from NASA POWER Reanalysis and Data Measured at Surface Weather Stations for Application in Brazilian Paving Projects
DOI:
https://doi.org/10.11137/1982-3908_2024_47_60749Palavras-chave:
Climate, Statistical, PavementsResumo
For the consideration of climate in paving projects, climate data with adequate quality and availability are required. In the Brazilian context, the current practice is to use data measured at the surface meteorological stations of the National Institute of Meteorology (INMET). Another possibility is to use data from reanalyses such as NASA POWER, which has an extensive database and excellent spatial coverage. Thus, this study aims to perform statistical comparisons between NASA POWER climate data and those measured by INMET in different locations in Brazil, to understand and quantify their respective differences and support future analyses regarding the use of NASA POWER reanalysis in projects related to the paving area. For this analysis, hourly climate data of air temperature, solar radiation, wind speed, precipitation, and humidity were considered and evaluated using statistical indices. Based on the analysis of 476 locations in Brazil, in general, the findings indicated that the air temperature, humidity, and solar radiation data from the NASA POWER reanalysis revealed good agreement with the data measured by INMET. However, hourly wind speed and precipitation data from NASA POWER did not show good agreement with the data measured by INMET. The climate data from the NASA POWER reanalysis have great potential for use in future paving projects in the country, mainly in regions with few ground meteorological stations (e.g., the North region). However, it is important to validate its use through pavement performance simulations, especially due to discrepancies in hourly wind speed data.
Referências
Abatzoglou, J.T. 2013, 'Development of gridded surface meteorological data for ecological applications and modelling', International Journal of Climatology, vol. 33, no. 1, pp. 121-31, viewed 2 December 2023, <https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.3413>.
Alves, L.E.R. & Gomes, H.B. 2020, 'Validação da imputação múltipla via Predictive Mean Matching para preenchimento de falhas nos dados pluviométricos da bacia do Médio São Francisco', Anuário do Instituto de Geociências, vol. 43, no. 1, pp. 199-206, viewed 2 December 2023, <https://revistas.ufrj.br/index.php/aigeo/article/view/34111>.
Braga, R.A.H.W., Santos, E.B. & Barros, M.F. 2021, 'Validação de dados de vento da reanálise ERA5-LAND para estimativa de potencial eólico no Estado do Rio de Janeiro', Revista Brasileira de Energia, vol. 27, no. 4, pp. 142-66, viewed 2 December 2023, <https://sbpe.org.br/index.php/rbe/article/view/592>.
Brondani, C., Faccin, C., Specht, L.P., Nummer, A.V., Pereira, D.S., Vestena, P.M. & Baroni, M. 2022, 'Evaluation of moisture susceptibility of asphalt mixtures: Influence of aggregates, visual analysis, and mechanical tests', Journal of Materials in Civil Engineering, vol. 35, no. 22, e04022433, viewed 2 December 2023, <https://ascelibrary.org/doi/10.1061/%28ASCE%29MT.1943-5533.0004603>.
Bustos, M.L., Ferrelli, F. & Piccolo, M.C. 2017, 'Estudio comparativo de tres modelos climáticos en Argentina', Anuário do Instituto de Geociências, vol. 40, no. 1, pp. 34-43, viewed 2 December 2023, <https://revistas.ufrj.br/index.php/aigeo/article/view/18164>.
Cao, Q., Liu, Y., Sun, X. & Yang, L. 2022, 'Country-level evaluation of solar radiation data sets using ground measurements in China satellite application facility on climate monitoring', Energy, vol. 241, no. 122938, viewed 2 December 2023, <https://www.sciencedirect.com/science/article/abs/pii/S036054422103187X?via%3Dihub>.
Cavalcante, R.B.L., Ferreira, D.B.S., Pontes, P.R.M., Tedeschi, R.G., Costa, C.P.W. & Souza, E.B. 2020, 'Evaluation of extreme rainfall indices from CHIRPS precipitation estimates over the Brazilian Amazonia', Atmospheric Research, vol. 238, e104879, viewed 2 December 2023, <https://www.sciencedirect.com/science/article/abs/pii/S0169809519314073?via%3Dihub>.
Claudino, C., Herdies, D.L., Quadro, M.F.L. & Sales Filho, P.C. 2021, 'Validação da reanálise do MERRA-2 com dados observados: Estudo de caso de Itajaí - Santa Catarina', Revista Metodologias e Aprendizado, vol. 4, pp. 106-11, viewed 2 December 2023, <https://publicacoes.ifc.edu.br/index.php/metapre/article/view/1498>.
Costa, J., Pereira, G., Siqueira, M.E., Cardozo, F. & Silva, V.V. 2019, 'Validação dos dados de precipitação estimados pelo CHIRPS para o Brasil', Revista Brasileira de Climatologia, vol. 24, no. 15, pp. 228-43, viewed 2 December 2023, <https://revistas.ufpr.br/revistaabclima/article/view/60237>.
Cunha, M.B., Zegarra, J.R. & Fernandes Júnior, J.L. 2007, 'Revisão da seleção do grau de desempenho (PG) de ligantes asfálticos por estados do Brasil', Congresso de Pesquisa e Ensino em Transportes, Rio de Janeiro, viewed 2 December 2023, <https://repositorio.usp.br/item/001644512>.
Davidson, M.R. & Millsteinv, D. 2022, 'Limitations of reanalysis data for wind power applications', Wind Energy, vol. 25, no. 9, pp. 1646-53, viewed 2 December 2023, <https://onlinelibrary.wiley.com/doi/10.1002/we.2759>.
Dos Santos, T.V., Amorim, R.F.C., Barbosa, H.A. & Silva, F.D.S. 2021, 'Estimativa da Evapotranspiração na Mesorregião do Baixo São Francisco', Revista Brasileira de Meteorologia, vol. 35, no. 5, pp. 981-93, viewed 2 December 2023, <https://www.scielo.br/j/rbmet/a/Z9xQw6tNGTbTzM9K5Xg6qQb/abstract/?lang=pt>.
Faccin, C., Schuster, S.L., Almeida Junior, P.O.B., Vestena, P.M., Specht, L.P., Bueno, L.D. & Leite, L.F.M. 2021, 'Mapas de Grau de Desempenho (PG) de ligantes asfálticos para o Brasil', 35º Congresso de Pesquisa e Ensino em Transportes, viewed 2 December 2023, <https://www.anpet.org.br/anais35/documentos/2021/Infraestrutura/Ligantes%20e%20Misturas%20Asf%C3%A1lticas/5_58_AC.pdf>.
Faccin, C., Schuster, S.L., Nascimento, J.W.S., Pacheco, L.C, Pereira, D.S. & Specht, L.P. 2022, 'Análise estatística de séries de temperatura do ar da reanálise merra-2: Estudo de caso – Rio Grande do Sul', 36º Congresso de Pesquisa e Ensino em Transportes, Fortaleza, viewed 2 December 2023, <https://www.researchgate.net/publication/373360243_ANALISE_ESTATISTICA_DE_SERIES_DE_TEMPERATURA_DO_AR_DA_REANALISE_MERRA-2_ESTUDO_DE_CASO_-_RIO_GRANDE_DO_SUL>.
Farzan, H., Zaim, E.H., Ameri, M. & Amiri, T. 2021, 'Study on effects of wind velocity on thermal efficiency and heat dynamics of pavement solar collectors: An experimental and numerical study', Renewable Energy, vol. 163, no. 24, pp. 1718-28, viewed 2 December 2023, <https://www.sciencedirect.com/science/article/abs/pii/S0960148120316530?via%3Dihub>.
Fritzsons, E., Mantovani, L.E. & Wrege, M.S. 2016, 'Relação entre altitude e temperatura: Uma contribuição ao zoneamento climático no estado de Santa Catarina, Brasil', Revista Brasileira de Climatologia, vol. 18, no. 12, pp. 80-92, viewed 2 December 2023, <https://revistas.ufpr.br/revistaabclima/article/view/39471>.
Gelaro, R., McCarty , W., Suárez, M.J., Todling, R., Molod, A., Takacs, L., Randles, C.A., Darmenov, A., Bosilovich, M.G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., Silva, A.M., Gu, W., Kim, G.K., Koster, R., Lucchesi, R., Merkova, D., Nielsen, J.E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert, S.D., Sienkiewicz, M. & Zhao, B. 2017, 'The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)', Journal of Climate, vol. 30, no. 14, pp. 5419-54, DOI:10.1175/JCLI-D-16-0758.1.
Gopisetti, P., Ceylan, H., Cetin, B. & Kim, S. 2022,'Assessment of satellite-based MERRA climate data in AASHTOWare pavement mechanistic-empirical design', Road Materials and Pavement Design, vol. 23, no. 12, pp. 2876-85, DOI:10.1080/14680629.2021.2009010.
Gubler, R., Partl, M.N., Canestrari, F. & Grilli, A. 2005, 'Influence of water and temperature on mechanical properties of selected asphalt pavements', Materials and Structures, vol. 38, no. 5, pp. 523-32, DOI:10.1007/BF02479543.
Hamal, K., Sharma, S., Khadka, N., Baniya, B., Ali, M., Shrestha, M.S., Xu, T., Shrestha, D. & Dawadi, B. 2020, 'Evaluation of MERRA-2 precipitation products using gauge observation in Nepal', Hydrology, vol. 7, no. 3, 40, DOI:10.3390/hydrology7030040.
Hasan, M.R.M., Hiller, J.E. & You, Z. 2015, 'Effects of mean annual temperature and mean annual precipitation on the performance of flexible pavement using ME design', Road Materials and Pavement Design, vol. 17., no. 7, pp. 647-58, DOI:10.1080/10298436.2015.1019504.
Haslett, K.E., Knott, J.F., Stoner, A.M.K., Sias, J.E., Dave, E.V., Jacobs, J.M., Mo, W. & Hayhoe, K. 2021, 'Climate change impacts on flexible pavement design and rehabilitation practices', Road Materials and Pavement Design, vol. 22, no. 9, pp. 2098-112, DOI:10.1080/14680629.2021.1880468.
Horton, N.J. & Lipstitz, S.R. 2001, 'Multiple imputation in practice: Comparison of software packages for regression models with missing variables', The American Statistician, vol. 55, no. 3, pp. 244-54, viewed 2 December 2023, <https://www.jstor.org/stable/2685809>.
INMET – Instituto Nacional de Meteorologia 2023, INMET, viewed 2 December 2023, <https://bdmep.inmet.gov.br>.
Leite, L.F.M. & Tonial, I.A. 1994, 'Qualidade dos cimentos asfálticos brasileiros segundo as especificações SHRP', 12o Encontro do Asfalto do Instituto Brasileiro de Petróleo, Rio de Janeiro.
Li, Q.J., Wang, K.C.P., Yang, G., Zhan, J.Y. & Qiu, Y. 2018, 'Data needs and implementation of the Pavement ME Design', Transportmetrica A: Transport Science, vol. 15, no. 1, pp. 135-64, DOI:10.1080/23249935.2018.1504254.
Li, R., Schwartz, C.W. & Forman, B. 2013, 'Sensitivity of predicted pavement performance to climate characteristics', in I.L. Al-Qadi & S. Murrell (eds), Airfield and Highway Pavement 2013: Sustainable and efficient pavements, American Society of Civil Engineers, Reston, pp. 760-71.
Miquelluti, D.L. & Ozaki, V.A. 2021, 'Identifying potential regions for a precipitation index insurance product in Paraná – Brazil: A hierarchical clustering approach', Revista Brasileira de Climatologia, vol. 29, pp. 80-98, DOI:10.5380/rbclima.v29i0.72615.
Motta, L.M.G. 1991, 'Método de dimensionamento de pavimentos flexíveis critério de confiabilidade e ensaios de cargas repetidas', doctoral thesis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
NASA – The POWER Project 2023, viewed 2 December 2023, < https://power.larc.nasa.gov/ >.
Nogueira, S.M.C. & Moreira, M.A. 2015, Avaliação das previsões de temperatura do modelo ETA para o Estado do Paraná', Anais XVII Simpósio Brasileiro de Sensoriamento Remoto – SBSR, João Pessoa-PB, viewed 3 December 2023, <http://www.dsr.inpe.br/sbsr2015/files/p0409.pdf>.
R Core Team 2023, R: The R Project for Statistical Computing, R Foundation for Statistical Computing, Viena, viewed 2 December 2023, <https://www.r-project.org/>.
Revelli, V., Huang, C., Marath, A., Teja, S. S., Goli, A. & Mehta, Y. 2023, 'Influence of climatic factors on the pavement performance in MEPDG', in N. Garg & A. Bhasin (eds), Airfield and highway pavements 2023: Design, construction, condition, evaluation, and management of pavements, American Society of Civil Engineers, pp. 75-84, DOI:10.1061/9780784484890.008.
Rosa, S. L. K., Souza, J. L. M., & dos Santos, A. A. 2023, 'Data from NASA Power and surface weather stations under different climates on reference evapotranspiration estimation'. Pesquisa Agropecuária Brasileira, vol. 58, e03261, DOI: 10.1590/S1678-3921.PAB2023.V58.03261.
Santos, A.B.V., Soares, J.B. & Babadopulos, L.F.A.L. 2020, 'Influência da temperatura e da velocidade de tráfego na previsão de área trincada de pavimentos asfálticos', TRANSPORTES, vol. 28, no. 4, pp. 53-66, DOI:10.14295/transportes.v28i4.2394.
Schwartz, C.W., Elkins, G.E., Li, R., Visintine, B.A., Forman, B., Rada, G.R. & Groeger, J.L. 2015, Evaluation of LTPP climatic data for use in mechanistic-empirical pavement design guide calibration and other pavement analysis, Federal Highway Administration.
Schwartz, C.W., Forman, B.A. & Leininger, C.W. 2019, 'Alternative source of climate data for mechanistic–empirical pavement performance prediction', Transportation Research Record: Journal of the Transportation Research Board, vol. 2524, no. 1, pp. 83-91, DOI:10.3141/2524-08.
Siefert, C., Dombrowski Netto, N., Maragon, F., Schultz, G.B., Silva, L.M.R., Fontenelle, T.H. & Santos, I. 2021, 'Avaliação de Séries de Velocidade do Vento de Produtos de Reanálises Climáticas para o Brasil', Revista Brasileira de Meteorologia, vol. 36, no. 4, pp. 689-701, DOI:10.1590/0102-7786360026.
Silva, E.H.L., Silva, F.D.S., Silva Junior, R.S., Pinto, D.D.C., Costa, R.L., Gomes, H.B., Cabral Júnior, J.B., Freitas, I.G.F., & Herdies, D.L. 2022, 'Performance Assessment of Different Precipitation Databases (Gridded Analyses and Reanalyses) for the New Brazilian Agricultural Frontier: SEALBA', Water, vol. 14, no. 9, 1473, DOI:10.3390/w14091473.
Sparks, A. 2018, 'nasapower: A NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client for R', The Journal of Open Source Software, vol. 3, no. 30, 1035, DOI:10.21105/joss.01035.
Sparks, A. 2024, nasapower: NASA-POWER Data from R - R package version 4.2.1, viewed 2 December 2023, <https://CRAN.R-project.org/package=nasapower>.
Specht, L.P., Babadopulos, L.F.A., Benedetto, H., Sauzeat, C. & Soares, J.B. 2017,'Application of the theory of viscoelasticity to evaluate the resilient modulus test in asphalt mixes', Construction and Building Materials, vol. 159, pp. 648-58, DOI:10.1016/j.conbuildmat.2017.05.037.
Tang, G., Clark, M.P., Papalexiou, S.M., Ma, Z. & Hong, Y. 2020. 'Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets', Remote Sensing of Environment, vol. 240, 111697, DOI:10.1016/J.RSE.2020.111697.
Titus-Glover, L. 2021, 'Reassessment of climate zones for high-level pavement analysis using machine learning algorithms and NASA MERRA-2 data', Advanced Engineering Informatics, vol. 50, 101435, DOI:10.1016/j.aei.2021.101435.
Wang, C., Zhou, X., Gao, G., Wang, C., Zhou, X., & Gao, G. 2019, 'Study on climate impacts on asphalt pavement in Tibet, China', Journal of Geoscience and Environment Protection, vol. 7, no. 10, pp. 49-59, DOI:10.4236/gep.2019.710004.
Yang, X., You, Z., Hiller, J. & Watkins, D.W. 2017, 'Sensitivity of flexible pavement design to Michigan’s climatic inputs using pavement ME Design', International Journal of Pavement Engineering, vol. 18, no. 7, pp. 622-32, DOI:10.1080/10298436.2015.1105373.
White, J. W., Hoogenboom, G., Stackhouse, P. W. & Hoell, J. M. 2008, 'Evaluation of NASA satellite-and assimilation model-derived long-term daily temperature data over the continental US', Agricultural and Forest Meteorology, vol. 148, no. 10, pp. 1574-1584, DOI:10.1016/j.agrformet.2008.05.017.
Ziedan, A., Onyango, M., Wu, W., Udeh, S., Owino, J. & Fomunung, I. 2019, 'Comparative analysis between modern-era retrospective analysis for research and applications and updated mechanistic-empirical pavement design guide climate database in the state of Tennessee', Journal of the Transportation Research Board, vol. 2673, no. 6, pp. 279-87, DOI:10.1177/0361198119844242.
Downloads
Publicado
Edição
Seção
Licença
Copyright (c) 2024 Anuário do Instituto de Geociências
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Os artigos publicados nesta revista se encontram sob a llicença Creative Commons — Atribuição 4.0 Internacional — CC BY 4.0, que permite o uso, distribuição e reprodução em qualquer meio, contanto que o trabalho original seja devidamente citado.
Exceto onde indicado de outra forma, o conteúdo deste site é licenciado sob uma licença 