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Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 & RT) over the Santo Antônio county (Goiás, Brazil)
Evaluación de las estimaciones de precipitaciones por satélite TRMM (algoritmos 3B42 V7 y RT) en Santo Antônio (Goiás, Brasil)
DOI:
https://doi.org/10.15446/rfna.v70n3.61805Keywords:
Precipitation, Remote sensing, Uncertainty, quantification, TRMM (en)Precipitación, sensoriamento remoto, exactitud, TRMM (es)
The rainfall has a direct influence on the agricultural productivity, being indispensable the knowledge of its spatiotemporal behavior in order to establish trends that will assist in the management of water resources, agricultural planning, hydrological monitoring and prevention of natural disasters. Thus, this work aimed to evaluate the accuracy of the TRMM satellite precipitation estimates in relation to the recorded precipitation. For this, the rainfall data from the weather station located in the municipality of Santo Antônio de Goiás - GO were used, being compared to the data of the TRMM satellite, algorithms 3B42 Version 7 and Real Time, in the period from January 1998 to October 2015. The comparison of the TRMM satellite data showed that the ten-day and monthly precipitation records of the algorithm 3B42 V_7 showed correlation values of 0.69 and 0.65, respectively, in the rainy season; in the dry season, the correlations were of 0.80 and 0.73. The ten-day concordance index ranged from 0.68 to 0.98 and the monthly concordance index ranged from 0.83 to 0.99. The algorithm 3B42 Real Time presented lower statistical results when compared to the 3B42 V_7. The satellite precipitation estimates showed both trends of overestimation and underestimation; however, the satellite data can help research in the absence of information on the rainfall in the region.
La precipitación tiene una influencia directa en la productividad agrícola, siendo indispensable el conocimiento de su comportamiento espacio-temporal para establecer tendencias que ayuden en la gestión de los recursos hídricos, la planificación agrícola, el monitoreo hidrológico y la prevención de desastres naturales. Por lo tanto, este trabajo tuvo como objetivo evaluar la exactitud de las estimaciones de precipitación de satélites de TRMM en relación con la precipitación registrada. Para ello, se utilizaron los datos pluviométricos de la estación meteorológica del municipio de Santo Antônio de Goiás - GO, comparándolos con los conjuntos de datos de satélites TRMM, especialmente los algoritmos 3B42 Versión 7 (V7) y Real Time (RT), durante el período de enero de 1998 a octubre de 2015. La comparación de los datos de satélite TRMM mostró que los registros de precipitación de diez días y mensuales del algoritmo 3B42 V7 presentaron valores de correlación de 0,69 y 0,65, respectivamente, durante la temporada de lluvias. En la estación seca, las correlaciones fueron de 0,80 y 0,73. El índice de concordancia de diez días osciló entre 0,68 y 0,98 y el índice de concordancia mensual osciló entre 0,83 y 0,99. El algoritmo 3B42 RT presentó resultados estadísticos más bajos en comparación con el 3B42 V7. Las estimaciones de la precipitación por satélite mostraron tanto las tendencias de sobreestimación como de subestimación; sin embargo, los datos satelitales pueden ayudar a la investigación en ausencia de información sobre las lluvias en la región.
References
Adler RF, Kidd C, Petty G, Morissey M, Goodman HM. 2001. Intercomparison of global precipitation products: the third precipitation intercomparison project (PIP-3). Bulletin of American Meteorological Society 82(7): 1377–1396. doi: 10.1175/1520-0477(2001)082<1377:IOGPPT>2.3.CO;2
Almazroui M. 2011. Calibration of TRMM rainfall climatology over Saudi Arabia during 1998–2009. Atmosphere Research 99(3-4): 400–414. doi: 10.1016/j.atmosres.2010.11.006
Baú AL, Azevedo CAV, Bresolin AA. 2013.Modelagem da precipitação pluvial diária intra-anual da Bacia Hidrográfica Paraná III associada aos eventos ENOS. En Revista Brasileira de Engenharia Agrícola e Ambiental, http://www.agriambi.com.br/revista/v17n08/v17n08a13.pdf; consulta: enero 2016.
Behrangi A, Khakbaz B, Jaw TC, Agha Kouchak A, Hsu K, Sorooshiam S. 2011. Hydrologic evaluation of satellite precipitation products over a mid-size basin. Journal of Hydrology 397(3-4): 225–237.doi: 10.1016/j.jhydrol.2010.11.043
Berlato MA and Fontana DC. 2003. El Niño e La Niña: impactos no clima, na vegetação e na agricultura do Rio Grande do Sul. Aplicações de previsões climáticas na agricultura. UFRGS, Porto
Alegre. 110 p.
Blain GC. 2010. Séries anuais de temperatura máxima média do ar no estado de São Paulo: Variações e tendências climáticas. En: Revista Brasileira de Meteorologiahttp://www.scielo.br/pdf/rbmet/v25n1/v25n1a10; consulta: enero 2016.
Camargo AP and Sentelhas PC. 1997. Avaliação do desempenho de diferentes métodos de estimativas da evapotranspiração potencial no Estado de São Paulo, Brasil.Revista Brasileira de Agrometeorologia 11(6): 585 – 593. doi: 10.1590/S1415-43662007000600006
Chen S, Hong Y, Cao Q, Kirstetter P, Gouorley JJ, Qi Y, Zhang J, Howard K, Hu J, Wang J. 2013. Performance evaluation of radar and satellite rainfalls for Typhoon Morakot over Taiwan: Are remotesensing products ready for gauge denial scenario of extreme events? Journal Hydrology 506: 4–13. doi: 10.1016/j.jhydrol.2012.12.026
Collischonn B, Allasua D, Collischonn W and Tucci CEM. 2007. Desempenho do satélite TRMM na estimativa de precipitação sobre a bacia do Paraguai superior. En: Revista Brasileira de Cartografia.http:// www.lsie.unb.br/rbc/index.php?journal=rbc&page=article&op=view302 consulta: Enero 2016.
Dinku T, Ceccato P, Grover-Kopec E, Lemma M, Connor SJ and Ropelewski CF. 2007. Validation of satellite rainfall products over East Africa’s complex topography. International Journal of Remote Sensing 28(7): 1503-1526. doi: 10.1080/01431160600954688
Fisher BL. 2004. Climatological validation of TRMM TMI and PR monthly rain products over Oklahoma. Journal of Applied Meteorology 43: 519–535. doi: 10.1175/1520-0450(2004)043<0519:CVOTTA>2.0.CO;2
Franchito SH, Rao VH, Vasques AC, Santo, CME, Conforte JC. 2009. Validation of TRMM precipitation radar monthly rainfall estimates over Brazil. Journal of Geophysical Reserch 114: D02105. doi: 10.1029/2007JD009580.
Grimm A, Ferraz SET, Gomes J. 1998. Precipitation anomalies in Southern Brazil associated with Niño and La Niña events. Journal Climate (11): 2863-2880. doi: /10.1175/1520-0442(1998)011<2863:PAISBA>2.0.CO;2 BGE - Instituto Brasileiro de Geografia e Estatística. 2016. Estados. En: http://www.ibge.gov.br/estadosat/perfil.php?sigla=go. consulta: enero 2016.
Karaseva M, Prakash S, Gairola R. 2011.Validation of highresolution TRMM-3B43 precipitation product using rain gauge measurements over Kyrgyzstan. Theoretical and Applied Climatology 108: 147. doi: 10.1007/s00704-011-0509-6
Kummerow C, Barnes W, Kozu T, Shiue J and Simpson J. 1998. The Tropical Rainfall Measuring Mission (TRMM) Sensor Package. Journal of Atmospheric and Oceanic Technology 15(3): 809–817. doi: 10.1175/1520-0426(1998)0152.0.CO;2.
Kummerow C, Simpson J, Thiele O. 2000. The status of the Tropical Rainfall Measuring Mission (TRMM) after two years in orbit. Journal of Applied Meteorology 39: 1965-1982. doi: 10.1175/1520-0450(2001)040<1965:TSOTTR>2.0.CO;2
Kurtzman D, Navon S, Morin E. 2009. Improving interpolation of daily precipitation for hydrologic modelling: Spatial patterns of preferred interpolators. Hydrological Processes 23: 3281–3291. doi: 10.1002/hyp.7442
Layberry R, Kniveton DR, Todd MC, Kidd C, Bellerby TJ. 2006. Daily precipitation over southern Africa: a new resource for climate studies. Journal of Hydrometeorology 7: 149-159. doi: 10.1175/JHM477.1
Li X, Zhang Q, Xu C. 2014. Assessing the performance of satellitebased precipitation products and its dependence on topography over Poyang Lake Basin. Theoretical and Applied Climatology 115: 713-729. doi: 10.1007/s00704-013-0917-x
Nóbrega R S, Souza E P, Galvíncio J D. 2008. Análise da estimativa de precipitação do TRMM em uma sub-bacia da Amazônia Ocidental. En: Revista Geografia. https://periodicos.ufpe.br/revistas/geografia/article/viewFile/9041/8984; consulta: enero 2016.
Paz AR, Collischonn W. 2011. Avaliação de estimativas de campos de precipitação para modelagem hidrológica distribuída. En: Revista Brasileira de Meteorologia. http://www.scielo.br/pdf/rbmet/v26n1/a10v26n1.pdf;consulta: enero 2016.
Reboita MS, Gan MA, Rocha RP da, Ambrizzi T. 2010. Regimes de Precipitação na América do Sul: Uma revisão bibliográfica. En: Revista Brasileira de Meteorologia. http://www.scielo.br/pdf/rbmet/v25n2/a04v25n2.pdf; consulta: enero 2016.
Salio P, Hobouchian MP, García SY and Vila D. 2014. Evaluation of High-Resolution Satellite Precipitation Estimates over Southern South America using a Dense Rain Gauge Network. Atmospheric Research 116: 146-161. doi: 10.1016/j.atmosres.2014.11.017
Sapiano M and Arkin P. 2009. An intercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data. Journal Hydrometeorology 10(1): 149–166. doi: 10.1175/2008JHM1052.1
Silva SC da, Heinemann AB, Paz RLF da, Amorim A de O. 2014. Informações meteorológicas para pesquisa e planejamento agrícola, referentes ao município de Santo Antônio de Goiás, GO. Embrapa Arroz e Feijão, documentos, Santo Antônio de Goiás. 298 p.
Willmott CJ, Ackleson SG, Davis RE, Feddema JJ, Klink KM, Legates DR, O’Donnell J and Rowe CM. 1985. Statistics for the Evaluation and Comparison of Models. Journal of Geophysical Research. 90(C5): 8995‑9005. doi: 10.1029/JC090iC05p08995.
Woldemeskel FM, Sivakumar B and Sharma A. 2013. Merging gauge and satellite rainfall with specification of associated uncertainty across Australia. Journal of Hydrology 499: 167-176. doi: 10.1016/j.jhydrol.2013.06.039
WMO. 2008. Guide to Meteorological Instruments and Methods of Observation. 7th edition. World Meteorological Organization 8, Geneva Switzerland.
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