Spatiotemporal variability of precipitation in óbidos microrregion, pará: a study approaching cpc morphing tecnique (2005-2017)
DOI:
https://doi.org/10.51359/2238-6211.2019.238630Keywords:
CMORPH; El Niño; La Niña; remote sensing; AmazonAbstract
Rainfallplays a very important role in assessing risks related to floods, droughts and water resource management, especially in tropical regions. The objective of the study was to implement a statistical analysis to study the spatial and temporal variability of precipitation in the Óbidos microrregion through time series of CPC MORPHing (CMORPH) tecnique during the period from 2009 to 2017, as well as it is relation with El Niño -Southern regulation (ENSO) through data normalization. The results show that the greatest pluviometric accumulations in the Óbidos microregion are mainly concentrated between the months of December and May. In terms of spatial pattern, there were significant changes associated with the ENSO phenomenon, with rainfall deficit during El Niñoand a quality of the precipitation regime in La Niña occurrences in comparison with the neutral years. In addition, the high performance of the CMORPH data allowed the identification of different patterns of atmospheric circulation, representing the annual cycle of the region.
References
ASHOURI, H.; HSU, K-L.; SOROOSHIAN, S.; BRAITHWAITE, D. K.; KNAPP, K. R.; CECIL, L. D.; NELSON, B. R.; PRAT, O. P. PERSIANN-CDR: daily precipitation climate data record from multisatellite observations for hydrological and climate studies. American Meteorological Society, v. 1, n. 1, p. 69-83, 2015.
AMANAJÁS, J. C.; BRAGA, C. C. Padrões espaço-temporal pluviométricos na Amazônia Oriental utilizando análise multivariada. Revista Brasileira de Meteorologia, v. 27, n. 4, p. 423-434, 2012. DOI:
AWANGE, J. L.; FERREIRA, V. G.; FOROOTAN, E.; KHANDU; ANDAM-AKORFUL, S. A.; AGUTU, N. O.; HE, X. F. Uncertainties in remotely sensed precipitation data over Africa. International Journal of Climatology, v. 36, n. 1, p. 303-323, 2016.
BALSAMO, G., ALBERGEL, C., BELJAARS, A., BOUSSETTA, S., BRUN, E., CLOKE, H.; DEE, D.; DUTRA, E.; MUÑOZ-SABATER, J.; PAPPENBERGER, F.; ROSNAY, P.; STOCKDALE, T.; VITART, F. ERA-Interim/Land: a global land surface reanalysis data set. Hydrology and Earth System Sciences, v. 19, n.1, p. 389–407, 2015.
BARNARD, P. L.; SHORT, A. D.; HARLEY, M. D.; SPLINTER, K. D.; VITOUSEK, S.; TURNER, I. L.; ALLAN, J.; BANNO, M.; BRYAN, K. R.; DORIA, A.; HANSEN, J. E.; KATO, S.; KURIYAMA, Y.; RANDALL-GOODWIN, E.; RUGGIERO, P.; WALKER, I. J.; HEATHFIELD, D. Coastal vulnerability across the Pacific dominated by El Niño-Southern Oscillation. Nature Geoscience, v. 8, n. 1, p. 801-807, 2015. DOI: doi.org/10.1038/ngeo2539.
BECK, H. E.; VERGOPOLAN, N.; PAN, M.; LEVIZZANI, V.; VAN-DIJK, A. I. J. M.; WEEDON, G. P.; BROCCA, L.; PAPPENBERGER, F.; HUFFMAN, G. J.; WOOD, E. F. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrologycal modeling. Hydrological EarthSystem Science, v. 21, p. 6201-6217, 2017.
BELAY, S.; ZAITCHIK, B. F.; FOLTZ, J. D. Agroecosystem specific climate vulnerability analysis: application of the livelihood vulnerability index to a tropical highland region. Mitigation and Adaptation Strategies for Global Change, v. 21, n. 1, p. 39-65, 2014.
CECÍLIO, R. A.; SILVA, K. R.; XAVIER, A. C.; PEZZOPANE, J. R. M. Método para a espacialização dos elementos do balanço hídrico climatológico. Pesquisa Agropecuária Brasileira, v. 47, n.4, p. 478-488, 2012.
SCHNEIDER, U.; BECKER, A.; FINGER, P.; MEYER-CHRISTOFFER, A.; ZIESE, M.; RUDOLF, B. GPCC's new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle.Theoretical and Applied Climatology, v. 115, n. 1, p. 15-40, 2014.
COUTINHO, E. C.; ROCHA, E. J. P.; LIMA, A. M. M.; RIBEIRO, H. M. C.; GUTIERREZ, L. A. C. L.; BARBOSA, A. J. S.; PAES, G. K. A. A.; TAVARES, P. A. Variabilidade climática da precipitação na bacia Amazônica brasileira entre 1982 e 2012. Revista Brasileira de Climatologia, v. 22, n. 1, p. 476-500, 2018.
DUAN, Z.; LIU, J.; TUO, Y.; CHIOGNA, G.; DISSE, M. Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales. Science of the Environmental, v. 573, n. 1, p. 1536-1553, 2016.
EMERTON, R.; CLOKE, H. L.; STEPHENS, E. M.; ZSOTER, E.; WOOLNOUGH, S. J.; PAPPENBERGER, F. Complex Picture for likelihood of ENSO-driven flood hazard. Nature Communications, v. 8, n. 1, p. 1-9, 2017.
FALCK, A. S.; VILA, D.; TOMASELLA, J.; MAGGIONI, V.; DINIZ, F. L. R. Avaliação de um modelo estocástico de erro multidimensional aplicado a estimativas de precipitação por satélite. Revista Brasileira de Meteorologia, v. 31, n.1, p. 52-63, 2016.
FAO. Brazilian agriculture: Prospects and challenges. In: OECD-FAO Agricultural Outlook 2015, OECD Publishing, Paris. Disponível em: http://dx.doi.org/10.1787/agr_outlook-2015-5-en. Acesso em agos. 2016.
FUNK, C.; PETERSON, P.; LANDSFELD, M.; PEDREROS, D.; VERDIN, J.; SHUKLA, S.; HUSAK, G.; ROWLAND, J.; HARRISON, L.; HOELL, A.; MICHAELSEN, J. The climate hazards infrared precipitation with stations –a new environmental record for monitoring extremes. Scientific Data, v. 2, n. 1, p. 1-21, 2015.
GERMANO, M. F.; VITORINO, M. I.; COHEN, J. C. P.; COSTA, G. B.; SOUTO, J. I. O.; REBELO, M. T. C.; SOUSA, A. M. L. Analysis of the breeze circulations in Eastern Amazon: an observational study. Atmosphere Science Letters, n. 18, p. 67-75, 2017.
GUEDES,A. E. D. S.; CÂNDIDO, L. A.; SANTO, A. R. S. R. Variabilidade do estoque de água continental e sua relação com as cheias e vazantes extremas na Amazônia. Revista Ambiente & Água, v. 8, n. 2, p. 88-99, 2013. DOI: 10.4136/ambi-agua.1137
GUO, H.; CHEN, S.; BAO, A.; HU, J.; Gebregiorgis, A. S.; Xue, X.; Zhang, X. Inter-comparison of high-resolution satellite precipitation products over Central Asia. Remote Sensing, n. 7, p. 7181-7211, 2017.
HARRIS, I., JONES, P.D., OSBORN, T.J., LISTER, D.H. Updated high-resolution grids of monthly climatic observations -the CRU TS3.10 Dataset. International Journal of Climatology, v. 34, n. 1, p. 623–642, 2014.
JIMÉNEZ-MUÑOZ, J. C.; MATTAR, C.; BARICHIVICH, J.; SANTAMARÍA-ARTIGAS, A.; TAKAHASHI, K.; MALHI, Y.; SOBRINO, J. A.;SCHRIER, G. Record-breaking warming and extreme drought in the Amazon rainforest during the course of El Niño 2015-2016. Scientific Reports, v. 6, n. 1, p. 1-7, 2016.
JOYCE, R. J.; JANOWIAK, J. E.; ARKIN, P. A.; XIE, P. CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. Journal of Hydrometeorology, n. 5, p. 487–503, 2004.
JUNK, W. J.; PIEDADE, M. T. F. The Amazon River basin. In: Fraser, H.; Keddy, A. (Ed.). The world’s largest wetlands. Cambridge University Press, 2005, p. 63-117.
KAYANO, M. T.; ANDREOLI, R. V.; SOUZA, R. A. F. Relations between ENSO and South Atlantic SST modes and their effects on the South American rainfall.International Journal of Climatology,v. 33, n. 1, p. 2008-2023, 2013.
KOSUTH, P.; CALLÈDE, J.; LARAQUE, A.; FILIZOLA, N.; GUYOT, J. L.; SEYLER, P.; FRITSCH, J. M.; GUIMARÃES, V. Sea-tide effects on flows in the lower reaches of the Amazon River. Hydrological Processes, v. 23, n. 22, p. 3141-3150, 2009.
LETTENMAIER, D. P.; ALSDORF, D.; DOZIER, J.; HUFFMAN, G. J.; PAN, M.; WOOD, E. F. Inroads of remote sensing into hydrologic science during the WRR era. Water Resources Research, v. 51, n. 9, p. 7309–7342, 2015.
LIU, J.; DUAN, J.; JIANG, J.; ZHU, A. Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China. Advances in Meteorology, v. 2015, p. 1-13, 2015
LOPEZ, L.; STAHLE, D.; VILLALBA, R.; TORBENSON, M.; FENG, S.; COOK, E. Tree ring reconstructed rainfall over the southern Amazon basin. Geophysical Research Letters, v. 44, n. 14, p. 7410-7418, 2017. DOI: 10.1002/2017gl073363
MARENGO, J. A.; ALVES, L. M.; SOARES, W. R.; RODRIGUEZ, D. A.; CAMARGO, H.; RIVEROS, M. P.; PABLÓ, A. D. Two contrasting severe seasonal extremes in Tropical South America in 2012: flood in Amazonia and drought in Northeast Brazil. Journal of Climate, v. 26, n. 1, p. 9137-9154, 2013.
MARENGO, J. A.; ESPINOZA, J. C. Extreme seasonal droughts and flood in Amazonia:causes, trends and impacts. International Journal of Climatological, v. 36, n. 1, p. 1033-1050, 2015.
MEI, Y. W.; ANAGNOSTOU, E. N.; NIKOLOPOULOS, E. I.; BORGA, M. Error analysis of satellite precipitation products in mountainous basins. Journal of Hydrometeorological, v. 15, n. 1, p. 1778–1793, 2014.
NIKOLOPOULOS, E. I.; ANAGNOSTOU, E. N.; BORGA, M. Using high-resolution satellite rainfall products to simulate a major flash flood event in northern Italy. Journal of Hydrometeorological, v. 14, n. 1, p. 171–185, 2013.
NOAA, National Oceanic and Atmospheric Administration (2018). Cold and a warn episodes by season. Adaptado de Oceanic Niño Index (ONI). Disponível em: www.cpc.ncep.noaa.gov/prodects/analysis_monitoring/ensostuff/ensoyrears.html. Acesso em: maio de 2018.
PENEREIRO, J. C.; BADINGER, A.; MACCHERI, N. A.; MESCHIATTI, M. C. Distribuições de tendências sazonais de temperatura média e precipitação nos biomas brasileiros. Revista Brasileira de Meteorologia, v. 33, n. 1, p. 97-113, 2018. DOI: 10.1590/0102-7786331012
PESSOA, F. E. P.; CAMPOS, J. N. B. Ciclo diário de precipitações pluviais em intervalos de cinco minutos no município de Fortaleza. Revista Brasileira de Meteorologia, v. 30, n.2, p. 195-204, 2015.
ROSA, A. G.; SOUZA, A. M. L.; COSTA, J. A.; SOUZA, E. B. Erosividade da chuva em Rondon do Pará, PA, Brasil de 1999 a 2015 e projetada para 2035. Revista Ambiente & Água, v. 11, n. 4, p. 1006-2021, 2016.
SANTOS, C. A. C.; OLIVEIRA, V. G. Trends in extreme climate índices for Pará State, Brazil. Revista Brasileira de Meteorologia, v. 32, n. 1, p. 13-24, 2017. DOI: 10.1590/0102-778632120150053
SANTOS, M. R. S.; VITORINO, M. I.; PIMENTEL, M. A. S. Vulnerabilidade e mudanças climáticas: análise socioambiental em uma mesorregião da Amazônia. Revista Ambiente & Água, v. 12, n. 5, p. 842-854, 2017.
SANTOSO, A.; MCPHADEN, M. J.; CAI, W. The defining characteristics of ENSO extremes and the Strong 2015/2016 El Niño. Reviews of Geophysics, v. 55, n. 1, p. 1079-1129, 2017.
SATYAMURTY, P.; COSTA, C. P. W.; MANZI,A. O. Moisture source for the Amazon Basin: a study of contrasting years. Theoretical and Applied Climatology, v. 111, n. 1, p. 195-209, 2013a.
SATYAMURTY, P.; COSTA, C. P. W.; MANZI, A. O.; CANDIDO, L. A. A quick look at the 2012 record flood in the Amazon basin. Geophysical Research Letters, v. 40, n. 1, p. 1396-1401, 2013b.
SAURRAL, R. I.; CAMILONI, I. A.; BARROS, V. R. Low-frequency variability and trends in centennial precipitation stations in southern South America. International Journal of Climatology, v. 37, n. 4, p. 1774-1793, 2016. DOI: 10.1002/joc.4810
SILVA, R. O. B.; MONTENEGRO, S. M. G. L.; SOUZA, W. M. Tendências de mudanças climáticas na precipitação pluviométrica nas bacias hidrográficas do estado de Pernambuco. Engenharia Sanitária Ambiental, v. 22, n. 3, p. 579-589, 2017.
SILVEIRA, C. S.; SOUZA-FILHO, F. A. S.; MARTINS, E. S. P. R.; OLIVEIRA, J. L.; COSTA, A. C.; NOBREGA, M. T.; SOUZA, S. A.; SILVA, R. F. V. Mudanças climáticas na bacia do rio São Francisco: uma análise para precipitação e temperatura. Revista Brasileira de Recursos Hídricos, v. 21, n. 2, p. 416-428, 2016.
SOUZA, A. C.; CANDIDO, L. A.; ANDREOLI, R. V. Variabilidade interanual e fluxo de umidade sobre a Amazônia usando o QTCM. Revista Brasileira de Meteorologia, v. 33, n. 1, p. 41-56, 2018
SUN, I.; MIAO, C.; DUAN, Q.;ASHOURI, H.; SOROOSHIAN, S.; HSU, K-L.A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons,Reviews of Geophysics,v. 56, n. 1,p. 79-107,2018.
TAPIADOR, F. J.; TURK, F.J.; PETERSEN, W.; HOU, A. Y.; GARCIA-ORTEGA, E.; MACHADO, L. A. T.; ANGELIS, C. F.; SALIO, P.; KIDD, C.; HUFFMAN, G. J.; CASTRO, M. Global precipitation measurement: methods, datasets and applications. Atmospheric Research, v. 104, n.1, p. 70–97, 2012.
TIMPE, K.; KAPLAN, D. The changing hydrology of dammed Amazon. Science Advances, v. 3, n. 11, p. 1-13, 2017. DOI: 10.1126/sciadv.1700611
TORRALBA, V.; RODRÍGUEZ-FONSECA, B.; MOHINO, E.; LOSADA, T. The non-stationary influence of the Atlantic and Pacific Niños on North Eastern South American rainfall. Frontiers in Earth Science, v. 3, n. 1, p. 1-10, 2015.
TOTÉ, C.; PATRÍCIO, D.; BOOGAARD, H.; WIJNGAART, V-D.; TARNAVSKY, E.; FUNK, C. Evaluation of satellite estimates for drought and flood monitoring in Mozambique. Remote Sensing, v. 7, p. 1758-1776, 2015.
TYAQUIÇÃ, P.; VELEDA, D.; LEFÈVRE, N.; ARAÚJO, M.; NORIEGA, C.; CANIAUX, G.; SERVAIN, J.; SILVA, T. Amazon plume salinity response to ocean teleconnections. Frontiers in Marine Science, v. 4, n. 1, p. 1-14, 2017.
VAN HUIJGEVOORT, M. H. J.; HAZENBERG, P.; VAB LANEN, H. A. J.; TEULING, A. J.; CLARK, D. B.; FOLWELL, S.; GOSLING, S. N.; HANASAKI, N.; HEINKE, J.; KOIRALA, S.; STACKE, T.; VOSS, F.; SHEFFIELD, J.; UIJLENHOET, R. Global multimodel analysis of drought inrunoff fro the second half of the twentieth century. Journal of Hydrometeorology, v. 14, p. 1535-1552, 2013. DOI: 10.1175/JHM-D-12-0186.1
WEN, Y.; KIRSTETTER, P.; HONG, Y.; GOURLEY, J. J.; CAO, Q.; ZHANG, J.; FLAMIG, Z.; XUE, X. Evaluation of a method toenhance real-time, ground radar-based rainfall estimates using climatological profiles of reflectivity from space. Journal of Hydrometeorological, v. 17, n. 1, p. 761-775, 2016
XIE, P. P.; XIONG, A. Y. A conceptual model for constructing high-resolution gaugesatellite merged precipitation analyses. Journal of Geophysical Research Atmospheres, v. 116, n. 21, p. 1-14, 2011.
XIE; P.; JOYCE, R.; WU, S.; YOO, S-H.; YAROSH, Y.; SUN, F.; LIN, R. Reprocessed, Bias-Corrected CMORPH Global High-Resolution Precipitation Estimates from 1998. Journal of Hydrometeorology, v. 18, n. 1, p. 1617-1641, 2017.
ZHAN, W.; PAN, M.; WANDERS, N.; WOOD, E. F. Correction of real-time satellite precipitation with satellite soil moisture observations. Hydrology and Earth System Sciences, v. 19, p. 4275-4291, 2015.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Andreza Dantas Santos, Ignázio Oliveira Bechis, Gabriel Figueiredo Miranda, Jefferson Inayan Oliveira Souto, Norma Ely Santos Beltrão

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish in this journal agree to the following terms:
a) Authors retain copyright and grant the REVISTA DE GEOGRAFIA of the Federal University of Pernambuco the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution 4.0 International License (CC BY). This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, provided that attribution is given to the creator. The license permits commercial use.
b) Authors are authorized to enter into separate, additional contractual arrangements for the non-exclusive distribution of the version of the work published in this journal (e.g., posting it to an institutional repository or publishing it as a book chapter), with an acknowledgement of its initial publication in this journal.
c) Authors are permitted and encouraged to post and distribute their work online (e.g., in institutional repositories or on their personal website) at any point before or during the editorial process, as this can lead to productive exchanges, as well as increase the impact and citation of the published work.
d) The contents of the GEOGRAPHY JOURNAL are licensed under a Creative Commons Attribution 4.0 International License. CC BY - . This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, provided that attribution is given to the creator. The license permits commercial use.
In the case of copyrighted material to be reproduced in the manuscript, full attribution must be provided in the text; a supporting document of authorization must be sent to the Editorial Committee as a supplementary document. It is the responsibility of the authors, not the GEOGRAPHY JOURNAL or the editors or reviewers, to indicate, in the article, the authorship of texts, data, figures, images and/or maps previously published elsewhere.