EVALUATION OF TRMM 3B43V7 SATELLITE PRECIPITATION IN THE PANTANAL OF MATO GROSSO DO SUL IN THE YEARS 1998 TO 2019: Evaluation of TRMM 3B43V7 satellite precipitation in the Pantanal

Amaury de Souza; Laura Thebit Almeida; Marcel Carvalho Abreu; José Francisco de Júnior Oliveira Júnior; Ivana Pobocikova; Renata Graf

doi:10.4215/rm2022.e21023

Autor/innen

Amaury de Souza Federal University of Mato Grosso do Sul, Campo Grande (MS), Brazil Autor/in http://orcid.org/0000-0001-8168-1482
Laura Thebit Almeida Federal University of Visoça, Visoça (CE), Brazil Autor/in http://orcid.org/0000-0002-4501-134X
Marcel Carvalho Abreu University of Rio de Janeiro, Seropédica (RJ), Brazil Autor/in http://orcid.org/0000-0002-6457-421X
José Francisco de Júnior Oliveira Júnior Federal University of Alagoas, Maceió, (AL), Brazil Autor/in http://orcid.org/0000-0002-6131-7605
Ivana Pobocikova University of Žilina, Žilina, Slovakia Autor/in http://orcid.org/0000-0003-4357-260X
Renata Graf . Adam Mickiewicz University, Poznań, Poland. Autor/in http://orcid.org/0000-0003-1518-4773

DOI:

https://doi.org/10.4215/rm2022.e21023

Schlagwörter:

remote sensing

Abstract

Remote sensing can assist in the acquisition of scarce surface data. The analyzes for validation of the precipitation product estimated by the TRMM satellite (Tropical Rainfall Measuring Mission) were carried out with the precipitation data observed on the surface during the period from 1998 to 2019. For this purpose, precipitation data from the Pantanal biome meteorological stations were used, located between the 16 and 22°S parallels and the 55 and 58°W meridians, and compared with the data from the TRMM 3B42 V7 product algorithms. Statistical analysis was performed based on the correlation coefficient, root mean square error (RMSE), and relative bias (BIAS) between the monthly precipitation data observed on the surface and the estimated precipitation data. The results found for product 3B43 V7 indicated that the precipitation estimates were representative when compared to the surface observations. However, when compared for the rainy and dry periods, there was underestimation and overestimation, respectively, of the product. The product 3B42 V7 satisfactorily represents the precipitation that occurs on the surface.

Keywords: Tropical Rainfall, Remote Sensing, Conventional Meteorological Observation Precipitation Estimate.

Autor/innen-Biografien

Amaury de Souza, Federal University of Mato Grosso do Sul, Campo Grande (MS), Brazil

PhD in Environmental Technologies Federal University of Mato Grosso do Sul (2013).
Laura Thebit Almeida, Federal University of Visoça, Visoça (CE), Brazil

Master's degree in Applied Meteorology from the Federal University of Viçosa (UFV), city of Viçosa, completed in 2017. Today he is in the doctoral program in Applied Meteorology, from the Federal University of Viçosa (UFV), with a research line in Hydroclimatology. In this segment, he has sought specialization in the area of water resources, water and soil conservation, GIS and data geoprocessing.
Marcel Carvalho Abreu, University of Rio de Janeiro, Seropédica (RJ), Brazil

PhD in Agronomy (Applied Meteorology) from the Federal University of Viçosa (2018). He is currently an adjunct professor at the Institute of Forestry at the Federal Rural University of Rio de Janeiro, working at the Department of Environmental Sciences. He works mainly in the areas of agrometeorology, modeling of plant growth and production, hydroclimatology and watershed management.
José Francisco de Júnior Oliveira Júnior, Federal University of Alagoas, Maceió, (AL), Brazil

PhD in Atmospheric Sciences, in Civil Engineering from the Federal University of Rio de Janeiro - COPPE (2008) and Post-Doctorate in Mechanical Engineering - COPPE/UFRJ (2011) in the area of Transport Phenomena (Fluid Mechanics). Founding member of UNEMET (National Union of Scholars in Meteorology - http://www.unemet.org.br/) - (2002). She acted as Supervisory Internship Advisor linked to the CIEC (Intergrade Coordination of Internships and Contest) of projects with Escola Pública de Seropédica. Participation as Advisor in the Project Young Talents for Science financed by FAPERJ (2004). Participation as an Advisor in the Supervised Guidance Project at UFRRJ through SINTEEG (School/Company/Government Integration Sector) (2011). Participation in Extension Projects at UFRJ, called (1) El Nio: Extending Horizons and Frontiers of Time; (2) FEEL: Discovering the Signs of the Time; (3) Living Atmosphere and (4) GIS-Schools - Extension Activities of the Department of Meteorology - UFRJ (2010). Scholarship holder for Industrial Technological Development in categories DTI/7B and 7A (CNPq-MCT) at the National Nuclear Energy Commission - CNEN, in the areas of Radiological Safety in Mining-Industrial Installations and in Radioactive Waste Deposits, from 2005 to 2010. Participation in the Air Quality Prognosis and Interdisciplinary Research Groups on Remote Sensing, Meteorology, Oceanography and Applications - UFRJ. Participation as Research Associate in the Universities of UBU (University of Burgos - Spain) - PKNU (Purkyong National University - South Korea). Participation as Researcher-Collaborator in the Laboratory of Modeling of Marine and Atmospheric Processes (LAMMA) - Computational Nucleus for the Study of Air Quality - NCQAr-UFRJ (Federal University of Rio de Janeiro - Rio de Janeiro). Member of the European Geophysical Society - COSIS.net. Currently, Associate Professor I at the Institute of Atmospheric Sciences (ICAT) at the Federal University of Alagoas (UFAL) and leader of the Laboratory of Environment and Applied Meteorology (LAMMA). Former Professor at the Instituto de Floresta (IF) - Department of Environmental Sciences (DCA) at the Federal Rural University of Rio de Janeiro (UFRRJ) from 2011 to 2017. Professor of the Postgraduate Courses in Biosystems Engineering at the Fluminense Federal University (PGEB) - UFF, of the Postgraduate Studies in Sustainable Development Practices (PPGPDS) - UFRRJ, of the Postgraduate Studies in Meteorology (PPGMET) - UFAL and Ex- Professor of the Graduate Program in Environmental and Forestry Sciences (PPGCAF) - (Collaborator). As supervisor and co-supervisor he has already formed (13) Masters and (2) Doctors. Reviewer for national (12) and international (22) journals. Currently, I participate in the Applied Geotechnology Group in Agriculture and Forestry (GAAF) as a guest researcher at the State University of Mato Grosso (UNEMAT) and Associate Editor of the Journal of Agro-Environmental Sciences (http://periodicos.unemat.br/index .php/rcaa/index) from UNEMAT. Editor-in-Chief of Meteorology and Climatology of the Journal of Atmospheric Science Research (http://ojs.bilpublishing.com/index.php/jasr/). ICAT/UFAL Extension Coordinator (2018). He has experience in Geosciences, with emphasis on Environmental Meteorology, Micrometeorology, Atmospheric Modeling, Mountain and Coastal Meteorology, Agrometeorology, Urban Meteorology, Climatology and Fire Meteorology, working mainly on the following topics: Climate and Health, Catastrophes and Natural Disasters, Layer Atmospheric Limit, Statistical Methods, GIS Tools, Meteorological Radar, Computational Modeling, Air Quality, Atmospheric Pollution.
Ivana Pobocikova, University of Žilina, Žilina, Slovakia

Professor, Department of Applied Mathematics, University of Žilina. Univerzitna 8215/1, 01026, Žilina, Slovakia. 79070-900.
Renata Graf, . Adam Mickiewicz University, Poznań, Poland.

Ph.D., D.Sc. Professor UAM, Department of Hydrology and Water Management, Institute of Physical Geography and Environmental Planning, Adam Mickiewicz University, Bogumiła Krygowskiego 10 str., 61-680 Poznań, Poland

EVALUATION OF TRMM 3B43V7 SATELLITE PRECIPITATION IN THE PANTANAL OF MATO GROSSO DO SUL IN THE YEARS 1998 TO 2019