Rainfall Intensity–Duration–Frequency Curves Dataset for Brazil

Ivana Patente Torres, Roberto Avelino Cecílio (), Laura Thebit de Almeida, Marcel Carvalho Abreu, Demetrius David da Silva, Sidney Sara Zanetti and Alexandre Cândido Xavier
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Ivana Patente Torres: Department of Agricultural Engeneering, Federal University of Viçosa, Viçosa 36570-900, Brazil
Roberto Avelino Cecílio: Department of Forest and Wood Sciences, Federal University of Espírito Santo, Jerônimo Monteiro 29550-000, Brazil
Laura Thebit de Almeida: Federal Institute of Education, Science and Technology of Northern Minas Gerais, Januária 39480-000, Brazil
Marcel Carvalho Abreu: Department of Environmental Sciences, Forestry Institute, Federal Rural University of Rio de Janeiro, Seropédica 23890-000, Brazil
Demetrius David da Silva: Department of Agricultural Engeneering, Federal University of Viçosa, Viçosa 36570-900, Brazil
Sidney Sara Zanetti: Department of Forest and Wood Sciences, Federal University of Espírito Santo, Jerônimo Monteiro 29550-000, Brazil
Alexandre Cândido Xavier: Department of Forest and Wood Sciences, Federal University of Espírito Santo, Jerônimo Monteiro 29550-000, Brazil

Data, 2025, vol. 10, issue 2, 1-7

Abstract: This is a database containing rainfall intensity–duration–frequency equations (IDF equations) for 6550 pluviographic and pluviometric stations in Brazil. The database was compiled from 370 different publications and contains the following information: station identification, geographic position, size and period of the rainfall series used, parameters of the IDF equations, and literature references. The database is available on Mendeley Data (DOI: 10.17632/378bdcmnc8.1) in the form of spreadsheets and vector files. Since the launch of the Pluvio 2.1 software in 2006, which included 549 IDF equations obtained in the country, this is the largest and most accessible database of IDF equations in Brazil. The data provided may be useful, among other purposes, for designing hydraulic structures, controlling water erosion, planning land use, and water resource planning and management.

Keywords: heavy rainfall; hydraulic design; rainfall disaggregation; pluviographic data (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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