Spatiotemporal distribution of precipitation and its characteristics under tropical atmospheric systems of Brazil: Insights from a large sub‐hourly database

Author:

Lemos Filipe C.1ORCID,Coelho Victor Hugo R.2ORCID,Freitas Emerson da S.3ORCID,Tomasella Javier4ORCID,Bertrand Guillaume F.15ORCID,Meira Marcela A.1ORCID,Filho Geraldo M. Ramos1ORCID,Fullhart Andrew6ORCID,Almeida Cristiano das N.1ORCID

Affiliation:

1. Department of Civil and Environmental Engineering Federal University of Paraíba João Pessoa Brazil

2. Department of Geosciences Federal University of Paraíba João Pessoa Brazil

3. Federal Institute of Education Science and Technology of Paraíba Picuí Brazil

4. National Institute for Space Research Cachoeira Paulista Brazil

5. UMR UFC CNRS 6249 Chrono‐Environment University of Bourgogne Franche‐Comté Montbéliard France

6. USDA ARS Southwest Watershed Research Center Tucson Arizona USA

Abstract

AbstractThe study of rainfall properties at various spatiotemporal scales is deeply important for understanding a large range of socio‐environmental processes and variables (e.g., water resources, agriculture, socio‐ecosystemic services, natural risk assessment). However, such studies on rainfall characteristics, especially at sub‐hourly resolutions, are scarce in large areas of South America due to the lack of a high‐resolution temporal database. The Brazilian National Centre for Monitoring and Early Warning of Natural Disasters (CEMADEN) has gradually implemented, starting in 2013, a sub‐hourly monitoring network composed of approximately 3500 automated rain gauges distributed across Brazil, enabling access to new hydrological studies in this vast tropical country featuring a range of biomes. This study analysed the characteristics of rainfall events for the whole of Brazil on sub‐daily and sub‐hourly timescales, using 7 years of data (from 2014 to 2021) provided by CEMADEN. Rainfall events were defined by the minimum inter‐event time (MIT) and the minimum depth (1 mm). Seven MITs (30, 60, 120, 180, 360, 720, and 1440 min) were considered to evaluate the behaviour of rainfall event characteristics and their relationships. The Gaussian mixture model method was applied to identify regions with similar rainfall patterns according to the MIT. Six groups with homogeneous characteristics were identified, evidencing the climatic diversity of Brazil. The results show that the MIT strongly influences precipitation properties (especially the dry time and the number of events). The highest number of events occurred in the North‐east Coast region, which exceeded 200 events per year (MIT < 60 min), while the lowest number of events was observed in the Semiarid region, which reached only 38 events per year with an MIT of 1440 min. Moreover, the events with the highest rainfall intensities were found in the Central region. The results found in this study provide a better understanding of precipitation and its characteristics in Brazil, highlighting the climatological diversity of this country.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Apoio à Pesquisa do Estado da Paraíba

Universidade Federal da Paraíba

Publisher

Wiley

Subject

Water Science and Technology

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