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Article

Cluster Analysis Applied to Spatiotemporal Variability of Monthly Precipitation over Paraíba State Using Tropical Rainfall Measuring Mission (TRMM) Data

1
Department of Civil and Environmental Engineering, Federal University of Paraíba, João Pessoa 58051-900, PB, Brazil
2
Department of Geosciences, Federal University of Paraíba, João Pessoa 58051-900, PB, Brazil
*
Author to whom correspondence should be addressed.
Received: 11 January 2019 / Revised: 4 March 2019 / Accepted: 5 March 2019 / Published: 15 March 2019
In Paraíba state, precipitation is strongly affected by several climate systems, such as trade winds, the intertropical convergence zone (ITCZ), easterly wave disturbances (EWDs), and the South Atlantic subtropical high. Accordingly, the objective of this study was to analyze the spatiotemporal variability in precipitation to identify homogeneous trends of that variable and the effects of climate systems in Paraíba state by cluster analysis. The precipitation data used in this study derive from the Tropical Rainfall Measuring Mission (TRMM) satellite for the period from January 1998 to December 2015, and hierarchical clustering was used to classify the sites into different groups with similar trends. The findings show an uneven spatiotemporal precipitation distribution in all mesoregions of the state and considerable monthly precipitation variation in space. The estimated precipitation depth was highest in coastal regions and in high-altitude areas due to orographic precipitation. In general, the precipitation over Paraíba is characterized by strong gradients in the coastal zone towards the continent (Agreste, Borborema, and Sertão mesoregions) and from north to south due to the physiography of the region and the effects of climate systems with different time scales. Finally, the proposed clustering method using TRMM data was effective in characterizing climatic systems. View Full-Text
Keywords: cluster; Paraíba; rainfall; TRMM cluster; Paraíba; rainfall; TRMM
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MDPI and ACS Style

Santos, C.A.G.; Brasil Neto, R.M.; da Silva, R.M.; Costa, S.G.F. Cluster Analysis Applied to Spatiotemporal Variability of Monthly Precipitation over Paraíba State Using Tropical Rainfall Measuring Mission (TRMM) Data. Remote Sens. 2019, 11, 637. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11060637

AMA Style

Santos CAG, Brasil Neto RM, da Silva RM, Costa SGF. Cluster Analysis Applied to Spatiotemporal Variability of Monthly Precipitation over Paraíba State Using Tropical Rainfall Measuring Mission (TRMM) Data. Remote Sensing. 2019; 11(6):637. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11060637

Chicago/Turabian Style

Santos, Celso A.G., Reginaldo M. Brasil Neto, Richarde M. da Silva, and Samir G.F. Costa 2019. "Cluster Analysis Applied to Spatiotemporal Variability of Monthly Precipitation over Paraíba State Using Tropical Rainfall Measuring Mission (TRMM) Data" Remote Sensing 11, no. 6: 637. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11060637

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