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Filipe Carvalho Lemos on Muck Rack

Filipe Carvalho Lemos

As seen in: Wiley Online Library, Taylor & Francis Online
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Articles

The design of the Brazilian Sub-Daily Rainfall dataset (BR-SDR): two decades of high-time-resolution data in Brazil

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By Guillaume Bertrand, Filipe Carvalho Lemos, Abner Silva, Marcela Antunes Meira
| Taylor & Francis Online
Abstract Recently, international initiatives have sought sub-daily rainfall data in Brazil for use in global rainfall studies, but their efforts have resulted in few. This difficulty is partly due to a lack of centralisation/uniformisation of the Brazilian information systems. The study herein documents the first effort to collate the Brazilian Sub-Daily Rainfall dataset (BR-SDR), considering data between 2000 and 2023 from four national data sources.
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IMERG BraMaL: An improved gridded monthly rainfall product for Brazil based on satellite‐based IMERG estimates and machine learning techniques

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By Guillaume Bertrand, Filipe Carvalho Lemos
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article. REFERENCES & (2018) A fusion-based methodology for meteorological drought estimation using remote sensing data. Remote Sensing of Environment, 211, 229–247. Available from: https://doi.org/10.1016/j.rse.2018.04.001 (1992) An introduction to kernel and nearest-neighbor nonparametric regression.
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