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  • Presentation | H11M: Advancing Hydrologic Modeling and Prediction Using Large-Domain Meteorological and Hydrologic Datasets I Poster
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  • H11M-1042: Evaluation of High-resolution Meteorological Data Products using Flux Tower Observations Across Brazil
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  • Board 1042‚ Hall EFG (Poster Hall)
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Author(s):
Jamie Brown, Hydrology.UK (First Author, Presenting Author)
Rafael Rosolem, University of Bristol
Ross Woods, University of Bristol
Debora Roberti, Federal University of Santa Maria
Humberto da Rocha, University of Sao Paulo


In recent years, global and regional weather datasets have emerged, but validation with real-world data is crucial, especially in diverse regions like Brazil. This study compares seven key weather variables from five datasets with measurements from 11 sites across Brazil’s main biomes. Results show varying performance across variables and timescales, with one reanalysis product outperforming others overall. Findings suggest it may be a strong choice for multi-variable studies in Brazil.



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