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| Autori principali: | , , , |
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| Natura: | Artículo Open Access |
| Pubblicazione: |
Wiley
2026
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| Soggetti: | |
| Accesso online: | https://onlinelibrary.wiley.com/doi/10.1002/hyp.70568 |
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Sommario:
- Comparing ERA5 ‐Land and BR ‐ DWGD Datasets and Their Impacts on Vadose‐Zone Hydrological Modelling in the Brazilian Cerrado Valéria Cardoso Lopes Everton Alves Rodrigues Pinheiro Marcelo Ribeiro Viola Quirijn de Jong van Lier Hydrological Processes ABSTRACT Accurate meteorological forcing is essential for simulating hydrological processes in the vadose zone, particularly in regions with strong climatic seasonality like the Brazilian Cerrado. This study evaluates the performance of the ERA5‐Land reanalysis against a high‐resolution observational product (BR‐DWGD) and quantifies how differences between these datasets propagate through a process‐based soil‐water model. We characterized daily meteorological variables—precipitation, solar radiation, air temperature, relative humidity, and wind speed—from both datasets over a 63‐year period (1961–2023) in the southwest of the MATOPIBA agricultural frontier. Bias correction using Quantile Delta Mapping significantly reduced systematic errors in ERA5‐Land for most variables, though daily precipitation exhibited persistent discrepancies in temporal variability. Trend analysis revealed consistent warming and a decline in early wet‐season rainfall across both datasets. When used to drive the SWAP hydrological model, these meteorological differences notably altered simulated water‐balance partitioning: compared to BR‐DWGD, ERA5‐Land produced lower annual transpiration (−110 mm) and soil evaporation (−20.5 mm), and higher deep drainage (+160 mm). These shifts are attributed primarily to ERA5‐Land's tendency to underestimate rainfall frequency while overestimating intensity, leading to altered soil moisture dynamics and stress timing. Our findings highlight that dataset selection directly influences the physical representation of water fluxes in vadose‐zone models, underscoring the need for careful meteorological input assessment in hydrological studies of data‐scarce, agriculturally sensitive regions. 10.1002/hyp.70568 http://creativecommons.org/licenses/by/4.0/