The Atmospheric Water Cycle over South America as Seen in the New Generation of Global Reanalyses

We assess precipitation and key atmospheric water-cycle terms over South America (SA) in three modern reanalyses—MERRA-2, ERA5, and CFSR/CFSv2—during 1980–2021. Two observation-based datasets (CPC Unified Gauge and MSWEP-V2) serve as references to bracket observational uncertainty. Diagnostics include regional means for the Tropical and Subtropical South Atlantic Convergence Zone (TSACZ, SSACZ) and southeastern South America (SESA), Taylor-diagram skill metrics, and a vertically integrated moisture-budget residual as a proxy for closure. All products reproduce the large-scale spatial and seasonal patterns, but disagreements persist over the Andes and parts of the central/northern Amazon. Relative to CPC/MSWEP-V2, MERRA-2 exhibits the smallest precipitation biases and the highest correlations, followed by ERA5; CFSR/CFSv2 shows a warm-season wet bias. Moisture-budget residuals are smallest in MERRA-2, moderate in ERA5, and largest in CFSR/CFSv2, with clear regional and seasonal dependence. These results document improvements in the new generation of reanalyses while highlighting persistent challenges in gauge-sparse and complex-orography regions. For hydroclimate applications that depend on internally consistent P, E, moisture-flux convergence, and runoff, MERRA-2 provides the most coherent depiction among the three, whereas ERA5 is a strong alternative when higher spatial/temporal resolution or dynamical fields are needed and CFSR/CFSv2 should be applied with caution for warm-season precipitation and closure-sensitive analyses.

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Publication Details

Journal
Hydrology
Published
2025-11-29
DOI
https://doi.org/10.3390/hydrology12120316
Primary Topic
Climate variability and models
Type
article
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article

The Atmospheric Water Cycle over South America as Seen in the New Generation of Global Reanalyses

Mário Francisco Leal de Quadro, Cássio Aurélio Suski, Fabrício Daniel dos Santos Silva, Caroline Bresciani et al.
Hydrology
Climate variability and models
article

The Atmospheric Water Cycle over South America as Seen in the New Generation of Global Reanalyses

Mário Francisco Leal de Quadro, Cássio Aurélio Suski, Fabrício Daniel dos Santos Silva, Caroline Bresciani, Michel Nobre Muza, Diego Portalanza, Dirceu Luís Herdies, Ernesto Hugo Berbery
article en

Abstract

We assess precipitation and key atmospheric water-cycle terms over South America (SA) in three modern reanalyses—MERRA-2, ERA5, and CFSR/CFSv2—during 1980–2021. Two observation-based datasets (CPC Unified Gauge and MSWEP-V2) serve as references to bracket observational uncertainty. Diagnostics include regional means for the Tropical and Subtropical South Atlantic Convergence Zone (TSACZ, SSACZ) and southeastern South America (SESA), Taylor-diagram skill metrics, and a vertically integrated moisture-budget residual as a proxy for closure. All products reproduce the large-scale spatial and seasonal patterns, but disagreements persist over the Andes and parts of the central/northern Amazon. Relative to CPC/MSWEP-V2, MERRA-2 exhibits the smallest precipitation biases and the highest correlations, followed by ERA5; CFSR/CFSv2 shows a warm-season wet bias. Moisture-budget residuals are smallest in MERRA-2, moderate in ERA5, and largest in CFSR/CFSv2, with clear regional and seasonal dependence. These results document improvements in the new generation of reanalyses while highlighting persistent challenges in gauge-sparse and complex-orography regions. For hydroclimate applications that depend on internally consistent P, E, moisture-flux convergence, and runoff, MERRA-2 provides the most coherent depiction among the three, whereas ERA5 is a strong alternative when higher spatial/temporal resolution or dynamical fields are needed and CFSR/CFSv2 should be applied with caution for warm-season precipitation and closure-sensitive analyses.

HydrologyVol. 12(12)
Universidade Federal de Santa Maria (BR), Universidade do Vale do Itajaí (BR), Earth System Science Interdisciplinary Center (US), Universidad Agraria del Ecuador (EC), Cooperative Institute for Climate and Satellites (US), Instituto Superior Tecnológico de Artes del Ecuador (EC), Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (BR), University of Maryland, College Park (US), Universidade Federal de Alagoas (BR), Instituto Nacional de Pesquisas Espaciais (BR)
Openalex Percentile: Top 65%
Climate variability and models
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