The rainfall and erosivity database for Mexico (1968–2017)

Abstract. Soil water erosion is the dominant soil degradation driver worldwide. Rainfall erosivity (also known as the R factor) quantifies the potential of rainfall to cause soil water erosion and is regarded as a dominant factor determining it. This contribution presents the first annual R factor database across the continental Mexico for three climate normals (1968–1997, 1978–2007, and 1988–2017). The workflow comprised three main steps. Firstly, a harmonaized daily rainfall time series dataset was obtained by compiling and harmonizing (through quality control, homogeneity analysis and gap-filling) 5410 raw rainfall time series distributed across Mexico. Secondly, three combinations of the α and β coefficients in a power model were tested to estimate daily R factors using three validation databases at global, national, and local scales. Thirdly, a validated and continuously distributed annual R factor for all three climate normal was obtained. Thus, the database presented herein encompasses 1369 (climate normal 1968–1997), 1678 (climate normal 1978–2007), and 1676 (climate normal 1988–2017) rainfall time series and the corresponding R factor. Our results indicate that the median values of the R factor for the three climate normals were 3245; 3070; and 3327 MJ mm ha−1 h−1 yr−1, respectively. The statistical distribution of the R factor is right-skewed for the three climate normals, with high erosivity values reaching >12 000 MJ mm ha−1 h−1 yr−1 in all cases. The R factor across Mexico showed a strong ecoregional differentiation, with the highest values concentrated in the Tropical Rain Forest and Tropical Dry Forest ecoregions, whereas the North American Deserts and Mediterranean California exhibited the lowest values. The annual behavior of the R factor was similar for the three climate normals. However, September had the highest contribution to the annual R factor. By identifying areas with higher susceptibility to soil loss due to rainfall action and providing spatially distributed and well-documented estimates, we believe that the present R factor database has the potential to support the study of soil water erosion in the continental Mexico at country scale. Said database is available from a scholarly-accepted repository at https://doi.org/10.6073/pasta/dd2b30e28ee25ff2d60d8a9f436951d2 (Varón-Ramírez et al., 2026) for public consultation.

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Publication Details

Journal
Earth system science data
Published
2026-07-27
DOI
https://doi.org/10.5194/essd-18-5423-2026
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
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article

The rainfall and erosivity database for Mexico (1968–2017)

Alberto Gómez‐Tagle, Ronald R. Gutiérrez, Deyanira Lobo, Viviana Marcela Varón‐Ramírez et al.
Earth system science data
Soil erosion and sediment transport
article

The rainfall and erosivity database for Mexico (1968–2017)

Alberto Gómez‐Tagle, Ronald R. Gutiérrez, Deyanira Lobo, Viviana Marcela Varón‐Ramírez, Douglas Andrés Gómez Latorre, Carlos Eduardo Arroyo-Cruz, Blanca Lucía Prado Pano, Mario Guevara
article en

Abstract

Abstract. Soil water erosion is the dominant soil degradation driver worldwide. Rainfall erosivity (also known as the R factor) quantifies the potential of rainfall to cause soil water erosion and is regarded as a dominant factor determining it. This contribution presents the first annual R factor database across the continental Mexico for three climate normals (1968–1997, 1978–2007, and 1988–2017). The workflow comprised three main steps. Firstly, a harmonaized daily rainfall time series dataset was obtained by compiling and harmonizing (through quality control, homogeneity analysis and gap-filling) 5410 raw rainfall time series distributed across Mexico. Secondly, three combinations of the α and β coefficients in a power model were tested to estimate daily R factors using three validation databases at global, national, and local scales. Thirdly, a validated and continuously distributed annual R factor for all three climate normal was obtained. Thus, the database presented herein encompasses 1369 (climate normal 1968–1997), 1678 (climate normal 1978–2007), and 1676 (climate normal 1988–2017) rainfall time series and the corresponding R factor. Our results indicate that the median values of the R factor for the three climate normals were 3245; 3070; and 3327 MJ mm ha−1 h−1 yr−1, respectively. The statistical distribution of the R factor is right-skewed for the three climate normals, with high erosivity values reaching >12 000 MJ mm ha−1 h−1 yr−1 in all cases. The R factor across Mexico showed a strong ecoregional differentiation, with the highest values concentrated in the Tropical Rain Forest and Tropical Dry Forest ecoregions, whereas the North American Deserts and Mediterranean California exhibited the lowest values. The annual behavior of the R factor was similar for the three climate normals. However, September had the highest contribution to the annual R factor. By identifying areas with higher susceptibility to soil loss due to rainfall action and providing spatially distributed and well-documented estimates, we believe that the present R factor database has the potential to support the study of soil water erosion in the continental Mexico at country scale. Said database is available from a scholarly-accepted repository at https://doi.org/10.6073/pasta/dd2b30e28ee25ff2d60d8a9f436951d2 (Varón-Ramírez et al., 2026) for public consultation.

Earth system science dataVol. 18(7)
Autonomous University of Queretaro (MX), Universidad Michoacana de San Nicolás de Hidalgo (MX), Colombian Corporation for Agricultural Research - AGROSAVIA (CO), Universidad de Ingeniería y Tecnología (PE), Universidad Central de Venezuela (VE), Universidad Nacional Autónoma de México (MX)
Consejo Nacional de Ciencia y Tecnología
Climate action
Openalex Percentile: Top 12%
Soil erosion and sediment transport
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