Reply to the comment on “Rainfall erosivity in Europe” by Auerswald et al.

降水 索引(排版) 气候学 比例(比率) 环境科学 忽视 腐蚀 自然地理学 气象学 地理 统计 数学 地质学 计算机科学 心理学 地图学 精神科 万维网 古生物学
作者
Panos Panagos,Katrin Meusburger,Cristiano Ballabio,Pasquale Borrelli,Santiago Beguerı́a,Andreas Klik,A. Rymszewicz,Silas Michaelides,Preben Olsen,Melita Perčec Tadić,Juha Aalto,Mónika Lakatos,Alexandru Dumitrescu,Svetla Rousseva,Luca Montanarella,Christine Alewell
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:532: 853-857 被引量:23
标识
DOI:10.1016/j.scitotenv.2015.05.020
摘要

Recently, in the Auerswald et al. (2015) comment on "Rainfall erosivity in Europe", 5 criticisms were addressed: i) the neglect of seasonal erosion indices, ii) the neglect of published studies and data, iii) the low temporal resolution of the data, especially of the maximum rain intensity, iv) the use of precipitation data instead of rain data and the subsequent deviation of the R-factor in Germany and Austria compared with previous studies, and v) the differences in considered time periods between countries. We reply as follows: (i) An evaluation of the seasonal erosion index at the European scale is, to our knowledge, not achievable at present with the available data but would be a future goal. Synchronous publication of the seasonal erosion index is not mandatory, specifically because seasonal soil loss ratios are not available at this scale to date. We are looking forward to the appropriate study by the authors of the comment, who assert that they have access to the required data. (ii) We discuss and evaluate relevant studies in our original work and in this reply; however, we cannot consider what is not available to the scientific community. (iii) The third point of critique was based on a misunderstanding by Auerswald et al. (2015), as we did indeed calculate the maximum intensity with the highest resolution of data available. (iv) The low R-factor values in Germany and the higher values in Austria compared with previous studies are not due to the involvement of snow but are rather due to a Pan-European interpolation. We argue that an interpolation across the borders of Austria creates a more reliable data set. (v) We agree that the use of a short time series or time series from different periods is generally a problem in all large-scale studies and requires improvement in the future. However, because this affects countries with a rather low variability of the R-factor in our study, we are confident that the overall results of the map are not biased. In conclusion, the Pan-European rainfall data compilation (REDES) was a great success and yielded data from 1541 stations with an average length of 17.1years and a temporal resolution of <60min. However, a Pan-European data collection will never be complete without the help and supply of data from its users. Thus, we invite the authors of the comment to share their data in the open REDES to help build even better rainfall-erosivity maps at regional or European scales.

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