Abstract
The relationship between temperature and precipitation is not simple. Several physical processes can determine whether this relationship is positive or negative, depending on the geographic location and the season. This paper proposes new indices for studying this relationship at a seasonal level, based on daily data of accumulated precipitation and mean temperature: the Rt(T75) index is defined as the percentage of precipitation corresponding to warm days in the year t, and Rt(T25) the one corresponding to cold days. The so-called contribution index is defined as the measurement and extent in which the Rt(T25) and Rt(T75) indices contribute to each interval of percentage precipitation values. To synthesize the behavior of these indices, the index IRt = Rt(T75) − Rt(T25) is proposed and compared to the ITt index, defined as the difference between the average temperature of wet days and that of dry days. These indices are analyzed for four meteorological stations that represent the main climatic domains of the Iberian Peninsula from 1951 to 2019. The results show a negative relationship between temperatures and precipitation, except for the two westernmost stations in winter. The role of atmospheric circulation in this result, particularly the NAO, EA, and WeMO teleconnection patterns, is discussed. Finally, future avenues of research are proposed.
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Data availability
Daily temperature and rainfall data are available at European Climate Assessment & Dataset Project (https://www.ecad.eu/dailydata/index.php). EA and NAO indices data are available at Climate Prediction Center (http://www.ncep.noaa.gov/teledoc). WeMO data are available at Climate Research Unit (http://cru.aec.uk).
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The author wishes to express his gratitude to the anonymous referees for their useful comments.
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FSR conceptualized the project and its intellectual configuration, processed the data, produced the figures, developed the first draft of the manuscript, and edited the final version of the manuscript.
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Rodrigo, F.S. A simple approach for the study of the relationship between temperature and precipitation. Theor Appl Climatol 150, 215–228 (2022). https://doi.org/10.1007/s00704-022-04154-w
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DOI: https://doi.org/10.1007/s00704-022-04154-w