Process-dependent persistence in precipitation records

Lichao Yang and Zuntao Fu

Physica A: Statistical Mechanics and its Applications, 2019, vol. 527, issue C

Abstract: Whether long-term persistence (LTP) exists in precipitation process has been studied for several decades and it is still an open question. In this study, the precipitation records of hourly and daily resolutions are applied to estimate the persistence of precipitation over a wider range of scales mainly by means of Detrended Fluctuation Analysis (DFA). The results show that precipitation persistence can be described as a varying rather than a universal scaling behavior. Two distinct scaling regimes are determined by their associated power law behavior (F(s)∝sα, F(s) is the fluctuation function, s is the time scale, α is the scaling exponent) and they are process-dependent: a regime of frontal systems with stronger LTP (s is less than around 200 h, α≈0.74) and a regime of random nature of weather system and climate variability with weaker LTP (s is larger than around 200 h, α≈0.54). This result indicates that when we simulate the precipitation process, it is necessary to take the different persistent properties over the corresponding scale range into account to select the appropriate model.

Keywords: Precipitation persistence; Process-dependent; Scaling regime (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119308489

DOI: 10.1016/j.physa.2019.121459

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