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What Does Elevation Have to Do With Precipitation

Written By Wednesday, 6 April 2022 Add Comment Edit

Abstract

Using a high-density automatic conditions stations (AWS) dataset of hourly rainfall observations, the present study investigates the human relationship between rainfall and peak in the Beijing area, and farther proposes a rainfall corporeality dependent parameterized algorithm considering the elevation effect on rainfall on hourly timescale. The parameterization equation is defined as a segmented nonlinear model, which calculates the mountain rainfall equally a function of valley rainfall amount. Results prove that in that location exists an evident enhancement of rainfall corporeality by elevation issue in the Beijing surface area. In particular, larger rainfall amount is mostly found in college mountains, peculiarly for slight rain and moderate rain. Furthermore, six representative station pairs located in valleys and on mountains respectively are selected to estimate the values of optimal parameters in the parameterization equation. The parameterization algorithm of elevation dependence tin can produce a reduction in the root-hateful-square error and obtain a much closer mountain rainfall full to the observations compared with those using no elevation dependence. Furthermore, the spatial distribution of rainfall is more realistic and authentic in mountainous terrain when tiptop dependence is considered. This study helps to empathise the variability of rainfall with complex terrain in the Beijing area, and gives a possible mode to parameterize rainfall-elevation relationship on hourly timescale.

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Author information

Affiliations

  1. Institute of Urban Meteorology, China Meteorological Administration, Beijing, 100089, China

    Linye Song, Mingxuan Chen, Feng Gao, Conglan Cheng, Min Chen & Lu Yang

  2. Primal Found for Meteorology and Geodynamics, Vienna, A-1190, Republic of austria

    Yong Wang

Corresponding author

Correspondence to Linye Vocal.

Additional data

Supported by the National Natural Science Foundation of China (41605031), National Key Inquiry and Evolution Plan of China (2018YFF0300102 and 2018YFC1507504), and Beijing Municipal Science and Applied science Plan (Z151100002115012).

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Vocal, L., Chen, M., Gao, F. et al. Peak Influence on Rainfall and a Parameterization Algorithm in the Beijing Expanse. J Meteorol Res 33, 1143–1156 (2019). https://doi.org/10.1007/s13351-019-9072-iii

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  • DOI : https://doi.org/10.1007/s13351-019-9072-3

Fundamental words

  • rainfall
  • elevation influence
  • parameterization algorithm
  • Beijings

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