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Under-measured daily maximum precipitation from manual gauge observations over the northern regions

Pan, Xicai; Yang, Daqing; Chun, Kwok Pan; Zhang, Jiabao; You, Yanhui

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Authors

Xicai Pan

Daqing Yang

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Dr Kwok Chun Kwok.Chun@uwe.ac.uk
Lecturer in Environmental Managment

Jiabao Zhang

Yanhui You



Abstract

Extreme precipitation is a major issue for regional climate, hydrology, and safety of society. Our knowledge of extreme precipitation is poor because of difficulties in gauge observations and biases in regional and global datasets, in particular over the snow dominated regions. Here we investigate and report the distribution and magnitude of under-measured of the maximum daily total precipitation (herein daily maximum precipitation) due to biases in manual gauge observations in the high latitudes (over 45°N), using historical data during 1973–2004. We find remarkable patterns in under-measured of the long-term mean daily maximum precipitation and their association to regional climatic regimes. In contrast to relatively small and large-scale under-measured (less than 5 mm) of daily maximum rainfall, the biases in daily maximum snowfall are very serious, with the regional high values over 15 mm along the Ural Mountains and the coasts of east Asia, Greenland, in particular northern Eurasia coasts. The frequency distribution of observed daily maximum snowfall underestimate significantly the higher risk events over the high latitudes. Furthermore, defining the phase of extreme precipitation should be cautious over the northern regions, in particular the coasts. These results clearly demonstrate the urgent need to review and update precipitation datasets including recent automatic gauge observations and the knowledge of climate regimes and extremes over the broader northern regions.

Citation

Pan, X., Yang, D., Chun, K. P., Zhang, J., & You, Y. (2020). Under-measured daily maximum precipitation from manual gauge observations over the northern regions. Science of the Total Environment, 715, Article 136970. https://doi.org/10.1016/j.scitotenv.2020.136970

Journal Article Type Article
Acceptance Date Jan 25, 2020
Online Publication Date Jan 28, 2020
Publication Date May 1, 2020
Deposit Date Jan 20, 2022
Publicly Available Date Mar 28, 2024
Journal Science of the Total Environment
Print ISSN 0048-9697
Electronic ISSN 1879-1026
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 715
Article Number 136970
DOI https://doi.org/10.1016/j.scitotenv.2020.136970
Public URL https://uwe-repository.worktribe.com/output/8545483

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