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contributor authorZhixuan Zhang
contributor authorYidong Lou
contributor authorWeixing Zhang
contributor authorHong Liang
contributor authorJingna Bai
contributor authorWeiwei Song
date accessioned2023-04-12T18:26:09Z
date available2023-04-12T18:26:09Z
date copyright2022/11/02
date issued2022
identifier otherJAMC-D-21-0200.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289660
description abstractCorrelation analysis between precipitable water vapor (PWV) and precipitation over China was conducted by combining high-quality PWV data based on 1999–2015 ground-based global positioning system (GPS) observations with the measurements at matched meteorological stations in the same period. The mean correlation coefficient at all the stations is approximately 0.73, indicating that there is a significant positive correlation between PWV content and precipitation measurements, and the comparison of correlation among different climate types suggests that the distribution characteristics of the correlation coefficients are distinctively related to different climate types. There is also some positive correlation between PWV and precipitation long-term trends, with the correlation coefficients of monthly anomalies ranging generally from 0.2 to 0.6. Furthermore, the intensity of both PWV and precipitation extremes shows a long-term upward trend overall, with the most-intense events showing more significant increases. The extreme precipitation–temperature scaling rate of changes can reach above Clausius–Clapeyron (CC) scaling, whereas that of the extreme PWV-temperature is sub-CC overall, with regional differences in the specific scaling values. The correlation analysis in this work is of great significance for long-term climate analysis and extreme weather understanding, which provides a valuable reference for better utilizing the advantages of PWV data to carry out the studies above.
publisherAmerican Meteorological Society
titleCorrelation Analysis between Precipitation and Precipitable Water Vapor over China Based on 1999–2015 Ground-Based GPS Observations
typeJournal Paper
journal volume61
journal issue11
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-21-0200.1
journal fristpage1669
journal lastpage1683
page1669–1683
treeJournal of Applied Meteorology and Climatology:;2022:;volume( 061 ):;issue: 011
contenttypeFulltext


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