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Title: High-frequency daily temperature variability in China and its relationship to large-scale circulation

Abstract

Two measures of intra-seasonal variability, indicated respectively by standard deviations (SD) and day-to-day (DTD) fluctuations denoted by absolute differences between adjacent 2-day periods, as well as their relationships with large-scale circulation patterns were investigated in China during 1962–2008 on the basis of homogenized daily temperature records from 549 local stations and reanalysis data. Our results show that both the SD and DTD of daily minimum temperatures (Tmin) in summer as well as the minimum and maximum temperatures in winter have been decreasing, while the daily maximum temperature (Tmax) variability in summer is fluctuating more, especially over southern China. In summer, an attribution analysis indicates that the intensity of the Western Pacific Subtropical High (WPSH) and high-level East Asian Subtropical Jet stream (EASJ) are positively correlated with both SD and DTD, but the correlation coefficients are generally greater with the SD than with the DTD of the daily maximum temperature, Tmax. In contrast, the location of the EASJ shows the opposite correlation pattern, with intensity regarding the correlation with both SD and DTD. In winter, the Arctic Oscillation (AO) is negatively correlated with both the SD and DTD of the daily minimum temperature, but its intra-seasonal variability exhibits good agreement withmore » the SD of the Tmin. The Siberian High acts differently with respect to the SD and DTD of the Tmin, demonstrating a regionally consistent positive correlation with the SD. Overall, the large-scale circulation can well explain the intra-seasonal SD, but DTD fluctuations may be more local and impacted by local conditions, such as changes in the temperature itself, the land surface, and so on.« less

Authors:
 [1];  [1];  [2];  [2];  [1]
  1. Institute of Climate and Global Change Research & School of Atmospheric Sciences, Nanjing University, China; Jiangsu Collaborative Innovation Centre for Climate Change, Nanjing China
  2. Pacific Northwest National Laboratory, Richland WA USA
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1347859
Report Number(s):
PNNL-SA-122040
Journal ID: ISSN 0899-8418; KP1703010
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
International Journal of Climatology
Additional Journal Information:
Journal Volume: 37; Journal Issue: 2; Journal ID: ISSN 0899-8418
Country of Publication:
United States
Language:
English
Subject:
intra-seasonal; standard deviation; China; fluctuations

Citation Formats

Wu, Fu-Ting, Fu, Congbin, Qian, Yun, Gao, Yang, and Wang, Shu-Yu. High-frequency daily temperature variability in China and its relationship to large-scale circulation. United States: N. p., 2016. Web. doi:10.1002/joc.4722.
Wu, Fu-Ting, Fu, Congbin, Qian, Yun, Gao, Yang, & Wang, Shu-Yu. High-frequency daily temperature variability in China and its relationship to large-scale circulation. United States. doi:10.1002/joc.4722.
Wu, Fu-Ting, Fu, Congbin, Qian, Yun, Gao, Yang, and Wang, Shu-Yu. Mon . "High-frequency daily temperature variability in China and its relationship to large-scale circulation". United States. doi:10.1002/joc.4722.
@article{osti_1347859,
title = {High-frequency daily temperature variability in China and its relationship to large-scale circulation},
author = {Wu, Fu-Ting and Fu, Congbin and Qian, Yun and Gao, Yang and Wang, Shu-Yu},
abstractNote = {Two measures of intra-seasonal variability, indicated respectively by standard deviations (SD) and day-to-day (DTD) fluctuations denoted by absolute differences between adjacent 2-day periods, as well as their relationships with large-scale circulation patterns were investigated in China during 1962–2008 on the basis of homogenized daily temperature records from 549 local stations and reanalysis data. Our results show that both the SD and DTD of daily minimum temperatures (Tmin) in summer as well as the minimum and maximum temperatures in winter have been decreasing, while the daily maximum temperature (Tmax) variability in summer is fluctuating more, especially over southern China. In summer, an attribution analysis indicates that the intensity of the Western Pacific Subtropical High (WPSH) and high-level East Asian Subtropical Jet stream (EASJ) are positively correlated with both SD and DTD, but the correlation coefficients are generally greater with the SD than with the DTD of the daily maximum temperature, Tmax. In contrast, the location of the EASJ shows the opposite correlation pattern, with intensity regarding the correlation with both SD and DTD. In winter, the Arctic Oscillation (AO) is negatively correlated with both the SD and DTD of the daily minimum temperature, but its intra-seasonal variability exhibits good agreement with the SD of the Tmin. The Siberian High acts differently with respect to the SD and DTD of the Tmin, demonstrating a regionally consistent positive correlation with the SD. Overall, the large-scale circulation can well explain the intra-seasonal SD, but DTD fluctuations may be more local and impacted by local conditions, such as changes in the temperature itself, the land surface, and so on.},
doi = {10.1002/joc.4722},
journal = {International Journal of Climatology},
issn = {0899-8418},
number = 2,
volume = 37,
place = {United States},
year = {2016},
month = {4}
}