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Atmosphere
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Climate Dynamics and Variability Over the Tibetan Plateau
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Climate Dynamics and Variability Over the Tibetan Plateau

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: closed (29 August 2024) | Viewed by 2407

Special Issue Editor

Prof. Dr. Shunwu Zhou

E-Mail Website
Guest Editor
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Joint International Research Laboratory of Climate and Environment Change (ILCEC), Joint Center for Data Assimilation Research and Applications, School of Atmospheric Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
Interests: Tibetan Plateau meteorology; Asian monsoon; disastrous weather
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Tibetan Plateau (TP), known as the “Third Pole”, has become the region most sensitive to the global climate. Due to its unique underlying surface, the topography and thermodynamic forcing of the TP play crucial roles in the regional climate and extreme weather events. Meanwhile, the elements of the TP and its regional effects show obvious variabilities at different timescales (i.e., intraseasonal, interannual, decadal, and trend). However, their multi-scale interactions remain unclear. Notably, the TP is undergoing substantial changes, including warming, increased precipitation, Asian monsoon, vortex and a number of other variables due to global warming; these changes may exert profound effects on the weather and climate of the surrounding areas. Therefore, it is essential to investigate the variabilities in the environmental factors and thermodynamic effects of the TP on the regional climate; this represents a great contribution to the research community and society.

This Special Issue welcomes the submission of papers addressing all aspects of Tibetan Plateau meteorology, particularly the effects of air temperature, precipitation and the monsoon dynamic at multi-time scales. Additionally, special attention will be paid to the mechanisms implicated in the weather and climate changes exhibited on the TP. Therefore, this Special Issue hopes to reveal and explain the recent changes experienced over the TP and their impacts on regional areas at multi-timescales, and even in the future.

Prof. Dr. Shunwu Zhou
Guest Editor

Manuscript Submission Information

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Keywords

  • Tibetan Plateau
  • regional climate
  • extreme weather events
  • multi-scale interactions
  • thermodynamic effects
  • air temperature and precipitation
  • monsoon dynamic
  • future background

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Published Papers (2 papers)

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Research

25 pages, 8775 KiB  
Article
Analysis of Atmospheric Aerosol Changes in the Qinghai-Tibetan Plateau Region during 2009–2019 Using a New Fusion Algorithm
by Zhijian Zhao and Hideyuki Tonooka
Atmosphere 2024, 15(6), 712; https://doi.org/10.3390/atmos15060712 - 14 Jun 2024
Viewed by 728
Abstract
The Qinghai-Tibetan Plateau (QTP) is the largest permafrost-covered area in the world, and it is critical to understand accurately and dynamically the cyclical changes in atmospheric aerosols in the region. However, due to the scarcity of researchers in this field and the complexity [...] Read more.
The Qinghai-Tibetan Plateau (QTP) is the largest permafrost-covered area in the world, and it is critical to understand accurately and dynamically the cyclical changes in atmospheric aerosols in the region. However, due to the scarcity of researchers in this field and the complexity of analyzing the spatial and temporal dynamics of aerosols, there is a gap in research in this area, which we hope to fill. In this study, we constructed a new fusion algorithm based on the V5.2 algorithm and the second-generation deep blue algorithm through the introduced weight factor of light and dark image elements. We used the algorithm to analyze the spatial and temporal changes in aerosols from 2009–2019. Seasonal changes and the spatial distribution of aerosol optical depth (AOD) were analyzed in comparison with the trend of weight factor, which proved the stability of the fusion algorithm. Spatially, the AOD values in the northeastern bare lands and southeastern woodland decreased most significantly, and combined with the seasonal pattern of change, the AOD values in this region were higher in the spring and fall. In these 11 years, the AOD values in the spring and fall decreased the most, and the aerosol in which the AOD decreases occurred should be the cooling-type sulfate aerosol. In order to verify the accuracy of the algorithm, we compared the AOD values obtained by the algorithm at different time intervals with the measured AOD values of several AERONET stations, in which the MAE, RMSE, and R between the AOD values obtained by the algorithm and the measured averages of the 12 nearest AERONET stations in the QTP area were 0.309, 0.094, and 0.910, respectively. In addition, this study also compares the AOD results obtained from the fusion algorithm when dynamically weighted and mean-weighted, and the results show that the error value is smaller in the dynamic weighting approach in this study. Full article
(This article belongs to the Special Issue Climate Dynamics and Variability Over the Tibetan Plateau)
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16 pages, 4816 KiB  
Article
Variations in Maximum and Minimum Temperature in Mount Qomolangma during 1971–2020
by Shunjiu Wang
Atmosphere 2024, 15(3), 358; https://doi.org/10.3390/atmos15030358 - 15 Mar 2024
Cited by 1 | Viewed by 1145
Abstract
Based on the daily maximum and minimum temperature observational data during 1971–2020, the variabilities of the maximum and minimum temperature of Mount Qomolangma are analyzed. The daily maximum temperature is 25.8 °C and the daily minimum temperature is −31.4 °C during the study [...] Read more.
Based on the daily maximum and minimum temperature observational data during 1971–2020, the variabilities of the maximum and minimum temperature of Mount Qomolangma are analyzed. The daily maximum temperature is 25.8 °C and the daily minimum temperature is −31.4 °C during the study period in Mount Qomolangma. Overall, there has been an upward trend with decadal laps for both maximum and minimum temperature. On monthly, seasonal, and annual scales, neither maximum temperature nor minimum temperature time series exhibit an increasing trend from 1971 to 2020. The increasing trends in monthly minimum temperature are even more pronounced than those in maximum temperature. Abrupt changes are noted in both monthly, seasonal, and annual maximum and minimum temperature time series. Specifically, an abrupt change in annual maximum temperature occurred in the 1980s, while an abrupt change in annual minimum temperature occurred in the 1990s. Differences between the north and south slope of Mount Qomolangma are evident, with temperature fluctuations of the north slope being more extreme than those of south slope. The seasonal and annual maximum temperature of the north slope is higher than that of the south slope, except for winter, and the seasonal and annual minimum temperatures of the north slope are all lower than those of the south slope. The tendences of maximum and minimum temperatures in the north slope are more dominant than those in the south slope. The findings are beneficial for understanding the characteristics of local climate change on the Tibetan plateau and to underscore the significant role of Mount Qomolangma in the context of global warming. Full article
(This article belongs to the Special Issue Climate Dynamics and Variability Over the Tibetan Plateau)
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