Sponsor(s): Chinese Meteorological Society (CMS)
6 issues per year
Current Issue: Issue 06, 2019
The awards and honors that Acta Meteor. Sinica has received in recent years include: (1) Top 5% Chinese Academic Journals with the Highest International Impact 2012－2014, (2) Top 100 S&T Journals of China 2013, (3) China Government Award for Journals--Nominees Award 2013, (4) Outstanding S&T Journals of China 2008, 2011, 2014, and (5)Elite S&T Journal Support Program of the China Association for Science and Technology (CAST) for 2015-2017. AMS publishes the latest achievements and developments in the field of atmospheric sciences and related disciplines such as geophysics and environmental sciences. AMS covers a broad range of topics such as: global climate change, monsoons, Tibetan Plateau meteorology, earth system modeling, atmospheric chemistry and environment, radar and satellite meteorology, atmospheric sounding and remote sensing, boundary layer meteorology, aerosols, clouds, and air pollution, weather modification, agricultural and forest meteorology, and so on.
Acta Meteorologica Sinica,2019,Vol 77,No. 06
Based on homogenized radiosonde temperature data during 1958–2017 collected at 118 stations and satellite MSU temperature during 1979–2017, long-term trends of radiosonde temperature, its seasonality and regional features, and uncertainties in the homogenization of radiosonde temperature and their impact on trends in recent 60 years over China have been assessed. The results show that during 1958–2017, the radiosonde temperature averaged over China tends to increase in the troposphere with the maximum warming trend occurring at 300 hPa, whereas the temperature decreases in the lower stratosphere with a cooling trend at 100 hPa. The upper tropospheric warming trend in winter and the lower stratospheric cooling trend in summer are more robust. During 1979–2017, the warming trend in the troposphere is stronger and the cooling trend in the lower stratosphere is weaker. The warming trend in the upper troposphere is more significant over the Tibetan Plateau and northwestern China. By comparing with satellite MSU temperature and radiosonde temperature at neighboring stations, and considering the differences between daytime and nighttime, the residual inhomogeneity in radiosonde temperature has been detected. Due to the limitation of the reference data, the homogenization has not completely eliminated the influence of systematic decrease of temperatures in the upper and middle troposphere and lower stratosphere caused by radiosonde system changes in the 2000s. Therefore, the tropospheric warming trend is underestimated and the cooling trend in the lower stratospheric is overestimated over China. Future efforts are needed to apply satellite MSU temperature data and the time series from neighboring stations to adjust the sequence of reference data and add reasonableness tests at individual stations over China to further improve the homogenization.
Comparative analysis of several influencing systems in the process of a large-scale continuous snowstorm
Acta Meteorologica Sinica,2019,Vol 77,No. 06
A large-scale rain and snowstorm lasted for 48 h and successively affected Shaanxi, Shanxi, Beijing, Hebei and Liaoning. The snowfall reached 15–30 mm in North China. Surface systems influencing the above rain-snowstorm process are complicated, including the North China occluded front, the Jianghuai cyclone and the northly cold front. By using the quasi-geostrophic theory, the condensation function analysis, vertical cross section analysis, conventional observation data and the GFS 0.5° × 0.5° reanalysis data, characteristics and differences in water vapor content, dynamic condition and vertical structure, etc. between the North China occluded front and Jianghuai cyclone and their impacts on snowfall and snowfall efficiency are analyzed. Evolutions and interactions of various surface systems are described as well. The results are as follows: (1) Considering the snowfall and efficiency, the snowfall amount produced by North China occluded front was less than that produced by the Jianghuai cyclone. The North China occluded front mainly influenced western North China, where the snow lasted for 24 h. The Jianghuai cyclone mainly affected central and eastern North China, where the snowfall lasted for 30 h. In the first half period of precipitation, the precipitation efficiency of the North China occluded front was 0.76, and that of the Jianghuai cyclone was 0.58; in the later half period, the precipitation efficiency was 1.5 for both systems. (2) Looking at the water vapor condition, the North China occluded front was obviously weaker than that of the Jianghuai cyclone. The water vapor supply for the North China occluded front came from the southwest and large transport occurred on 700 hPa; the water vapor supply for the Jianghuai cyclone came from the southwest and the East China Sea, and large transport were found on the levels of 700 and 850 hPa. The water vapor content and convergence center of the North China occluded front were mainly concentrated near the surface layer, while those of the Jianghuai cyclone were located in 800–600 hPa. (3) Considering the dynamic condition, the North China occluded front was obviously weaker than the Jianghuai cyclone. The vertical differential term was dominant in vorticity advection in the southern part of the North China occluded front, where as the Laplace term played a major role in temperature advection in the northern part. The vertical differential term for vorticity advection and the Laplace term for temperature advection both were important in the Jianghuai cyclone. (4) On the vertical structure, the Jianghuai cyclone was a cold occluded front with the northly cold front undercutting the warm front zone aloft, and its intensity was stronger than that of the North China occluded front. (5) On the evolution and interaction, the northward movement of the Jianghuai cyclone weakened the intensity of the North China occluded front, and the northly cold front behaved like a “cold pad,” which uplifted the warm and moist air flow associated with the Jianghuai cyclone.