The study deals with the analysis of the spatial and temporal variability of cumulonimbus cloud base height in Western Siberia based on ground remote (laser) sensing data at civil aviation meteorological stations during the period 2010–2021. The seasonal variability of the average values of the cumulonimbus base height was obtained, maps of its spatial distribution were constructed. It was established that an increase these values was occurred when moving from the north to the south of the region. Here the seasonal variability with a summer maximum was pronounced, there is also a second maximum in the winter months in the central part. Statistical characteristics of the cloud base height and its dependence on the station altitude were calculated. In addition, the analysis of atmospheric instability indices and convective precipitation was also carried out.
In the framework of the study, a comparative analysis of information on the cloud base height for the territory of Western Siberia based on the ERA5 reanalysis data and visual observations at weather stations is carried out for the period 2000- 2020. Spatial distribution maps were constructed, and a comparative analysis of spatial and temporal variability was carried out. The variability in cloud base height of vertical development clouds is also estimated. Spatial distribution of the total cloud base height values from observational data, in general, shows the similarity in all seasons: it increases from north to south of the region. However, we obtain contradictory results as for temporal variability. Thus, for further investigations, it is also necessary to use other types of databases and to take into account additional meteorological parameters to derived more accurate estimations of cloud base height values.
For the first time estimates of the non-linear relationships between the fields of the extreme values of basic meteorological variables (> 3σ) were obtained for the Northern Hemisphere, and their trends were established for the beginning of the 21st century. An approach, based on the cumulant analysis of the probability distribution, has been developed. It allowed us to identify non-linear (non-Gaussian) climate systems and determining their characteristics. It was shown that in the areas of baroclinic disturbances, non-Gaussian processes were significantly manifested in the troposphere of the Northern Hemisphere in a significant part of the territory (80-90%) in spring and autumn and were realized in a group of 3-4 elements (including vertical wind component, humidity or temperature) with 3 - 4 orders of magnitude connection. The application of this method simplifies the calculation of non-linear links of meteorological variables for prognostic problems solution.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.