


Том 44, № 7 (2019)
- Жылы: 2019
- Мақалалар: 8
- URL: https://bakhtiniada.ru/1068-3739/issue/view/14313
Article
Changes in Precipitation Regime over the Territory of Russia: Data of Regional Climate Modeling and Observations
Аннотация
The study considers the problem of detailing climate projections with respect to changes in the precipitation regime over the territory of Russia by the middle of the 21st century. Numerous ensemble calculations with the high-resolution regional climate model are used to obtain the projections of climatic changes concerning the duration of dry and wet spells as well as in the related extremes of the amount and daily intensity of precipitation. The estimates of the trend in the analyzed precipitation characteristics derived from standard meteorological observations are presented for 1966–2015. Important seasonal and regional features of changes in the analyzed parameters of extremity are revealed. It is reasonable to consider these features when adapting to climate change at the regional level.



Climatic Changes in Thermal Conditions of Sea Areas in the Eastern Arctic at the Turn of the 20th and 21st Centuries
Аннотация
The interannual variability of sea surface temperature and air temperature in the coastal zone and adjacent areas of the East Siberian and Chukchi seas and the Arctic Ocean at the modern stage of the climate warming is analyzed. The analysis is based on data of routine observations at hydrometeorological stations obtained in 1980–2016, global meteorological network data and NOAA reanalysis data. The analysis of the spatiotemporal pattern of temperature variations and the zoning of water areas based on the features of modern climate changes are carried out using the EOF (Empirical Orthogonal Functions), cluster, and correlation analyses. The possible cause-effect relationships between these changes and variations in wind field components and climate indices are considered. The studies revealed, specified, and quantified the modern trends and regional features of interannual variability of thermal conditions in the selected areas.



Variability of Cloud Parameters from Satellite Data
Аннотация
A method for analyzing the variability of characteristics of different cloud types is developed using the results of cloud classification and thematic processing of satellite data. To increase the efficiency of the proposed approach, 16 cloud types were identified during the periods of snow cover absence, and 12 cloud types, in its presence; parallel computation methods on the general-purpose graphic processor units were used. The results of studying the frequency of various cloud types and variations in their parameters over the latitude zones of 50°–60° and 60°–70° N in the Tomsk oblast in 2017 are analyzed. The episodes with the deviation from the annual course are considered for a number of characteristics of several cloud types.



Using Convolutional Neural Networks for Cloud Detection from Meteor-M No. 2 MSU-MR Data
Аннотация
A method for cloud detection using the machine-learning algorithm based on a convolutional neural network is presented. Input data are satellite images received from the MSU-MR multispectral low-resolution scanning unit onboard the Meteor-M No. 2 satellite. The developed method can be an alternative to the traditional algorithms of cloud detection based on the calculation of differential indices and thresholds. The algorithm is verified using the machine-learning metrics, comparing the resulting cloud mask with the reference one obtained by interpreting the satellite image by an experienced meteorologist. It was also compared (for verification) with a similar product based on VIIRS spectroradiometer data. The cloud mask computed using the algorithm allows the automatic thematic processing of satellite images.



Using δ18O as a Tracer of the Formation of Water Masses in the Laptev Sea. Part 2. Quantification of the Volume of Atlantic, River, and Melt Water as well as Water Withdrawn for Ice Formation
Аннотация
The main characteristics of water masses in the Laptev Sea formed as a result of the mixing of Atlantic and river water and transformed as a result of ice formation and ice melting were revealed using the conservative isotopic parameter δ18O as a tracer. The amount of Atlantic, river, and melt water as well as the volumes of water withdrawn for ice formation are quantified for six water masses typical of the Laptev Sea. Both melt and transformed (as a result of ice formation) water types are present in the surface river water mass. The prevalence of melt water is observed in the range of sea water salinity from 0 to 7–8 psu. The maximum content of melt water in this salinity range can reach 40%, and the desalination resulting from ice melting reaches 0.2–0.7 psu. The areas with the maximum water removal for ice formation are linked to the position of summer and winter water of the Laptev Sea, in the area of the Anabar-Lena, East Taymyr, West New Siberian, and North New Siberian flaw polynyas and fast ice in the southeastern part of the sea. In these regions water removal for ice formation makes up 10 to 20% and is observed from the surface to the bottom even during the summer-autumn period. Atlantic water is characterized not only by mixing with river water from Siberian rivers but also by transformations resulting from ice formation. However, this effect is largely associated with the convective mixing with overlying layers where ice formation occurs. Mean temperature of the bottom layers of Arctic basin water is by 2.2°C lower than the mean temperature of Atlantic water, and mean salinity is by ~0.06 psu higher. In this water the presence of river water as well as the influence of ice formation and ice melting mass are less pronounced as compared to Atlantic water.



Variability of Thermohaline Characteristics at 26.5° N in Reanalyses and Oceanographic Section Data
Аннотация
The most common methods for studying the variability of ocean parameters are field measurements and numerical modeling. Due to the insufficient availability of ocean measurement data, it is not always possible to verify the reliability of modeling results. Changes in temperature and salinity of the Atlantic Ocean water masses at 26.5° N in the recent 30 and 70 years are estimated. The estimation is based on the data of SODA, ORAS4, ECCO, GECCO reanalyses, EN4 and WOA13 objective analyses, and six regular oceanographic sections. In 1992 to 2016, all reanalyses simulate an increase in temperature and salinity of surface water for the entire section, which is consistent with field data. On average, the reanalyses overestimate temperature by 0.1–0.3°C and salinity by 0.02–0.05 psu. The closest values to field data are reproduced by the ORAS4 reanalysis and EN4 objective analysis. Trends in temperature and salinity coincide best with the EN4 results.



Studying the Areal Rainfall Reduction in the Urals Based on Radar Data
Аннотация
The study considers problems of estimation of the areal reduction of flood-forming rainfalls based on the joint use of rain-gage and radar information for the territory of the Urals. Information on areal rainfall reduction is crucial in development of methods for calculating the flood runoff of unexplored rivers. The large volume of rain-gage records (>6000 individual showers) for the period of 1936–2015 was collected and processed as well as radar data on cloud reflectivity for the period of 2003–2015 (data of the MRL-5 pulse weather radar from the Koltsovo airport are used). Empirical dependences between precipitation intensity for short (30 minutes) time periods and reflectivity of clouds in the first surface layer (to the altitude of 1000 km) are derived for several weather stations. The stability of parameters of these dependences is assessed as moving away from the radar. Based on these dependences, we determined the areas of territory irrigation by precipitation of various intensity and the parameters of the areal rainfall reduction. Taking into account the previous studies, the “double-reduction” dependence of rainfall intensity on its time and irrigated area is developed. Preliminary calculations of precipitation intensity depending on time and irrigated area are performed for Yekaterinburg weather station.



Communications
Spatiotemporal Variability of the Climate and Dangerous Hydrometeorological Phenomena on the Crimean Peninsula
Аннотация
The article provides an analysis of the spatiotemporal patterns in the dynamics of the main meteorological elements (air temperature and precipitation) in Crimea. Considering the significant geomorphological diversity and the peculiarities of the physiographical location of the Crimean Peninsula, ambiguous trends in the variability of climatic parameters are noted on its territory. Thus, the increase in air temperature and humidity has been recorded in the steppe and foothill areas during the recent decades. In contrast, at the Southern coast of Crimea, under the sub-Mediterranean climate conditions precipitation decreases and average annual air temperature stabilizes to the climatic norm. It is pointed out that the occurrence of spontaneous and dangerous hydrometeorological phenomena having frequented lately are due to the modern trends in the climate dynamics.


