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Vol 44, No 1 (2019)

Article

Ozone Anomalies over Russia in the Winter-Spring of 2015/2016

Nikiforova M.P., Vargin P.N., Zvyagintsev A.M.

Abstract

The variability of Arctic total ozone in the winter of 2015/2016 is studied using the data of the national network equipped with M-124 filter ozonometers and satellite monitoring. The first ozone mini-hole that emerged in the first half-year over the whole history of observations (developed at the end of January 2016) is analyzed. The reasons for the total ozone variability over Russia in the first quarter of 2016 are analyzed, and the comparison with the significant Arctic ozone anomalies in 1996/1997 and 2010/2011 is presented.

Russian Meteorology and Hydrology. 2019;44(1):23-32
pages 23-32 views

Large-scale Ocean Circulation and Sea Ice Characteristics Derived from Numerical Experiments with the NEMO Model

Stepanov V.N., Resnyanskii Y.D., Strukov B.S., Zelenko A.A.

Abstract

The results of numerical experiments on setting the NEMO model during its preparation for the assimilation of oceanographic data are presented. The modeling of ocean circulation and sea ice characteristics is performed with two different configurations of NEMO with a 1° horizontal resolution and with two versions of the sea ice model LIM2 and LIM3. The sensitivity of simulation results to the variations in the vertical resolution of the model grid and to the selection of the methods for describing ice processes is studied. It is shown that the increased vertical resolution and the calculations with several ice thickness gradations lead to a better agreement between model simulations and observations. The model configuration used for simulations with the corresponding setting parameters is suitable for its inclusion to the ocean data assimilation system.

Russian Meteorology and Hydrology. 2019;44(1):33-44
pages 33-44 views

Snow Cover Influence on Sea Ice in the Taganrog Bay

Zav’yalov D.D., Solomakha T.A.

Abstract

The seasonal evolution of sea ice thickness in the eastern part of the Taganrog Bay is studied using the one-dimensional thermodynamic sea ice model. The numerical experiments are conducted to simulate the thermal evolution of sea ice thickness using various snow parameterization schemes. The results of modeling for the winters of 2007/2008 and 2008/2009 are compared with in situ observations. The quality of the forecast of seasonal variations in sea ice thickness is assessed.

Russian Meteorology and Hydrology. 2019;44(1):45-52
pages 45-52 views

Seasonal Variability of Temperature Fronts on the Barents Sea Surface

Artamonov Y.V., Skripaleva E.A., Fedirko A.V.

Abstract

Large-scale temperature fronts (polar, Spitsbergen, Arctic, and coastal) are revealed in the Barents Sea based on the data of NOAA OI SST reanalysis which contains the monthly mean values of sea surface temperature. The features of the climatic interannual cycle of their characteristics are identified.

Russian Meteorology and Hydrology. 2019;44(1):53-61
pages 53-61 views

Reconstructing the Frequency of Catastrophic Floods on the Western Coast of the Sea of Japan Based on Sedimentary Proxy

Astakhov A.S., Dar’in A.V., Kalugin I.A., Aksentov K.I.

Abstract

The history of coastal catastrophic floods was reconstructed for the first time using the geochemical proxy in shelf sediments. The reconstruction is based on the identification of sediment layers accumulated on the shelf during the intensive discharge of the river runoff suspended matter from the land which does not contain bromine. The set of isotopic (AMS 14C, 210Pb, 137Cs), tephrastratigraphic, and paleomagnetic methods was used for the detailed chronology of sediments. The scanning of chemical composition of sediments with the step of 0.5–0.8 mm is performed using the synchrotron radiation X-ray fluorescence in the VEPP-3 storage of the Institute of Nuclear Physics of Siberian Branch of Russian Academy of Sciences. The history of catastrophic floods for the past 1800 years is reconstructed based on the typical variations in bromine concentration in one of the cores from the Amur Bay (the Sea of Japan). New methodological approaches to the flood signal extraction are proposed. The revealed inverse correlation between the frequency of floods caused by typhoons over the coast of the Sea of Japan and southern China agrees with the existing assumption on the change in their trajectories in different periods of global climate change.

Russian Meteorology and Hydrology. 2019;44(1):62-70
pages 62-70 views

The Estimation of Solid Precipitation Distribution in the Taiga Zone of the Yenisei River Basin Using Satellite Data

Danilova I.V., Onuchin A.A.

Abstract

A methodology is presented for the estimation of the annual spatial distribution of solid precipitation using GRACE (Gravity Recovery and Climate Experiment) satellite data. The data are provided in the grid cells of 1° (latitude and longitude) and allow calculating the water thickness changes near the Earth’s surface including the snow cover water. The GRACE-based difference in water equivalent between the beginning and end of winter was found to be caused by both snow water and land surface characteristics which control the groundwater movement. The regularities revealed for the analyzed region and spatial detailing enable the construction of annual raster low- and mediumresolution (1° and 90 m, respectively) images of solid precipitation.

Russian Meteorology and Hydrology. 2019;44(1):71-77
pages 71-77 views

Variations in the Concentration of Polychlorinated Biphenyls and Organochlorine Pesticides in Air over the Northern Hovsgol Region in 2008–2015

Mamontova E.A., Tarasova E.N., Mamontov A.A., Goreglyad A.V., Tkachenko L.L.

Abstract

The variations in the concentration of polychlorinated biphenyls (PCBs) and organochlorine pesticides (OCPs) in atmospheric air in the northern Lake Hovsgol region in 2008–2015 is analyzed using passive air sampling data. It was found that the concentrations vary from background values (comparable with those for other high-mountain regions) to the levels typical of large settlements. The quantitative and qualitative variations in the concentration of PCBs and OCPs in air are recorded. The variations characterize the influence of both natural (seasonal variations in temperature and average annual temperature anomalies over the land and sea across the globe and Northern Hemisphere) and anthropogenic factors. There is a trend towards the increase in hexachlorobenzene (HCB) levels and the decrease in hexachlorocyclohexane (HCH) and dichlorodiphenyltrichloroethane (DDT) levels in the atmosphere. No significant variation in the total PCB was found in 2011–2015. The results of the modeling of PCB and OCP fluxes in the air-soil system in the analyzed region demonstrate that deposition prevails over volatilization that corroborates the significance of atmospheric transport for the PCB and OCP inflow to the Lake Hovsgol region.

Russian Meteorology and Hydrology. 2019;44(1):78-85
pages 78-85 views

Stratospheric Circulation Modeling with the SL-AV Semi-Lagrangian Atmospheric Model

Shashkin V.V., Tolstykh M.A., Volodin E.M.

Abstract

The article describes the development of the version of the SL-AV global semi-Lagrangian atmospheric model with high spatial resolution in the stratosphere. The new model version uses the vertical grid of 100 levels, grid spacing of 500 m in the layer between 100 and 10 hPa, and the upper lid at 0.04 hPa. The parameterization of the non-orographic gravity wave drag is implemented. Numerous modifications are introduced in the block for the numerical solution of dynamical equations to enhance model stability. The experiment on atmospheric dynamics modeling for 28 years is carried out. It is shown that the SL-AV model reproduces the main features of stratospheric circulation, such as the polar night stratospheric jet formation and sudden stratospheric warming. The quasi-biennial oscillation of equatorial wind is reproduced with realistic period and amplitude.

Russian Meteorology and Hydrology. 2019;44(1):1-12
pages 1-12 views

Climate Version of the SL-AV Global Atmospheric Model: Development and Preliminary Results

Fadeev R.Y., Tolstykh M.A., Volodin E.M.

Abstract

Seasonal prediction and climate change modeling are carried out on the basis of the programs incorporating the global model of the atmosphere, ocean model, sea ice and land models, etc. Each component of a coupled model has to provide a fairly complete representation of the physical processes in the appropriate medium, while the other components are replaced by reanalysis data. In this paper we present the results of a study aimed at improving the quality of the climate simulation with the SL-AV global atmospheric model where both ocean sur face temperature and ice concentration are prescribed. We also discuss some probtems in tuning the parameterizations of subgrid-scale physical processes and their modifications.

Russian Meteorology and Hydrology. 2019;44(1):13-22
pages 13-22 views