Volume 43, Nº 9 (2018)

The contributions of radiative forcing of greenhouse gases (GHG) and Atlantic Multidecadal Oscillation (AMO) to the trends in global surface air temperature (GST) and surface air temperature for different latitude bands are estimated. Instrumental observational data obtained since the middle of the 19th century and three-component autoregressive models are used. Characteristics of influences of both factors on GST (Wiener–Granger causality) are obtained. The contribution of AMO over the length intervals of 15–30 years appears comparable in absolute value to the contribution of GHG and sometimes even exceeds it, while its contribution over 60-year and longer periods is insignificant. During the recent decades, GHG contribute stronger to the trends of GST and tropical surface air temperature, while their contribution to the trends in surface air temperature in the middle and high latitudes is smaller.

The paper present description of the environmental conditions that favored the tornado event in the city of Blagoveshchensk at about 19:00 local time on July 31, 2011 as well as the tornado characteristics. The tornado was formed near the center of the city, then crossed it and caused significant damage. The tornado is classified in EF2 category of the Enhanced Fujita-Pearson scale. Atmospheric conditions near Blagoveshchensk on July 31, 2011 were favorable for the tornado initiation which occurred in the frontal zone of the cyclone over the warm underlying surface. The analysis of meteorological conditions during the tornado event are presented. A numerical study of the tornado was conducted to clarify its characteristics and environmental conditions during the event.

Data on salinity and δ¹⁸O from the NASA open-source database are used to estimate the Laptev Sea water mass transformation during ice formation and melting. The indicator of these processes is salinity variation. The estimates for the Laptev Sea show that the amount of meltwater can reach 40% for the sea water with salinity below 7 psu. In this case, sea water salinity reduction due to the meltwater inflow alone can be equal to 0.2-0.7 psu. In the sea water with salinity above 7 psu, ice formation prevails over ice melting. This process is the most strongly pronounced in the range of sea water salinity from 15 to 25 psu. In this salinity range, the average water removal for the ice formation makes up 9% (the maximum is 24%), and the average salinity growth is 0.5 psu (the maximum is 1.7 psu). The most transformed sea water masses during ice formation are located in the bottom layer of the shallow southern and southeastern parts of the Laptev Sea, where the sea depth is not more than 50 m.

In recent decades, the number of dust events has increased significantly in the west and southwest of Iran. In this research, a survey on the dust events during the period 1990–2013 is carried out using historical dust data collected from seven synoptic stations scattered across the west and southwest of Iran. Using statistical analysis of the observational data, two of the most severe dust storm events that occurred in the region on July 4–7, 2009 and June 17–20, 2012 were selected and analyzed synoptically. NCEP/NCAR reanalysis dataset was used to obtain the required fields including sea level pressure, surface wind field, geopotential height at 500 hPa, and wind and vertical motion at the 850 hPa level. Moreover, weather research and forecasting model coupled with chemistry (WRF-Chem) with two aerosol schemes, GOCART and MADE/SORGAM, were used to simulate the amount of particulate matter (PM10) and its transportation over the studied region. The initial and lateral boundary conditions of the model simulations are provided by Global Forecast System (GFS) data with the horizontal resolution of 0.5°. The calculations demonstrated that the MADE/SORGAM scheme predicted the values and trends of PM₁₀ better than GOCART. Dust plums are formed over Iraq and Syria and then transported to the west and southwest of Iran. Comparing the MODIS satellite images for July 4, 2009 and June 18, 2012 with the corresponding model output showed the good performance of WRF-Chem in simulating the spatial distribution of dust.

Based on observational data from 30 weather stations in Georgia for the period of 1936–2013, the geography, statistical structure, intensity, duration, and dynamics of tropical nights are investigated. The geoinformation map was constructed for the number of tropical nights for the WMO base period. The periods of occurrence and return of their different gradations and the regularities of long-term variations are revealed.