scholarly journals USING REANALYSIS DATA FOR RESEARCHING THE ICE COVER OF THE SEA OF AZOV

Author(s):  
A.A. Magaeva ◽  
◽  

The article presents an analysis of the results of the OSI-450 reanalysis as an alternative data source for the study of the ice cover of the Azov Sea. OSI-450 is the second major version of the OSI SAF Global Sea Ice Concentration Climate Data Record (CDR). The OSI-450 product is available for the period 1979 to 2015.Using licensed software ArcGIS 10.*, a model for data processing was created. The average long-term value of the ice cover for the period 2000–2015 according to the OSI-450 reanalysis data is 23.3 %, according to GIS data – 37.2 %; the maximum and minimum values are 43 % / 69.4 % and 8.2 % / 8 %, respectively. The correlation coefficient with the sum of average monthly air temperatures is minus 0.87 (air temperature for the winter season is a main factor that determines the ice conditions of the Sea of Azov). It is shown that the OSI-450 reanalysis data underestimate the ice extent for the season, but on the whole reproduces the long-term dynamics of the ice cover for the period under consideration. Based on the study, it was concluded that the OSI-450 reanalysis can act as an alternative source of data on the state of the ice cover, but taking into account correction factors.

Author(s):  
L.V. Dashkevich ◽  

The article discusses the long-term changes in air temperature, wind speed and precipitation amount according to observations at the Primorsko-Akhtarsk, Kerch, Genichesk hydrometeorological stations on the coast of the Sea of Azov Analysis of the data for the selected periods revealed an increase in the average values of air temperature from the beginning of the 20th to the beginning of the 21st centuries, both at annual values and for all seasons. The largest increase in average values was noted for the winter, slightly less for the spring-summer season. Warming affected the southern coast least of all. On the entire coast of the Sea of Azov, a decrease in the average annual and seasonal wind speeds is observed throughout the entire century under consideration. The value of the standard deviation of wind speeds has decreased significantly, especially in the winter season. The largest decrease in the average annual and seasonal wind speeds (more than 2 times) was noted at the Primorsko-Akhtarsk HMS. From the beginning of the 20th century to the beginning of the 21st century, there is an increase in the average annual amounts of atmospheric precipitation on the western and southern coast of the sea (by about 130 mm) with an increase in the variability of their amount from year to year. Seasonal changes in the distribution of precipitation were revealed: in the modern period, the proportion of winter and spring precipitation has increased, while the proportion of autumn and, especially, summer precipitation has decreased. The greatest changes in the precipitation regime were noted for the Primorsko-Akhtarsk HMS.


2018 ◽  
Vol 58 (3) ◽  
pp. 373-386 ◽  
Author(s):  
N. V. Yaitskaya ◽  
A. A. Magaeva

The ice regime of the Sea of Azov over the period of 20th and 21nd centuries was investigated using the author's GIS «The ice regime of the Southern Seas of the Russia». The long-term dynamics of the ice cover, duration of the ice stay as well as beginning and end of the ice period were considered. It has been found that for the period of 1950–2015 the average annual value of the Azov Sea ice cover area is 33%, while the average area of the fast ice is 6.3% of the total area of the sea. Value of duration of the ice cover stay on the sea surface has been refined, and this value is 115 days near the hydro-meteorological station (HMS) Taganrog and 63 days near the HMS Kerch. The typification of winters according to the degree of severity was performed on the basis of data from three coastal meteorological stations: Taganrog, Genichesk, and Kerch. Winters of moderate type were shown to be prevailing during the entire analyzed period. Totally, 15 severe, 70 moderate and 40 mild winters were isolated for the period 1883-2015, while for 1950–2015 the statistics was the following: 9 severe, 43 moderate, and 14 mild winters in Taganrog, and 10 severe, 40 moderate, and 16 mild winters in Kerch.


Author(s):  
Anastasiia Magaeva ◽  
Natalia Yaitskaya

The article is dedicated to the investigation of the fast ice dynamics for the period 2000–2020 according to satellite data and field observations using GIS technologies. We used data from International Data Center – Sea Ice and coastal observation points to analyze long-term changes. Data processing and analysis was carried out using the ArcGIS 10.4 software package. As a result, data were obtained on the spatial and temporal variability of fast ice in the Sea of Azov for the 2000–2020. The area and width of fast ice, the periods of formation, destruction and duration were analyzed. The maps of the fast ice formation frequency were constructed for each month of the winter period: December–March. It is shown that the duration of fast ice on all coastal observation points decreased: for points on the northern coast Taganrog and Mariupol—by 3–5 days, for points on the southern coast of Taganrog Bay—Yeisk and Dolzhanskaya—by 10–12 days, for point Genichesk—7 days. Average long-term fast ice area for 2000–2020 is 1800 km2. But against the background of an increase in winter air temperatures, the fast ice area is decreasing, and in the last winter periods it is not observed. The width of the fast ice at the northern coast of the Sea of Azov and the Taganrog Bay is 5–10 km. In the western and southeastern parts of the sea (sections Temryuk, Arabatskaya and Obitochny), the fast ice width is 2–5 km on average over the winter and was observed in 25 % of cases.


Author(s):  
L.V. Dashkevich ◽  
◽  
L.D. Nemtseva ◽  
S.V. Berdnikov ◽  
◽  
...  

2019 ◽  
Vol 4 (2) ◽  
pp. 63-70
Author(s):  
Zh. P. Selifonova

The Sea of Azov is an inland freezing marine water basin. Winter season is considered to be one of the most important seasons for understanding patterns of functioning and formation of productivity of the ecosystem of the Sea of Azov. However, holo- and meroplankton during the formation of ice cover in the sea have not been studied enough. In recent years, several alien species, including Arctic species of polychaete worms, which in their development have the stage of pelagic larvae, have naturalized in the Sea of Azov. The aim of the work is to study the taxonomic composition and numerical abundance of winter holo- and meroplankton of the Sea of Azov in December 2018. Zooplankton sampling was conducted in the bays of the Sea of Azov, viz., Taganrog and Temryuk during the formation of seasonal ice cover. Zooplankton samples were collected from December 3 to 14 at temperatures from 0 to +3 °C at 14 stations, 9 of which were performed in the Taganrog Bay (the port area of Yeisk) in three replications, and 5 of which – in the Temryuk Bay (each sample – in one replication). Zooplankton was sampled throughout the water column at depths of 4–8 meter using a big-sized Juday net with an opening diameter of 37 cm (mesh size was 120 μm) by total catch. The material was fixed by 2–4 % neutral formaldehyde and treated in the laboratory by the conventional procedure. Calculations of biomass were made using the tables of the average mass of organisms. The results showed that under similar temperature conditions the density of holo- and meroplankton organisms in the Taganrog Bay was four times higher than in the Temryuk Bay. Winter subglacial zooplankton was represented by two groups of organisms – native eurythermic forms of holoplankton and polychaetes larvae. As before, calanoid copepod composition was dominated by euryhaline Ponto-Caspian species Eurytemora affinis (Poppe, 1880). However, the species composition of the winter meroplankton of the Sea of Azov changed significantly in comparison with that of the period up to 2014. Unusual high density (118–119.9 thousand ind.·m−3) of polychaete larvae of Marenzelleria genus, the recent invader in the Sea of Azov, was registered in the Taganrog Bay at a low water temperature of 0…+1.2 °C. The peak of zooplankton numerical density (128.9–136.7 thousand ind.·m−3) was observed in winter season for the first time. Winter subglacial maximum of abundance of the polychaetes larvae of Marenzelleria sp. was 4–6 times higher than the abundance of meroplankton, previously noted in June, the most productive month of the year. Naturalization of polychaete worms Marenzelleria sp. can lead to a radical restructuring of the Sea of Azov ecosystem and to an increase of its productivity. Further studies of the phenology of these polychaetes larval stages in this basin are needed.


2018 ◽  
Author(s):  
Thomas Lavergne ◽  
Atle Macdonald Sørensen ◽  
Stefan Kern ◽  
Rasmus Tonboe ◽  
Dirk Notz ◽  
...  

Abstract. We introduce the OSI-450, the SICCI-25km and the SICCI-50km climate data records of gridded global sea-ice concentration. These three records are derived from passive microwave satellite data and offer three distinct advantages compared to existing records: First, all three records provide quantitative information on uncertainty and possibly applied filtering at every grid point and every time step. Second, they are based on dynamic tie points, which capture the time evolution of surface characteristics of the ice cover and accommodate potential calibration differences between satellite missions. Third, they are produced in the context of sustained services offering committed extension, documentation, traceability, and user support. The three records differ in the underlying satellite data (SMMR & SSM/I & SSMIS or AMSR-E & AMSR2), in the imaging frequency channels (37 GHz and either 6 GHz or 19 GHz), in their horizontal resolution (25 km or 50 km) and in the time period they cover. We introduce the underlying algorithms and provide an initial evaluation. We find that all three records compare well with independent estimates of sea-ice concentration both in regions with very high sea-ice concentration and in regions with very low sea-ice concentration. We hence trust that these records will prove helpful for a better understanding of the evolution of the Earth's sea-ice cover.


Oceanology ◽  
2008 ◽  
Vol 48 (3) ◽  
pp. 390-400 ◽  
Author(s):  
G. G. Matishov ◽  
I. V. Shokhin ◽  
M. V. Nabozhenko ◽  
V. V. Pol’shin

2012 ◽  
Vol 8 (2) ◽  
pp. 1443-1483 ◽  
Author(s):  
M. Nolan

Abstract. We compared 7 years of local automated weather station (AWS) data to NCEP/NCAR reanalysis data to characterize the modern environment of Lake El'gygytgyn, in Chukotka Russia. We then used this comparison to estimate the air temperatures required to initiate and maintain multi-year lake-ice covers to aid in paleoclimate reconstructions of the 3.6 M years sediment record recovered from there. We present and describe data from our AWS from 2002–2008, which recorded air temperatures, relative humidity, precipitation, barometric pressure, and wind speed/direction, as well as subsurface soil moisture and temperature. Measured mean annual air temperature (MAAT) over this period was −10.4 °C with a slight warming trend during the measurement period. NCEP/NCAR reanalysis air temperatures compared well to this, with annual means within 0.1 to 2.0 °C of the AWS, with an overall mean 1.1 °C higher than the AWS, and daily temperature trends having a correlation of over 96% and capturing the full range of variation. After correcting for elevation differences, barometric pressure discrepancies occasionally reached as high as 20 mbar higher than the AWS particularly in winter, but the correlation in trends was high at 92%, indicating that synoptic-scale weather patterns driving local weather likely are being captured by the reanalysis data. AWS cumulative summer rainfall measurements ranged between 70–200 mm during the record. NCEP/NCAR reanalysis precipitation failed to predict daily events measured by the AWS, but largely captured the annual trends, though higher by a factor of 2–4. NCEP air temperatures showed a strong trend in MAAT over the 1961–2009 record, rising from a pre-1995 mean of −12.0 °C to a post-1994 mean of −9.8 °C. We found that nearly all of this change could be explained by changes in winter temperatures, with mean winter degree days (DD) rising from −5043 to −4340 after 1994 and a much smaller change in summer DD from +666 to +700. Thus, the NCEP record indicates that nearly all modern change in MAAT is driven by changes in winter (which promotes lake-ice growth) not summer (which promotes lake-ice melt). Whether this sensitivity is representative of paleo-conditions is unclear, but it is clear that the lake was unlikely to have initiated a multi-year ice cover since 1961 based on simple DD models of ice dynamics. Using these models we found that the NCEP/NCAR reanalysis mean MAAT over 1961–2009 would have to be at least 4 °C colder to initiate a multi-year ice cover, but more importantly that multi-year ice covers are largely controlled by summer melt rates at this location. Specifically we found that summer DD would have to drop by more than half the modern mean, from +640 to +280. Given that the reanalysis temperatures appears about 1 °C higher than reality, a MAAT cooling of 3 °C may be sufficient in the real world, but as described in the text we consider a cooling of −4°C ± 0.5 °C a reasonable requirement for multi-year ice covers. Also perhaps relevant to paleo-climate proxy interpretation, at temperatures cold enough to maintain a multi-year ice cover, the summer temperatures could still be sufficient for a two-month long thawing period, including a month at about +5 °C Thus it is likely that many summer biological processes and some lake-water warming and mixing may still have been occurring beneath perennial ice-covers; core proxies have already indicated that such perennial ice-covers may have persisted for tens of thousands of years at various times within the 3.6 M years record.


2013 ◽  
Vol 6 (1) ◽  
pp. 95-117
Author(s):  
G. Peng ◽  
W. N. Meier ◽  
D. J. Scott ◽  
M. H. Savoie

Abstract. A long-term, consistent, and reproducible satellite-based passive microwave sea ice concentration climate data record (CDR) is available for climate studies, monitoring, and model validation with an initial operation capability (IOC). The daily and monthly sea ice concentration data are on the National Snow and Ice Data Center (NSIDC) polar stereographic grid with nominal 25 × 25 km grid cells in both the Southern and Northern Hemisphere Polar Regions from 9 July 1987 to 31 December 2007 with an update through 2011 underway. The data files are available in the NetCDF data format at http://nsidc.org/data/g02202.html and archived by the National Oceanic and Atmospheric Administration (NOAA)'s National Climatic Data Center (NCDC) under the satellite climate data record program (http://www.ncdc.noaa.gov/cdr/operationalcdrs.html). The description and basic characteristics of the NOAA/NSIDC passive microwave sea ice concentration CDR are presented here. The CDR provides similar spatial and temporal variability as the heritage products to the user communities with the additional documentation, traceability, and reproducibility that meet current standards and guidelines for climate data records. The dataset along with detailed data processing steps and error source information can be found at: doi:10.7265/N5B56GN3.


2019 ◽  
Vol 13 (1) ◽  
pp. 49-78 ◽  
Author(s):  
Thomas Lavergne ◽  
Atle Macdonald Sørensen ◽  
Stefan Kern ◽  
Rasmus Tonboe ◽  
Dirk Notz ◽  
...  

Abstract. We introduce the OSI-450, the SICCI-25km and the SICCI-50km climate data records of gridded global sea-ice concentration. These three records are derived from passive microwave satellite data and offer three distinct advantages compared to existing records: first, all three records provide quantitative information on uncertainty and possibly applied filtering at every grid point and every time step. Second, they are based on dynamic tie points, which capture the time evolution of surface characteristics of the ice cover and accommodate potential calibration differences between satellite missions. Third, they are produced in the context of sustained services offering committed extension, documentation, traceability, and user support. The three records differ in the underlying satellite data (SMMR & SSM/I & SSMIS or AMSR-E & AMSR2), in the imaging frequency channels (37 GHz and either 6 or 19 GHz), in their horizontal resolution (25 or 50 km), and in the time period they cover. We introduce the underlying algorithms and provide an evaluation. We find that all three records compare well with independent estimates of sea-ice concentration both in regions with very high sea-ice concentration and in regions with very low sea-ice concentration. We hence trust that these records will prove helpful for a better understanding of the evolution of the Earth's sea-ice cover.


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