scholarly journals Atmospheric teleconnections between the Arctic and the eastern Baltic Sea regions

2017 ◽  
Vol 8 (4) ◽  
pp. 1019-1030 ◽  
Author(s):  
Liisi Jakobson ◽  
Erko Jakobson ◽  
Piia Post ◽  
Jaak Jaagus
Keyword(s):  
Baltic Sea ◽  
Reanalysis Data ◽  
Specific Humidity ◽  
The Arctic ◽  
Positive Temperature ◽  
Strong Negative Correlation ◽  
Mild Winter ◽  
Baltic Sea Region ◽  
The Arctic Oscillation ◽  
Eastern Baltic

Abstract. The teleconnections between meteorological parameters of the Arctic and the eastern Baltic Sea regions were analysed based on the NCEP-CFSR and ERA-Interim reanalysis data for 1979–2015. The eastern Baltic Sea region was characterised by meteorological values at a testing point (TP) in southern Estonia (58° N, 26° E). Temperature at the 1000 hPa level at the TP have a strong negative correlation with the Greenland sector (the region between 55–80° N and 20–80° W) during all seasons except summer. Significant teleconnections are present in temperature profiles from 1000 to 500 hPa. The strongest teleconnections between the same parameter at the eastern Baltic Sea region and the Arctic are found in winter, but they are clearly affected by the Arctic Oscillation (AO) index. After removal of the AO index variability, correlations in winter were below ±0.5, while in other seasons there remained regions with strong (|R| > 0.5, p < 0.002) correlations. Strong correlations (|R| > 0.5) are also present between different climate variables (sea-level pressure, specific humidity, wind speed) at the TP and different regions of the Arctic. These teleconnections cannot be explained solely with the variability of circulation indices. The positive temperature anomaly of mild winter at the Greenland sector shifts towards east during the next seasons, reaching the Baltic Sea region in summer. This evolution is present at 60 and 65° N but is missing at higher latitudes. The most permanent lagged correlations in 1000 hPa temperature reveal that the temperature in summer at the TP is strongly predestined by temperature in the Greenland sector in the previous spring and winter.

scholarly journals Atmospheric teleconnections between the Arctic and the Baltic Sea regions

2017 ◽  
Author(s):  
Liisi Jakobson ◽  
Erko Jakobson ◽  
Piia Post ◽  
Jaak Jaagus
Keyword(s):  
Baltic Sea ◽  
Reanalysis Data ◽  
Specific Humidity ◽  
The Arctic ◽  
The Baltic Sea ◽  
Sea Ice Concentration ◽  
Strong Negative Correlation ◽  
Baffin Bay ◽  
Baltic Sea Region ◽  
The Baltic

Abstract. The teleconnections between meteorological parameters of the Arctic and the Baltic Sea regions were analysed based on the NCEP-CFSR reanalysis data for 1979–2015. The Baltic Sea region was characterised by meteorological values at a testing point (TP) in Southern Estonia (58 N, 26 E). Temperature and specific humidity at the 1000 hPa level at the TP have a strong negative correlation with the Greenland region during all seasons except summer. The strongest teleconnections between the same parameter at the Baltic Sea region and the Arctic are found in winter, but they are clearly affected by the Arctic Oscillation (AO) index. After removal of the AO index variability, correlations in winter were below ±0.5, while in other seasons there remained regions with strong (|R| > 0.5) correlations. Strong correlations are present between different climate variables at the TP and the Arctic. Temperature and wind speed at the 1000 hPa level in the Baltic Sea region have a significant positive correlation with sea ice concentration in Baffin Bay and in regions between the North Pole and Greenland during all seasons except summer. These teleconnections cannot be explained with the AO index variability. The most permanent lagged correlations in 1000 hPa temperature are in summer at the TP with the Baffin Bay region in the previous spring, winter and even autumn. At every season there are some regions in the Arctic that has strong teleconnections (|R| > 0.5, p 

scholarly journals Meteorological conditions during the MOSAiC expedition

Elem Sci Anth ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Annette Rinke ◽  
John J. Cassano ◽  
Elizabeth N. Cassano ◽  
Ralf Jaiser ◽  
Dörthe Handorf
Keyword(s):  
Reanalysis Data ◽  
Early Spring ◽  
Meteorological Conditions ◽  
The Arctic ◽  
Positive Temperature ◽  
Storm Events ◽  
Radiative Fluxes ◽  
Near Surface ◽  
Cyclone Intensity ◽  
The Arctic Oscillation

This article sets the near-surface meteorological conditions during the Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition in the context of the interannual variability and extremes within the past 4 decades. Hourly ERA5 reanalysis data for the Polarstern trajectory for 1979–2020 are analyzed. The conditions were relatively normal given that they were mostly within the interquartile range of the preceding 4 decades. Nevertheless, some anomalous and even record-breaking conditions did occur, particularly during synoptic events. Extreme cases of warm, moist air transported from the northern North Atlantic or northwestern Siberia into the Arctic were identified from late fall until early spring. Daily temperature and total column water vapor were classified as being among the top-ranking warmest/wettest days or even record-breaking based on the full record. Associated with this, the longwave radiative fluxes at the surface were extremely anomalous for these winter cases. The winter and spring period was characterized by more frequent storm events and median cyclone intensity ranking in the top 25th percentile of the full record. During summer, near melting point conditions were more than a month longer than usual, and the July and August 2020 mean conditions were the all-time warmest and wettest. These record conditions near the Polarstern were embedded in large positive temperature and moisture anomalies over the whole central Arctic. In contrast, unusually cold conditions occurred during the beginning of November 2019 and in early March 2020, related to the Arctic Oscillation. In March, this was linked with anomalously strong and persistent northerly winds associated with frequent cyclone occurrence to the southeast of the Polarstern.

scholarly journals Drought identification in the eastern Baltic region using NDVI

2017 ◽  
Vol 8 (3) ◽  
pp. 627-637 ◽  
Author(s):  
Egidijus Rimkus ◽  
Edvinas Stonevicius ◽  
Justinas Kilpys ◽  
Viktorija Maciulyte ◽  
Donatas Valiukas
Keyword(s):  
Baltic Sea ◽  
Arable Land ◽  
Coniferous Forest ◽  
Northwestern Part ◽  
Drought Effect ◽  
Vegetation Season ◽  
Vegetation Condition ◽  
Baltic Sea Region ◽  
The Impact ◽  
Eastern Baltic

Abstract. Droughts are phenomena that affect large areas. Remote sensing data covering large territories can be used to assess the impact and extent of droughts. Drought effect on vegetation was determined using the normalized difference vegetation index (NDVI) and Vegetation Condition Index (VCI) in the eastern Baltic Sea region located between 53–60° N and 20–30° E. The effect of precipitation deficit on vegetation in arable land and broadleaved and coniferous forest was analysed using the Standardized Precipitation Index (SPI) calculated for 1- to 9-month timescales. Vegetation has strong seasonality in the analysed area. The beginning and the end of the vegetation season depends on the distance from the Baltic Sea, which affects temperature and precipitation patterns. The vegetation season in the southeastern part of the region is 5–6 weeks longer than in the northwestern part. The early spring air temperature, snowmelt water storage in the soil and precipitation have the largest influence on the NDVI values in the first half of the active growing season. Precipitation deficit in the first part of the vegetation season only has a significant impact on the vegetation on arable land. The vegetation in the forests is less sensitive to the moisture deficit. Correlation between VCI and the same month SPI1 is usually negative in the study area. It means that wetter conditions lead to lower VCI values, while the correlation is usually positive between the VCI and the SPI of the previous month. With a longer SPI scale the correlation gradually shifts towards the positive coefficients. The positive correlation between 3- and 6-month SPI and VCI was observed on the arable land and in both types of forests in the second half of vegetation season. The precipitation deficit is only one of the vegetation condition drivers and NDVI cannot be used universally to identify droughts, but it may be applied to better assess the effect of droughts on vegetation in the eastern Baltic Sea region.

scholarly journals Horsemeat in the culinary traditions of the Mishär Tatar diaspora in the eastern Baltic Sea region: cultural and historical aspects

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Ingvar Svanberg ◽  
Sabira Ståhlberg ◽  
Renat Bekkin
Keyword(s):  
Twentieth Century ◽  
Baltic Sea ◽  
Domestic Consumption ◽  
Food Stores ◽  
Historical Aspects ◽  
Saint Petersburg ◽  
Baltic Sea Region ◽  
Culinary Traditions ◽  
Sea Area ◽  
Eastern Baltic

Abstract Hippophagy is still unthinkable in many European countries, but in the Mishär Tatar culinary tradition, horsemeat products play an important role. Part of the Mishär Tatars, originally from Nizhny Novgorod province (Russia), migrated to the eastern Baltic Sea region in the nineteenth and early twentieth century. They continued to slaughter horses and eat horseflesh, despite being opposed and stigmatized by the majority in their new surroundings. Today, home slaughtering has disappeared, and the tradition focuses mainly on sausages prepared for domestic consumption or bought in food stores. Horsemeat is today considered a delicacy and an important aspect of commensality among Mishär Tatars. There is a small and persistent market for horseflesh products in the eastern Baltic Sea area, mainly Finland, Saint Petersburg (Russia), Estonia, and Latvia. Hippophagy continues to play an important role for the diaspora Mishär Tatar identity and the preservation of traditional narrative and culture, and so far it has resisted all adaptation attempts in the majority societies, where horsemeat is frowned upon.

scholarly journals Atmospheric circulation and storm events in the Baltic Sea

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
G. V. Surkova ◽  
Victor S. Arkhipkin ◽  
Alexander V. Kislov
Keyword(s):  
Baltic Sea ◽  
Wave Model ◽  
Recognition Algorithm ◽  
The Arctic ◽  
Storm Event ◽  
Storm Events ◽  
The Baltic Sea ◽  
Circulation Types ◽  
The Arctic Oscillation ◽  
The Baltic

AbstractThe storm events in the Baltic Sea are examined in connection with the main weather patterns grouped into the circulation types (CTs), and their changes in present climate. A calendar of storms was derived from results of wave model SWAN (Simulating WAves Nearshore) experiments for 1948-2011. Based on this calendar, a catalogue of atmospheric sea level pressure (SLP) fields was prepared for CTs from the NCEP/NCAR dataset. SLP fields were then analyzed using a pattern recognition algorithm which employed empirical orthogonal decomposition and cluster analysis. For every CT we conducted an analysis of their seasonal and interannual changes, along with their role in storm event formation. An increase of the storm CTs’ frequency in the second part of the 20th century was shown to be in a close agreement with teleconnection circulation patterns such as the Arctic Oscillation, North Atlantic Oscillation and the Scandinavian blocking.

scholarly journals Cold-Season Tornadoes: Climatological and Meteorological Insights

2018 ◽  
Vol 33 (3) ◽  
pp. 671-691 ◽  
Author(s):  
Samuel J. Childs ◽  
Russ S. Schumacher ◽  
John T. Allen
Keyword(s):  
United States ◽  
Public Awareness ◽  
Warm Season ◽  
Cold Season ◽  
Reanalysis Data ◽  
The Arctic ◽  
Current State ◽  
The Arctic Oscillation ◽  
Bull's Eye ◽  
Convective Mode

Abstract Tornadoes that occur during the cold season, defined here as November–February (NDJF), pose many societal risks, yet less attention has been given to their climatological trends and variability than their warm-season counterparts, and their meteorological environments have been studied relatively recently. This study aims to advance the current state of knowledge of cold-season tornadoes through analysis of these components. A climatology of all (E)F1–(E)F5 NDJF tornadoes from 1953 to 2015 across a domain of 25°–42.5°N, 75°–100°W was developed. An increasing trend in cold-season tornado occurrence was found across much of the southeastern United States, with a bull’s-eye in western Tennessee, while a decreasing trend was found across eastern Oklahoma. Spectral analysis reveals a cyclic pattern of enhanced NDJF counts every 3–7 years, coincident with the period of ENSO. La Niña episodes favor enhanced NDJF counts, but a stronger relationship was found with the Arctic Oscillation (AO). From a meteorological standpoint, the most-tornadic and least-tornadic NDJF seasons were compared using NCEP–NCAR reanalysis data of various severe weather and tornado parameters. The most-tornadic cold seasons are characterized by warm and moist conditions across the Southeast, with an anomalous mean trough across the western United States. In addition, analysis of the convective mode reveals that NDJF tornadoes are common in both discrete and linear storm modes, yet those associated with discrete supercells are more deadly. Taken together, the perspectives presented here provide a deeper understanding of NDJF tornadoes and their societal impacts, an understanding that serves to increase public awareness and reduce human casualty.

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