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Atmospheric teleconnections between the Arctic and the Baltic Sea region as simulated by CESM1-LE
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Abstract. This paper examines teleconnections between the Arctic and the Baltic Sea region and is based on two cases of CESM-LE climate model simulations': the stationary case with pre-industrial radiative forcing and the climate change case with measured and RCP8.5 radiative forcing. Stationary control simulation 1800-year long time-series were used for stationary teleconnection and 40-member ensemble from the period 1920–2100 for teleconnections during ongoing climate change. We analyzed seasonal temperature at a 2-meter level, sea-level pressure, sea ice concentration, precipitations, geopotential height and 10-meter level wind speed. The Arctic was divided into seven areas. The Baltic Sea region climate has strong teleconnections with the Arctic climate; the strongest connections are with Svalbard and Greenland region. There is high seasonality in the teleconnections, with the strongest correlations in winter and the lowest correlations in summer, when the local factors are stronger. The majority of teleconnections in winter and spring can be explained by climate indexes NAO and AO. During ongoing climate change, the teleconnection patterns did not show remarkable developments by the end of the 21st century. Minor pattern changes are between the Baltic Sea region temperature and the sea ice concentration. To estimate different Arctic regions' collective statistical connections with the Baltic Sea region, we calculated the correlation between the parameter and its Ridge regression estimation. Seasonal coefficient of determination, R2, were highest for winter: for temperature R2 = 0.64, for surface pressure R2 = 0.44 and for precipitation R2 = 0.35. When doing the same for the seasons' previous month values in the Arctic, the relations are considerably weaker with the highest R2 = 0.09 for temperature in the spring. Hence, the forecasting capacity of Arctic climate data for the Baltic Sea region is weak. Although there are statistically significant teleconnections between the Arctic and Baltic Sea region, the Arctic impacts are regional and mostly connected with climate indexes. There are no simple cause-and-effect pathways. By the end of the 21st century, the Arctic ice concentration has significantly decreased. Still, the general teleconnections pattern between the Arctic and the Baltic Sea region will not change considerably by the end of the 21st century.
Title: Atmospheric teleconnections between the Arctic and the Baltic Sea region as simulated by CESM1-LE
Description:
Abstract.
This paper examines teleconnections between the Arctic and the Baltic Sea region and is based on two cases of CESM-LE climate model simulations': the stationary case with pre-industrial radiative forcing and the climate change case with measured and RCP8.
5 radiative forcing.
Stationary control simulation 1800-year long time-series were used for stationary teleconnection and 40-member ensemble from the period 1920–2100 for teleconnections during ongoing climate change.
We analyzed seasonal temperature at a 2-meter level, sea-level pressure, sea ice concentration, precipitations, geopotential height and 10-meter level wind speed.
The Arctic was divided into seven areas.
The Baltic Sea region climate has strong teleconnections with the Arctic climate; the strongest connections are with Svalbard and Greenland region.
There is high seasonality in the teleconnections, with the strongest correlations in winter and the lowest correlations in summer, when the local factors are stronger.
The majority of teleconnections in winter and spring can be explained by climate indexes NAO and AO.
During ongoing climate change, the teleconnection patterns did not show remarkable developments by the end of the 21st century.
Minor pattern changes are between the Baltic Sea region temperature and the sea ice concentration.
To estimate different Arctic regions' collective statistical connections with the Baltic Sea region, we calculated the correlation between the parameter and its Ridge regression estimation.
Seasonal coefficient of determination, R2, were highest for winter: for temperature R2 = 0.
64, for surface pressure R2 = 0.
44 and for precipitation R2 = 0.
35.
When doing the same for the seasons' previous month values in the Arctic, the relations are considerably weaker with the highest R2 = 0.
09 for temperature in the spring.
Hence, the forecasting capacity of Arctic climate data for the Baltic Sea region is weak.
Although there are statistically significant teleconnections between the Arctic and Baltic Sea region, the Arctic impacts are regional and mostly connected with climate indexes.
There are no simple cause-and-effect pathways.
By the end of the 21st century, the Arctic ice concentration has significantly decreased.
Still, the general teleconnections pattern between the Arctic and the Baltic Sea region will not change considerably by the end of the 21st century.
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