scholarly journals Spatial and temporal variability of Atlantic Water in the Arctic from observations

2021 ◽  
Author(s):  
Alice Elizabeth Richards ◽  
Helen Louise Johnson ◽  
Camille Lique
2017 ◽  
Vol 60 (5) ◽  
pp. 858-865 ◽  
Author(s):  
Tao Xie ◽  
William Perrie ◽  
He Fang ◽  
Li Zhao ◽  
WenJin Yu ◽  
...  

Author(s):  
Monica Ionita ◽  
Silvia Chelcea

In this study we have examined the spatial and temporal variability of seasonal short-term drought over Dobrogea region over the period 1965 -2005. The dominant mode of spatial variability captures an in-phase relationship of drought conditions over the entire analyzed region, for all the seasons. We show that the Arctic/North Atlantic Oscillation patterns control a significant part of the interannual drought variability over the Dobrogea region in all seasons. Dry (wet) periods in Dobrogea region are associated with geopotential height anomalies at 850mb that project onto the negative (positive) phase of Arctic/North Atlantic Oscillation. Moreover, the SST anomalies from the Atlantic Ocean realm and potential evapotranspiration anomalies over the south eastern part of Romania play also a significant role on the variability of drought conditions over Dobrogea region.


2010 ◽  
Vol 26 ◽  
pp. 93-97 ◽  
Author(s):  
E. Bartolini ◽  
P. Claps ◽  
P. D'Odorico

Abstract. Winter snowfall and its temporal variability are important factors in the development of water management strategies for snow-dominated regions. For example, mountain regions of Europe rely on snow for recreation, and on snowmelt for water supply and hydropower. It is still unclear whether in these regions the snow regime is undergoing any major significant change. Moreover, snow interannual variability depends on different climatic variables, such as precipitation and temperature, and their interplay with atmospheric and pressure conditions. This paper uses the EASE Grid weekly snow cover and Ice Extent database from the National Snow and Ice Data Center to assess the possible existence of trends in snow cover across Europe. This database provides a representation of snow cover fields in Europe for the period 1972–2006 and is used here to construct snow cover indices, both in time and space. These indices allow us to investigate the historical spatial and temporal variability of European snow cover fields, and to relate them to the modes of climate variability that are known to affect the European climate. We find that both the spatial and temporal variability of snow cover are strongly related to the Arctic Oscillation during wintertime. In the other seasons, weaker correlation appears between snow cover and the other patterns of climate variability, such as the East Atlantic, the East Atlantic West Russia, the North Atlantic Oscillation, the Polar Pattern and the Scandinavian Pattern.


2001 ◽  
Vol 33 ◽  
pp. 74-78 ◽  
Author(s):  
Mark R. Anderson ◽  
Sheldon D. Drobot

AbstractClimate models suggest surface warming in the Arctic will be rapid and pronounced, implying substantial changes in snowmelt onset are likely. This research therefore examines spatial and temporal variability in passive-microwave derived snow-melt-onset dates over Arctic sea ice. The objectives are to understand better the regional characteristics of snowmelt and to document whether the snowmelt-onset record shows signs of climate change. Snowmelt-onset dates are derived with Scanning Multichannel Microwave Radiometer and Special Sensor Microwave/Imager brightness-temperature data, and they are subsequently stratified into 13 regions to analyze spatial and temporal variability. Results illustrate significant spatial variability in snowmelt onset, with the median annual snowmelt-onset date in one region of the Arctic typically being statistically different from most other regions. The examination of temporal variability also shows large interannual differences in the median snowmelt-onset date in most regions. Additionally, trends towards earlier snowmelt onset are documented in the West Central Arctic, Lincoln Sea, Beaufort Sea and Canadian Arctic Archipelago regions.


2012 ◽  
Vol 23 (3) ◽  
pp. 207-217 ◽  
Author(s):  
Kenneth M. Hinkel ◽  
John D. Lenters ◽  
Yongwei Sheng ◽  
Evan A. Lyons ◽  
Richard A. Beck ◽  
...  

1995 ◽  
Vol 21 ◽  
pp. 323-329 ◽  
Author(s):  
Gregory M. Flato

A numerical model is used to study the spatial and temporal variability of ice thickness in the Arctic. The model is run to cyclo-stationary equilibrium, forced with daily varying geostrophic winds and monthly varying surface air temperatures from 1951 to 1990. Decadal-average winter ice-thickness fields exhibit a trend of increasing ice thickness in the East Siberian Sea and somewhat thicker ice overall in the 1980s. Inter-annual variability was largest in the Beaufort and East Siberian Seas and generally lower in the Laptev Sea and central Arctic. Spatial correlation patterns show that ice thickness at a point is correlated with ice thickness over a surrounding area of roughly 4 × 105 km2 with a correlation coefficient of 0.7. Temporal auto-correlation functions indicate that the total ice volume has a correlation time-scale of roughly 7 years, while the volume of ice between 2 and 5 m thick and the volume of ice less than 1 m thick have correlation times of roughly 2 years and 2 months, respectively.


Author(s):  
Monica Ionita ◽  
Silvia Chelcea

In this study we have examined the spatial and temporal variability of seasonal short-term drought over Dobrogea region over the period 1965 -2005. The dominant mode of spatial variability captures an in-phase relationship of drought conditions over the entire analyzed region, for all the seasons. We show that the Arctic/North Atlantic Oscillation patterns control a significant part of the interannual drought variability over the Dobrogea region in all seasons. Dry (wet) periods in Dobrogea region are associated with geopotential height anomalies at 850mb that project onto the negative (positive) phase of Arctic/North Atlantic Oscillation. Moreover, the SST anomalies from the Atlantic Ocean realm and potential evapotranspiration anomalies over the south eastern part of Romania play also a significant role on the variability of drought conditions over Dobrogea region.


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