scholarly journals Model-simulated interannual variability of Lake Erie ice cover, circulation, and thermal structure in response to atmospheric forcing, 2003-2012

2013 ◽  
Vol 118 (9) ◽  
pp. 4286-4304 ◽  
Author(s):  
Ayumi Fujisaki ◽  
Jia Wang ◽  
Xuezhi Bai ◽  
George Leshkevich ◽  
Brent Lofgren
Keyword(s):  
Interannual Variability ◽  
Lake Erie ◽  
Thermal Structure ◽  
Ice Cover ◽  
Atmospheric Forcing

Application of a two-dimensional hydrodynamic reservoir model to Lake Erie

2001 ◽  
Vol 58 (5) ◽  
pp. 858-869 ◽  
Author(s):  
L Boegman ◽  
M R Loewen ◽  
P F Hamblin ◽  
D A Culver
Keyword(s):  
Lake Erie ◽  
Nutrient Loading ◽  
Thermal Structure ◽  
Domain Model ◽  
Water Level Fluctuations ◽  
Two Dimensional ◽  
Large Lakes ◽  
Physical Forcing ◽  
Model Predictions ◽  
Averaged Model

The relative impacts of changes in nutrient loading and zebra mussel establishment on plankton in large lakes are strongly influenced by hydrodynamics, yet adequately modelling the temporal-spatial complexity of physical and biological processes has been difficult. We adapted a two-dimensional public domain model, CE-QUAL-W2, to test whether it could provide a hydrodynamically accurate simulation of the seasonal variation in the vertical-longitudinal thermal structure of Lake Erie. The physical forcing for the model is derived from surface meteorological buoys and measurements of precipitation, inflows, and outflows. To calibrate and validate the model, predictions were compared with an extensive set of field data collected during May through September 1994. The model accurately predicted water-level fluctuations without adjustment. However, significant modifications to the eddy coefficient turbulence algorithm were required to simulate acceptable longitudinal currents. The thermal structure was accurately predicted in all three basins, even though this laterally averaged model cannot simulate Coriolis effects. We are currently extending the model's water-quality module to include the effects of nutrient loading and zebra mussels on the plankton.

scholarly journals Seasonal and interannual changes of ice massifs in East Siberian sea

2018 ◽  
Vol 64 (3) ◽  
pp. 229-240 ◽  
Author(s):  
A. V. Yulin ◽  
M. V. Sharatunova ◽  
E. A. Pavlova ◽  
V. V. Ivanov
Keyword(s):  
Interannual Variability ◽  
20Th Century ◽  
Autonomous Navigation ◽  
Ice Cover ◽  
Cold Period ◽  
Main Difficulty ◽  
East Siberian Sea ◽  
Climatic Period ◽  
Fast Decrease ◽  
Ice Conditions

The paper considers the seasonal and interannual variability of the Novosibirsky and Ayonsky ice massifs of the East Siberian Sea, which represent the main difficulty for navigation during summer.Analysis of ice conditions showed the tendency towards the onset of a new climatic period - “relative warming”. This is consistent with the regional quasi-periodic 30-year alternations beetween the “relatively cold” and “relatively warm” climatic periods identified in the AARI.We have compared ice conditions of the “relatively cold” period of 1958–1987 and the “relatively warm” period of 1988–2017. Since the end of the 1980s the ice massifs began to decrease more intensively with the onset of break up some 10–20 days earlier.In general, the drift ice area during  summer has decreased by 15–20 % in the western part of the sea and by 20–30 % in eastern one. The fast decrease of close floatingice in the East Siberian Sea observed in the last decades resulted in increase of the possibilities of autonomous navigation.The latest works containing the analysis of in conditions of the East Siberian Sea belong to the 90s of last century. In these works ice conditions of the period of the 40–80s of the 20th century were considered. During this period, the background of the ice cover extent was high. As a result, the usage of the average values of ice massifs areas calculated on all observations series (since 1946), is not informative for characterizing ice conditions during separately taken periods.

scholarly journals Interannual Variability in the North Atlantic Ocean’s Temperature Field and Its Association with the Wind Stress Forcing

2017 ◽  
Vol 30 (7) ◽  
pp. 2655-2678 ◽  
Author(s):  
Andreas Groth ◽  
Yizhak Feliks ◽  
Dmitri Kondrashov ◽  
Michael Ghil
Keyword(s):  
Temperature Field ◽  
Interannual Variability ◽  
Wind Stress ◽  
North Atlantic ◽  
Gulf Stream ◽  
Singular Spectrum Analysis ◽  
Sea Surface ◽  
Atmospheric Forcing ◽  
The North ◽  
The North Atlantic

Spectral analyses of the North Atlantic temperature field in the Simple Ocean Data Analysis (SODA) reanalysis identify prominent and statistically significant interannual oscillations along the Gulf Stream front and in large regions of the North Atlantic. A 7–8-yr oscillatory mode is characterized by a basinwide southwest-to-northeast–oriented propagation pattern in the sea surface temperature (SST) field. This pattern is found to be linked to a seesaw in the meridional dipole structure of the zonal wind stress forcing (TAUX). In the subpolar gyre, the SST and TAUX fields of this mode are shown to be in phase opposition, which suggests a cooling effect of the wind stress on the upper ocean layer. Over all, this mode’s temperature field is characterized by a strong equivalent-barotropic component, as shown by covariations in SSTs and sea surface heights, and by phase-coherent behavior of temperature layers at depth with the SST field. Recent improvements of multivariate singular spectrum analysis (M-SSA) help separate spatiotemporal patterns. This methodology is developed further and applied to studying the ocean’s response to variability in the atmospheric forcing. Statistical evidence is shown to exist for other mechanisms generating oceanic variability of similar 7–8-yr periodicity in the Gulf Stream region; the latter variability is likewise characterized by a strongly equivalent-barotropic component. Two other modes of biennial variability in the Gulf Stream region are also identified, and it is shown that interannual variability in this region cannot be explained by the ocean’s response to similar variability in the atmospheric forcing alone.

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