大气河对南极冰盖及海冰的影响

南极冰盖与海冰对全球气候具有重要影响。大气河作为高纬度地区经向水汽输送的重要途径,其对南极冰盖与海冰的影响在近年来愈发受到重视。南极大气河通常形成于高压脊(阻塞高压)与温带气旋之间的强向极经向输送带内。低频的大气河活动为南极带来强降雪,有利于冰盖质量增加。然而,强暖湿水汽侵入同时会导致表面融化、冰架崩解和极端高温,对冰盖质量存在潜在负贡献。大气河携带极端暖湿水汽与强风通过热力与动力过程导致海冰密集度下降。目前,大气河的识别算法仍不完善,其对液态降水的直接影响、与南大洋的相互作用等仍不清楚,需要进一步明晰大气河对南极冰盖与海冰的影响机制,以准确预估未来大气河对南极冰盖物质平衡与海冰变化的作用。     

Large-scale numerical model of antarctic sea ice extent variations

Data on sampling long-term monthly mean distributions of Antarctic sea ice extent are analyzed for the period of 1974-2013. In the framework of propositions on the nature of variations in the components of limited-area system, the numerical model of sea ice extent dynamics was developed. It is demonstrated that in 1974-2013 the variations in monthly mean sea ice extent were defined by semiannual, annual, 30-year, and 60-year periodic components. The interpolation of the obtained results is presented. The forecast of Antarctic sea ice conditions for 2015-2135 is given.     

Some features of sea ice formation in Antarctic coastal waters

Considered are the peculiarities of fast ice formation in the Antarctic coastal waters. It is noted that the fine-crystalline ice with the chaotic orientation of crystals is mainly developed in the surface layers of the ice cover as well as the ice formed due to the infiltration of the sea water and its subsequent freezing in the lower layers of the snow cover. It is demonstrated that under the conditions of coastal Antarctic, the lamination of the structure during the period of ice cover formation and its subsequent development is the result of heavy precipitation in the form of snow and the formation of the large amount of snow sludge and crystals of intrawater ice (frazil ice) on the open water. The main distinctive feature of the Antarctic sea ice is its seasonal stratification with the formation of the surface layer of recrystallized ice and underlying destructive layers including the water interlayer in the ice column. The provision of the safety of overice movement of machinery requires the development of methods of continuous remote control of the snow-ice stratum of the fast ice.     

Dependence of NAO variability on coupling with sea ice

The variance of the North Atlantic Oscillation index (denoted N) is shown to depend on its coupling with area-averaged sea ice concentration anomalies in and around the Barents Sea (index denoted B). The observed form of this coupling is a negative feedback whereby positive N tends to produce negative B, which in turn forces negative N. The effects of this feedback in the system are examined by modifying the feedback in two modeling frameworks: a statistical vector autoregressive model (F _VAR) and an atmospheric global climate model (F _CAM) customized so that sea ice anomalies on the lower boundary are stochastic with adjustable sensitivity to the model??s evolving N. Experiments show that the variance of N decreases nearly linearly with the sensitivity of B to N, where the sensitivity is a measure of the negative feedback strength. Given that the sea ice concentration field has anomalies, the variance of N goes down as these anomalies become more sensitive to N. If the sea ice concentration anomalies are entirely absent, the variance of N is even smaller than the experiment with the most sensitive anomalies. Quantifying how the variance of N depends on the presence and sensitivity of sea ice anomalies to N has implications for the simulation of N in global climate models. In the physical system, projected changes in sea ice thickness or extent could alter the sensitivity of B to N, impacting the within-season variability and hence predictability of N.     

The effect of snow on Antarctic sea ice simulations in a coupled atmosphere-sea ice model

 The effect of a snow cover on sea ice accretion and ablation is estimated based on the ‘zero-layer’ version sea ice model of Semtner, and is examined using a coupled atmosphere-sea ice model including feedbacks and ice dynamics effects. When snow is disregarded in the coupled model the averaged Antarctic sea ice becomes thicker. When only half of the snowfall predicted by the atmospheric model is allowed to land on the ice surface sea ice gets thicker in most of the Weddell and Ross Seas but thinner in East Antarctic in winter, with the average slightly thicker. When twice as much snowfall as predicted by the atmospheric model is assumed to land on the ice surface sea ice also gets much thicker due to the large increase of snow-ice formation. These results indicate the importance of the correct simulation of the snow cover over sea ice and snow-ice formation in the Antarctic. Our results also illustrate the complex feedback effects of the snow cover in global climate models. In this study we have also tested the use of a mean value of 0.16 Wm^-1 K^-1 instead of 0.31 for the thermal conductivity of snow in the coupled model, based on the most recent observations in the eastern Antarctic and Bellingshausen and Amundsen Seas, and have found that the sea ice distribution changes greatly, with the ice becoming much thinner by about 0.2 m in the Antarctic and about 0.4 m in the Arctic on average. This implies that the magnitude of the thermal conductivity of snow is of considerable importance for the simulation of the sea ice distribution. An appropriate value of the thermal conductivity of snow is as crucial as the depth of the snow layer and the snowfall rate in a sea ice model. The coupled climate models require accurate values of the effective thermal conductivity of snow from observations for validating the simulated sea ice distribution under the present climate conditions. Received: 20 November 1997/Accepted: 27 July 1998     

On the sensitivity of Antarctic sea ice model biases to atmospheric forcing uncertainties

Climate Dynamics - Although atmospheric reanalyses are an extremely valuable tool to study the climate of polar regions, they suffer from large uncertainties in these data-poor areas. In this work,...     

Late Pleistocene variations in Antarctic sea ice I: effect of orbital insolation changes

The effect of orbitally induced insolation changes on Antarctic sea-ice cover are examined by means of a dynamic-thermodynamic seaice model. Results are compared with modified CLIMAP 18 000 B.P. sea-ice reconstructions. Calculations suggest that changes in insolation receipt had only a minor influence on Pleistocene sea-ice distributions. The small response can be explained by a number of factors: albedo effects reduce the insolation perturbation at the surface; some of the shortwave radiation entering the ocean contributes to bottom ablation rather than lateral melting; the radiation perturbation at the upper surface of the ice must go to warming the surface to the melting point before melting ensues; and, finally, the relatively high heat capacity of open water dampens the surface temperature response to altered seasonal insolation perturbations.     

Regional Arctic sea ice variations as predictor for winter climate conditions

Seasonal prediction skill of winter mid and high northern latitudes climate from sea ice variations in eight different Arctic regions is analyzed using detrended ERA-interim data and satellite sea ice data for the period 1980–2013. We find significant correlations between ice areas in both September and November and winter sea level pressure, air temperature and precipitation. The prediction skill is improved when using November sea ice conditions as predictor compared to September. This is particularly true for predicting winter NAO-like patterns and blocking situations in the Euro-Atlantic area. We find that sea ice variations in Barents Sea seem to be most important for the sign of the following winter NAO—negative after low ice—but amplitude and extension of the patterns are modulated by Greenland and Labrador Seas ice areas. November ice variability in the Greenland Sea provides the best prediction skill for central and western European temperature and ice variations in the Laptev/East Siberian Seas have the largest impact on the blocking number in the Euro-Atlantic region. Over North America, prediction skill is largest using September ice areas from the Pacific Arctic sector as predictor. Composite analyses of high and low regional autumn ice conditions reveal that the atmospheric response is not entirely linear suggesting changing predictive skill dependent on sign and amplitude of the anomaly. The results confirm the importance of realistic sea ice initial conditions for seasonal forecasts. However, correlations do seldom exceed 0.6 indicating that Arctic sea ice variations can only explain a part of winter climate variations in northern mid and high latitudes.     

Late Pleistocene variations in Antarctic sea ice II: effect of interhemispheric deep-ocean heat exchange

Variations in production rates of warm North Atlantic Deep Water (NADW) have been proposed as a mechanism for linking climate fluctuations in the northern and southern hemispheres during the Pleistocene. We have tested this hypothesis by examining the sensitivity of a thermodynamic/dynamic model for Antarctic sea ice to changes in vertical ocean heat flux and comparing the simulations with modified CLIMAP sea-ice maps for 18 000 B.P. Results suggest that changes in NADW production rates, and the consequent changes in the vertical ocean heat flux in the Antarctic, can only account for about 20%–30% of the overall variance in Antarctic sea-ice extent. This conclusion has been validated against an independent geological data set involving a time series of sea-surface temperatures from the subantarctic. The latter comparison suggests that, although the overall influence of NADW is relatively minor, the linkage may be much more significant at the 41 000-year obliquity period. Despite some limitations in the models and geological data, we conclude that NADW variations may have played only a modest role in causing late Pleistocene climate change in the high latitudes of the southern hemisphere. Our conclusion is consistent with calculations by Manabe and Broccoli (1985) suggesting that atmospheric CO₂ changes may be more important for linking the two hemispheres.     

Spatial and temporal variations of methanesulfonic acid and non sea salt sulfate in Antarctic ice

A simultaneous glaciochemical study of methanesulfonic acid (MSA) and non-sea-salt sulfate (nss-SO₄ ^-) has been conducted on the Antarctic plateau (South Pole, Vostok) and in more coastal regions. The objective was to investigate marine sulfur emissions in very remote areas. Firstly, our data suggest that MSA and nss-SO₄ present in antarctic ice are mainly marine in origin and that DMS emissions have been significantly modulated by short term (eg. El Nino Southern Oscillation events) as well as long term climatic changes in the past. Secondly, our study of spatial variations of these two sulfur species seems to indicate that the atmosphere of coastal antarctic regions are mainly supplied by local DMS emissions whereas the atmosphere of the high plateau is also influenced by DMS emissions from more temperate marine latitudes. Thirdly, our study of the partitioning between MSA and nss-SO₄ suggest that the temperature could have been an important parameter controlling the final composition of the high southern latitude atmosphere over the last climatic cycle; colder temperature favoring the formation of MSA. However, our data also support a possible role played by changes in the transport pattern of marine air to the high antarctic plateau.     

The effect of Antarctic sea ice on the Southern Hemisphere atmosphere during the southern summer

This study examines the influence of Antarctic sea ice distribution on the large scale circulation of the Southern Hemisphere using a fully coupled GCM where the sea ice submodel is replaced by a climatology of observed extremes in sea ice concentration. Three 150-year simulations were completed for maximum, minimum and average sea ice concentrations and the results for the austral summer (January?CMarch) were compared using the surface temperatures forced by the sea ice distributions as a filter for creating the composite differences. The results indicate that in the austral summer the polar cell expands (contracts) under minimum (maximum) sea ice conditions with corresponding shifts in the midlatitude Ferrell cell. We suggest that this response occurs because sea ice lies in the margin between the polar and midlatitude cells. The polarity of the Southern Hemisphere Annular (SAM) mode is also influenced such that when sea ice is at a minimum (maximum) the polarity of the SAM tends to be negative (positive).     

The role of sea ice in climatic variability: Theories and evidence 1

Abstract

The climatic role of sea ice is assessed in a survey of the recent literature. Theoretical or model‐based results are compared with existing evidence of ice‐atmosphere interactions over scales ranging from the local and regional to the hemispheric and global.

The evidence shows that sea‐ice fluctuations are meteorologically important locally, primarily through associations with air temperature. On the regional and hemispheric scales, atmospheric and sea‐ice fluctuations are correlated according to both observational evidence and model experiments. While the causal links have not been evaluated quantitatively, there is evidence that the stronger signal occurs in the response of the ice to the atmosphere. On the longer time‐scales, model experiments and qualitative arguments suggest that sea ice may play a major role in the climatic change. However, the results of large‐scale coupled model simulations contain deficiencies and must be viewed with caution pending more realistic treatments of sea‐ice dynamics, leads, ice thickness variations, and the areally‐integraled effects of the small‐scale features of sea ice.     

A numerical model for interdecadal variability of sea ice cover in the Greenland-Iceland-Norwegian Sea

 A coupled ocean-sea ice-atmosphere model is used to study interdecadal variability (∼40 years) of sea ice depth and concentration in the Greenland-Iceland-Norwegian Sea. This oceanic region is represented by a meridionally aligned channel on a β-plane with open zonal boundaries at 60 °N and 80 °N. The model consists of a one and a half layer reduced gravity ocean model, a thermodynamic/dynamic sea ice model and an energy balance model of the atmosphere. The coupled model is driven by prescribed surface wind stress, fluxes of heat, salt and ice at inflow points on the northern and southern open zonal boundaries and annual distribution of solar radiation. It is shown that the coupled model supports unforced modes of interdecadal oscillation resulting from a form of hydraulic control which regulates the total fluid volume in the oceanic active layer. The mechanism for the oscillations relies on the presence of three key features: (1) a region of intense oceanic entrainment located in the eastern part of the domain, (2) a vigorous southward flowing western boundary current, representing the East Greenland Current (EGC), which supports most of the meridional transport across the domain, and (3) a marked buoyancy contrast between the relatively salty domain interior and the much fresher western boundary region. During an oscillation excess water is pumped into the domain via entrainment, thereby creating an active layer depth anomaly, which then propagates westward via long baroclinic Rossby waves until it reaches the EGC where it is subsequently drained out of the domain across the southern open zonal boundary. As the depth anomaly traverses the basin, an anomalous geostrophic circulation is established in which cold fresh Arctic water enters the domain interior, and this eventually promotes enhanced thermodynamic sea ice growth. Consequently, the interdecadal oscillations of the coupled model are characterised by pulse periods, typically spanning 20 years, during which there is an abnormally large winter sea ice cover, separated by interpulse periods, lasting another 20 years, during which the winter sea ice extent is nearly uniform and significantly smaller than in a pulse maximum. The duration of the interpulse periods is dictated by the time it takes for the Rossby waves to traverse the basin. In addition to the interdecadal oscillation solution, the coupled ocean-sea ice-atmosphere model is found to also have a stable cyclostationary state, with no interannual variability. Stochastic forcing, in the form of randomly specified interannual anomalies of salinity (of maximum amplitude 0.1 ppt) or ice inflow (of maximum amplitude 0.1 Sv) at the northern open zonal boundary, in both cases is capable of driving the model from the cyclostationary state solution to the interdecadal variability one. Received: 16 August 1996 / Accepted: 27 July 1998