北极海冰变化的时间和空间型

利用 4 4a(195 1～ 1994年 )北极海冰密度逐月资料 ,分析提出了一种与北极冰自然季节变化相吻合的分季法 ,并根据这种分季法 ,使用EOF分解 ,揭示了北极各季海冰面积异常的特征空间型及其对应的时间变化尺度。结果表明 :(1)北极冰面积异常变化的关键区 ,冬季 (2～ 4月 )主要位于北大西洋一侧的格陵兰海、巴伦支海和戴维斯海峡以及北太平洋一侧的鄂霍次克海和白令海 ,夏季 (8～ 10月 )则主要限于从喀拉海、东西伯利亚海、楚科奇海到波佛特海的纬向带状区域内 ,格陵兰海和巴伦支海是北极海冰面积异常变化的最重要区域 ;(2 )春 (5～ 7月 )、秋 (11月～次年 1月 )季各主要海区海冰面积异常基本呈同相变化 ,夏季东西伯利亚海、楚科奇海、波佛特海一带海冰面积异常和喀拉海呈反相变化 ,而冬季巴伦支海、格陵兰海海冰面积异常和戴维斯海峡、拉布拉多海、白令海、鄂霍次克海的海冰变化呈反相变化 ;(3)北极冰总面积过去 4 4a来确实经历了一种趋势性的减少 ,并且叠加在这种趋势变化之上的是年代尺度变化 ,其中春季 (5～ 7月 )海冰面积异常变化对年平均北极冰总面积异常变化作出了主要贡献 ;(4)位于北太平洋一侧极冰面积异常型基本具有半年的持续性 ,而位于北大西洋一侧极冰面积异常型具有半年至一年的持续性     

冬春季节北极海冰的年际和年代际变化

利用1953～1990年海冰密集度资料,研究了冬、春季节北极海冰的时空变化特征.结果表明:冬,春季节海冰变率大的海区主要有巴伦支海、格陵兰海、巴芬湾、戴维斯海峡以及白令海;在巴芬湾、戴维斯海峡和白令海海区,冬季海冰变率比春季的大;冬、春季节喀拉海、巴伦支海海冰面积均与春季白令海海冰面积呈反向变化关系,与巴芬湾、戴维斯海峡海冰面积也存在相反的变化趋势.分析还表明:北极海冰面积还表现出年代际时间尺度变化,尤其在冬季.春季格陵兰海海冰明显存在12年变化周期,而在冬、春季节,喀拉海、巴伦支海海冰存在l0年变化周期.     

北极海冰年际变化对东亚中纬度夏季陆面热力异常的指示作用及其可能原因

本文分析了夏季东亚中纬度近地面温度和春、夏北极海冰时空变化特征,探讨了格陵兰海、巴伦支海海冰异常变化与夏季东亚中纬度陆面热力异常在年际上的可能联系。结果表明:(1)1950—2014年,东亚中纬度夏季近地面温度明显增暖,并伴有明显的年际变化,年际变率最大值的区域主要位于40°N以北至贝加尔湖地区;春、夏格陵兰海和巴伦支海的海冰也呈现明显的减少趋势,同时表现出较强的年际变化特征。(2)春、夏格陵兰海、巴伦支海海冰异常对东亚中纬度夏季陆面热力异常具有一定的指示作用:春、夏格陵兰海、巴伦支海海冰异常偏多,通常对应夏季东亚中纬度近地面的东亚中纬度夏季增暖现象;反之亦然。(3)春、季格陵兰海、巴伦支海北极海冰指数(Arctic Sea Ice Index,ASII)高值年(海冰异常偏多年份),贝加尔湖及西南的蒙古高原地区通常为大范围的异常高压控制,有利于近地面温度升高;同时由于乌拉尔山阻塞高压减弱,极地南下的冷空气减弱,有利于东亚中纬度区域的温度升高。而ASII低值年的情形则相反,贝加尔湖以南地区受异常低压控制,乌拉尔山阻塞高压增强,冷空气易向南侵袭,不利于东亚中纬度近地面升温。     

北极海冰变化对新疆冬季气温的影响研究

利用1961年12月—2022年2月新疆冬季气温、北极海冰等资料，探讨北极海冰变化影响新疆冬季气温的物理模态、影响机制。结果表明，北极海冰的变化与新疆大部冬季气温呈正相关，北极海冰变化通过改变北半球大气高低空配置进而影响新疆冬季气温。另外，不同海区的海冰变化对新疆冬季气温的影响有显著区别：格陵兰海—丹麦海峡、拉普捷夫海—东西伯利亚海海冰异常偏多时，新疆大部冬季气温偏高。巴伦支海—喀拉海、鄂霍次克海—白令海峡、哈德孙湾—戴维斯海峡海冰异常偏多时，新疆大部冬季气温偏低。     

冬季北极海冰与中国同期气温的关系

采用Hadley中心的海冰密集度资料和中国160站气温资料,对冬季北极海冰变化的主要模态进行了分析,定义了5个关键海区,重点讨论了冬季北极海冰异常与中国冬季气温的关系.结果表明,冬季北极海冰变化主要表现为第一模态,即太平洋、大西洋的海冰反位相分布.海冰变化的关键区域为区域Ⅰ巴伦支海、区域Ⅱ格陵兰海、区域Ⅲ戴维斯海峡、区...     

冬季北极海冰与中国同期气温的关系

采用Hadley中心的海冰密集度资料和中国160站气温资料,对冬季北极海冰变化的主要模态进行了分析,定义了5个关键海区,重点讨论了冬季北极海冰异常与中国冬季气温的关系。结果表明,冬季北极海冰变化主要表现为第一模态,即太平洋、大西洋的海冰反位相分布。海冰变化的关键区域为区域Ⅰ巴伦支海、区域Ⅱ格陵兰海、区域Ⅲ戴维斯海峡、区域Ⅳ白令海以及区域Ⅴ鄂霍次克海。中国冬季平均气温、冬季最低气温、冬季最高气温均与北极关键海区的海冰异常有显著相关,但是与其对应的海区有所不同。     

北极海冰和北半球500hPa极涡的相互关系

利用NCEP/NCAR 2.5°×2.5°的500 hPa高度场月平均再分析资料和1°×1°的海冰资料分别计算了北半球500 hPa极涡面积、极涡强度指数和北极海冰面积指数,分析了它们的经向分布、周期变化以及长期变化趋势中的突变。结果表明,海冰和极涡在经向分布上有明显差异,就东西半球而言它们的相对位置也不一样。除了都具有4个月、准半年、准1 a、4~5 a和10 a的共同周期外,还呈现出各自的周期变化。北极海冰面积自20世纪80年代以来呈明显减小趋势,北半球极涡面积也呈减小趋势,但是它们发生突变的时间却完全不同。海冰与极涡面积有显著的正相关关系,但海冰和极涡强度、极涡面积和极涡强度之间的关系却纷繁复杂。     

北极海冰减少及其与相关气象场的联系

利用 195 3— 1998年北极海冰资料及相应的海平面气压场和我国东北 4 2°N以北 2 2个台站气温资料 ,应用统计分析方法 ,研究海冰和气象场的年际和年代际变化以及它们的联系。得到如下结论 :(1)高纬各纬度带和主要海域的海冰范围都呈现明显的衰减现象 ,6 0°N以北纬带趋势项的方差贡献超过总方差一半 ,远远大于周期项的方差贡献 ,此海域更明显显示近年海冰减少的现象。 (2 )巴伦支海和格陵兰海 ,海冰的年代际变化具有明显的 10年以上的周期变化特点 ,也存在明显的减少趋势 ;而拉布拉多海和白令海海冰主要是 10年以上的周期变化。 (3)自 90年代开始 ,海冰均发生陡然减少的现象 ,对全球气候变暖现象 ,海冰的变化是十分敏感的。 (4) 4 0°N以北的各纬度带的海平面气压的总体趋势是下降的 ,北冰洋涛动指数明显显示海平面气压场的减少趋势和 90年代前后的显著性差异。 (5 )与海平面气压的下降相对应 ,我国东北的温度是明显上升的。 (6 )北冰洋涛动能制约巴伦支海、格陵兰海和拉布拉多海域的海冰范围 ,也与我国东北温度有十分密切的联系。当AO指数偏大时 ,即冬季冰岛附近海平面气压偏低时 ,巴伦支海和格陵兰海海冰范围缩小 ,而拉布拉多海海冰范围扩大 ;我国东北冬半年的温度出现明显上升。     

欧亚大陆冬季地表温度南北反相变化的年代际特征及机理

对欧亚大陆冬季地表温度南北反相的时空分布特征及机理的分析结果表明,欧亚大陆冬季地表温度约以55°N为界存在南北反相变化特征。1961~2015年欧亚大陆冬季地表温度变化具有显著的年际和年代际变化特征;年代际尺度上,北半球行星波"冬三"分布型变化与欧亚大陆地表温度南北反相变化密切联系。冬季欧亚地表温度南北反相变化存在明显的季节内转变。滤除年代际信号和全球变暖趋势后,欧亚大陆冬季地表温度与秋季北极海冰面积之间存在显著相关;北极海冰面积减小是欧亚、尤其中亚地区冬季地表温度降低的主要外强迫因素之一;同期北大西洋"三极子"和欧亚大陆冬季地表温度南北反相变化在年际尺度上存在显著相关。     

宁夏春季沙尘暴与北极海冰之间的遥相关关系

根据宁夏沙尘暴发生次数资料、北极海冰密集度资料和NCEP／NCAR再分析500hPa、850hPa高度场、风场资料，得出了宁夏春季沙尘暴发生次数的变化规律及其与北极海冰面积之间的年代际和年际相关关系，发现宁夏春季沙尘暴发生次数与欧亚大陆北部的喀拉海、巴伦支海和格陵兰海冰面积之间存在较显著的年代际、年际相关关系。通过合成和相关分析知，宁夏春季沙尘暴偏多、偏少状况有明显不同的环流背景场，秋季格陵兰海冰异常变化通过影响其后一段时间的大气环流背景场，从而对宁夏沙尘暴产生影响。初步得出当格陵兰海秋季海冰面积增大(减小)，次年春季蒙古至西伯利亚一带500hPa、850hPa高压场降低(升高)，风场有明显的气旋性(反气旋性)特点，在宁夏至新疆一带西风明显偏强(偏弱)，说明冷空气活动次数偏多(少)，对应宁夏春季沙尘暴发生次数偏多(少)。通过海冰将全球气候变暖和宁夏(我国北方)沙尘暴总减少趋势联系起来，初次提出在环境总体恶化情况下，我国沙尘暴发生次数总体趋于减少，很可能是全球气候变暖所致。     

On the origin and evolution of sea-ice anomalies in the Beaufort-Chukchi Sea

 The origin and space-time evolution of Beaufort-Chukchi Sea ice anomalies are studied using data and a recently developed dynamic-thermodynamic sea-ice model. First, the relative importance of anomalies of river runoff, atmospheric temperature and wind in creating anomalous sea-ice conditions in the Beaufort-Chukchi Sea is investigated. The results indicate that wind anomalies are the dominant factor responsible for creating interannual variability in the Beaufort-Chukchi Sea ice cover. Temperature anomalies appear to play a major role for longer time scale fluctuations, whereas the effects of runoff anomalies are small. The sea-ice model is then used to track the position of a positive sea-ice anomaly as it is transported by the Beaufort Gyre toward the Transpolar Drift Stream and then exported out of the Arctic Basin into the Greenland Sea via Fram Strait. The model integration shows that sea-ice anomalies originating in the western Beaufort Sea can survive a few seasonal cycles as they propogate through the Arctic Basin and can account for a notable amount of anomalous ice export into the Greenland Sea. These anomalies, however, represent a small contribution to the fresh water budget in this area when compared with sea-ice fluctuations generated by interannually varying local winds. Received: 1 May 1997/Accepted: 22 October 1997     

Arctic Sea‐Ice extent and anomalies, 1953–1984

Abstract

A study is presented of the seasonal and interannual variability of Arctic sea‐ice extent over the 32‐year period 1953–84. The data set used consists of monthly sea‐ice concentration values given on a 1°‐latitude grid and represents a 7‐year extension of the 25‐year data set analysed by Walsh and Johnson (1979). By focussing attention on the variability in seven distinct subregions that circumscribe the polar region, a number of interesting spatial patterns emerge in the regional seasonal cycles and anomalies of ice coverage. For example, the time‐scale of the smoothed anomaly fluctuations varies from a 4–6 year cycle in the western Arctic (e.g. the Beaufort Sea) to a decadal one in the eastern Arctic (e.g. the Barents Sea). Also, in agreement with earlier studies, a significant out‐of‐phase relationship was found between the 25‐month smoothed anomalies in the Beaufort and Chukchi Sea region and the Greenland Sea. It is proposed that this behaviour is related to atmospheric pressure anomalies associated with the see‐saw in winter air temperature between northern Europe and western Greenland. Finally, a particularly large 9‐year ice anomaly in the Greenland Sea that was centred on 1968 appears to have evolved into a substantial 4‐year Labrador Sea anomaly that peaked in 1972. Both of these anomalies coincided with the passage of the “ Great Salinity Anomaly”, which traversed cyclonically around the subpolar gyre in the northern North Atlantic during the period 1968–82.     

Teleconnection between Sea Ice in the Barents Sea in June and the Silk Road,Pacific–Japan and East Asian Rainfall Patterns in August

In contrast to previous studies that have tended to focus on the influence of the total Arctic sea-ice cover on the East Asian summer tripole rainfall pattern, the present study identifies the Barents Sea as the key region where the June sea-ice variability exerts the most significant impacts on the East Asian August tripole rainfall pattern, and explores the teleconnection mechanisms involved. The results reveal that a reduction in June sea ice excites anomalous upward air motion due to strong near-surface thermal forcing, which further triggers a meridional overturning wave-like pattern extending to midlatitudes.Anomalous downward motion therefore forms over the Caspian Sea, which in turn induces zonally oriented overturning circulation along the subtropical jet stream, exhibiting the east–west Rossby wave train known as the Silk Road pattern. It is suggested that the Bonin high, a subtropical anticyclone predominant near South Korea, shows a significant anomaly due to the eastward extension of the Silk Road pattern to East Asia. As a possible descending branch of the Hadley cell, the Bonin high anomaly ultimately triggers a meridional overturning, establishing the Pacific–Japan pattern. This in turn induces an anomalous anticyclone and cyclone pair over East Asia, and a tripole vertical convection anomaly meridionally oriented over East Asia. Consequently, a tripole rainfall anomaly pattern is observed over East Asia. Results from numerical experiments using version 5 of the Community Atmosphere Model support the interpretation of this chain of events.     

Sea-ice anomalies observed in the Greenland and Labrador seas during 1901–1984 and their relation to an interdecadal Arctic climate cycle

Two independent ice data sets from the Greenland and Labrador Seas have been analyzed for the purpose of characterizing interannual and decadal time scale sea-ice extent anomalies during this century. Sea-ice concentration data for the 1953–1984 period revealed the presence of a large positive anomaly in the Greenland Sea during the 1960s which coincided with the great salinity anomaly, an upper-ocean low-salinity water mass that was observed to travel cyclonically around the northern North Atlantic during 1968–1982. This ice anomaly as well as several smaller ones propagated into the Labrador Sea and then across to the Labrador and east Newfoundland coast, over a period of 3 to 5 years. A complex empirical orthogonal function analysis of the same data also confirmed this propagation phenomenon. An inverse relation between sea-ice and salinity anomalies in the Greenland-Labrador Sea region was also generally found. An analysis of spring and summer ice-limit data obtained from Danish Meteorological Institute charts for the period 1901–1956 indicated the presence of heavy ice conditions (i.e., positive ice anomalies) in the Greenland Sea during 1902–1920 and in the late 1940s, and generally negative ice anomalies during the 1920s and 1930s. Only limited evidence of the propagation of Greenland Sea ice anomalies into the Labrador Sea was observed, however, probably because the data were from the ice-melt seasons. On the other hand, several large ice anomalies in the Greenland Sea occurred 2–3 years after large runoffs (in the early 1930s and the late 1940s) from northern Canada into the western Arctic Ocean. Similarly, a large runoff into the Arctic during 1964–1966 preceded the large Greenland Sea ice anomaly of the 1960s. These facts, together with recent evidence of climatic jumps in the Northern Hemisphere tropospheric circulation, suggest the existence of an interdecadal self-sustained climate cycle in the Arctic. In the Greenland Sea, this cycle is characterized by a state of large sea-ice extent overlying an upper layer of cool, relatively fresh water that does not convectively overturn, which alternates every 10–15 years with a state of small sea-ice extent and relatively warm saline surface water that frequently overturns.Dedicated to Robert W. Stewart on the occasion of his retirement     

Impact of a projected future Arctic Sea Ice reduction on extratropical storminess and the NAO

The impact of a reduced Arctic sea ice cover on wintertime extratropical storminess is investigated by conducting atmospheric general circulation model (AGCM) experiments. The AGCM ECHAM5 is forced by the present and a projected future seasonal cycle of Arctic sea ice. In the experiment with projected sea-ice concentrations significant reductions in storminess were found during December and January in both midlatitudes and towards the Arctic. However, a substantially larger reduction in extratropical storminess was found in March, despite a smaller change in surface energy fluxes in March than in the other winter months. The projected decrease in storminess is also related to the negative phase of the North Atlantic Oscillation (NAO). The March response is consistent with a forcing from transient and quasi-stationary eddies associated with negative NAO events. The greater sensitivity to sea-ice anomalies in late winter sets this study apart from earlier ones.     

Numerical Simulation of Atmosphere-Ocean-Sea Ice Interaction During Interannual Cycle in High Northern Latitudes

The interannual atmosphere-ocean-sea ice interaction （AOSI） in high northern latitudes is studied with a global atmosphere-ocean-sea ice coupled model system, in which the model components of atmosphere and land surface are from China National Climate Center and that of ocean and sea ice are from LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences. A daily flux anomaly correction scheme is employed to couple the atmosphere model and the ocean model with the effect of inhomogenity of sea ice in high latitudes is considered. The coupled model system has been run for 50 yr and the results of the last 30 years are analyzed. After the sea level pressure （SLP）, surface air temperature （SAT）, sea surface temperature （SST）, sea ice concentration （SIC）, and sea surface sensible heat flux （SHF） are filtered with a digital filter firstly, their normalized anomalies are used to perform the decomposition of combined complex empirical orthogonal function （CCEOF） and then they are reconstructed with the leading mode. The atmosphere-ocean-sea ice interactions in high northern latitudes during a periodical cycle （approximately 4 yr） are analyzed. It is shown that： （1） When the North Atlantic Oscillation （NAO） is in its positive phase, the southerly anomaly appears in the Greenland Sea, SAT increases, the sea loses less SHF, SST increases and SIC decreases accordingly; when the NAO is in its negative phase, the northerly anomaly appears in the Greenland Sea, SAT decreases, the sea loses more SHF, SST decreases and SIC increases accordingly. There are similar features in the Barents Sea, but the phase of evolution in the Barents Sea is different from that in the Greenland Sea. （2） For an average of multi-years, there is a cold center in the inner part of the Arctic Ocean near the North Pole. When there is an anomaly of low pressure, which is closer to the Pacific Ocean, in the inner part of the Arctic Ocean, anomalies of warm advection appear in the region near the Pacif     

Relationship Between Arctic Sea Ice Thickness Distribution and Climate of China

Based on the simulated ice thickness data from 1949 to 1999, monthly mean temperature data from 160 stations, and monthly mean 1°×1° precipitation data reconstructed from 749 stations in China from 1951 to 2000, the relationship between the Arctic sea ice thickness distribution and the climate of China is analyzed by using the singular value decomposition method. Climate patterns of temperature and precipitation are obtained through the rotated empirical orthogonal function analysis. The results are as follows. (1) Sea ice in Arctic Ocean has a decreasing trend as a whole, and varies with two major periods of 12-14 and 16-20 yr, respectively. (2) When sea ice is thicker in central Arctic Ocean and Beaufort-Chukchi Seas, thinner in Barents-Kara Seas and Baffin Bay-Labrador Sea, precipitation is less in southern China, Tibetan Plateau, and the north part of northeastern China than normal, and vice versa. (3) When sea ice is thinner in the whole Arctic seas, precipitation is less over the middle and lower reaches of Yellow River and north part of northeastern China, more in Tibetan Plateau and south part of northeastern China than normal, and the reverse is also true. (4) When sea ice is thinner in central Arctic Ocean, East Siberian Sea, Beaufort-Chukchi Seas, and Greenland Sea; and thicker in Baffin Bay-Labrador Sea, air temperature is higher in northeastern China, southern Tibetan Plateau, and Hainan Island than normal. (5) When sea ice is thicker in East Siberian Sea 5 months earlier, thinner in Baffin Bay-Labrador Sea 7-15 months earlier, air temperature is lower over the north of Tibetan Plateau and higher in the north part of northwestern China than normal, and a reverse correlation also exists.