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1.
雪和海冰作为北极地区反照率最高的地表类型,可以将大部分入射辐射能量反射回天空,其表面反照率的变化对整个地表-大气辐射平衡系统和全球气候变化都会有重要影响。在2010年中国第4次北极科学考察期间用ASD光谱仪对北极太平洋扇区不同类型的海冰表面反照率进行了现场测量,观测时段为7月27日至8月23日,地理范围在72°18′-87°20′N和152°34′-178°22′W之间。观测结果表明积雪覆盖海冰的反照率最高,干雪覆盖时均值达到0.82,融化的湿雪覆盖时反照率会有一定程度地降低。夏季北极地区存在大量融池,融池海冰按颜色划分为白冰,蓝冰和灰冰,白冰的平均反照率为0.54,蓝冰的为0.31,灰冰的只有0.20,融池水的反照率只有0.16。融池是北极夏季反照率变化的重要原因。 相似文献
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利用卫星海冰密集度资料和船基海冰走航观测数据分析了2012年12月至2013年3月南极罗斯海海冰密集度、厚度和浮冰尺寸等参数的时空变化特征。12月下旬罗斯海西侧浮冰区南北向宽约1 000 km,沿雪龙船航线平均密集度在5成以上,平均海冰厚度为100 cm,平均冰上积雪厚度为16 cm,高密集度区域主要为尺寸较小的块浮冰(2—20 m)和小浮冰(20—100 m),低密集度区域主要为大尺寸浮冰(500—2 000 m)。1月和2月罗斯海大部分海域无海冰覆盖,3月海冰迅速冻结,下旬即覆盖整个罗斯海。SSMIS和AMSR2两种卫星遥感数据均能较好反映航线上的真实海冰密集度状况,AMSR2产品与观测符合更好。与1978—2012的气候平均值相比,观测区在2012年夏季冰情偏重。本文的分析结果可帮助我们了解罗斯海海冰的时空特征,为中国后续罗斯海科考提供参考。 相似文献
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基于2002—2011年南极地区AMSR-E逐日海冰密集度数据, 计算相应时间段内的海冰外缘线和海冰面积, 分析了南极地区这10年来各时间尺度上的海冰变化, 揭示了海冰变化的时空特征。结果表明: 2002— 2011年南极海冰外缘线、海冰面积分别增加了3.64%、3.8%, 总体上呈现增加的趋势, 其中2008年海冰面积最大。罗斯海、西太平洋和威德尔海的海冰面积呈现增加趋势, 而印度洋和别林斯高晋海/阿蒙森海的海冰面积则趋于减小。南极海冰面积一般夏季最小、冬季最大, 相同季节海冰面积变化波动较小, 不同海区只是变化范围不同。南极一年冰增长速度较低, 平均每年增加约0.1×106 km2, 且大范围地分布在南极大陆(除威德尔海外)周围。多年冰平均每年减少0.05×106 km2, 且多处于威德尔海。海冰面积变化与气温有负相关关系。 相似文献
4.
使用2003—2014年6—9月份的AMSR-E和AMSR-2海冰密集度数据计算了北极海冰范围, 并获得海冰空间分布图。通过分析得出, 2014年北极夏季海冰范围在数值上与2003—2013年的多年平均值很接近, 在空间分布上与多年中值范围相比主要表现为两个方面的不同：(1)2014年夏季拉普捷夫海及其以北海域海冰明显少于多年中值范围, 9月份冰区最北边界超过了85°N;(2)巴伦支海北部斯瓦尔巴群岛至法兰士约瑟夫地群岛区域海冰范围明显多于多年中值范围, 而且海冰范围在8月份不减反增, 冰区边界较7月份往南扩张了约0.8个纬度。2014年夏季在拉普捷夫海以南风为主, 而在巴伦支海以北风为主。南风将俄罗斯大陆上温暖的空气吹向高纬地区, 造成高纬地区温度偏高, 促进拉普捷夫海海冰融化, 并使海冰往北退缩。北风将北冰洋上的冷空气吹向低纬地区, 造成巴伦支海的气温偏低, 不利于海冰的融化, 同时北风使海冰往南漂移扩散, 造成巴伦支海北部海冰范围在2014年偏多。2014年北地群岛航线开通时间范围大约在8月上旬到10月上旬, 时长约两个月。新西伯利亚群岛及附近海域的开通时间稍早于北地群岛, 但关闭时间比北地群岛晚, 所以 2014年东北航道全线开通的时间主要受制于北地群岛附近海冰变化。 相似文献
5.
中纬度半干旱草原是全球陆地生态系统的重要类型之一,也是我国北方主要的地表类型,为深入了解我国半干旱草原区陆面对大气的辐射强迫,选取锡林浩特国家气候观象台2010年的辐射观测资料,分析了内蒙古半干旱草原下垫面地表辐射平衡各分量、地表吸收辐射和有效辐射以及地表反照率的日变化和季节变化规律,并与西北典型干旱区作了对比分析。结果表明：半干旱草原区太阳总辐射季节变化特征非常明显,季节平均日积分值由大到小依次为夏季、春季、秋季、冬季,年总量为6 036.64 MJ/m2,与黑河地区绿洲接近,明显小于戈壁和沙漠下垫面的值;半干旱草原地表反射辐射年变化趋势较为复杂,在4～10月由于下垫面植被和土壤类型、湿度等的差异,半干旱草原地表反射辐射月平均值低于黑河地区草地和荒漠的值,但高于农田的值;地表吸收辐射季节变化规律与总辐射保持一致;大气长波辐射年总量为8 155.23 MJ/m2,低于黑河地区草地、荒漠和农田下垫面的值,主要是由于半干旱草原区地理纬度较高,全年平均气温较低造成的;在植被覆盖较好的6～9月,半干旱草原区地表长波辐射月总量为4 532.14 MJ/m2,低于黑河流域的荒漠区,而高于草地和农田的值;半干旱草原区地表有效辐射年总量为2 398.75 MJ/m2,小于黑河地区沙漠和戈壁下垫面而大于绿洲;半干旱草原区地表反照率年均值为0.35,均大于西北干旱区不同下垫面,主要由于半干旱草原区冬春季地表积雪覆盖时间明显长于干旱区,可见,地表积雪对反照率的影响非常大。 相似文献
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北极近年迅速变暖使西北航道的通航成为可能。本文利用AMSR-E的6.25km分辨率日平均海冰密集度卫星数据研究了2002-2008年北极西北航道的海冰密集度变化特征。通过统计分析沿西北航线冰障关键流段代表站点的融化期、轻冰期、无冰期、无冰天数和轻冰天数,以及海冰分布和变化的某些细节,加深了对西北航道海冰季节变化和年际变化以及空间分布的主要特征,特别是与通航相关的冰情信息的了解。研究指出西北航道南路比北路容易开通;各线路冰障流段存在的时间呈减小趋势,整条线路无冰/轻冰天数呈增加趋势;冰间湖和冰间水道的产生和发展在很大程度上可能会影响到整个航路的融冰开始时间。 相似文献
7.
利用美国冰雪中心发布的海冰密集度数据,对1979—2012年北极海冰范围进行年际和年代际变化分析。结果表明:(1)海冰在秋季融化速度最快,其次为夏季、冬季、春季。2000年后春季下降速率变缓,而其他季节融化速度加快;(2)由于多年冰的融化,太平洋扇区在夏秋季节融化速度要高于其他海区。而大西洋扇区在冬季和春季海冰的融化速度要快于夏秋季节,主要是因为大西洋海温升高;(3)东半球在夏秋季节海冰融化的范围要大于西半球,因此东北航道比西北航道提前开通应用。而整个北极区域近几年春季融化速度变缓,则主要是西半球的作用;(4)从空间分布年代际变化来看,1989—1998年最接近气候态,1979—1988年密集度偏大区域主要在巴伦支海和东西伯利亚海,2009—2012年海冰密集度较常年显著偏小,东半球密集度减小幅度比西半球更大,尤其是冬春季在巴伦支海,夏秋季在楚科奇海。春季时由于风的作用,白令海附近海冰密集度异常偏大;(5)北极区域海冰范围在冬春季比夏秋季突变明显,基本在2003年前后,海冰范围变化周期为6年。 相似文献
8.
中国第3次北极科学考察期间首次开展了浮冰-水道热力平衡的现场观测。观测结果表明,观测期间气温低于0°C,调查区域正从消融期向生长期过渡,至8月23日水道逐渐封冻。之后表面薄冰的反照率为0.46(±0.03),水道内水温垂向梯度逐渐减小,水道内和冰底的水温逐渐下降。至8月底,浮冰底部的生消达到平衡;侧部仍处于融冰期,对应的平均融解潜热通量为19(±6) W/m2;对观测区的海冰而言,至8月下旬,相对于底部和表面的生消,侧部融化对其物质平衡贡献较大。 相似文献
9.
１９９２年３－５月极星号ＡＮＴ／Ｘ３秋季航次，对南极威德尔海东北海域浮冰区形成期新冰生态结构进行考察研究。结果表明，海冰物理结构特征与海冰生成环境及其形成过程有很大关系。冰体结构以颗粒冰、柱状冰以及混合冰为主，以颗粒冰为主结构的海冰较多地聚集浮游生物细胞，消耗部分冰中营养盐，柱状冰较少聚集生物细胞，其营养盐波动较小。同时，新形成期海冰中，叶绿素含量普遍低于一年冰，而营养盐含量则较高，基本处于初始状态，由此表明，海冰中生命活动随海冰冰龄增加而不断增强。 相似文献
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11.
极地海冰是全球气候系统的重要组成部分,具有一定的季节和年际变化,它对极地科学考察有着重要影响。本文利用MODIS L1B级数据,经监督分类提取冰雪二值图并计算海冰面积,分析2000—2014年中山站附近地区的海冰的季节性和年际变化;结合Landsat影像及雪龙船航迹数据,分析2007—2012年雪龙船到达中山站的航迹特点,为极地科学考察提供参考。研究结果表明,2000—2014年中山站附近地区海冰年际变化规律大体一致,且在每年8月至次年3月有明显的季节性变化规律——海冰面积在9月底10月初达到最大值,在2月中下旬达到最小值;雪龙船到达中山站时间为该地区海冰融化的初期,其航迹特点与海冰分布密切相关。 相似文献
12.
Physical properties, spectral reflectance and thickness development of first year fast ice in Kongsfjorden, Svalbard 总被引：2，自引：0，他引：2
Sebastian Gerland Jan-Gunnar Winther Jon Børre Ørbæk Boris V. Ivanov 《Polar research》1999,18(2):275-282
A ground truth study was performed on first year fast ice in Kongsfjorden, Svalbard, during spring 1997 and 1998. The survey included sea ice thickness monitoring as well as observation of surface albedo, attenuation of optical radiation in the ice, physical properties and texture of snow and sea ice. The average total sea ice thickness in May was about 0.9 m, including a 0.2 m thick snow layer on top. Within a few weeks in both years, the snow melted almost completely, whereas the ice thickness decreased by not more than 0.05 m. During spring, the lower part of the snow refroze into a solid layer. The sea ice became more porous. Temperatures in the sea ice increased and the measurable salinity of the sea ice decreased with time. Due to snow cover thinning and snow grain growth, maximum surface albedo decreased from 0.96 to 0.74. Texture analysis on cores showed columnar ice with large crystals (max. crystal lenght > 0.1 m) below a 0.11 m thick mixed surface layer of granular ice with smaller crystals. In both years, we observed sea ice algae at the bottom part of the ice. This layer has a significant effect on the radiation transmissivity. 相似文献
13.
Snow and sea ice thermodynamics in the Arctic:Model validation and sensitivity study against SHEBA data 
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下载免费PDF全文 Timo Vihma 《极地研究》2008,19(2):108-122
Evolution of the Arctic sea ice and its snow cover during the SHEBA year were simulated by applying a high-resolution thermodynamic snow/ice model (HIGHTSI).Attention was paid to the impact of albedo on snow and sea ice mass balance,effect of snow on total ice mass balance,and the model vertical resolution. The SHEBA annual simulation was made applying the best possible external forcing data set created by the Sea Ice Model Intercomparison Project.The HIGHTSI control run reasonably reproduced the observed snow and ice thickness.A number of albedo schemes were incorporated into HIGHTSI to study the feedback processes between the albedo and snow and ice thickness.The snow thickness turned out to be an essential variable in the albedo parameterization.Albedo schemes dependent on the surface temperature were liable to excessive positive feedback effects generated by errors in the modelled surface temperature.The superimposed ice formation should be taken into account for the annual Arctic sea ice mass balance. 相似文献
14.
南极海冰区是影响全球气候 -环境变化的关键区域之一 ,卫星遥感资料是获取大区域海冰地球物理特征参数的最有效的手段。但是 ,在南半球晚冬-初春期间 ,卫星遥感反演的海冰资料的误差较大 ,精度较低。 2 0 0 3年 9- 1 0月 ,由澳大利亚南极局组织 ,包括中国等 7个国家 ,1 4个研究单位的科学家参加 ,以澳大利亚破冰船“南极光号”为现场工作平台 ,在东南极季节海冰带 ,通过与美国宇航局 (NASA)、日本宇宙开发促进会合作开展的卫星、飞机、船、冰站立体联合观测 ;对AMSR E等卫星遥感产生的海冰地球物理参数 (海冰密集度、雪盖厚度、海冰物理温度等 )进行地面详细验证 ,建立遥感数据与地面实测数据的统计关系 ,以发现各种卫星资料反演算式的使用范围和局限性 ,为改进卫星资料反演算式提供依据。 相似文献
15.
北半球积雪/海冰面积与温度相关性的差异分析 总被引：1，自引：1，他引：0
积雪和海冰的时空变化对区域以及全球的气候、水文具有重要影响。基于雪冰数据和NCEP再分析气温数据,利用MK检验、滞后分析等方法,分析了积雪、海冰的时空变化特征及其与温度的相关特征。结果表明：1979-2013年,北半球积雪区、北极圈的年均温度呈显著上升的趋势,而积雪面积和海冰面积呈显著下降的趋势。在大部分地区,积雪覆盖频率随着温度的上升呈显著减少的趋势,但在中国长江中下游、青藏高原等局部地区,积雪覆盖频率随着温度的上升呈显著增加趋势。在大部分的近陆地海域,海冰覆盖频率随着温度的上升呈显著下降趋势。超前时间1~2个月的温度与海冰面积的负相关性最高。超前1~4个月的温度与积雪面积的负相关性最高。温度对海冰的影响时间比对积雪的影响时间长1~2个月。温度变化对海冰和积雪的影响存在一致性,但积雪和海冰对温度的响应时间存在差异,具有空间变异性。 相似文献
16.
Ben W. Brock 《Geografiska Annaler: Series A, Physical Geography》2004,86(1):53-65
Abstract An analysis of ten‐minute albedo variations, recorded on Haut Glacier d'Arolla, Switzerland, over an 11 day period in the 1999 ablation season is presented. Most of the short‐term (<1 day) albedo variability is caused by variations in cloud cover, while solar zenith angle variations in the range 25° to 75° are of minor importance, probably due to the predominantly cloudy conditions during the measurement period. A new method to calculate albedo variation as a function of cloud cover is developed. Short‐term albedo variations are expressed by the ratio of the measured albedo to the daily albedo ‘minimum’, defined as the albedo under cloud‐free conditions when the solar zenith angle is <50°. Variations in cloud cover are quantified by the ratio of the measured incoming shortwave radiation flux to the theoretical direct‐beam shortwave radiation flux. The resulting relationships are successful, explaining 83% and 87–90% of short‐term albedo variation on snow and ice respectively, and may be incorporated into albedo parameterizations already used in numerical energy balance melt models, without the need for additional data. Simulations with a glacier energy balance model suggest that melt rates are overestimated by between 1 and 3 mm water equivalent per day if a correction is not made for the increase in albedo under cloudy conditions. Other causes of albedo variation are identified and evidence is found for the removal of fine debris from the glacier surface by intense rainfall, leading to an albedo increase. The implications for energy balance models and satellite‐derived albedo measurements are discussed. 相似文献
17.
As an important part of global climate system,the Polar sea ice is ef fecting on global climate changes through ocean surface radiation balance,mass balance,energy balance as well as the circulating of sea water temperature and salinity.Sea ice research has a centuries-old history.The many correlative sea ice projects were established through the extensive international cooperation d uring the period from the primary research of intensity and the bearing capacity of sea ice to the development of sea/ice/air coupled model.Based on these rese arches,the sea ice variety was combined with the global climate change.All res earch about sea ice includes:the physical properties and processes of sea ice a nd its snow cover,the ecosystem of sea ice regions,sea ice and upper snow albe do,mass balance of sea ice regions,sea ice and climate coupled model.The simu lation suggests that the both of the area and volume of polar sea ice would be r educed in next century.With the developing of the sea ice research,more scient ific issues are mentioned.Such as the interaction between sea ice and the other factors of global climate system,the seasonal and regional distribution of pol ar sea ice thickness,polar sea ice boundary and area variety trends,the growth and melt as well as their influencing factors,the role of the polynya and the sea/air interactions.We should give the best solutions to all of the issues in future sea ice studying. 相似文献
18.
Based on the field data acquired in the program of fast ice observation off Zhongshan Station,Prydz Bay,East Antarctica during the austral summer 2005/ 2006,physical properties evolution of fast ice during the ice ablation season is ana- lyzed in detail.Results show that the annual maximum ice thickness in 2005 occurred in later November,and then ice started to melt,and the ablation duration was 62 days;sea water under the ice became warmer synchronously;corresponding to the warming sea ice temperature,a"relative cold mid-layer"appeared in sea ice;the fast ice marginal line recoiled back to the shore observably,and the recoil distance was 20.9 km from 18 December 2005 through 14 January 2006.In addition,based on the data of sea ice thickness survey along the investigation course of MV Xuelong on December 18 of 2005,the ice thickness distribution paten in the marginal ice zone have been described:sea ice thickness increased,but the diversity of floe ice thick- ness decreased from open water to fast ice zone distinctly. 相似文献
19.
Ruggero Casacchia Francesca Lauta Rosamaria Salvatori Anselmo Cagnati Mauro Valt Jon B. Ørbæk 《Polar research》2001,20(1):13-22
This paper examines the relationship between reflectance and physical characteristics of the snow cover in the Arctic. Field data were acquired for different snow and ice surfaces during a survey carried out at Ny-Ålesund, Svalbard, in spring 1998. In each measurement reflectance in the spectral range 350 - 2500 nm, snow data (including temperature, grain size and shape, density and water content), surface layer morphology, and vertical profile of the snow pack were recorded detailed analysis of reflectance based on the physical was performed. Field reflectance data were also re-sampled at the spectral intervals of Landsat TM to compare the ability of identifying different snow targets at discrete wavelength intervals. This analysis shows that reliable data on snow structure and thickness are necessary to understand albedo changes of the snow surfaces. 相似文献