基于GRACE/GRACE-FO和Swarm卫星研究2002—2020年南极和格陵兰岛冰盖质量时空变化

两极冰盖消融及其质量变化作为全球气候变化的重要指标之一,一直是联合国政府间专门气候委员会IPCC(Intergovernmental Panel on Climate Change)报告的重点关注内容.GRACE(Gravity Recovery and Climate Experiment,2002年4月—2017年6月)和GRACE-FO(GRACE Follow-on,2018年5月至今)重力卫星,作为监测两极冰盖质量变化最直接和有效的手段,存在近一年的观测间断期.因此本文提出联合Swarm三颗低轨卫星观测资料(2015年1月—2019年6月)和ARIMA-MC(Autoregressive Integrated Moving Average Model-Monte Carlo)预测方法来填补两组重力卫星间断期两极冰盖消融质量变化观测的时间序列,从而基于完整时间序列来研究两极冰盖质量时空变化规律.研究结果表明：(1)利用Swarm卫星反演得到的时变重力场信号和ARIMA-MC预测方法可以有效填补间断期两极冰盖消融质量变化的时间序列,但两种方法得到的结果也存在一定的差异;(2)在2002年4月—2020年3月期间,GRACE/GRACE-FO探测到南极和格陵兰岛冰盖质量变化速率分别为-119±23 Gt·a^-1和-259±20 Gt·a^-1,等效于全球平均海平面每年约上升0.33 mm和0.72 mm;(3)南极威尔克斯地区在2010—2020年期间的冰盖融化速率较2002—2009年期间增加了10倍,Swarm结果也证实了该地区近年来的加速消融;(4)2019年夏季格陵兰岛冰盖明显的加速消融与夏季北大西洋涛动有关.

     

Present Day Regional Mass Loss of Greenland Observed with Satellite Gravimetry

This paper summarizes results obtained for Greenland??s mass balance observed with NASA??s GRACE mission. We estimate a Greenland ice sheet mass loss at ?201 ± 19 Gt/year including a discernible acceleration of ?8 ± 7 Gt/year² between March 2003 and February 2010. The mass loss of glacier systems on the South East of Greenland has slowed down while the mass loss increases toward the North along the West side of Greenland. The mass balance can be compared with results obtained by a regional climate model of the Greenland system and ice sheet altimeter data obtained from NASA??s ICEsat mission. Our GRACE-only results differ to within 15% from these independently calculated values; we will comment on the possible causes and the quality of the glacial isostatic adjustment model which is used to correct geodetic datasets.     

联合GRACE、Swarm、GRACE-FO卫星观测确定格陵兰岛冰盖质量时空变化特征

GRACE（Gravity Recovery and Climate Experiment）重力卫星任务的成功实施,极大推进了极地冰盖质量平衡、全球水循环和海水质量变化等领域的研究,其后续任务GRACE-FO（Gravity Recovery and Climate Experiment Follow-On）于2018年5月成功发射,但两个卫星任务存在近一年的观测空白期.Swarm卫星于2013年11月成功发射,其任务由三颗在低轨道高度绕地球运行的卫星组成,搭载有GPS接收器、加速度计等装置,使得Swarm卫星具有恢复静态和时变重力场的能力.本文利用Swarm卫星观测反演格陵兰岛冰盖质量变化,通过与GRACE、GRACE-FO结果进行对比,验证其确定地表质量变化的能力,并基于GRACE、Swarm和GRACE-FO数据建立了2002年4月—2020年5月格陵兰岛冰盖质量变化时间序列,进一步利用温度和降水数据探讨冰盖消融的原因.结果表明：1）2013年12月—2017年6月,利用GRACE数据和Swarm数据确定的格陵兰岛冰盖质量变化时间序列的相关系数为0.652;2）2018年6月—2019年6月,基于GRACE-FO数据和Swarm数据得到格陵兰岛冰盖质量变化时间序列的相关系数为0.518;3）2002年4月—2020年5月格陵兰岛冰盖质量下降速率为-11.174±0.109 cm·a^-1,非季节性冰盖质量异常在2013年4月出现极小值;4）在2010年8月—2017年6月,格陵兰岛地区温度异常和径流量异常升高,以及降水量异常减少,在一定程度上,加剧了该地区的冰盖消融.本文研究表明Swarm卫星具有探测地球时变重力场的能力,可填补GRACE和GRACE-FO任务之间的空白.

     

基于GRACE RL06数据监测和分析南极冰盖27个流域质量变化

本文基于CSR最新公布的GRACE RL06版本数据,采用Slepian空域反演法估算了南极冰盖27个流域的质量变化.Slepian空域反演法结合了Slepian空间谱集中法和空域反演法的技术优势,能够有效降低GRACE在小区域反演时信号出现的严重泄漏和衰减,进而精确获得南极冰盖在每个流域的质量变化.相对于GRACE RL05版本数据,RL06在条带误差的控制上要更加优化,获得的南极冰盖质量变化时间序列也更加平滑,但在趋势估算上差别并不明显（小于10 Gt/a）.本文的估算结果显示：在2002年4月至2016年8月期间,整个南极冰盖质量变化速率为-118.6±16.3 Gt/a,其中西南极为-142.4±10.5 Gt/a,南极半岛为-29.2±2.1 Gt/a,东南极则为52.9±8.6 Gt/a.南极冰盖损失最大的区域集中在西南极Amundsen Sea Embayment（流域20-23）,该地区质量变化速率为-203.5±4.1 Gt/a,其次为南极半岛（流域24-27）以及东南极Victoria-Wilkes Land（流域13-15）,质量变化速率分别为-29.2±2.1 Gt/a和-19.0±4.7 Gt/a,其中Amundsen Sea Embayment和南极半岛南部两个地区的冰排放呈现加速状态.南极冰盖质量显著增加的区域主要有西南极的Ellsworth Land（流域1）和Siple Coast（流域18和19）以及东南极的Coats-Queen Maud-Enderby Land（流域3-8）,三个地区质量变化速率分别为17.2±2.4 Gt/a、43.9±1.9 Gt/a和62.7±3.8 Gt/a,质量增加大多来自降雪累积,比如：Coats-Queen Maud-Enderby Land在2009年和2011年发生的大规模降雪事件,但也有来自冰川的增厚,如：Siple Coast地区Kamb冰流的持续加厚.此外,对GRACE估算的南极冰盖质量变化年际信号进行初步分析发现,GRACE年际信号与气候模型估算的冰盖表面质量平衡年际信号存在显著的线性相关关系,但与主要影响南极气候年际变化的气候事件之间却不存在线性相关关系,这说明南极冰盖质量变化的年际信号主要受冰盖表面质量平衡的支配,而气候事件对冰盖表面质量平衡的影响可能是复杂的非线性耦合过程.

     

Understanding and Modelling Rapid Dynamic Changes of Tidewater Outlet Glaciers: Issues and Implications

Recent dramatic acceleration, thinning and retreat of tidewater outlet glaciers in Greenland raises concern regarding their contribution to future sea-level rise. These dynamic changes seem to be parallel to oceanic and climatic warming but the linking mechanisms and forcings are poorly understood and, furthermore, large-scale ice sheet models are currently unable to realistically simulate such changes which provides a major limitation in our ability to predict dynamic mass losses. In this paper we apply a specifically designed numerical flowband model to Jakobshavn Isbrae (JIB), a major marine outlet glacier of the Greenland ice sheet, and we explore and discuss the basic concepts and emerging issues in our understanding and modelling ability of the dynamics of tidewater outlet glaciers. The modelling demonstrates that enhanced ocean melt is able to trigger the observed dynamic changes of JIB but it heavily relies on the feedback between calving and terminus retreat and therefore the loss of buttressing. Through the same feedback, other forcings such as reduced winter sea-ice duration can produce similar rapid retreat. This highlights the need for a robust representation of the calving process and for improvements in the understanding and implementation of forcings at the marine boundary in predictive ice sheet models. Furthermore, the modelling uncovers high sensitivity and rapid adjustment of marine outlet glaciers to perturbations at their marine boundary implying that care should be taken in interpreting or extrapolating such rapid dynamic changes as recently observed in Greenland.     

Observed Mass Balance of Mountain Glaciers and Greenland Ice Sheet in the 20th Century and the Present Trends

Glacier mass balance and secular changes in mountain glaciers and ice caps are evaluated from the annual net balance of 137 glaciers from 17 glacierized regions of the world. Further, the winter and summer balances for 35 glaciers in 11 glacierized regions are analyzed. The global means are calculated by weighting glacier and regional surface areas. The area-weighted global mean net balance for the period 1960?C2000 is ?270 ± 34 mm a^?1 w.e. (water equivalent, in mm per year) or (?149 ± 19 km³ a^?1 w.e.), with a winter balance of 890 ± 24 mm a^?1 w.e. (490 ± 13 km³ a^?1 w.e.) and a summer balance of ?1,175 ± 24 mm a^?1 w.e. (?647 ± 13 km³ a^?1 w.e.). The linear-fitted global net balance is accelerating at a rate of ?9 ± 2.1 mm a^?2. The main driving force behind this change is the summer balance with an acceleration of ?10 ± 2.0 mm a^?2. The decadal balance, however, shows significant fluctuations: summer melt reached its peak around 1945, followed by a decrease. The negative trend in the annual net balance is interrupted by a period of stagnation from 1960s to 1980s. Some regions experienced a period of positive net balance during this time, for example, Europe. The balance has become strongly negative since the early 1990s. These decadal fluctuations correspond to periods of global dimming (for smaller melt) and global brightening (for larger melt). The total radiation at the surface changed as a result of an imbalance between steadily increasing greenhouse gases and fluctuating aerosol emissions. The mass balance of the Greenland ice sheet and the surrounding small glaciers, averaged for the period of 1950?C2000, is negative at ?74 ± 10 mm a^?1 w.e. (?128 ± 18 km³ a^?1 w.e.) with an accumulation of 297 ± 33 mm a^?1 w.e. (519 ± 58 km³ a^?1 w.e.), melt ablation ?169 ± 18 mm a^?1 w.e. (?296 ± 31 km³ a^?1 w.e.), calving ablation ?181 ± 19 mm a^?1 w.e. (?316 ± 33 km³ a^?1 w.e.) and the bottom melt-21 ± 2 mm a^?1 w.e. (?35 ± 4 km³ a^?1 w.e.). Almost half (?60 ± 3 km³ a^?1) of the net mass loss comes from mountain glaciers and ice caps around the ice sheet. At present, it is difficult to detect any statistically significant trends for these components. The total mass balance of the Antarctic ice sheet is considered to be too premature to evaluate. The estimated sea-level contributions in the twentieth Century are 5.7 ± 0.5 cm by mountain glaciers and ice caps outside Antarctica, 1.9 ± 0.5 cm by the Greenland ice sheet, and 2 cm by ocean thermal expansion. The difference of 7 cm between these components and the estimated value with tide-gage networks (17 cm) must result from other sources such as the mass balance of glaciers of Antarctica, especially small glaciers separated from the ice sheet.     

Ice Sheets and Sea Level: Thinking Outside the Box

Until quite recently, the mass balance (MB) of the great ice sheets of Greenland and Antarctica was poorly known and often treated as a residual in the budget of oceanic mass and sea level change. Recent developments in regional climate modelling and remote sensing, especially altimetry, gravimetry and InSAR feature tracking, have enabled us to specifically resolve the ice sheet mass balance components at a near-annual timescale. The results reveal significant mass losses for both ice sheets, caused by the acceleration of marine-terminating glaciers in southeast, west and northwest Greenland and coastal West Antarctica, and increased run-off in Greenland. At the same time, the data show that interannual variability is very significant, masking the underlying trends.     

Improved Constraints on Models of Glacial Isostatic Adjustment: A Review of the Contribution of Ground-Based Geodetic Observations

The provision of accurate models of Glacial Isostatic Adjustment (GIA) is presently a priority need in climate studies, largely due to the potential of the Gravity Recovery and Climate Experiment (GRACE) data to be used to determine accurate and continent-wide assessments of ice mass change and hydrology. However, modelled GIA is uncertain due to insufficient constraints on our knowledge of past glacial changes and to large simplifications in the underlying Earth models. Consequently, we show differences between models that exceed several mm/year in terms of surface displacement for the two major ice sheets: Greenland and Antarctica. Geodetic measurements of surface displacement offer the potential for new constraints to be made on GIA models, especially when they are used to improve structural features of the Earth’s interior as to allow for a more realistic reconstruction of the glaciation history. We present the distribution of presently available campaign and continuous geodetic measurements in Greenland and Antarctica and summarise surface velocities published to date, showing substantial disagreement between techniques and GIA models alike. We review the current state-of-the-art in ground-based geodesy (GPS, VLBI, DORIS, SLR) in determining accurate and precise surface velocities. In particular, we focus on known areas of need in GPS observation level models and the terrestrial reference frame in order to advance geodetic observation precision/accuracy toward 0.1 mm/year and therefore further constrain models of GIA and subsequent present-day ice mass change estimates.     

冰盖消融的海平面指纹变化及其对GRACE监测结果的影响

全球变暖背景下的冰盖消融以及由此带来海平面上升日益明显,直接影响地球表面的陆地水质量平衡,以及固体地球瞬间弹性响应,研究冰盖质量变化的海平面指纹能够帮助深入了解未来海平面区域变化的驱动因素.本文基于海平面变化方程并考虑负荷自吸效应（SAL）与地球极移反馈的影响,借助美国德克萨斯大学空间研究中心（Center for Space Research,CSR）发布的2003年到2012年十年期间的GRACE重力场月模型数据（RL05）,结合加权高斯平滑的区域核函数,反演得到格陵兰与南极地区冰盖质量变化的时空分布,并利用海平面变化方程计算得到了相对海平面的空间变化,结果表明：格陵兰与南极冰盖质量整体呈明显的消融趋势,变化速率分别为-273.31 Gt/a及-155.56 Gt/a,由此导致整个北极圈相对海平面降低,最高可达约-0.6 cm·a^-1;而南极地区冰盖质量变化趋势分布不一,导致西南极近海相对海平面下降,而东南极地区近海相对海平面上升,最高可达约0.2 cm·a^-1.远离质量负荷区域的全球海平面以上升趋势为主,平均全球相对海平面上升0.71 mm·a^-1,部分远海地区相对海平面上升更加突出（例如北美与澳大利亚）,高出全球平均海平面上升速率将近30%.此外,本文也重点探讨了GRACE监测冰盖消融结果中由于极地近海海平面变化导致的泄漏影响,经此项影响校正后的结果表明：海平面指纹效应对GRACE监测格陵兰与南极地区2003-2012期间整体冰盖消融速率的贡献分别为约3%与9%,建议在后期利用GRACE更精确地估算研究区冰盖质量变化时,应考虑海平面指纹效应的渗透影响.

     

利用SWARM卫星高低跟踪探测格陵兰岛时变重力信号

GRACE重力卫星任务即将结束,后续GRACE Follow-On卫星计划于2017年发射,在此期间,迫切需要一个新的卫星计划继续对全球时变重力场进行连续监测,以保证时变重力场信息时间序列的连贯性.SWARM计划包括三颗轨道高为300~500 km的近极轨卫星星座,类似于三颗CHAMP卫星,具有接替时变重力场探测的潜力.本文首先分析SWARM(模拟)、CHAMP、GRACE反演至60阶时变重力场球谐系数的误差特性及不同高斯平滑半径对高频误差的抑制效果,然后分别利用SWARM、CHAMP、GRACE的时变重力场模型恢复全球质量变化,结果表明,SWARM模拟观测数据的高频误差低于CHAMP观测数据,探测时变重力场的整体精度优于CHAMP,略低于GRACE探测精度;其次,对比2003年1月—2009年12月期间CHAMP(hl-SST)和GRACE(ll-SST)时变重力场模型反演格陵兰岛冰盖质量变化趋势,结果显示,CHAMP数据得到格陵兰岛冰盖质量变化趋势为-50.2±2.0 Gt/a,GRACE所得结果为-41.2±1.6 Gt/a,两者相差21.8%;最后,对比2000年1月—2004年12月间SWARM模拟数据和"真实"模型数据反演的格陵兰岛冰盖质量变化趋势,结果表明,两者相差19.2%.本文研究表明,利用SWARM hl-SST数据探测时变重力场可以达到20%相对精度水平,有潜力用于填补GRACE和GRACE Follow-On期间探测地球时变重力场的空白.     

联合GRACE和ICESat数据分离南极冰川均衡调整(GIA)信号

2002年发射的GRACE重力卫星为南极冰盖质量平衡提供了一种新的测量方式,但由于南极GIA模型的不确定较大,进而影响GRACE结果的可靠性.本文联合2003-2009年的GRACE和ICESat等数据实现了南极GIA信号的分离,联合方法所分离的GIA不依赖于不确定性很大的冰负荷等假设模型,而是直接基于卫星观测数据估算而来的,具有更大的可靠性.在分离过程中,本文提出了冰流速度加权改正法和GPS球谐拟合改正法对GIA结果进行精化,同时引入了南极GPS观测站的位移数据对分离的GIA进行详细的评估和验证,GPS验证表明经过冰流速度加权和GPS球谐拟合双改正后的GIA结果精度明显得到提高.最后本文利用所分离的GIA对GRACE和ICESat结果进行了改正,得到2003-2009年南极冰盖质量变化的趋势为-66.7±54.5 Gt/a（GRACE）和-77.2±21.5 Gt/a（ICESat）,相比采用其他的GIA模型,本文的GIA结果使GRACE和ICESat这两种不同观测技术得到的南极冰盖质量变化结果更加趋于一致.     

GRACE重力卫星探测南极冰盖质量平衡及其不确定性

2002年GRACE重力卫星的成功发射为南极冰盖质量平衡的研究提供了重力探测的新纪元. 本文利用美国德克萨斯大学CSR公布的2003年1月到2013年12月期间的RL05版本GRACE月重力场数据, 采用最优平均核函数法和组合滤波法两种GRACE后处理方法反演了南极冰盖质量的时空变化. 结果表明: 在2003—2013年期间南极冰盖物质平衡呈明显的负增长状态, 质量变化趋势为-163±50 Gt/a(GW13)、-129±41 Gt/a(IJ05)、-81±27 Gt/a(W12a), 加速度为-8±10 Gt/a2, 质量消融的主要区域分布在西南极阿蒙森海岸和南极半岛的北部. 另外本文还重点探讨了可能影响到估算结果的各项误差及不确定性,分析结果显示影响南极冰盖质量平衡估算结果的最大误差源为GIA改正. 通过假设检验和信息准则对时间序列分析中拟合参数的合理选取进行了探讨和分析, 在联合周年项、半年项和S2、K2、K1潮汐混频项进行拟合分析时发现K1项对拟合结果的加速度影响比其他周期项稍大, 尽管考虑该项的合理性因当前GRACE数据时间序列长度有限而无法确切证实, 但K1项的影响值得后续关注. 对比两种GRACE后处理方法的结果发现:当采用的数据时间跨度一致, 误差改正方法相同, 两种相异的后处理方法, 其估算结果也具有较好的一致性.     

Large-Scale Surface Mass Balance of Ice Sheets from a Comprehensive Atmospheric Model

The surface mass balance for Greenland and Antarctica has been calculated using model data from an AMIP-type experiment for the period 1979?C2001 using the ECHAM5 spectral transform model at different triangular truncations. There is a significant reduction in the calculated ablation for the highest model resolution, T319 with an equivalent grid distance of ca 40?km. As a consequence the T319 model has a positive surface mass balance for both ice sheets during the period. For Greenland, the models at lower resolution, T106 and T63, on the other hand, have a much stronger ablation leading to a negative surface mass balance. Calculations have also been undertaken for a climate change experiment using the IPCC scenario A1B, with a T213 resolution (corresponding to a grid distance of some 60?km) and comparing two 30-year periods from the end of the twentieth century and the end of the twenty-first century, respectively. For Greenland there is change of 495?km³/year, going from a positive to a negative surface mass balance corresponding to a sea level rise of 1.4?mm/year. For Antarctica there is an increase in the positive surface mass balance of 285?km³/year corresponding to a sea level fall by 0.8?mm/year. The surface mass balance changes of the two ice sheets lead to a sea level rise of 7?cm at the end of this century compared to end of the twentieth century. Other possible mass losses such as due to changes in the calving of icebergs are not considered. It appears that such changes must increase significantly, and several times more than the surface mass balance changes, if the ice sheets are to make a major contribution to sea level rise this century. The model calculations indicate large inter-annual variations in all relevant parameters making it impossible to identify robust trends from the examined periods at the end of the twentieth century. The calculated inter-annual variations are similar in magnitude to observations. The 30-year trend in SMB at the end of the twenty-first century is significant. The increase in precipitation on the ice sheets follows closely the Clausius-Clapeyron relation and is the main reason for the increase in the surface mass balance of Antarctica. On Greenland precipitation in the form of snow is gradually starting to decrease and cannot compensate for the increase in ablation. Another factor is the proportionally higher temperature increase on Greenland leading to a larger ablation. It follows that a modest increase in temperature will not be sufficient to compensate for the increase in accumulation, but this will change when temperature increases go beyond any critical limit. Calculations show that such a limit for Greenland might well be passed during this century. For Antarctica this will take much longer and probably well into following centuries.     

冰川均衡调整对南极冰质量平衡监测的影响及其不确定性

本文研究了新的全球冰川均衡调整(GIA)模型对南极冰盖质量平衡监测的影响,考虑现有冰川负荷模型和地幔黏滞度模型的差异,完整评估了结果的不确定性,最后结合GRACE和卫星测高的结果进行了对比分析.结果表明,GIA对GRACE监测的等效水柱变化有重大影响,较大的GIA影响出现在西南极,沿罗斯冰架-卡姆布冰流-罗尼冰架-南极半岛分布,最大值在卡姆布冰流,达到29.8 mm/a;GIA对南极整体冰质量平衡的影响达到134±28 Gt/a.在不确定性的方差中,西南极和东南极分别以冰负荷模型差异和地幔黏滞度差异影响为主,对整个南极,冰模型差异影响占88.4%;在一些典型地区,GRACE监测的等效水柱在扣除GIA前后分别是,卡姆布冰流~32.8 mm/a和~6.3 mm/a,阿蒙森海湾~-95.3 mm/a和~-102.5 mm/a,Enderby Land~13.6 mm/a和~8.1 mm/a.整个南极冰盖总质量变化在扣除GIA贡献后为-82±29 Gt/a,该估计与卫星测高结果较吻合.此外,GIA对卫星测高监测的冰面高程变化的影响一般不超过8%.本研究为空间大地测量监测南极冰质量平衡提供了新的改正模型.     

Resolving sea level contributions by identifying fingerprints in time-variable gravity and altimetry

We have studied the ability of the GRACE gravimetry mission and Jason-1 altimetry to resolve ice and glacier induced contributions to sea level rise, by means of a fingerprint method. Here, the signals from ice sheet and land glacier changes, steric changes, glacial isostatic adjustment and terrestrial hydrology are assumed to have fixed spatial patterns. In a joint inversion using GRACE and Jason-1 data the unknown temporal components can then be estimated by least-squares. In total, we estimate temporal components for up to ∼ 80 individual patterns. From a propagation of the full error-covariance from GRACE and a diagonal error-covariance from Jason-1 altimetry we find that: (1) GRACE almost entirely explains the mass related parameters in the joint inversion, (2) an inversion using only Jason-1 data has a marginal ability to estimate the mass related parameters, while the steric parameters have much better formal accuracy. In terms of mean sea level rise the steric patterns have a maximum formal accuracy of 0.01 mm for an 11 week running mean. In general, strong negative error correlations (ρ < − 0.9) exists between the high and low elevation parts of the ice sheet drainage basins, when those are estimated independently. The largest formal errors found are in the order of 40 Gton for small high elevation subbasins in the southern Greenland ice sheet, which are difficult to separate. In a simplified joint inversion, merging high and low elevation basins, we have investigated the ability of the GRACE and Jason-1 data to separate the geocenter motion into a present-day contribution and a contribution from glacial isostatic adjustment (GIA). We find that the GIA related signal is larger than the present-day component with a maximum of −0.71 mm/year in the Z direction. Total geocenter motion rates are found to be −0.28, 0.43, −1.08 mm/year for the X, Y and Z components, respectively. The inversion results have been propagated to the Jason-1 along-track measurements. Over the time period considered, we see that a large part of the variability in the Pacific, Atlantic and Indian ocean can be explained by our inversion results. The applied inversion method therefore seems a feasible way to separate steric from mass induced sea level changes. At the same time, the joint inversion would benefit from more advanced parameterizations, which may aid in fitting remaining signal from altimetry.     

Mass loss of the Greenland ice sheet from GRACE time-variable gravity measurements

The Gravity Recovery and Climate Experiment (GRACE) satellite data is used to estimate the rate of ice mass variability over Greenland. To do this, monthly GRACE level 2 Release-04 (RL04) data from three different processing centers, Center for Space Research (CSR), German Research Center for Geosciences (GFZ) and Jet Propulsion Laboratories (JPL) were used during the period April 2002 to February 2010. It should be noted that some months are missing for all three data sets. Results of computations provide a mass decrease of −163 ± 20 Gigaton per year (Gt/yr) based on CSR-RL04 data, −161 ± 21 Gt/yr based on GFZ-RL04 data and −84 ± 26 Gt/yr based on JPL RL04.1. The results are derived by the application of a non-isotropic filter whose degree of smoothing corresponds to a Gaussian filter with a radius of 340 km. Striping effects in the GRACE data, C₂₀ effect, and leakage effects are taken into the consideration in the computations. There is some significant spread of the results among different processing centers of GRACE solutions; however, estimates achieved in this study are in agreement with the results obtained from alternative GRACE solutions.     

利用ICESat数据解算南极冰盖冰雪质量变化

南极冰盖冰雪质量变化反映了全球气候变化,并且直接影响着全球海平面变化.ICESat测高卫星的主要任务之一就是要确定南北两极冰盖的质量变化情况并评估其对全球海平面变化的影响.本文利用2003年10月至2008年12月的ICESat测高数据,针对南极DEM分辨率有限的特殊性,通过求解坡度改正值,解决重复轨道地面脚点不重合的问题,计算了南极大陆(86°S以北区域,后文所述南极冰盖均不包括86°S以南区域)在这5年里的冰雪质量变化情况,得到东南极冰盖的质量变化为-18±20 Gt/a,西南极-26±6 Gt/a,南极冰盖的冰雪质量变化为-44±21 Gt/a,对全球海平面上升的影响约为0.12 mm·a-1.解算结果表明,南极冰盖质量亏损主要集中在西南极阿蒙森海岸附近冰川以及东南极波因塞特角区域.     

Estimating the Glacier Contribution to Sea-Level Rise for the Period 1800�C2005

In this study, a new estimate of the contribution of glaciers and ice caps to the sea-level rise over the period 1800?C2005 is presented. We exploit the available information on changes in glacier length. Length records form the only direct evidence of glacier change that has potential global coverage before 1950. We calculate a globally representative signal from 349 glacier length records. By means of scaling, we deduce a global glacier volume signal, that is calibrated on the mass-balance and geodetic observations of the period 1950?C2005. We find that the glacier contribution to sea-level rise was 8.4 ± 2.1 cm for the period 1800?C2005 and 9.1 ± 2.3 cm for the period 1850?C2005.     

Overview and Assessment of Antarctic Ice-Sheet Mass Balance Estimates: 1992�C2009

Mass balance estimates for the Antarctic Ice Sheet (AIS) in the 2007 report by the Intergovernmental Panel on Climate Change and in more recent reports lie between approximately +50 to ?250 Gt/year for 1992 to 2009. The 300 Gt/year range is approximately 15% of the annual mass input and 0.8 mm/year Sea Level Equivalent (SLE). Two estimates from radar altimeter measurements of elevation change by European Remote-sensing Satellites (ERS) (+28 and ?31 Gt/year) lie in the upper part, whereas estimates from the Input-minus-Output Method (IOM) and the Gravity Recovery and Climate Experiment (GRACE) lie in the lower part (?40 to ?246 Gt/year). We compare the various estimates, discuss the methodology used, and critically assess the results. We also modify the IOM estimate using (1) an alternate extrapolation to estimate the discharge from the non-observed 15% of the periphery, and (2) substitution of input from a field data compilation for input from an atmospheric model in 6% of area. The modified IOM estimate reduces the loss from 136 Gt/year to 13 Gt/year. Two ERS-based estimates, the modified IOM, and a GRACE-based estimate for observations within 1992?C2005 lie in a narrowed range of +27 to ?40 Gt/year, which is about 3% of the annual mass input and only 0.2 mm/year SLE. Our preferred estimate for 1992?C2001 is ?47 Gt/year for West Antarctica, +16 Gt/year for East Antarctica, and ?31 Gt/year overall (+0.1 mm/year SLE), not including part of the Antarctic Peninsula (1.07% of the AIS area). Although recent reports of large and increasing rates of mass loss with time from GRACE-based studies cite agreement with IOM results, our evaluation does not support that conclusion.     

Ice Sheet And Satellite Altimetry

Since 1991, the altimeters of the ERS European Satellites allow the observation of 80% of the Antarctica ice sheet and the whole Greenland ice sheet: They thus offer for the first time a unique vision of polar ice caps. Indeed, surface topography is an essential data thanks to its capacity to highlight the physical processes which control the surface shape, or to test models. Moreover, the altimeter is also a radar which makes it possible to estimate the snow surface or subsurface characteristics, such as surface roughness induced by the strong katabatic wind or ice grain size. The polar ice caps may not be in a stationary state, they continue to respond to the climatic warming of the beginning of the Holocene, that is 18000 years ago, and possibly start to react to present climatic warming: the altimeter offers the unique means of estimating the variations of volume and thus the contribution of polar ice caps to present sea level change.