Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet-Methods and Results
Evaluating GRACE Mass Change Time Series for the Antarctic and Greenland Ice Sheet-Methods and Results
复制标题
评估南极和格陵兰冰盖的 GRACE 质量变化时间序列 - 方法和结果
DOI：
10.3390/geosciences9100415
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发表时间：
2019-10-01
期刊：
影响因子：
2.7
通讯作者：
Shepherd, Andrew
中科院分区：
文献类型：
--
作者：
Groh, Andreas;Horwath, Martin;Shepherd, Andrew
重力恢复和气候实验（GRACE）获得的卫星重力测量数据可以推导出南极冰盖（AIS）和格陵兰冰盖（GIS）的冰质量的时间演变。各种算法已被用于广泛的研究，以产生重量质量平衡（GMB）产品。来自不同研究的结果可能会受到处理中的实质性差异的影响，包括所应用的算法，所使用的背景模型和所考虑的时间段。本研究给出了一个详细的描述，使用实际的GRACE每月的解决方案，在规定的时间内，以及合成数据集的GMB算法的性能评估。相互比较工作是在欧洲航天局气候变化倡议AIS和GIS项目的范围内进行的，并首次向所有人开放。由不同组产生的专线小巴产品可以进行评估和直接相互比较。从2003-02年到2013-12年，AIS的冰量估计线性趋势在-99 Gt/yr和-108 Gt/yr之间变化，GIS的冰量估计线性趋势在-252 Gt/yr和-274 Gt/yr之间变化。如果考虑较小的流域或网格化的专线小巴产品，解决方案之间的差距会更大。最后，从演习的结果形成的基础上选择算法用于生成AIS和GIS CCI项目中的GMB产品。
Satellite gravimetry data acquired by the Gravity Recovery and Climate Experiment (GRACE) allows to derive the temporal evolution in ice mass for both the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). Various algorithms have been used in a wide range of studies to generate Gravimetric Mass Balance (GMB) products. Results from different studies may be affected by substantial differences in the processing, including the applied algorithm, the utilised background models and the time period under consideration. This study gives a detailed description of an assessment of the performance of GMB algorithms using actual GRACE monthly solutions for a prescribed period as well as synthetic data sets. The inter-comparison exercise was conducted in the scope of the European Space Agency's Climate Change Initiative (CCI) project for the AIS and GIS, and was, for the first time, open to everyone. GMB products generated by different groups could be evaluated and directly compared against each other. For the period from 2003-02 to 2013-12, estimated linear trends in ice mass vary between -99 Gt/yr and -108 Gt/yr for the AIS and between -252 Gt/yr and -274 Gt/yr for the GIS, respectively. The spread between the solutions is larger if smaller drainage basins or gridded GMB products are considered. Finally, findings from the exercise formed the basis to select the algorithms used for the GMB product generation within the AIS and GIS CCI project.