Surface mass balance on Fimbul ice shelf, East Antarctica: Comparison of field measurements and large‐scale studies
Surface mass balance on Fimbul ice shelf, East Antarctica: Comparison of field measurements and large‐scale studies
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DOI：
10.1002/jgrd.50875
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发表时间：
2013-10
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通讯作者：
A. Sinisalo;H. Anschütz;Anne Tårånd Aasen;K. Langley;A. Deschwanden;J. Kohler;K. Matsuoka;S. Hamran-S.
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作者：
A. Sinisalo;H. Anschütz;Anne Tårånd Aasen;K. Langley;A. Deschwanden;J. Kohler;K. Matsuoka;S. Hamran-S.
估计南极冰盖表面质量平衡（SMB）仍然存在许多挑战，这是未来海平面上升预测的主要不确定性。由于现场数据分布稀疏，大陆尺度研究的有效性受到阻碍。在这里，我们提出了一个26年的平均SMB的Fimbul冰架在南极洲东部1983-2009年，最近的年际变化自2010年以来。我们将这些数据与从区域大气建模和遥感中获得的类似时间段的大规模SMB研究结果进行了比较。我们的现场数据包括探地雷达、雪芯和质量平衡桩，并提供时间和空间尺度的信息。芬布尔冰架上26年的平均SMB在170和620 kg m−2 a−1之间变化，区域平均值为310 ± 70 kg m−2 a−1。我们的测量结果表明，与大规模研究相比，冰架大部分地区的长期积累更高。我们还表明，年平均SMB的变异性可能高达90%，可能是短期估计的主导因素。结果强调了在相关时间段内使用地面验证数据，区域气候模型和遥感相结合的重要性，以便为南极洲实现可靠的SMB。
Many challenges remain for estimating the Antarctic ice sheet surface mass balance (SMB), which represents a major uncertainty in predictions of future sea‐level rise. Validating continental scale studies is hampered by the sparse distribution of in situ data. Here we present a 26 year mean SMB of the Fimbul ice shelf in East Antarctica between 1983–2009, and recent interannual variability since 2010. We compare these data to the results of large‐scale SMB studies for similar time periods, obtained from regional atmospheric modeling and remote sensing. Our in situ data include ground penetrating radar, firn cores, and mass balance stakes and provide information on both temporal and spatial scales. The 26 year mean SMB on the Fimbul ice shelf varies between 170 and 620 kg m−2 a−1 giving a regional average value of 310 ± 70 kg m−2 a−1. Our measurements indicate higher long‐term accumulation over large parts of the ice shelf compared to the large‐scale studies. We also show that the variability of the mean annual SMB, which can be up to 90%, can be a dominant factor in short‐term estimates. The results emphasize the importance of using a combination of ground‐based validation data, regional climate models, and remote sensing over a relevant time period in order to achieve a reliable SMB for Antarctica.