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Using climate reanalysis data in conjunction with multi-temporal satellite thermal imagery to derive supraglacial debris thickness changes from energy-balance modelling
Journal of Glaciology ( IF 2.8 ) Pub Date : 2021-01-21 , DOI: 10.1017/jog.2020.111
Rebecca L. Stewart , Matthew Westoby , Francesca Pellicciotti , Ann Rowan , Darrel Swift , Benjamin Brock , John Woodward

Surface energy-balance models are commonly used in conjunction with satellite thermal imagery to estimate supraglacial debris thickness. Removing the need for local meteorological data in the debris thickness estimation workflow could improve the versatility and spatiotemporal application of debris thickness estimation. We evaluate the use of regional reanalysis data to derive debris thickness for two mountain glaciers using a surface energy-balance model. Results forced using ERA-5 agree with AWS-derived estimates to within 0.01 ± 0.05 m for Miage Glacier, Italy, and 0.01 ± 0.02 m for Khumbu Glacier, Nepal. ERA-5 data were then used to estimate spatiotemporal changes in debris thickness over a ~20-year period for Miage Glacier, Khumbu Glacier and Haut Glacier d'Arolla, Switzerland. We observe significant increases in debris thickness at the terminus for Haut Glacier d'Arolla and at the margins of the expanding debris cover at all glaciers. While simulated debris thickness was underestimated compared to point measurements in areas of thick debris, our approach can reconstruct glacier-scale debris thickness distribution and its temporal evolution over multiple decades. We find significant changes in debris thickness over areas of thin debris, areas susceptible to high ablation rates, where current knowledge of debris evolution is limited.

中文翻译:

将气候再分析数据与多时相卫星热图像结合使用,从能量平衡模型中推导出冰上碎片厚度变化

表面能量平衡模型通常与卫星热图像结合使用,以估计冰上碎片的厚度。在碎片厚度估计工作流程中消除对当地气象数据的需求可以提高碎片厚度估计的多功能性和时空应用。我们使用表面能量平衡模型评估使用区域再分析数据来推导两个山地冰川的碎片厚度。强制使用 ERA-5 的结果与 AWS 得出的估计值一致,意大利 Miage Glacier 误差在 0.01 ± 0.05 m 以内,尼泊尔 Khumbu Glacier 误差误差在 0.01 ± 0.02 m 以内。然后使用 ERA-5 数据估计瑞士 Miage Glacier、Khumbu Glacier 和 Haut Glacier d'Arolla 约 20 年期间碎片厚度的时空变化。我们观察到 Haut Glacier d'Arolla 终点处的碎片厚度显着增加,以及所有冰川的碎片覆盖层边缘的碎片厚度显着增加。虽然与厚碎片区域的点测量相比,模拟的碎片厚度被低估了,但我们的方法可以重建冰川尺度的碎片厚度分布及其数十年的时间演变。我们发现薄碎片区域的碎片厚度发生了显着变化,这些区域容易受到高烧蚀率的影响,目前对碎片演化的了解有限。我们的方法可以重建冰川尺度的碎片厚度分布及其几十年的时间演变。我们发现薄碎片区域的碎片厚度发生了显着变化,这些区域容易受到高烧蚀率的影响,目前对碎片演化的了解有限。我们的方法可以重建冰川尺度的碎片厚度分布及其几十年的时间演变。我们发现薄碎片区域的碎片厚度发生了显着变化,这些区域容易受到高烧蚀率的影响,目前对碎片演化的了解有限。
更新日期:2021-01-21
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