摘要
Greenland Ice Sheet (GrIS) surface melt has contributed to the global sea-level rise and the ongoing warming is expected to promote this process. This study provides a new strategy for the quantitative estimate of GrIS daily surface melt at enhanced resolution (3.125 km) from a remote sensing perspective beyond traditional regional climate models (RCMs). Daily melt flux is estimated from spaceborne radiometer observations with a back-propagation neural network model. The network is trained with melt fluxes that are calculated using detailed in-situ atmospheric and snow observations and a surface energy balance model. Our results provide details about the extreme melt in mid-July 2012 when surface melt occurred at Summit and the meltwater volume exceeded 20 Gt as a result of anomalous warming. Meltwater volume from the satellite is very close to that from RCMs.
| 源语言 | 英语 |
|---|---|
| 文章编号 | e2021GL096690 |
| 期刊 | Geophysical Research Letters |
| 卷 | 49 |
| 期 | 6 |
| DOI | |
| 出版状态 | 已出版 - 28 3月 2022 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 13 气候行动
学术指纹
探究 'Greenland Ice Sheet Daily Surface Melt Flux Observed From Space' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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