Recent Progress in Greenland Ice Sheet Modelling

Recent Progress in Greenland Ice Sheet Modelling
复制标题

DOI:
10.1007/s40641-017-0073-y
复制
发表时间:
2017-12-01
影响因子:
9.5
通讯作者:
van de Wal, Roderik S. W.
van de Wal, Roderik S. W.
中科院分区:
地球科学1区
文献类型:
--
作者:
Goelzer, Heiko;Robinson, Alexander;van de Wal, Roderik S. W.

文献摘要

被引文献

相似文献

本文综述了格陵兰冰盖动力学数值模拟的最新文献,概述了研究进展,并指出了未来研究的重要方向。该综述特别关注大尺度冰盖模拟,包括未来预测、模型参数化、古应用以及与地球系统其他组成部分模型的耦合。数据同化技术已被用于提高格陵兰冰盖动力学模式模拟的可靠性,包括更精确的初始状态、更全面地利用遥感和古观测以及包括额外的物理过程。建模人员现在利用越来越多的高分辨率卫星和空中数据产品来初始化冰盖模型,以进行百年时间尺度的模拟,这是与政策相关的海平面预测所需要的。模拟过去和未来的长期冰盖演变,这需要简化但充分地表示与地球系统其他组成部分的相互作用,已经看到了稳步的改进。将冰盖纳入气候模式的重要进展正在进行中,这可能导致在未来几年对格陵兰冰盖-气候系统完全耦合的常规模拟。
Purpose of Review This paper reviews the recent literature on numerical modelling of the dynamics of the Greenland ice sheet with the goal of providing an overview of advancements and to highlight important directions of future research. In particular, the review is focused on large-scale modelling of the ice sheet, including future projections, model parameterisations, paleo applications and coupling with models of other components of the Earth system.Recent Findings Data assimilation techniques have been used to improve the reliability of model simulations of the Greenland ice sheet dynamics, including more accurate initial states, more comprehensive use of remote sensing as well as paleo observations and inclusion of additional physical processes.Summary Modellers now leverage the increasing number of high-resolution satellite and air-borne data products to initialise ice sheet models for centennial time-scale simulations, needed for policy relevant sea-level projections. Modelling long-term past and future ice sheet evolution, which requires simplified but adequate representations of the interactions with the other components of the Earth system, has seen a steady improvement. Important developments are underway to include ice sheets in climate models that may lead to routine simulation of the fully coupled Greenland ice sheet-climate system in the coming years.