Coupling MAR (Modèle Atmosphérique Régional) with PISM (Parallel Ice Sheet Model) mitigates the positive melt–elevation feedback

Alison Delhasse, J. Beckmann, C. Kittel, X. Fettweis
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Abstract

Abstract. The Greenland Ice Sheet is a key contributor to sea level rise. By melting, the ice sheet thins, inducing higher surface melt due to lower surface elevations, accelerating the melt coming from global warming. This process is called the melt–elevation feedback and can be considered by using two types of models: either (1) atmospheric models, which can represent the surface mass balance (SMB), or SMB estimates resulting from simpler models such as positive degree day models or (2) ice sheet models representing the surface elevation evolution. The latter ones do not represent the surface mass balance explicitly as well as polar-oriented climate models. A new coupling between the MAR (Modèle Atmosphérique Régional) regional climate model and the PISM (Parallel Ice Sheet Model) ice sheet model is presented here following the CESM2 (Community Earth System Model; SSP5-8.5, Shared Socioeconomic Pathway) scenario until 2100 at the MAR lateral boundaries. The coupling is extended to 2200 with a stabilised climate (+7 ∘C compared to 1961–1990) by randomly sampling the last 10 years of CESM2 to force MAR and reaches a sea level rise contribution of 64 cm. The fully coupled simulation is compared to a one-way experiment where surface topography remains fixed in MAR. However, the surface mass balance is corrected for the melt–elevation feedback when interpolated on the PISM grid by using surface mass balance vertical gradients as a function of local elevation variations (offline correction). This method is often used to represent the melt–elevation feedback and prevents a coupling which is too expensive in computation time. In the fully coupled MAR simulation, the ice sheet morphology evolution (changing slope and reducing the orographic barrier) induces changes in local atmospheric patterns. More specifically, wind regimes are modified, as well as temperature lapse rates, influencing the melt rate through modification of sensible heat fluxes at the ice sheet margins. We highlight mitigation of the melt lapse rate on the margins by modifying the surface morphology. The lapse rates considered by the offline correction are no longer valid at the ice sheet margins. If used (one-way simulation), this correction implies an overestimation of the sea level rise contribution of 2.5 %. The mitigation of the melt lapse rate on the margins can only be corrected by using a full coupling between an ice sheet model and an atmospheric model.
将 MAR(区域大气模型)与 PISM(平行冰盖模型)耦合可减轻融化-海拔的正反馈作用
摘要格陵兰冰原是导致海平面上升的主要因素。通过融化,冰盖变薄,由于地表海拔降低,导致地表融化加剧,从而加速了全球变暖带来的融化。这一过程被称为 "融化-海拔高度反馈",可以通过两类模型来考虑:(1) 大气模型,它可以代表地表质量平衡(SMB),或由正度日模型等更简单的模型得出的地表质量平衡估计值;或 (2) 冰盖模型,代表地表海拔高度演变。后者不像面向极地的气候模式那样明确表示地表质量平衡。本文介绍了 MAR(Modèle Atmosphérique Régional)区域气候模式和 PISM(Parallel Ice Sheet Model)冰盖模式之间的新耦合,该耦合是在 CESM2(Community Earth System Model;SSP5-8.5,Shared Socioeconomic Pathway)情景下进行的,直到 2100 年 MAR 的横向边界。通过随机抽样 CESM2 的最后 10 年,将耦合扩展到 2200 年的稳定气候(与 1961-1990 年相比+7 ∘C),迫使 MAR 达到 64 厘米的海平面上升。完全耦合模拟与单向实验进行了比较,在单向实验中,MAR 的地表地形保持不变。不过,在 PISM 网格上进行插值时,地表质量平衡会根据熔融-海拔反馈进行校正,将地表质量平衡垂直梯度作为当地海拔变化的函数(离线校正)。这种方法通常用于表示融化-抬升反馈,并防止计算时间过于昂贵的耦合。在完全耦合的 MAR 模拟中,冰盖形态演变(改变坡度和减少地形障碍)会引起当地大气模式的变化。更具体地说,风系和温度失效率都会发生变化,通过改变冰原边缘的显热通量影响融化率。我们强调通过改变表面形态来减缓边缘地区的融化失效率。离线校正所考虑的失效率在冰原边缘不再有效。如果使用这种校正方法(单向模拟),意味着海平面上升的贡献被高估了 2.5%。只有通过冰盖模型和大气模型之间的全面耦合,才能对边缘地区的融化失效率进行修正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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