通过参数优化和MODIS积雪反照率反演改进格陵兰冰盖的模拟反照率

IF 4.4 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Cryosphere Pub Date : 2023-07-12 DOI:10.5194/tc-17-2705-2023
N. Raoult, S. Charbit, C. Dumas, F. Maignan, C. Ottlé, V. Bastrikov
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引用次数: 1

摘要

摘要随着全球气温的升高,格陵兰冰盖的质量损失继续加速。冰盖的地表反照率决定了吸收量,是驱动地表冰雪融化的关键因素。卫星获取的积雪反照率使我们能够比较和优化整个冰盖的反照率模型。在2000-2017年期间,我们对ORCHIDEE(动态生态系统中的组织碳和水文)陆地表面模型中反照率方案的参数进行了优化,并对其余年份进行了验证。特别是,我们希望改善冰盖边缘的反照率,因为它们对应于消融区域,并且显示出径流和地表质量平衡的最大变化。通过对冰盖边缘的点赋予更大的权重,我们将夏季整个冰盖的均方根偏差降低了25%以上,从而改善了模型数据的拟合。这种改进在所有年份都是一致的,即使是那些没有在校准步骤中使用的年份。我们还表明,优化成功地改善了来自PROMICE(格陵兰冰盖监测计划)网络的87.5%的原位站点的模型数据拟合。最后,我们展示了哪些额外的模型输出受到反照率参数变化的影响,鼓励在优化这些参数时使用多个数据流的未来工作。
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Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals
Abstract. Greenland ice sheet mass loss continues to accelerate as global temperatures increase. The surface albedo of the ice sheet determines the amount of absorbed solar energy, which is a key factor in driving surface snow and ice melting. Satellite-retrieved snow albedo allows us to compare and optimise modelled albedo over the entirety of the ice sheet. We optimise the parameters of the albedo scheme in the ORCHIDEE (Organizing Carbon and Hydrology in Dynamic Ecosystems) land surface model for 3 random years taken over the 2000–2017 period and validate over the remaining years. In particular, we want to improve the albedo at the edges of the ice sheet, since they correspond to ablation areas and show the greatest variations in runoff and surface mass balance. By giving a larger weight to points at the ice sheet's edge, we improve the model–data fit by reducing the root-mean-square deviation by over 25 % for the whole ice sheet for the summer months. This improvement is consistent for all years, even those not used in the calibration step. We also show the optimisation successfully improves the model–data fit at 87.5 % of in situ sites from the PROMICE (Programme for Monitoring of the Greenland Ice Sheet) network. We conclude by showing which additional model outputs are impacted by changes to the albedo parameters, encouraging future work using multiple data streams when optimising these parameters.
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来源期刊
Cryosphere
Cryosphere GEOGRAPHY, PHYSICAL-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
8.70
自引率
17.30%
发文量
240
审稿时长
4-8 weeks
期刊介绍: The Cryosphere (TC) is a not-for-profit international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on all aspects of frozen water and ground on Earth and on other planetary bodies. The main subject areas are the following: ice sheets and glaciers; planetary ice bodies; permafrost and seasonally frozen ground; seasonal snow cover; sea ice; river and lake ice; remote sensing, numerical modelling, in situ and laboratory studies of the above and including studies of the interaction of the cryosphere with the rest of the climate system.
期刊最新文献
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