Dataset supporting "Brief communication: Sensitivity analysis of peak water to ice thickness and temperature: A case study in the Western Kunlun Mountains of the Tibetan Plateau"
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This dataset accompanies the publication under review "Brief communication: Sensitivity analysis of peak water to ice thickness and temperature: A case study in the Western Kunlun Mountains of the Tibetan Plateau". This folder contains glacier evolution in the study region, modeled as described in the article with the Open Global Glacier Model (OGGM, Maussion et al., 2019). The folder structure is subdivised between the used GCM ('MRI-ESM2-0', 'CESM2-WACCM', 'IPSL-CM6A-LR', 'ACCESS-CM2' or 'ACCESS-ESM1-5'). For each GCM, each files contains the evolution of glaciers variable (volume, area, runoff components) for a given SSP with 'evol_ssp585_spdyn_millan.nc' corresponding to SSP5-8.5 and using (Millan et al., 2022) ice thickness dataset, 'evol_ssp585_spdyn_farinotti.nc' for using (Farinotti et al., 2019) dataset. Results from sensitivity experiments are also available under filenames such as 'evol_ssp126_nosp_sensvol_X.nc' or 'evol_ssp126_nosp_senstemp_X.nc', X being the rank of the varying parameter (initial ice volume multiplying factor or temperature bias). Temperatures and precipitation averaged over the study region are also available for each SSPs. Code used for the figures in the article can be found on linked github repository. References Farinotti, D., Huss, M., Fürst, J., Landmann, J., Machguth, H., Maussion, F., and Pandit, A.: A consensus estimate for the ice thickness distribution of all glaciers on Earth, Nature Geo- science, 12, 168–173, https://doi.org/10.1038/s41561-019-0300- 3, 2019. Maussion, F., Butenko, A., Champollion, N., Dusch, M., Eis, J., Fourteau, K., Gregor, P., Jarosch, A. H., Landmann, J., Oesterle, F., Recinos, B., Rothenpieler, T., Vlug, A., Wild, C. T., and Marzeion, B.: The Open Global Glacier Model (OGGM) v1.1, Geosci. Model Dev., 12, 909–931, https://doi.org/10.5194/gmd- 12-909-2019, 2019. Millan, R., Mouginot, J., Rabatel, A., and Morlighem, M.: Ice velocity and thickness of the world’s glaciers, Nature Geoscience, 15, 124–129, https://doi.org/10.1038/s41561-021- 00885-z, 2022.
本数据集配套于一篇正在审稿的研究短文：《峰值水量对冰厚与温度的敏感性分析——以青藏高原西昆仑山区为例》。本文件夹包含研究区域的冰川演化模拟结果，模拟采用文章中所述的开放全球冰川模型（Open Global Glacier Model, 简称OGGM, Maussion等，2019）。 本文件夹按所用的全球气候模式（Global Circulation Model, 简称GCM）进行分类，涵盖'MRI-ESM2-0'、'CESM2-WACCM'、'IPSL-CM6A-LR'、'ACCESS-CM2'以及'ACCESS-ESM1-5'五类模式。 针对每个GCM，各文件包含特定共享社会经济路径（Shared Socioeconomic Pathways, 简称SSP）下的冰川变量（体积、面积、径流组分）的演化序列；其中`evol_ssp585_spdyn_millan.nc`对应SSP5-8.5情景，且采用Millan等人（2022）发布的冰厚数据集；`evol_ssp585_spdyn_farinotti.nc`则采用Farinotti等人（2019）发布的冰厚数据集。敏感性试验的结果同样可通过类似文件名获取，例如`evol_ssp126_nosp_sensvol_X.nc`或`evol_ssp126_nosp_senstemp_X.nc`，其中X为变动参数的序号（初始冰体积乘数或温度偏差值）。 研究区域的平均气温与降水数据也已针对各SSP情景提供。 本文配图所用的代码可在关联的GitHub仓库中获取。 参考文献 Farinotti, D., Huss, M., Fürst, J., Landmann, J., Machguth, H., Maussion, F., Pandit, A.: 全球所有冰川冰厚分布的共识估算，《自然·地球科学》，12, 168–173, https://doi.org/10.1038/s41561-019-0300-3, 2019. Maussion, F., Butenko, A., Champollion, N., Dusch, M., Eis, J., Fourteau, K., Gregor, P., Jarosch, A. H., Landmann, J., Oesterle, F., Recinos, B., Rothenpieler, T., Vlug, A., Wild, C. T., Marzeion, B.: 开放全球冰川模型（OGGM）v1.1，《地球科学模式发展》，12, 909–931, https://doi.org/10.5194/gmd-12-909-2019, 2019. Millan, R., Mouginot, J., Rabatel, A., Morlighem, M.: 全球冰川的冰流速与冰厚，《自然·地球科学》，15, 124–129, https://doi.org/10.1038/s41561-021-00885-z, 2022.
