Snow cover and glacier energy and mass balance variability (SG)

积雪和冰川能量和质量平衡变异性 (SG)

• 批准号: 320406619
• 负责人: Professor Dr. Christoph Schneider
• 金额: --
• 依托单位: Lehrstuhl für Klimageographie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/320406619?language=en
• 关键词: Snow; cover; glacier; energy; mass

Precipitation is one of the most important climate elements linking complex atmospheric processes with hydrological cycles, snow cover and mass balances of glaciers and ice caps. Precipitation is a key variable for water resource management and prevention of natural disasters such as floods and droughts. This particularly holds true for the study region of the proposed project bundle prime which encompasses High Asia, i.e., the Tibetan Plateau and its surrounding high-mountain ranges. Research within prime aims at generating and validating improved gridded precipitation data sets relying on new remote sensing data and advanced numerical modelling approaches (i). Based on this we investigate spatial and temporal patterns and region-specific boundary conditions, large-scale drivers and meso- to local-scale processes controlling precipitation variability (ii). The improved accuracy and better knowledge on precipitation type and variability allow to extend our understanding of spatial and temporal variations of glacier mass balances and seasonal snow covers in different sub-regions of High Asia (iii).The sub-project prime-SG shall contribute to the project bundle prime by three major research activities. First, the newly derived precipitation datasets by the other two sub-projects of prime will be evaluated against a combination of MODIS satellite snow cover data and model runs with an updated version of the Coupled Snow and Ice Energy and Mass Balance Modell (COSIMA). For that purpose COSIMA will be extended to include frozen ground instead of ice below the snow cover. The results will allow to evaluate the consistency of modelled (prime-HAR) and remote sensing derived (prime-RS) snowfall events. The modelling of the depletion of the snow cover resulting from single events in this procedure will be constrained and evaluated by MODIS satellite remote sensing imagery. Second, an advanced and extended version of COSIMA and the new atmospheric High Asia Refined Analysis (HAR) data will jointly be used for simulations of energy and mass fluxes on selected glaciers in High Asia with available mass balance observations for evaluation. The results will allow to analyse the performance and reliability of the new COSIMA model version and improved input data for glaciers with different climatic settings in High Asia. Third, within prime-SG, we will analyse the driving factors of glacier mass balance sensitivity and their dependency on the spatial variability of atmospheric forcing. The analysis will be based on both, sensitivity matrices and the analysis of the temporal patterns in atmospheric drivers and resulting energy and mass fluxes in the different regions.

降水是将复杂的大气过程与水文循环、积雪以及冰川和冰盖的质量平衡联系起来的最重要的气候要素之一。降水是水资源管理和预防洪水和干旱等自然灾害的关键变量。这对于拟议项目捆绑包的研究区域尤其如此，该区域涵盖高亚洲，即青藏高原及其周围的高山山脉。 prime 内的研究旨在依靠新的遥感数据和先进的数值建模方法生成和验证改进的网格降水数据集 (i)。在此基础上，我们研究了控制降水变化的空间和时间模式以及特定区域的边界条件、大规模驱动因素和中观到局部尺度的过程(ii)。对降水类型和变率的提高的准确性和更好的了解使我们能够扩展我们对高亚洲不同次区域冰川质量平衡和季节性积雪的时空变化的理解(iii)。子项目 prime-SG 将通过三项主要研究活动为项目捆绑包 prime 做出贡献。首先，prime 的其他两个子项目新导出的降水数据集将根据 MODIS 卫星积雪数据和更新版本的雪冰耦合能量与质量平衡模型 (COSIMA) 运行的模型进行评估。为此目的，COSIMA 将扩展到包括冰冻地面，而不是积雪下方的冰。结果将允许评估建模（prime-HAR）和遥感衍生（prime-RS）降雪事件的一致性。本程序中单个事件造成的积雪消耗模型将受到 MODIS 卫星遥感图像的约束和评估。其次，COSIMA 的高级扩展版本和新的大气高亚洲精细分析（HAR）数据将联合用于模拟高亚洲选定冰川的能量和质量通量，并利用可用的质量平衡观测进行评估。结果将有助于分析新 COSIMA 模型版本的性能和可靠性，以及高亚洲不同气候环境下冰川的改进输入数据。第三，在prime-SG中，我们将分析冰川质量平衡敏感性的驱动因素及其对大气强迫空间变化的依赖性。该分析将基于灵敏度矩阵和大气驱动因素的时间模式分析以及不同区域产生的能量和质量通量。

项目成果

Modeling of Mass Balance Variability and Its Impact on Water Discharge from the Urumqi Glacier No. 1 Catchment, Tian Shan, China

• DOI: 10.3390/w12123297
• 发表时间: 2020-11
• 期刊: Water
• 影响因子: 3.4
• 作者: Kira Thiel;A. Arndt;Puyu Wang;Huilin Li;Zhong-qin Li;C. Schneider

Intercomparison of Gridded Precipitation Datasets over a Sub-Region of the Central Himalaya and the Southwestern Tibetan Plateau

• DOI: 10.3390/w12113271
• 发表时间: 2020-11
• 期刊: Water
• 影响因子: 3.4
• 作者: Alexandra Hamm;A. Arndt;Christine Kolbe;Xun Wang;B. Thies;Oleksiy Boyko;P. Reggiani;D. Scherer-D.-Scher

Atmosphere Driven Mass-Balance Sensitivity of Halji Glacier, Himalayas

• DOI: 10.3390/atmos12040426
• 发表时间: 2021-04-01
• 期刊: ATMOSPHERE
• 影响因子: 2.9
• 作者: Arndt, Anselm;Scherer, Dieter;Schneider, Christoph
• 通讯作者: Schneider, Christoph

COSIPY v1.3 – an open-source coupled snowpack and ice surface energy and mass balance model

COSIPY v1 3 â 一个开源耦合的积雪和冰表面能量和质量平衡模型

• DOI: 10.5194/gmd-13-5645-2020
• 发表时间: 2020
• 期刊: Geoscientific Model Development
• 影响因子: 5.1
• 作者: Sauter;Schneider
• 通讯作者: Schneider