Estimation of the Global distribution of sub-grid snow-cover ratio using a high resolution satellite data and its evaluation by a land surface model.

利用高分辨率卫星数据估计全球亚网格积雪覆盖率分布及其地表模型评估。

• 批准号: 19612004
• 负责人: TAKATA Kumiko
• 金额: $ 2.83万
• 依托单位: Japan Agency for Marine-Earth Science and Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2007
• 资助国家: 日本
• 起止时间: 2007 至 2010
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19612004/
• 关键词: 陸面水文過程モデル; 積雪被覆率; 全球規模気候変動; 陸面過程モデリング; 積雪分布; 衛星観測データ; 気候変動; 全球気候変動; 衛星データ; 全球気候モデル

The global distribution of sub-grid snow cover ratio was estimated using two satellite observation data in visible radiation band : EASE-Grid data which covered long term period but limited for a medium resolution, and MODIS data which was limited to the recent years but enabled for a high resolution. In a land surface model for climate studies, MATSIRO, snow cover ratio had been estimated by a simple function of snow water equivalent. That was replaced by a scheme of snow cover ratio (SSNOWD) where the physics of the sub-grid distribution of snow cover was considered. It resulted in the significant reductions in negative biases in accumulation season and in positive biases in eastern Siberia.

利用EASE-Grid和MODIS两种可见光波段卫星观测资料估算了亚栅格积雪率的全球分布：EASE-Grid数据覆盖较长时间，但仅限于中分辨率，MODIS数据仅限于近年来，但具有高分辨率。在用于气候研究的陆地表面模式MATSIRO中，积雪率是通过雪水当量的简单函数来估计的。取而代之的是雪覆盖比（snownd）方案，其中考虑了雪覆盖子网格分布的物理特性。结果表明，累积季负偏和东西伯利亚正偏显著减小。