基于多卫星遥感的积雪粒径与吸光性物质含量反演研究

积雪中吸光性物质通过改变积雪粒径而作用于雪-辐射平衡研究逐渐成为冰冻圈的研究热点，而通过卫星反演获取高时空分辨率的积雪粒径与吸光性物质含量，可有效对接地面观测与物质能量平衡模型及气候数值模型。本项目拟首次采用极轨卫星（SuomiNPP VIIRS，FY-3B）与静止卫星（Himawari-8， FY-4A）相结合，基于近似渐近辐射理论（AART）和脏雪波谱反照率模型，创新开发多组分相对含量反演算法，开展我国范围内高时空分辨率的积雪粒径与吸光性物质含量反演计算，辅以数值模拟与地面验证，明确积雪粒径与吸光性物质含量的时空分布特征，以期提供高质量产品数据供冰川质量平衡模型、水文模型和区域气候模型所使用。

The optical absorbing impurities would impact on the radiation balance of snow via the changes of snow grain size. This has become a research hotspot in the cryospheric studies. Satellite-based retrievals of snow grain size and mass concentrations of impurities in snow, would effectively docked the ground observations and Mass Energy Balance Model and even the climate models. This proposal will try to finish the above retrievals with combination of the polarized satellites (SuomiNPP VIIRS, FY-3B) with the stationary satellites (Himawari-8, FY-4A). The Approximate Asymptotic Radiation Theory (AART) and the Spectral Albedo Model for Dirty Snow is proposed to develop a new inversion method for relative contents of multi-components in snow. The spatial and temporal distribution of snow grain size and mass of impurities will be retrieved over China. The numerical simulation and ground verification are also carried out to further clarify the temporal and spatial characteristics of snow particle size and optical absorbing impurities. The major aim of this project is to provide high quality data product as input for glacial mass balance models, hydrological models and regional climate models.