陆面潜热通量遥感融合估算及其时空变化归因研究

Considering the difficulty of simulating land surface process variations and applications using the sparse and unevenly ground observations, and the current satellite-based surface latent heat flux products with the limited spatiotemporal resolution and accuracy, this project, firstly, focuses on the comprehensive estimation method of latent heat flux using multiple satellite data and algorithm ensemble strategy. Secondly, we will generate the improved long-term high precision spatially and temporally continuous latent heat flux products by merging the estimated products with meteorological parameters, remote sensing products, reanalysis and model simulated data. Finally, we will analyze the spatiotemporal variations and its attributions of latent heat flux over China, and explore the influences of two typical anthropogenic activities (urbanization and aforestration) based on land surface radiation balance and energy budget parameters, and also its feedbacks to climate change.The research results of this project will provide the fundamental algorithms support for global terrestrial latent heat flux estimation and promote the quantitatively research on long-term variation and mechanism of surface latent heat flux over China.

针对当前潜热通量观测站点稀少且分布不均，现有卫星遥感产品时空分辨率和精度上很难同时满足地表过程模拟与应用这一科学问题。本项目利用多源遥感数据联合和算法集合策略实现陆面潜热通量的综合估算，通过融合台站观测、其它遥感产品、再分析和模式模拟资料，建立多源潜热通量数据产品的融合算法，生成中国区域长时间序列的、时空连续的、高精度潜热通量产品。在此基础上，开展潜热通量时空变化特征与归因研究，分析典型区域两种典型人类活动（城市扩展和植树造林）对于潜热通量的影响研究，并评价其气候效应。本项目研究成果将为全球变化研究提供潜热通量算法支持，并将系统揭示近30 年来我国人类活动对于潜热通量影响的机制。

针对当前潜热通量观测站点稀少且分布不均，现有卫星遥感产品时空分辨率和精度上很难同时满足地表过程模拟与应用这一科学问题。本项目利用多源遥感数据联合和算法集合策略实现陆面潜热通量的综合估算，通过融合台站观测、其它遥感产品、再分析和模式模拟资料，建立多源潜热通量数据产品的融合算法，生成中国区域长时间序列的、时空连续的、高精度潜热通量产品。在此基础上，开展潜热通量时空变化特征与归因研究，分析典型区域两种典型人类活动对于潜热通量的影响研究，并评价其气候效应。本项目研究成果将为全球变化研究提供潜热通量算法支持，并将系统揭示近30 年来我国人类活动对于潜热通量影响的机制。