Sparse pattern representation with application to pattern parameterization in atmosphere and land surface coupled systems (C07*)

发展了大气和陆面耦合系统中模式稀疏表示的理论和模型，并应用于模式相互作用的研究。我们将研究稀疏表示如何描述不同尺度和数量之间的模式相互作用，以及它们是否可以在物理理解的基础上进行解释。该方法将应用于大涡模拟、地面遥感观测和卫星数据。这些结果为在一系列环境科学应用中随机动态地放大和缩小尺度开辟了新的机会。

Theory and models are developed for sparse representations of patterns in atmosphere and land-surface coupled systems, and applied for studying pattern interactions. We will examine how sparse representations can describe pattern interactions between different scales and quantities, and whether they can be interpreted on the basis of physics understanding. The methodology will be applied to large-eddy simulations, ground-based remote sensing observations, and satellite data. The results open new opportunities for stochastic-dynamic up- and down-scaling in a range of environmental science applications.