P2C2: Upper Colorado River Basin Snowpack Reconstructions Incorporating Climate Variability

该研究小组的目标是利用海面温度（SST）的变化和树木年轮年表重建上科罗拉多河流域（UCRB）的积雪。研究人员假设，通过使用SST，可以实现海洋-大气变化的完整表示。 研究人员还将使用奇异值分解（SVD）来识别太平洋和大西洋SST和UCRB积雪的耦合区域，从而确定区域水文变率。主要的更广泛的影响包括支持研究生，在既定的公共网站上传播研究结果，并与水资源竞技场的公共和私人利益相关者合作。

The research team aims to reconstruct Upper Colorado River Basin (UCRB) snowpack using sea surface temperatures (SST) variability and tree-ring chronologies. The researchers hypothesize that by using SSTs, a complete representation of ocean-atmosphere variability can be achieved. The researchers will also use Singular Value Decomposition (SVD) to identify coupled regions of Pacific and Atlantic Ocean SSTs and UCRB snowpack and, hence, regional hydrologic variability.The primary broader impacts involve supporting a graduate student, disseminating research results on an established public website, and working with public and private stakeholders in the water resource arena.