Skagit River Gridded HydroClimatology Code

This work improves the Skagit Climate Science Consortium to model the Skagit (SC2DHSVM2015) calibration in the Sauk-Suiattle Basin. We use the spatially-distributed DHSVM glacio-hydrology model (Frans, 2015; Naz et al. 2014) for predicting
hydrologic states (glaciers, snow, soil moisture, streamflow) within modeled basins for historical and future climate conditions.  This work builds on the DHSVM-glacier model supported by a 2014-2015 collaboration managed by the Skagit Climate Science Consortium to model the Skagit (SC2DHSVM2015).

This work is intended to by used as an input for streamflow temperatures that are modeled and mapped at the scale of stream links using the DHSVM- RBM glacier model, and a sediment module driven by hydrology using the concept of sediment transport capacity, and/or rating curves to give a sediment load associated with each flood.

Use this resource to launch Jupyter notebooks that use the latest versions of OGH library (current version included).

本研究旨在提升萨瓜特气候科学联合会对萨瓜特（SC2DHSVM2015）校准的建模能力，以模拟萨乌克-斯威特莱特盆地。本研究采用空间分布式DHSVM冰川水文模型（Frans, 2015；Naz等，2014），用于预测历史和未来气候条件下模拟流域内的水文状态（冰川、积雪、土壤湿度、河流流量）。本工作基于2014-2015年由萨瓜特气候科学联合会的协作支持下的DHSVM-冰川模型，进一步发展了SC2DHSVM2015的建模。该研究旨在作为流连温度模拟和映射的输入，流连温度模拟和映射采用DHSVM-RBM冰川模型，以及由水文驱动、基于泥沙输移能力概念和/或流量曲线的泥沙模块，为每次洪水提供相应的泥沙负荷。利用本资源启动Jupyter笔记本，使用OGH库的最新版本（包括当前版本）。