Clearing your Desk! Software and Data Services for Collaborative Web Based GIS Analysis

Can your desktop computer crunch the large GIS datasets that are becoming increasingly common across the geosciences? Do you have access to, or the know how to, take advantage of advanced high performance computing (HPC) capability? Web based cyberinfrastructure takes work off your desk or laptop computer and onto infrastructure or "cloud" based data and processing servers. This talk will describe the HydroShare collaborative environment and web based services being developed to support the sharing and processing of hydrologic data and models. HydroShare supports the storage and sharing of a broad class of hydrologic data including time series, geographic features and rasters, multidimensional space-time data and structured collections of data representing river geometry. Web service tools and a python client library provide researchers with access to high performance computing resources without requiring them to become HPC experts. This reduces the time and effort spent in finding and organizing the data required to prepare the inputs for hydrologic models and facilitates the management of online data and execution of models on HPC systems. This talk will illustrate web and client based use of data services that support the delineation of watersheds to define a modeling domain, then extract terrain and land use information to automatically configure the inputs required for hydrologic models. These services support the Terrain Analysis Using Digital Elevation Model (TauDEM) tools for watershed delineation and generation of hydrology-based terrain information such as wetness index and stream networks. These services also support the derivation of inputs for the Utah Energy Balance snowmelt model used to address questions such as how climate, land cover and land use change may affect snowmelt inputs to runoff generation. These cases serve as examples for how this approach can be extended to other models to enhance the use of web and data services in the geosciences.

Presentation at Kansas University GIS Days November 18, 2015

您的台式计算机能否处理地理科学领域日益普及的大型地理信息系统（GIS）数据集？您是否能够访问，或具备利用高级高性能计算（HPC）能力的知识？基于网络的计算基础设施将工作从您的桌面或笔记本电脑转移至基于基础设施或“云”的数据和计算服务器。本次演讲将介绍HydroShare协作环境和正在开发中的基于网络的服务的描述，旨在支持水文数据和模型的共享与处理。HydroShare支持广泛类别的水文数据的存储和共享，包括时间序列、地理特征和栅格数据，多维时空数据和代表河流几何的标准化数据集合。网络服务工具和Python客户端库为研究人员提供了访问高性能计算资源的能力，而无需他们成为HPC专家。这减少了寻找和组织准备水文模型输入所需数据的时间和精力，并促进了在线数据的管理和HPC系统上模型的执行。本次演讲将展示基于网络和客户端的数据服务使用，这些服务支持流域划界以定义建模区域，然后提取地形和土地利用信息来自动配置水文模型所需的输入。这些服务支持使用数字高程模型（DEM）进行地形分析（TauDEM）工具进行流域划界和生成基于水文的地形信息，如湿润指数和河流网络。这些服务还支持推导出用于解决气候变化、土地覆盖和土地利用变化可能如何影响径流生成中的融雪输入的犹他能量平衡雪融模型（Utah Energy Balance snowmelt model）的输入。这些案例作为如何将这种方法扩展到其他模型以增强地理科学中网络和数据服务使用的示例。

此演讲于2015年11月18日在堪萨斯大学GIS日上发表。