Hydroinformatics Theme

Projects within the Hydroinformatics theme will work on development of spatiotemporal information architecture to integrate hydrologic, hydrodynamic, hydrographic, and hydrometric science. The attached documents in the content section of this resource elaborate on the specific research questions around which projects will be structured, including project goals, potential approaches, and supplementary materials for pre-SI preparation. Theme Leads: Dave Blodgett (US Geological Survey) Kyle Mandli (Columbia University) Attached Research Questions: RQ1 - Reproducible modeling environment RQ2 - Utilizing multiple sources of information for continuous topobathymetry水信息学（Hydroinformatics）主题下的相关项目将致力于构建时空信息架构，以整合水文、水动力、水道测量以及水文监测相关科学研究。本资源内容板块所附带的文档，详细阐释了项目将围绕开展的具体研究问题，涵盖项目目标、潜在研究路径以及预SI准备的补充材料。 主题负责人： 戴夫·布洛杰特（Dave Blodgett，美国地质调查局（US Geological Survey）） 凯尔·曼德利（Kyle Mandli，哥伦比亚大学（Columbia University）） 附带研究问题： RQ1 - 可复现建模环境 RQ2 - 利用多源信息开展连续地形水深测量（topobathymetry）