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CDI Monthly Meeting - 20190911

The Community for Data Integration (CDI) meetings are held the 2nd Wednesday of each month from 11:00 a.m. to 12:30 p.m. Eastern Time.


Meeting Recording

Meeting recordings are available to CDI Members approximately 24 hours after the completion of the meeting. Please log in to view the recording. If you would like to become a member of CDI, email cdi@usgs.gov.

Agenda (in Eastern time)

11:00a Opening and Welcome - Viv Hutchison, Science Analytics and Synthesis, USGS, CDI_20190911_OpeningSlides.pdf

11:15a Working Group Announcements (see opening slides above)

11:25a USGS Water Prediction Work Program (2WP) - Katie Skalak and David Lesmes, USGS

11:55a National Hydrologic Geospatial Fabric: a framework for the integration of water information - Roland Viger, USGS 

12:30p  Adjourn

Abstracts

USGS Water Prediction Work Program (2WP)

The Water Prediction Work Program (2WP) will take advantage of the USGS observational network and the wide body of process-based research conducted on multiple temporal and spatial scales to guide prediction of Earth surface processes that govern water resources and water quality. The primary goals of the program are to: 1) improve, augment, and integrate our predictive water modeling capabilities over a range of spatial (watershed to national) and temporal (monthly to decadal) scales. This includes creation, integration, and/or advancement of capacity for prediction of surface and subsurface hydrologic processes, water temperature, surficial processes (erosion and entrainment of sediment and constituents), in channel transport of constituents, anthropogenic influences, and ecological processes and 2) cultivate a broad community to enable productive research collaborations. This includes establishment of a shared computing environment to support the nation’s water modeling community and collective water prediction capacity through shared data, models, interfaces, and forums.

Katie Skalak is a research hydrologist in the Earth Surface Processes Division of the Water Mission Area. She is the Science Advisor for the Water Prediction. 

David Lesmes is the Program Manager for Water Prediction who has recently joined the USGS Water Mission Area from the DOE.


National Hydrologic Geospatial Fabric: a framework for the integration of water information

The WMA is in the process of building capacity for prediction of water quantity, quality, and availability at scales ranging from individual processes to the entire Nation. As part of that, the NHGF project has been initiated to develop a geospatial information architecture that helps develop and aggregate content relevant for hydrologic modeling and other kinds of analysis at a variety of scales. The NHGF project will contribute to and build on existing efforts to the maximum extent possible. In particular, the NHGF seeks to organize and access information on the basis of the National Hydrography Infrastructure.  Through a focus on community building and coordination, the NHGF will help local, regional, and national water science analyses by providing initial content, approaches and tools, and protocols for the subsequent publication of results into more spatially-capable forms, through the NHGF, supporting FAIR best practices. The presentation will provide an overview of major activities of the NHGF project related to hydroinformatics best practices and standards, organizing and manipulating information on the basis of hydrography, and the assembling of high-value data themes. [NHGF Charter]

Roland Viger is a Research Geographer and the Chief of the Branch of Geo-Intelligence with the Water Mission Area, working on the analysis and integration of geospatial information into quantitative analyses of water resources.

Presentations

Presentation: Slides are available to CDI Members. Please log in to download the slides. If you would like to become a member of CDI, email cdi@usgs.gov.

Highlights


Attendees

A Participant Report is available to CDI Members. Please log in to download the report. If you would like to become a member of CDI, email cdi@usgs.gov.