Loading…
NWDTW 2026
Venue: BCC - Mobile (33 Class / 60 Theater) clear filter
arrow_back View All Dates
Tuesday, July 21
 

1:00pm CDT

Water Data for the Nation Homepage: Introduction to Modernized Tools, Features, and Workflows
Tuesday July 21, 2026 1:00pm - 1:50pm CDT

This Show and Tell session provides an introductory tour of the modernized USGS Water Data for the Nation interface and tools available at waterdata.usgs.gov.
Tuesday July 21, 2026 1:00pm - 1:50pm CDT
BCC - Mobile (33 Class / 60 Theater)

2:00pm CDT

Data Discovery Tools
Tuesday July 21, 2026 2:00pm - 2:20pm CDT
An expanded overview of key Water Data for the Nation tools—USGS Explore, State Pages, and the National Water Dashboard.
Tuesday July 21, 2026 2:00pm - 2:20pm CDT
BCC - Mobile (33 Class / 60 Theater)

2:30pm CDT

Break
Tuesday July 21, 2026 2:30pm - 3:00pm CDT

Tuesday July 21, 2026 2:30pm - 3:00pm CDT
BCC - Mobile (33 Class / 60 Theater)

3:00pm CDT

Utilization of a new computational tool to correct for submersible pressure transducer misalignment
Tuesday July 21, 2026 3:00pm - 3:50pm CDT
Submersible pressure transducers such as Onset HOBO and Van Essen Diver data loggers can provide valuable stage data when compensated with barometric pressure readings. However, when submersible transducers are deployed in the air, they often prove unreliable as verification for stage records within set uncertainty limits. This unreliability comes from overlapping uncertainties of air pressure readings made by both the absolute and barometric pressure sensors. This talk proposes implementing a new computational method and tool during the compensation process involving the average misalignment between air readings made by both pressure sensors and adjusting all readings within a file by that misalignment. Preliminary results have been promising with most of the affected data aligning closer to verification stage records. This method will enable air-deployment of submersible pressure transducers to be more reliable as a method for peak-stage verification as well as increase the accuracy of air-deployed submersible pressure transducers without secondary data sources, such as tidal records and temporary gage deployments. To streamline the processing of data collected by submersible pressure transducers, we have developed a shiny app that implements this proposed new method automatically when processing air deployments in addition to allowing the processing of submersible pressure transducers via existing methods. This application is intended to produce more accurate data records by using a consistent compensation method between different sensor models while reducing the workload of the user processing the data.
Speakers
Tuesday July 21, 2026 3:00pm - 3:50pm CDT
BCC - Mobile (33 Class / 60 Theater)

4:00pm CDT

Monitor every river, lake, and reservoir in the US with WaterMAP - An Online Portal for Remotely Sensed Water Data
Tuesday July 21, 2026 4:00pm - 4:50pm CDT
WaterMAP (https://apps.usgs.gov/watermap) is an interactive web application that brings together comprehensive views of surface water conditions in rivers, lakes, and reservoirs, everywhere in the US. The application allows users to explore water conditions over time using both satellite observations and onsite measurements. We will demonstrate best practices to leverage and integrate each data catalog while highlighting the interactive mapping and visualization capabilities, as well as data search/filter/download functionalities. Live demos will present use cases to improve workflows for USGS hydrologic technicians and scientists. Data product owners and the development team will be available to answer questions.
Speakers
avatar for Chuck Hansen

Chuck Hansen

Hydrologist, USGS
Chuck Hansen is a Hydrologist with the California Water Science Center in Sacramento. He leads
a team of software and hardware engineers focusing on remote sensing and data delivery.
Tuesday July 21, 2026 4:00pm - 4:50pm CDT
BCC - Mobile (33 Class / 60 Theater)
 

Share Modal

Share this link via

Or copy link

Filter sessions
Apply filters to sessions.
Filtered by Date -