Series: Making Waves in Water Science - Open Source Tools

November 1 - November 15, 2022 / 12:00 PM - 1:00 PM ET


Registration/Application

Host(s)/Organizers(s)

Clara Cogswell
CUAHSI, Community Support Hydrologist

CUAHSI’s community support hydrologist Clara Cogswell has convened this webinar series in order to foster discussion within the water science community around open source tools; and celebrate scientists who lower the barrier to entry for water research by making their tools open source. CUAHSI hopes that through this series, speakers and participants will discuss different approaches to open source development, find new intersections for collaboration, be inspired by novel use cases as well as new developments on older works.

This webinar series highlights researchers and scientists who are developing open source tools for use within the water science community and across research disciplines, and explores the tools they have created. This series will feature 10 minute lightning talks from 13 different speakers who are actively working to create open source tools across a wide spectrum of use cases. Each session will feature 4 speakers, and include a question discussion period at the end.

Presentations from this Series

Pipelines, Portals, and Visualizations

Nov 1, 2022 / 12:00 PM - 1:00 PM ET

CUAHSI Cyberseminar Series: Making Waves in Water Science: Open Source Tools

Four speakers present tools for hydrologic data pipelines, democratizing steam metabolism, open water models, and experimenting with National Water Model data.

Data and computing accessibility across scales

Nov 8, 2022 / 12:00 PM - 1:00 PM ET

CUAHSI Cyberseminar Series: Making Waves in Water Science: Open Source Tools

Three speakers present tools for data retrieval, macrosheds, and glacial thickness estimation.

Novel Model Approaches

Nov 15, 2022 / 12:00 PM - 1:00 PM ET

CUAHSI Cyberseminar Series: Making Waves in Water Science: Open Source Tools

Four speakers present tools for web based programming, models for coupled Natural Human systems, Python tools for evaluating Hydrologic models, and the National Snow Model.