CUAHSI's 2019 Cyberseminar Series:
Host: CUAHSI and University of Washington
Studies of water and environmental systems are becoming increasingly complex and require the integration of knowledge across multiple domains. At the same time, technological advances have enabled the collection of massive quantities of data for studying earth system changes. Fully leveraging these datasets and software tools requires fundamentally new approaches in the way researchers store, access and process data. Waterhackweek, supported by the National Science Foundation Cybertraining program, serves the national interest by motivating a culture shift within the hydrologic and more broadly earth science communities toward open and reproducible software practices that will enhance interdisciplinary collaboration and increase capacity for addressing complex science challenges around the availability, risks and use of water. This cyberseminar series consists of presentations from the Cybertraining investigators and research software developers, each focusing on a specific water-related use cases, tool, or library. Topics will consist of both introductory and advanced concepts that are relevant to a wide range of water and informatics use-cases, e.g. publishing large datasets, running numerical models, organizing collaborative research projects, and meeting journal requirements by following open data standards. The goal of the 2019 series is to prepare the incoming Waterhackweek (March 25-29, 2019) participants for the in-person capstone event in which their skills and creativity will be used to address natural hazards, however, these topics and technologies are also relevant to the broader water science community. We welcome all undergraduate, graduate, and early career scientists to join us in this public cyberseminar series.
All talks take place on Thursdays at 1:00 p.m. ET.
Dates, Speakers, and Topics:
- January 17, 2019: Hydroshare and community data sharing tools | Daniella Tijerina, CUAHSI
- January 24, 2019: Jupyter notebooks and workflows on Hydroshare | Tony Castronova, CUAHSI
- January 31, 2019: Visualization of water datasets | Anthony Cannistra, University of Washington
- February 7, 2019: Data access and time-series statistics | Emilio Mayorga and Yifan Cheng, University of Washington
- February 14, 2019: Workflows for gridded climate datasets | Bart Nijssen and Diana Gergel, University of Washington
- February 21, 2019: Version control git/Github | Valentina Staneva, eScience Institute and University of Washington
- February 28, 2019: Landlab modeling framework and use cases | Erkan Istanbulluoglu, Christina Bandaragoda, Amanda Manaster, and Sai Siddhartha, University of Washington
- March 7, 2019: Tools for building Apps: Thethys | Rohit Khattar, Brigham Young University and Nathan Swain, Aquaveo
Registration is free! You must register for the series in order to attend. To register, click here.
After registering, you will receive a confirmation email containing information about joining the series.
Presentation Abstracts and Recordings
January 17, 2019: Daniella Tijerina, CUAHSI
Hydroshare and community data sharing tools
Data management, sharing, and publication are integral parts of a robust data management plan, a core requirement of all NSF funded research grants and many other funding agencies. This seminar will discuss some common challenges and present solutions for managing and sharing data using CUAHSI tools, specifically utilizing HydroShare. HydroShare is an online repository system for water data and models that aims to advance hydrologic science through enabling users to manage, share, and publish products resulting from their research and data collection. We will introduce attendees to approaches for managing current and archived data, collaboration within a research group, documentation of metadata, and publication. The webinar will center around tools and techniques within HydroShare to facilitate these activities, employing both discussions and demos.
January 24, 2019: Tony Castronova, CUAHSI
Jupyter notebooks and workflows on Hydroshare |
January 31, 2019: Anthony Cannistra, University of Washington
Visualization of water datasets
February 7, 2019: Emilio Mayorga and Yifan Cheng, University of Washington
Data access and time-series statistics
February 14, 2019: Bart Nijssen and Diana Gergel, University of Washington
Workflows for gridded climate datasets
February 21, 2019: Valentina Staneva, eScience Institute and University of Washington
Version control git/Github
February 28, 2019: Erkan Istanbulluoglu, Christina Bandaragoda, Amanda Manaster, and Sai Siddhartha, University of Washington
Landlab modeling framework and use cases
March 7, 2019: Rohit Khattar, Brigham Young University and Nathan Swain, Aquaveo
Tools for building Apps: Thethys