C13J:
Reproducible Science in Water Resources: Cryosphere and Hydrology Posters


Submit an Abstract to this Session


Session ID#: 51801

Session Description:
Reproducible science covers three broad areas: 1) field experiment for measurement data reproducibility, 2) model reproducibility, can other researchers duplicate model outputs and 3) conclusion reproducibility, can one reach similar conclusion by following post-processing, statistical analyses and documentation. This session will address the benefits, costs, methods, and applications of reproducible science in cryosphere and hydrology to advance the fields of science, inform water management decisions, and potential public impacts. Topics can include techniques to address reproducibility in these three broad areas, current software technologies or cyberinfrastructure that will aid in reproducible science for sharing information, standardization of policies for publication of code and data, and examples or applications of reproducible science in water resources that provide solutions to the broader community.
Primary Convener:  Scott Havens, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States
Conveners:  Danny G Marks, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States, Mukesh Kumar, University of Alabama, Civil, Construction and Environmental Engineering, Tuscaloosa, AL, United States and Christina Bandaragoda, University of Washington, Department of Civil and Environmental Engineering, Seattle, United States
Primary Liaison:  Scott Havens, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States
Chairs:  Scott Havens, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States and Christina Bandaragoda, University of Washington, Department of Civil and Environmental Engineering, Seattle, United States
OSPA Liaison:  Scott Havens, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States

Cross-Listed:
  • H - Hydrology
  • IN - Earth and Space Science Informatics
Index Terms:

0798 Modeling [CRYOSPHERE]
1805 Computational hydrology [HYDROLOGY]
1920 Emerging informatics technologies [INFORMATICS]
1978 Software re-use [INFORMATICS]

Abstracts Submitted to this Session:

A Framework for Reproducible Research in Computational Hydrology using Python (449239)
Bidhyananda Yadav, University of Florida, Civil and Coastal Engineering, Ft Walton Beach, FL, United States and Kirk Hatfield, University of Florida, Civil and Coastal Engineering, Gainesville, FL, United States
Leveraging Scientific Cyberinfrastructures to Achieve Computational Hydrologic Model Reproducibility (452160)
Bakinam Tarik Essawy1, Jonathan L Goodall2, Daniel Voce1, YoungDon CHOI1, Mohamed M Morsy3, Jeffrey Michael Sadler4, Zhihao Yuan5 and Tanu Malik5, (1)University of Virginia, Charlottesville, VA, United States, (2)University of Virginia, Department of Civil and Environmental Engineering, Charlottesville, VA, United States, (3)University of Virginia Main Campus, Charlottesville, VA, United States, (4)Oaklahoma State University, Biosystems & Agricultural Engineering, Stillwater, United States, (5)DePaul University, Chicago, IL, United States
Sharing Science with Journals, Peers, and Skeptics: A Reproducible Approach in the Era of Big Data (381977)
Andrew R Hedrick1,2, Scott Havens1, Micah Johnson1, Mark Robertson1, Micah Sandusky1, Ernesto Trujillo1,3 and Danny G Marks1, (1)USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States, (2)Boise State University, Department of Geosciences, Boise, ID, United States, (3)University of California Merced, Sierra Nevada Research Institute, Merced, CA, United States
Striving for Reproducibility in Hydrologic Science: Lessons Learned from Developing the TopoFlow Hydrologic Model (Invited) (413083)
Scott Dale Peckham, University of Colorado Boulder, INSTAAR, Boulder, United States

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