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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20190731T213613Z
LOCATION:Wrigley
DTSTART;TZID=America/Chicago:20190730T163000
DTEND;TZID=America/Chicago:20190730T170000
UID:pearc_PEARC19_sess187_stu_pap121@linklings.com
SUMMARY:Reproducible Hydrological Modeling with CyberGIS-Jupyter: A Case S
 tudy on SUMMA
DESCRIPTION:Reproducible Hydrological Modeling with CyberGIS-Jupyter: A Ca
 se Study on SUMMA\n\nLyu, Yin, Padmanabhan, Choi, Goodall...\n\nCyberGIS-J
 upyter is a cyberGIS framework for achieving data- intensive, reproducible
 , and scalable geospatial analytics using Jupyter Notebook based on advanc
 ed cyberinfrastructure. As a cutting-edge hydrological modeling framework,
  the Structure for Unifying Multiple Modeling Alternative (SUMMA) function
 s as a unified approach to process‐based modeling. The purpose of th
 is research is to investigate the feasibility of coupling CyberGIS- Jupyte
 r with SUMMA to realize reproducible hydrological modeling. CyberGIS-Jupyt
 er is employed to systematically integrate advanced cyberinfrastructure, i
 ncluding two high- performance computers – Virtual ROGER and XSEDE Comet, 
 data management, and execution and visualization of SUMMA- based modeling.
  By taking advantage of CyberGIS-Jupyter, users can easily tune different 
 parameters for a SUMMA model and submit computational jobs for executing t
 he model on HPC resources without having to possess in-depth technical kno
 wledge about cyberGIS or cyberinfrastructure. Computational experiments de
 monstrate that the integration of CyberGIS-Jupyter and SUMMA achieves a hi
 gh-performance and easy-to-use implementation for reproducible SUMMA-based
  hydrological modeling.\n\nPaper\nStudent Technical Paper, Applications, S
 cience Gateways
URL:https://pearc19.conference-program.com/presentation/?id=stu_pap121&ses
 s=sess187
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