Summary

Developing ngen modeling frameworks for improved streamflow prediction in arid area.

Report

Official report

• The main manuscript is available here, Chapter 2
• Supplementary information to this report is available here.
• The long version of the manuscript is available here

Models

CFE-classic & CFE-ODE

https://github.com/NWC-CUAHSI-Summer-Institute/cfe_py

• BMI adaptation to ngen in development in the branch called add-bmi2. Those who wish to continue the work, please see this issue for the details.
• We raised our issue encountered while development in the NOAA-OWP/ngen repository (1) and (2).

Differentiable CFE (dCFE)

https://github.com/NWC-CUAHSI-Summer-Institute/dCFE

Differentiable LGAR (dpLGAR)

https://github.com/NWC-CUAHSI-Summer-Institute/dpLGAR

LGAR-C

https://github.com/NOAA-OWP/LGAR-C/

Execusion

Calibrate CFE

https://github.com/NWC-CUAHSI-Summer-Institute/calibrate-cfe

Datasets

Hydrofabric for CAMELS

https://www.hydroshare.org/resource/49de5be814fb4cab9448fdef99bf3a42/

Authors

• Tadd Bindas (Penn State University, University Park, Pennsylvania, @taddyb)
• Soelem Aafnan Bhuiyan (George Mason University, Fairfax, Virginia @soelemaafnan)
• Jeremy Rapp (Michigan State University, East Lansing, Michigan @rappjer1)
• Ryoko Araki (San Diego State University & University of California, Santa Barbara, @ry4git)
• Theme Lead: Dr. Jonathan M. Frame (University of Alabama, @jmframe)
• Academic Advisors of the students: Hilary McMillan, San Diego State University; Anthony Kendall, Michigan State University; Viviana Maggioni, George Mason University; Chaopeng Shen, Penn State University