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Welcome to our lab manual!
Graduate Student Resources
Housing Around Cornell
A guide to Ithaca and Cornell for Visiting Scholars
Course List
Conferences
Presentation Templates
Writing your first paper
Contributing to the Water Programming Blog
Paper Repository Templates
Scheduling
Organizational Tools
Citation and Reference Management Tools
Computational Resources
Cluster Basics
Crash Course in Python
Machine Learning Resources
Introduction to Linux
Introduction to Git & GitHub
Creating and Using GitHub Meta Repositories
Building and deploying websites with Python
Long Term Storage
Software
Borg MOEA
WaterPaths
Pywr-DRB
CALFEWS
SALib
Rhodium
MOEA Framework
J3 Visualization
Training
Suggested training schedule
Borg and MOEA Diagnostics
Getting starting with MOEAs
Introduction to MOEA Diagnostics
Multi-Master Borg MOEA Parallel Scaling Diagnotics
The Advanced Guide to Borg MOEA and Its Diagnostics
Introductory Case Studies
The Shallow Lake Problem
The Fisheries Game
Scenario Discovery and Sensitivity Analysis
Time-Varying Sensitivity Analysis
Intro to Scenario Discovery
Synthetic Data Generation
Synthetic Streamflow Generation
Synthetic Weather Generation
Advanced Methods and Case Studies
Pywr-DRB Training
WaterPaths
Getting Started with StateMod
QPPQ Streamflow Prediction in Ungauged Basins
Intro to MORDM
Data Management
Data types and compression methods
Figure Library
Parallel Coordinates Plots
Synthetic Streamflow Diagnostic Figure Library
Scatter plots and colorbars using Matplotlib
MOEA Diagnostics
Contributing to this lab manual
Instructions on contributing to the lab manual
Markdown example
Jupyter notebook example
Training Title
Frequently-asked questions (FAQs)
Water Programming Blog Post Catalog
List of Paper Repositories
Repository
Open issue
.md
.pdf
Synthetic Data Generation
Synthetic Data Generation
#
Synthetic Streamflow Generation
Synthetic Weather Generation