Welcome to our lab manual!

Warning

This site is still under construction. If you see any mistakes or would like to request any additional material, please submit a new Issue on GitHub.

The purpose of this site is to help new students and collaborators get up to speed on the research methods/tools used by the Reed Group. This page is designed and maintained by other graduate students and post docs, and is intended to serve as a living document.

This manual was created using the Jupyter Books Python package, and is hosted with GitHub Pages. You can find our source code at https://github.com/reedgroup/reedgroup.github.io.

• 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
  • Guide for M/Q, A and B Exams
• Computational Resources
  • Cluster Basics
  • Crash Course in Python
  • Machine Learning Resources
  • Artificial Intelligence (AI) Tools and Resources
  • Introduction to Linux
  • Introduction to Git & GitHub
  • Creating and Using GitHub Meta Repositories
  • Building and deploying websites with Python
  • Long Term Storage
  • Why Globus?
  • How to transfer data with Globus
• Software
  • Borg MOEA
  • WaterPaths
  • Pywr-DRB
  • CALFEWS
  • SALib
  • Rhodium
  • MOEA Framework
  • J3 Visualization
  • statemodify
• 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
  • Creative Tools and Software
    • PowerPoint
    • Photoshop
    • Adove Illustrator
    • InkScape
• Figure Library
  • Parallel Coordinates Plots
  • Parallel Coordinate Plots with KDEs
  • Synthetic Streamflow Diagnostic Figure Library
  • Scatter plots and colorbars using Matplotlib
  • 3D scatter plots, point sizes, and positioning legends
  • MOEA Diagnostics
  • T-cup diagrams
  • Spatial Plotting
    • Making Watershed Maps
    • Clipping Raster Data
    • Animated Spatial Maps
    • Choropleth maps
• 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