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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
    • Guide for M/Q, A and B Exams
  • 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
    • 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
  • Repository
  • Open issue
  • .md

Training

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

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statemodify

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Suggested training schedule

By The Reed Group at Cornell CEE

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