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A Jupyter Book on using computers, physics, and data to amplify human values, scientific knowledge of our collective futures

License: Apache License 2.0

Jupyter Notebook 30.58% CSS 19.26% JavaScript 28.34% HTML 19.21% Python 0.31% TeX 2.30%

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intelligent-earth's Issues

HydroLearn Module August Tasklist

To Discuss

  • Size of figures

  • Acronyms and titles

  • Hyperlinks to static and interactive notebooks

  • Hyperlinks to external pages vs. incorporating as HL pages

  • Schedule Review with HL team

To Coordinate

  • Student testing of module

  • Proofreading

  • Scheduling HydroLearn team review

To Edit

  • Explore flow routing - add more content from KI paper

  • Explore flow routing - add template example

To Outline

  • Build your own Observatory - work with multiple sources of climate data Climate Change
    Phuong et al. 2019
    Bandaragoda et al., 2019; 2020
  1. climate change and gridded data
  • Slippery Civic Future's - multi-hazard coupled modeling landslide, fire, Landlab Landslide Model
    (add to UC Boulder teaching materials for testing in CSDMS)
  1. Overview: synthetic models, DHSVM, Landlab, unit testing
  2. regional model with lognormal data driven spatial mean for 100 years
  3. catchment scale model with annual distribution of storm data
  4. fire

**Diffusion of Innovation Plan: CSDMS ** September 3

  1. public data online - scaping, mapping
  2. NWM data
  3. HydroShare data
  4. Bonus (clinical data)
  5. Health Risk Assessment Modeling
    Hurricane case studies for Disaster GeoHealth

Diffusion of Innovation Plan: RAPID August 13 - 23

  • RAPID workshop for Caribbean
  • RAPID workshops for North Carolina & Hurricane Florence & COVID-19 in September

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