Urban Climate Explorer

Overview

  • About
  • Install and Run

Tutorial

  • Setup
  • Example for CESM1
  • Example for CESM2
  • Example for CMIP6
  • Example for CESM2 Climate Change

Reference

  • How to create a JSON file?
  • How to create a mask for CESM1’s “urban areas”?
  • How to create a subgrid info file for CESM2’s CLM processing?
Urban Climate Explorer
  • Urban Climate Explorer
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Urban Climate Explorer

doi Documentation Status GitHub binder license

Explore and Emulate Urban Climate on AWS Cloud.

Author: Dr. Zhonghua Zheng

Overview

  • About
    • Introduction
    • Relevant Publications
    • Concept
    • Technical Workflow
  • Install and Run
    • Install
    • Run

Tutorial

  • Setup
  • Example for CESM1
    • Step 1: data analysis
    • Step 2: automated machine learning
  • Example for CESM2
    • Step 1: data analysis
    • Step 2: automated machine learning
  • Example for CMIP6
    • Step 1: load CESM2 data
    • Step 2: load CMIP6 data
    • Step 3: compare CESM2 training and CMIP6 data
    • Step 4: automated machine learning
    • Step 5: visualization
  • Example for CESM2 Climate Change
    • Step 1: load future data (2066-01-02 to 2085-12-31)
    • Step 2: load present data (2016-01-02 to 2035-12-31)
    • Step 3: compare future and present training data
    • Step 4: automated machine learning

Reference

  • How to create a JSON file?
  • How to create a mask for CESM1’s “urban areas”?
  • How to create a subgrid info file for CESM2’s CLM processing?

How to ask for help?

The GitHub issue tracker is the primary place for bug reports.

Acknowledgments

We thank AWS for providing AWS Cloud Credits for Research.

We would like to acknowledge high-performance computing support from Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR’s Computational and Information Systems Laboratory, sponsored by the National Science Foundation.

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© Copyright 2022, Zhonghua Zheng.

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