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Climatematch Academy: Computational Tools for Climate Science
  • Introduction
  • Schedule
    • General Schedule
    • Shared calendars
  • Technical Help
    • Using jupyterbook
      • Using JupyterHub
      • Using Google Colab
      • Using Kaggle
    • Using discord
  • Quick links and policies
  • Prerequisites and preparatory materials for Computational Tools for Climate Science

Fundamentals

  • Climate System Overview (W1D1)
    • Intro
    • Tutorial 1: Creating DataArrays and Datasets to Assess Global Climate Data
    • Tutorial 2: Selection, Interpolation and Slicing
    • Tutorial 3: Opening and Plotting netCDF Data
    • Tutorial 4: Arithmetic and Aggregation Methods
    • Tutorial 5: Xarray Data Analysis and Climatology
    • Tutorial 6: Compute and Plot Temperature Anomalies
    • Tutorial 7: Other Computational Tools in Xarray
    • Tutorial 8: Masking with One Condition
    • Tutorial 9: Masking with Multiple Conditions
    • Outro
    • Suggested Further Reading
    • Day Summary
  • Good Research Practices (Projects)
    • Intro
    • Tutorial 1: Finding a Phenomenon and Asking a Question About It
    • Tutorial 2: Doing a Literature Review
    • Tutorial 3: Identifying the Basic Ingredients
    • Tutorial 4: Formulating a Hypothesis
    • Tutorial 5: Drafting the Analysis
    • Tutorial 6: Implementing the Analysis
    • Tutorial 7: Interpreting the Results
    • Tutorial 8: Communicating Your Conclusions
    • Outro
    • Day Summary

Climate Data

  • State of the Climate Ocean and Atmosphere Reanalysis (W1D2)
    • Intro
    • Tutorial 1: Calculating ENSO with Xarray
    • Tutorial 2: A Lot of Weather Makes Climate - Exploring the ERA5 Reanalysis
    • Tutorial 3: Atmospheric Circulation
    • Tutorial 4: Oceanic Wind-driven Circulation
    • Tutorial 5: Thermohaline Circulation
    • Tutorial 6: Ocean Heat Content
    • Outro
    • Suggested Further Reading
    • Day Summary
  • Remote Sensing Land Ocean and Atmosphere (W1D3)
    • Intro
    • Tutorial 1: Introduction to Remote Sensing
    • Tutorial 2: Exploring Satellite Climate Data Records
    • Tutorial 3: Visualizing Satellite CDR - Global Vegetation Mapping
    • Tutorial 4: Understanding Climatology Through Precipitation Data
    • Tutorial 5: Calculating Anomalies Using Precipitation Data
    • Tutorial 6: Large Scale Climate Variability - ENSO
    • Tutorial 7: Impact of Climate Variability - Precipitation
    • Tutorial 8: Comparing Satellite Products With In Situ Data
    • Outro
    • Suggested Further Reading
    • Day Summary
  • Paleoclimate (W1D4)
    • Intro
    • Tutorial 1: Paleoclimate Proxies
    • Tutorial 2: Reconstructing Past Changes in Ocean Climate
    • Tutorial 3: Reconstructing Past Changes in Terrestrial Climate
    • Tutorial 4: Reconstructing Past Changes in Atmospheric Climate
    • Tutorial 5: Paleoclimate Data Analysis Tools
    • Tutorial 6: Spectral Analysis of Paleoclimate Data
    • Tutorial 7: Assessing Climate Forcings
    • Tutorial 8: Paleoclimate Models
    • Tutorial 9: Paleoclimate Reanalysis Products
    • Outro
    • Suggested Further Reading

Climate Future

  • Climate Modeling (W1D5)
    • Intro
    • Tutorial 1 : A Simple Greenhouse Model
    • Tutorial 2 : Energy Balance
    • Tutorial 3 : A Zero-Dimensional Energy Balance Model
    • Tutorial 4: Climate Feedbacks
    • Tutorial 5: Vertical Structure of the Atmosphere
    • Tutorial 6: Radiative-Convective Equilibrium
    • Tutorial 7: Introduction to Earth System Models
    • Outro
    • Suggested Further Reading
  • Future Climate - IPCC I Physical Basis (W2D1)
    • Intro
    • Tutorial 1: Creating Maps of CMIP6 Earth System Model (ESM) Projections
    • Tutorial 2: Time Series, Global Averages, and Scenario Comparison
    • Tutorial 3: Multi-model Ensembles
    • Tutorial 4: Quantifying Uncertainty in Projections
    • Tutorial 5: Internal Climate Variability
    • Tutorial 6: Synthesising & Interpreting Diverse Data Sources
    • Outro
    • Suggested Further Reading
  • Future Climate - IPCC II & III Socio-Economic Basis (W2D3)
    • Intro
    • Tutorial 1:
    • Tutorial 2: Transition Goals and Integrated Assessment Models
    • Tutorial 3: IAMs and SSPs
    • Tutorial 4: Public Opinion on the Climate Emergency and Why it Matters
    • Outro
    • Tutorial 2 Further Reading

Climate Response

  • Climate Response - Extremes & Variability (W2D4)
    • Intro
    • Tutorial 1: Distributions
    • Tutorial 2: What is an Extreme Event? Empirical Return Levels
    • Tutorial 3: Extreme Value Analysis - the GEV Distribution
    • Tutorial 4: Return Levels Using Normal and GEV Distributions
    • Tutorial 5: Non-stationarity in Historical Records
    • Tutorial 6: Scenario-dependence of Future Changes in Extremes
    • Tutorial 7: Non-Stationarity in the EVT-framework
    • Tutorial 8: Thresholds
    • Outro
    • Suggested Further Reading
  • Climate Response - Adaptation Impact (W2D5)
    • Intro
    • Tutorial 1: Linear and Logistic Regression
    • Tutorial 2: Regression and Decision Trees on the Dengue Fever Dataset
    • Tutorial 3: Logistic Regression and ANN on the Remote Sensing Crop Dataset
    • Tutorial 4: Exploring other applications
    • Outro
    • Suggested Further Reading

Project Booklet

  • Introduction
  • Daily guide for projects
  • Project materials
    • Sea Level Rise
    • Ocean Acidification
    • The Impact of ENSO on Precipitation and Temperature
    • Regional Precipitation Variability and Extreme Events
    • Heatwaves: Assessing the Dynamic Interactions of the Atmosphere and Land
    • Monitoring and Mapping Wildfires Using Satellite Data
    • Changes in Land Cover: Albedo and Carbon Sequestration
  • Continuing your project after the course

Professional Development

  • Introduction
  • Impact Talks
  • Mentor Meetings
  • Career Features
  • Career Panels
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  • repository
  • open issue
  • .md

Suggested Further Reading

Suggested Further Reading#

  • https://www.climatechange.ai/

  • https://deeplearning.neuromatch.io/tutorials/intro.html

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By Climatematch

The contents of this repository are shared under the Creative Commons Attribution 4.0 International License. Software elements are additionally licensed under the BSD (3-Clause) License.