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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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Contents
  • Quick links
  • Policies
    • Coursework attendance policy
    • Projects attendance policy

Quick links and policies

Contents

  • Quick links
  • Policies
    • Coursework attendance policy
    • Projects attendance policy

Quick links and policies#

Quick links#

Course materials: https://comptools.climatematch.io/

Portal: https://portal.neuromatchacademy.org/

Website: https://academy.climatematch.io/

Crowdcast:

Code of Conduct: https://github.com/NeuromatchAcademy/precourse/blob/main/CODE_OF_CONDUCT.md

Code of Conduct Violations Form: https://airtable.com/shrezDSthWPlJ4Rpy

Project Exemption Form: https://airtable.com/shrupmgfGax5qeAuK

Attendance Exemption Form: https://airtable.com/shr7CB9qLcIVejpUd

Policies#

Coursework attendance policy#

Students who participate in this course will gain a certificate of completion for the coursework. Students are allowed to miss two days if necessary and if they communicate that with their teaching assistant. If there are exceptional circumstances that force a student to miss class for reasons completely beyond their control, such as severe illness, electricity blackouts, etc, they can request to get the certificate despite missing more than two days by filling out the attendance exemption form (https://airtable.com/shr7CB9qLcIVejpUd) at least two days prior to the end of course. Please note these requests may not be granted.

Projects attendance policy#

Projects are an integral part of the Neuromatch Academy experience. Students who participate in projects and miss no more than two days of projects work will gain a certificate of completion for the projects.

If there are exceptional circumstances that make it difficult to attend the projects portion of the course, students can request to drop out of projects by filling out the project exemption form (). If their request is granted, the student can continue to attend the coursework sections and gain a coursework certificate if eligible (see above), but not participate in the projects work.

If the student participates in projects but misses more than two days due to exceptional circumstances, they can request to get the projects certificate anyway by filling out the attendance exemption form (https://airtable.com/shr7CB9qLcIVejpUd) at least two days prior to the end of course. Please note these requests may not be granted.

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Prerequisites and preparatory materials for Computational Tools for Climate Science

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.