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  • Schedule
  • Technical Help
  • Quick links and policies
  • Prerequisites and preparatory materials for Computational Tools for Climate Science
  • Climate System Overview (W1D1)
  • Good Research Practices (Projects)
  • Ocean-Atmosphere Reanalysis (W1D2)
  • Remote Sensing (W1D3)
  • Paleoclimate (W1D4)
  • Introduction to Climate Modeling (W1D5)
  • An Ensemble of Futures (W2D1)
  • The Socioeconomics of Climate Change (W2D2)
  • Extremes and Variability (W2D3)
  • AI and Climate Change (W2D4)
  • Introduction
  • Project Day keynote (W2D5)
  • Daily guide for projects
  • Project materials
  • Continuing your project after the course
  • Past projects
  • Introduction
  • Mentorship Program
  • Impact Talks
  • Mentor Meetings
  • Career Features
  • Career Panels

Site Navigation

  • Schedule
  • Technical Help
  • Quick links and policies
  • Prerequisites and preparatory materials for Computational Tools for Climate Science
  • Climate System Overview (W1D1)
  • Good Research Practices (Projects)
  • Ocean-Atmosphere Reanalysis (W1D2)
  • Remote Sensing (W1D3)
  • Paleoclimate (W1D4)
  • Introduction to Climate Modeling (W1D5)
  • An Ensemble of Futures (W2D1)
  • The Socioeconomics of Climate Change (W2D2)
  • Extremes and Variability (W2D3)
  • AI and Climate Change (W2D4)
  • Introduction
  • Project Day keynote (W2D5)
  • Daily guide for projects
  • Project materials
  • Continuing your project after the course
  • Past projects
  • Introduction
  • Mentorship Program
  • Impact Talks
  • Mentor Meetings
  • Career Features
  • Career Panels
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Ctrl+K
  • Introduction
  • Schedule
    • General Schedule
    • Shared calendars
  • Technical Help
    • Using jupyterbook
      • 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
    • Bonus 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

Past and Present Climate

  • Ocean-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
    • Bonus Tutorial 6: Ocean Heat Content
    • Outro
    • Suggested Further Reading
    • Day Summary
  • Remote Sensing (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
    • Bonus 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
    • Bonus Tutorial 7: Assessing Climate Forcings
    • Bonus Tutorial 8: Paleoclimate Models
    • Tutorial 9: Paleoclimate Reanalysis Products
    • Outro
    • Suggested Further Reading
    • Day Summary

Climate Future

  • Introduction to Climate Modeling (W1D5)
    • Intro
    • Tutorial 1: Radiation and the Greenhouse Effect
    • Tutorial 2: Energy Balance
    • Tutorial 3: A Zero-Dimensional Energy Balance Model
    • Bonus Tutorial 4: Climate Feedbacks
    • Bonus Tutorial 5: Vertical Structure of the Atmosphere
    • Bonus Tutorial 6: Radiative-Convective Equilibrium
    • Tutorial 7: Introduction to CMIP6 Earth System Models
    • Tutorial 8: Time Series, Global Averages, and Scenario Comparison
    • Outro
    • Suggested Further Reading
    • Day Summary
  • An Ensemble of Futures (W2D1)
    • Intro
    • Tutorial 1: Internal Climate Variability and Single-model Ensembles
    • Tutorial 2: Future climate scenarios & Multi-model Ensembles
    • Tutorial 3: Quantifying Uncertainty in Projections
    • Tutorial 4: Synthesising & Interpreting Diverse Data Sources
    • Outro
    • Suggested Further Reading
    • Day Summary
  • The Socioeconomics of Climate Change (W2D2)
    • Intro
    • Tutorial 1: Orienting inside a “Climate Solution” Simulator
    • Tutorial 2: Fossil Fuel Emissions, Growth, and Damage
    • Tutorial 3: The Temporal Dimension of Actions
    • Tutorial 4: The Shared Socio-economic Pathways
    • Tutorial 5: Mapping the Narrative Space
    • Bonus Tutorial 6: Create your Socio-economic Scenario
    • Outro
    • Tutorial 2 Further Reading
    • Day Summary

Climate Response

  • Extremes and Variability (W2D3)
    • 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
    • Bonus Tutorial 7: Non-Stationarity in the EVT-framework
    • Bonus Tutorial 8: Thresholds
    • Outro
    • Suggested Further Reading
    • Day Summary
  • AI and Climate Change (W2D4)
    • Intro
    • Tutorial 1: ClimateBench Dataset and How Machine Learning Can Help
    • Tutorial 2: Building and Training Random Forest Models
    • Tutorial 3: Testing Model Generalization
    • Tutorial 4: Testing Spatial Generalization
    • Tutorial 5: Testing generalization to new scenarios
    • Tutorial 6: Exploring other applications
    • Outro
    • Suggested Further Reading
    • Day Summary

Project Booklet

  • Introduction
  • Project Day keynote (W2D5)
  • Daily guide for projects
  • Project materials
    • Arctic Sea Ice Change
    • Heatwaves
    • Ocean Acidification
    • Precipitation Variability and Extreme Events
  • Continuing your project after the course
  • Past projects
    • 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

Professional Development

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

Quick links and policies

Contents

  • Quick links
  • Policies
    • Coursework attendance policy
  • Academy Accessibility Statement
    • Attendance
    • Curriculum
    • Logistical
    • Visual
    • Technical

Quick links and policies#

Quick links#

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

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

Website: https://neuromatch.io/computational-tools-for-climate-science-course/

Code of Conduct: NeuromatchAcademy/precourse

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

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

Attendance Policy and Waiver Form: https://docs.neuromatch.io/p/BI_ssrrHYrfg_E/Academy-Student-Attendance-Policy-and-Waivers

Policies#

Coursework attendance policy#

See the full course attendance policy here.

Academy Accessibility Statement#

Climatematch Academy believes and respects that each student brings diverse life and learning experiences to the educational environment and that there is no one-size-fits-all approach to education. As such, our team at Climatematch Academy is firmly committed to supporting DEIJSA+ (Diversity, Equity, Inclusion, Justice, Sense of Belonging, Accessibility, +) values, inclusion, and equity-based practices. One of our main goals has been to create an accessible and inclusive educational system with infrastructure and practices in place to support students’ needs. We want every student to feel valued and in charge of their experience, knowing we have built-in support systems for them.

Accordingly, we adhere to the following resources, guidelines, and policies to support access and accessibility:

Attendance#

  • Attendance flexibility to miss class for acceptable reasons, such as medical appointments, illness, electricity blackouts, bad internet connection, and personal well-being, among others.

  • Drop out of projects if there are exceptional circumstances that make it difficult to attend the project’s portion of the course.

  • Accommodating students with special needs, disabilities, and neurodiversity while maintaining confidentiality about their specific circumstances.

Curriculum#

  • Open Access. All course materials are freely available to use, share, and view under a CC-BY license with a public repository available on GitHub.

  • Use of “FAIR” research software in the sense of four foundational principles: being Findable, Accessible, Interoperable, and Reusable.

  • Seven options of group projects to try to fit as much as possible student personal interest.

  • Encouraging collaborative learning in small groups within pods.

  • Encourage peer programming, an approach where programmers can leverage each other’s strengths, build upon shared knowledge, and produce better code solutions through close collaboration and constant feedback.

Logistical#

  • Flexibility in background prerequisites for admission.

  • Flexibility in due dates.

  • Running the course in five different time slots in different time zones.

  • Forming language pods.

  • Estimate your course fees based on your region and the opportunity to get a fee waiver.

Visual#

  • Colorblind-friendly palettes in the vast majority of our materials.

Technical#

  • Set up a JupyterHub online where all datasets and code are ready to use, providing a solution that offers major compute resources independently of personal computer capacities.

  • Set up the tutorials on Google Colab and Kaggle for low-bandwidth Internet connections.

  • Recorded lectures with video subtitles and speed control options available on Youtube and BiliBili.

  • Provide computing resources for five months after the course ends as part of the Climatematch Impact Scholars program.

We understand that despite the efforts, there is still a long way to go to achieve the dream of true democratization of climate science. Still, we remain firm in our objectives, recognizing our limitations.

If you need resources not mentioned here or for assistance to make the most of your time in Climatematch Academy, please let us know at contact@climatematch.io

Thank you for your trust in us and for being part of the Climatematch Academy community.

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Prerequisites and preparatory materials for Computational Tools for Climate Science

On this page
  • Quick links
  • Policies
    • Coursework attendance policy
  • Academy Accessibility Statement
    • Attendance
    • Curriculum
    • Logistical
    • Visual
    • Technical

By Climatematch

Last updated on None.

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.