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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
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: Radiative Equilibrium
Tutorial 6: Radiative Convective Equilibrium
Tutorial 7: Introduction to Earth System Models
Outro
Suggested Further Reading
Future Climate - IPCC I Physical Basis (W2D1)
Intro
Figure settings
Figure settings
Figure settings
Figure settings
Figure settings
Figure settings
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
Project Day keynote (W2D2)
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
JupyterHub
repository
open issue
.ipynb
.pdf
Tutorial 3: IAMs and SSPs
Tutorial 3: IAMs and SSPs
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