![]() Heatwaves: Assessing the dynamic interactions of the atmosphere and land Regional precipitation variability and extreme events ![]() The impact of ENSO on precipitation and temperature Tutorial 3: Logistic Regression and ANN on the Remote Sensing Crop Dataset Tutorial 2: Regression and Decision Trees on the Dengue Fever Dataset Tutorial 1: Linear and Logistic Regression Tutorial 7: Non-Stationarity in the EVT-frameworkĬlimate Response - Adaptation Impact (W2D5) Tutorial 6: Scenario-dependence of Future Changes in Extremes Tutorial 5: Non-stationarity in Historical Records Tutorial 4: Return Levels Using Normal and GEV Distributions Tutorial 3: Extreme Value Analysis - the GEV Distribution Tutorial 2: What is an Extreme Event? Empirical Return Levels Tutorial 4: Public Opinion on the Climate Emergency and Why it MattersĬlimate Response - Extremes & Variability (W2D4) Tutorial 2: Transition Goals and Integrated Assessment Models Tutorial 6: Synthesising & Interpreting Diverse Data Sourcesįuture Climate - IPCC II & III Socio-Economic Basis (W2D3) Tutorial 4: Quantifying Uncertainty in Projections Tutorial 2: Time Series, Global Averages, and Scenario Comparison Tutorial 1: Creating Maps of CMIP6 Earth System Model (ESM) Projections Tutorial 7: Introduction to Earth System Modelsįuture Climate - IPCC I Physical Basis (W2D1) Tutorial 6: Radiative Convective Equilibrium Tutorial 3 : A Zero-Dimensional Energy Balance Model Tutorial 9: Paleoclimate Reanalysis Products Tutorial 6: Spectral Analysis of Paleoclimate Data Tutorial 5: Paleoclimate Data Analysis Tools Tutorial 4: Reconstructing Past Changes in Atmospheric Climate Tutorial 3: Reconstructing Past Changes in Terrestrial Climate Tutorial 2: Reconstructing Past Changes in Ocean Climate Tutorial 5: Calculating Anomalies Using Precipitation Data Tutorial 4: Understanding Climatology Through Precipitation Data Tutorial 2: Exploring Satellite Climate Data Records Tutorial 1: Introduction to Remote Sensing Remote Sensing Land Ocean and Atmosphere (W1D3) Tutorial 4: Oceanic Wind-driven Circulation Tutorial 2: A Lot of Weather Makes Climate - Exploring the ERA5 Reanalysis State of the Climate Ocean and Atmosphere Reanalysis (W1D2) Tutorial 8: Communicating Your Conclusions Tutorial 3: Identifying the Basic Ingredients Tutorial 1: Finding a Phenomenon and Asking a Question About It Tutorial 9: Masking with Multiple Conditions Tutorial 7: Other Computational Tools in Xarray Tutorial 6: Compute and Plot Temperature Anomalies Tutorial 5: Xarray Data Analysis and Climatology Tutorial 4: Arithmetic and Aggregation Methods Tutorial 3: Opening and Plotting netCDF Data Tutorial 2: Selection, Interpolation and Slicing ![]() ![]() Tutorial 1: Creating DataArrays and Datasets to Assess Global Climate Data Installing and Managing Python with Condaįormatted Text in the Notebook with MarkdownĪnnotations, Colorbars, and Advanced Layouts Prerequisites and preparatory materials for Computational Tools for Climate Science ![]()
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