Systems' Engineering for Energy Efficiency - A Python course on Systems engineering for energy efficiency in German within the Master of Electrical Engineering and Master of Renewable Energy at the Cologne University of Applied Sciences.
ESM-lectures - Lecture slides for KIT Energy System Modelling course.
Power Systems Optimization - How to implement and apply linear and mixed integer linear programs to solve such problems using Julia/JuMP, and the practical application of such techniques in energy systems engineering.
Data Science for Energy System Modelling - Find practical introductions to many Python packages that are useful for dealing with energy data and building energy system modells.
Sustainable Software Engineering - A course that covers techniques for measuring and improving environmental, social, and individual sustainability at every stage of the software lifecycle.
Climate Risks Academy 2021 - Contains solutions for the advanced assignment of the Modelling Lab of the Climate Risks Academy 2021.
PyEarthScience - Python modules, scripts and iPython notebooks, in particular for Earth System data processing and visualization used in climate science.
EDS220_Fall2021 - Provide an introduction to various environmental data sets, which should give you a good sense of the range of tools out there for manipulating and processing environmental data.
Climate Change Impact Assessment: A practical walk-through - Throughout the course of this book, you will learn how to acquire observed historical climate data from Environment and Climate Change Canada, and perform basic analyses of a climate index and meteorological variables.
LP DAAC E-Learning - Frequently updated presentations, webinars, tutorials, and video tips on accessing, managing, and processing LP DAAC data using a variety of software, web applications, custom tools, and scripts.
Copernicus Training - Data tutorials for the Copernicus Climate Change and Atmosphere Monitoring Services.
The Environmental Data Science book - A living, open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science.
Earthdata Cloud Cookbook - This Cookbook is learning-oriented to support scientific researchers using NASA Earthdata from Distributed Active Archive Centers as they migrate their workflows to the cloud.
Project Pythia - A community learning resource for Python-based computing in the geosciences.
HPC4WC - High Performance Computing for Weather and Climate Course.
ARSET Fundamentals of Machine Learning for Earth Science - This training will provide attendees an overview of machine learning in regards to Earth Science, and how to apply these algorithms and techniques to remote sensing data in a meaningful way.
Fundamentals of Remote Sensing - Participants will have a basic understanding of NASA satellites, sensors, data, tools, portals and applications to environmental monitoring and management.
EO College - This course is part of a series of online learning materials that will give you insights on the potential of remote sensing technologies for applications over land surfaces.
LPDAAC-Data-Resource - This repository is a place to find data user resources that demonstrate how to use NASA Land Processes Distributed Active Archive Center (LP DAAC) tools, services, and data.
E-TRAINEE - Course on Time Series Analysis in Remote Sensing for Understanding Human-Environment Interactions
GALUP - Build local capacity in the region of Ghana regarding remote sensing and GIS, and transfer the land use planning framework for continued planning.
OCO2-OCO3 - For public accessibility and data visualization, a beginner-level tutorial is available for users interested in exploring the OCO2 and OCO3 data.
The General Circulation of the Atmosphere - The course gives a broad overview about the general circulation of the atmosphere, including the tropospheric and stratospheric circulations.
LTPy - Learning tool for Python on Atmospheric Composition Data.
Python for Atmosphere and Ocean Scientists - Contains the Data Carpentry lesson materials for a single day workshop on using python in the atmosphere and ocean sciences.
How to work with meteorological ECMWF data - A good starting point how you can work with European Centre for Medium-Range Weather Forecasts (ECMWF) services and data through Python using Jupyter notebooks.
WEkEO4Atmosphere - With the help of cases studies about the monitoring of wildfires and air quality, Copernicus atmosphere data from the Copernicus Programme are introduced.
mebioda - This repository contains materials for the MSc course Methods in Biodiversity Analysis.
NEON Data Skills - Provides tutorials and resources for working with scientific data, including that collected by the National Ecological Observatory Network.
R-ecology-lesson - Data Analysis and Visualization in R for Ecologists.
ECOSTRESS Tutorial - The ECOSTRESS mission is tasked with measuring the temperature of plants to better understand how much water plants need and how they respond to stress.
Ecological Forecasting & Dynamics Course - This is a course on how ecological systems change through time and how to forecast how they will change in the future.
WSL Julia Workshop 2023 - Practical introduction to Julia for modelling and data analysis in biodiversity and earth sciences.
Ecological forecasting with R - In this course you will learn how to wrangle, visualize and explore ecological time series.
CoastWatch Satellite Course - The goal of the course is to familiarize university researchers and students with different types of ocean satellite data, different tools, and teach participants how to use satellite data in their own research using their choice of software (R, python, ArcGIS).
The Argo Online School - Teach the basic foundations to use and understand Argo an international program that collects information from inside the ocean using a fleet of floats that drift with the ocean currents.
Digital Soil Mapping - This online book covers the tutorial on digital soil mapping from the course Applied Geodata Science 2 at the University of Bern.
python-for-hydrology - Focusing on general python for data analysis in hydrologic contexts and the python interface into MODFLOW for groundwater modeling.
PyNotes in Agriscience - A set of hands-on coding exercises to solve common tasks and simple problems in agricultural sciences.
Integrated Assessment Modelling and Climate Econometrics¶
Practical guide to Climate Econometrics - Better understand the impacts of climate change, disaster risk and responses, resource management, human behavior, and sustainable development.