Data Analysis and Model Evaluation Tools in Environmental and Climate Science
The course introduces Earth system analysis as well as data analysis with practical exercises.
The course will make use of existing infrastructures, such as climate models (e.g., NorESM, EC-EARTH), model databases (e.g., AeroCom, CMIP6), model data evaluation portals (e.g., AeroCom), and atmospheric and oceanic databases (e.g., EBAS, ORA-IP). Practical work is initiated and accompanied to apply modern visualization, data analysis and statistical tools (e.g., Jupyter notebooks, AeroCom tools).
Introductions will be given on the role of aerosols and clouds, observational techniques, Earth system models, climate forcing and climate model evaluation. The course involves a set of relevant lectures and tutorials, with the main emphasis placed on intensive group work and a final report that will be written during and after the course by each student. Before the course, the selected students will be asked to practice the tools to be used on the course (mainly Python and Jupyter notebook) by solving a pre-exercise.
The course is primarily aimed at PhD students in atmospheric and biospheric sciences (also advanced MSc students are welcome to apply). During the course the students can either use their own data or utilize provided model data together with long-term aerosol, air, ion, trace gas, meteorological data measured at field stations. Topics for practical work will be suggested depending on student’s background. This year, the topics will relate to the core themes identified in the CleanCloud project. Related introductory lectures will be given by researchers from the CleanCloud consortia.
Information for admitted students spring 2025
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on whether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
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Activate your university account
The first step in being able to register and gain access to all the university's IT services.
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Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from your department
On this page you will shortly find information on registration, learning platform, etc.
Welcome activities
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
Find your way on campus
Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
Read more
For new international students
The course will make use of existing infrastructures, such as climate models (e.g., NorESM, EC-EARTH), model databases (e.g., AeroCom, CMIP6), model data evaluation portals (e.g., AeroCom), and atmospheric and oceanic databases (e.g., EBAS, ORA-IP). Practical work is initiated and accompanied to apply modern visualization, data analysis and statistical tools (e.g., Jupyter notebooks, AeroCom tools).
Introductions will be given on the role of aerosols and clouds, observational techniques, Earth system models, climate forcing and climate model evaluation. The course involves a set of relevant lectures and tutorials, with the main emphasis placed on intensive group work and a final report that will be written during and after the course by each student. Before the course, the selected students will be asked to practice the tools to be used on the course (mainly Python and Jupyter notebook) by solving a pre-exercise.
The course is primarily aimed at PhD students in atmospheric and biospheric sciences (also advanced MSc students are welcome to apply). During the course the students can either use their own data or utilize provided model data together with long-term aerosol, air, ion, trace gas, meteorological data measured at field stations. Topics for practical work will be suggested depending on student’s background. This year, the topics will relate to the core themes identified in the CleanCloud project. Related introductory lectures will be given by researchers from the CleanCloud consortia.
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Course structure
Detailed course content
Introductory lectures on:
- Lectures on core themes of CleanCloud
- Climate model evaluation and Climate model diagnostics
- Observational methods (in-situ and remote sensing techniques)
- Model analysis tool introductions
- Model data base structures
- Tips & Tricks with Python and Jupyter notebooks / Jupyter Hub
Practical work
Students are asked to cooperate in small groups (3-4) with an assistant on individual topics of interest in the realm of climate model evaluation and analysis. Jupyter notebooks shall be compiled to document the work and results. Two presentations are expected during the course to report on progress.
The learning outcomes
In the end of the course the student will have
- skills to analyze a scientific problem within the Earth system;
- skills to set up small python based data analysis projects;
- knowledge about existing online databases containing atmospheric and ecosystem data;
- the ability to understand, evaluate and visualize model output;
Some of the transferable skills the course strives to improve
- statistical analysis of model and field measurements;
- multidisciplinary approach;
- project management; and
- collaborative learning.
Assessment
The course is examined as follows: Assessment takes place through oral presentations and a written report. Late submission of the written report will affect the final grade of the course, as described in the course grading criteria.
Your rights and responsibilities
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Contact
Study counsellors
Questions about admission, registration, schedule etc.
Course coordinator
Paul Zieger, Paul.Zieger@aces.su.se
Department of Environmental Science
