eScience for linking Arctic measurements and modeling
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Themes and group topics
1. Report guidelines
1.1 Peer review matching timeline notebook
1.2 Notebook for presentation
2. Group-1
2.1 libe05 project
2.2 Luis-s21 project
2.3 Slijeci project
2.4 Tuulivarenka project
2.5 Presentations
3. Group-2
3.1 AOD div
3.2 lassekva Project
3.3 franzihe area averaged AOD Svalbard
3.3.1 Franzihe presentation
3.4 Marekrataj read data
3.5 Sofiemt DMP
3.6 Presentations
4. Group-3
4.1 Data to use
4.2 Maria's project
4.3 Stinsage temperature
4.4 AOD johan
4.5 Presentations
5. Group-4
5.1 Dinastabell DMP
5.2 Olga firus test
5.3 Dominichr1 Test
5.4 Sigridjb topic presentation
5.4.1 Alert Size distribution
5.4.2 Tiksi Size distribution
5.4.3 Nord Size distribution
5.4.4 Zeppelin Size distribution
5.5 NILU size distribution from EBAS
5.6 References
5.7 Presentations
Course program
Tools
Course preparation
Setup
Laptop setup
Jupyterhub setup
Get ready with Jupyter
Get ready with Python
Course Contribution
New contributors
Contribute to Open Science projects
Notebook example
Example notebook report
Linn Karlsson, Sizedistributions in NorESM
Learning resources
Presentations
Programming
E-Science
Getting started with Git/Github
Synchronize your fork github repository
Git pull request explained
Visualize in Python
Python examples
Aerosol distribution plotting
Example NorthPolarStereo_projection
Example Weighted/masked average
Gridded model data dask rolling mean
Dask kernel example
Get EBAS data with pydap
Pyaerocom
pyaerocom jupyter notebook
pyaerocom EBAS example
How to find EBAS files
How to read EBAS files
How to handle large files
Example CMIP6 colocation
Example aas etal read
Example EBAS artic SO4 concentrations
How to compare model with model (gridded-gridded)
Install pyaerocom dev
CMIP6 data
Plotting CMIP6 data
CMIP6 data with dask cluster
Search CMIP6 historical data
GitHub repository
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Jupyter Book
.pdf
Group-3
Group-3: Michael and Diago
Temp f(Aerosols)
Forcing eval
Sulfur
Remote sensing & Forcing
Life time of aerosols
