Course programme


Monday 22.10

  • Arrival day
  • Joint dinner at ASC (Andøya Space Center)

Tuesday 23.10

Introduction into Facilities (NAROM)

Introduction into programme

who: Michael Schulz

  • GROUP topics
  • study group expectations
  • reports

Presentation by participants

who: all - please upload the slides by Tuesday following the instrucctiona here upload slides

  • 2 slides from each (students and assistants and teachers) on their research and interests


Hands-on: IT setup and tools for the course

who: Diego Aliaga lecture: Introduction into setup, python and jupyter notebooks, jupyterlab

  • What is NIRD, Norwegian infrastructure, etc.
  • Clear instructions where to find data. (/projects/NS1000K/NEGI-Andoya/inputs)
  • Check setup with attendees

Exercise: all students become operational on laptop and nird accessing data, running jupyter&python Assistents: Sara Blichner, Jonas Gliss, Diego Aliaga + all other assistents

Hacky hour and data therapy

who: All - Does the setup work for everybody?

Wednesday 24.10

Presentation and discussion of research topics

  • formation of study groups
  • 25 students: 6-7 groups á 3-5 students
  • Assistants: Sara, Jonas, Tommaso, Janne, Augustin, Tanja, Maria
  • Teachers Diego, Betsy, PaulG, PaulZ, Michael advising all groups

Lectures: The NOAA network on gas and aerosol monitoring

Who: Betsy Andrews (45 min)

Lecture: Remote sensing of aerosols and clouds in the Arctic

Who: Paul Glantz (45 min)


Presentation of basic model data tools and exercises

Who: Michael Schulz (15 min) Lecture: Which data are available / Introduction to physics/variables/units NorESM, AeroCom, CMIP5, Obs4MIP, CMIP6 data request Exercise part 1: 30min

Who: Sara Blichner (15 min) Lecture: Introduction into reading model data (ncdump, ncview, ncl, nco, cdo) Exercise part 2: 30min

Who: Jonas Gliss (15 min) Lecture: Introduction in collocating model and data, example library pyaerocom, Data reading solutions, iris library Exercise part 3: 30min

Initial group work, discussion of group work plan, individual topics, data requests

Hacky hour and data therapy

who: Problems?

Thursday 25.10

Lecture: Climate Model Structure and model archives

Who: Michael Schulz

Lecture: Measurement data in EBAS, Aeronet, AeroCom

Who: Jonas Gliss

Lecture: The AeroCom in-situ project, Model Data analysis

Who: Betsy Andrews


Group work, preparation of presentation of plan for friday

Joint excursion to Alomar Lidar research facility on mountain

depending on weather possibly on another day, with guide to Alomar Who: all

Visit of NAROM facilities

depending on weather possibly on another day, with guide to Laboratories Who: all

Hacky hour and data therapy

who: Problems?

Friday 26.10

Lecture: Arctic aerosols and clouds, measurement challenges

Who: Paul Zieger

Lecture: NAROM tbd (Boundary Layer Meteorology, Sounding Measurements)

Continuation group work


Group presentations on work plan

Who: All groups - present their plans on study topics (15 min each)

Continuation group work

Hacky hour and data therapy

who: Problems?

Saturday 27.10

Lecture: Aerosol forcing and Climate feedbacks

Who: Michael Schulz

Lecture: Efficient usage of scripting, github, python for research

Who: Anne Fouilloux

Continuation group work


Lecture: How to organise the course report

Who: Michael Schulz, Paul Zieger

Continuation group work

Hacky hour and data therapy

who: Problems?

Sunday 28.10

Continuation group work

Joint excursion to sea side

Monday 29.10 until Wednesday 31.10

Continuation group work

Regular science and tool problem coming togethers

Thursday 01.11

Morning: Presentations of individual study topics results

Afternoon: Finalization of individual study reports

Friday 02.11

Departure day, no course