63-953 Climate and Satellite Data Analysis

MS Integrated Climate System Sciences

Date: 3.2.2014-7.2.2014

Place: Geom 1536c

Course objectives

The participants will learn to practically work with climate model, reanalysis, in-situ station and satellite data. Organized as a group project, the participants will further learn the principles of project management and shared software development.

Schedule

Monday

General Introduction

• Project management and documentation

• Python

• Access to data sets

• Plotting Seawater plot.ipynb

• Data Visualization: Generating maps

• IPython Notebooks Gallery of interesting IPython Notebooks

• Stochastic analysis of time series.ipynb Monte carlo.ipynb GISSTEMP netcdf.ipynb datetimeobjects.ipynb Station data seasonal cycle.ipynb

Projects descriptions

Group work: develop a project plan and write a short technical proposal for your project.

Final report due by 15. March 2014

Obtain data and do preliminary analysis (e.g. data coverage).

Tuesday

Morning: Group presentations of project plan and preliminary analysis. Afternoon: implementation and project work

Wednesday

Morning: Group presentations of methods and code implementations Afternoon: Project work

Thursday

Morning: Group presentations of preliminary results Afternoon: Project work

Friday

Morning: final presenation of results and discussion Afternoon: evaluation and preparation of final report

Topics for group work

Project groups

/ProjectA

/ProjectB

/ProjectC

TODOs

Data

• prepare sea ice data (Lars) (CMIP5 data available)

• prepare CMIP5 data (Alex)

• ERA-Interim

• NCEP

• Stations

Final report

Template structure:

• Abstract
• Introduction: state of the art (literature), statement of the problem
• Methods and data
• Results
• Discussion
• Conlcusion

References

• Python at KlimaCampus

• Python Scripting for Computational Science, Hans Petter Langtangen, Springer (available in the ZMAW library)