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Contents

  1. 63-953 Climate and Satellite Data Analysis
    1. Course objectives
    2. Schedule
      1. Monday
      2. Tuesday
      3. Wednesday
      4. Thursday
      5. Friday
  2. Topics for group work
    1. Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends
  3. TODOs
    1. Data
    2. Final report
    3. References

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

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

media_summary.png

Kevin Cowtan and Robert Way fill the gaps of the HadCRUT temperature data set by using satellite data. Compare their new reconstruction of surface temperature data compares to independent in-situ observations!

/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)

LehreWiki: Climate_and_Satellite_Data_Analysis_2014 (last edited 2014-02-05 09:14:16 by anonymous)