- ArcTrain
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Program
ArcTrain Annual Meeting 18th to 20th of September 2017
Annual Meetings are an essential element of the organization of ArcTrain, facilitating effective communication among PIs and PhD students from Germany and Canada. The meetings include a status seminar, where PhD students present the progress of their work, as well as talks by guest speakers, who will also interact with the PhD students and PIs.
The 2017 Bremen meeting is already the fourth in the series of our annual meetings.
During the meeting, German and Canadian PhD students will present in 15 minutes, including time for discussion, the scientific aims and broader significance of their respective projects. The status seminar is accompanied by thesis committee meetings, and a meeting of the Advisory Group. The organizational matters of ArcTrain will be discussed during the General Assembly, to which the steering committee will report.
Each annual meeting is accompanied by a training workshop, aiming to provide ArcTrain PhD students with skills useful for theeir projects and career. The overarching topic of this years workshop will be quantitative skills.
Course participants are asked to bring own laptops - a limited number of extra computers for those who cannot bring their own will be available as well.
The final program in pdf format can be downloaded here
Schedule
| Date | Activity 1 | Activity 2 |
| Tuesday 12th Sep |
Introduction to ODV (Prof. Rainer Schlitzer) |
Climate and paleoclimate data (Dr. Dagmar Kieke) |
| Wednesday 13th Sep |
Maps for publications (Dr. André Paul) |
Climate and paleoclimate data (same content as on 12.9.) (Dr. Dagmar Kieke) |
| Thursday 14th Sep |
Time series analysis I (Dr. Manfred Mudelsee) |
Multivariate data analysis I (Prof. Michal Kucera) |
| Friday 15th Sep |
Time series analysis II (Dr. Manfred Mudelsee) |
Multivariate data analysis II (Prof. Michal Kucera) |
| Saturday 16th Sep |
Field trip (Wadden Sea) |
|
| Sunday 17th Sep |
free | |
| Monday 18th Sep |
Annual Meeting | |
| Tuesday 19th Sep |
Annual Meeting | |
| Wednesday 20th Sep |
Annual Meeting | |
| Thursday 21st Sep |
Thesis committee meetings | DFG on-site evaluation |
| Friday 22nd Sep |
DFG on-site evaluation |
Discovering and handling climate and paleoclimate data
(Coordinator: Dr. Dagmar Kieke, Dr. Maren Walter)
One-day course, 12-13.9.2017 with the same program on each of these days
The purpose of the two-day course is to explore where relevant climate, ocean, ice and paleoclimate data, including observational data and the results of numerical simulations, can be found, how can relevant data be identified, and in what format are they stored. The participants will also learn how to handle certain well-known data formats like netCDF and when and how to make own data available publicly. The course will include a session on the world data center PANGAEA (www.pangaea.de).
Exploring and visualizing ocean data with Ocean Data View
(Prof. Rainer Schlitzer, AWI)
One day, 12.9.2017
Ocean Data View (https://odv.awi.de/) is a free software package for the interactive exploration, analysis and visualization of oceanographic profile, time-series, trajectories, or sequence data. The participants will obtain hands-on training in the functionality of the program, learning how to display own data on the background of a multidimensional oceanographic parameters. The participants are asked to install the software prior to the course (extra computers will be available) and bring their own data.
Maps for publications
(Dr. André Paul)
One day, 13.9.2017
The course will provide guidance and hands-on training on how to construct maps, project own data onto maps, generate surface from coordinates and finalize the products to be visually effective and appealing. The participants will be informed about software to install prior to the course (extra computers will be available).
Multivariate data analysis
(Coordinator: Prof. Michal Kucera)
Two days, 14-15.9.2017
Handling and analysis of multivariate data is relevant in a range of geoscientific context. This two-day course will provide an overview on methods used for statistical analysis, visualization and manipulation of multivariate datasets. Topics covered include discrimination, regression and ordination, as well as the basics of ecological modelling (transfer functions).
Time series analysis
(Dr. Manfred Mudelsee)
Two days, 14-15.9.2017
The course consists of lectures and computer tutorials and includes introduction to time series, persistence models and statistical properties, regression and correlation and spectral analysis. The participants will obtain guidance on software installation for the computer tutorials and course material for all techniques taught. The tutor (www.mudelsee.com) also offers post-course support on software and statistical advice for the participants.