All CHESS PhD candidates and supervisor members are warmly invited to our Annual Meeting 2020, which will take place on Hurtigruten’s MS Trollfjord from 20 to 24 March 2020. Participants of the meeting shall be on board before 12:00 in Kirkenes. The ship will arrive at 06:30 on 24 March in Trondheim.
All PhD candidates are expected to present their research, either as a poster or an oral presentation, which is a great opportunity to get feedback from fellow PhD candidates and supervisors.
Each presentation session will be chaired by two PhD candidates, who will give a 5-minute introduction to the session topic at the beginning of their session. In addition, they are responsible to monitor the timing of the whole session. If you would like to be a session chair, please indicate this on the abstract submission form.
Duration of each talk will be 15 minutes plus 5 minutes for questions and discussion. A committee, consisting of both PhD candidates and supervisors, will give comments and feedback to each presenter.
Theme: How to become a more impactful scientist
Two main training foci:
Reseach leadership (how to impact your field)
Identify opportunities and lead the field forward – gaining perspective on your own research and awareness of its importance.
Research Outreach (how to impact society)
Conveying your research and its importance clearly, simply, and in a way that engages the public.
Travel and accommodation will be covered for all PhD candidates and supervisors. As we have limited cabins available, all PhDs will share a cabin with a fellow PhD candidate. Please indicate with whom you would like to share a cabin in the registration form. Depending on the number of registered participants, supervisors might also have to share a cabin.
Transport to Kirkenes:
There are daily flights from Bergen, Oslo or Tromsø to Kirkenes.
The airport shuttle bus from Kirkenes airport will take you to the city and the Hurtigruten terminal. The journey takes about half an hour. Public time table in March 2020 is not available yet but will be published as soon as they have information about the flight schedules to Kirkenes.
Transport from Trondheim:
There are daily flights and trains from Trondheim to Bergen, Oslo, or Tromsø.
More detailed information about local logistics will be posted when they are available.
In Kirkenes – A bus will take participants from Kirkenes airport to the Hurtigruten terminal. Departure time is 11:20 and it will take about 30 minutes to the terminal.
In Trondheim – A bus will take participants from Hurtigruten terminal to Trondheim train station at 07:30. Another bus departing Hurtigruten terminal at 08:30 will take participants to the Trondheim airport (traveling time about 45 minutes).
Registration & abstract submission
As we have limited number of cabins, registration is on a first come, first served basis.
Please register using the online form : https://skjemaker.app.uib.no/view.php?id=7444148
Registration deadline: 18 December 2019. (registration closed)
CHESS students should submit abstracts and register at the same time.
For students and supervisors: please note that registration will become binding after 25th February, and cancellation after this date without legitimate reasons might incur a charge of NOK 7600.
For questions regarding the registration and the program, please contact us at firstname.lastname@example.org.
The 4-days course aims at PhD-level students and early-stage scientists intending to apply data assimilation as part of their research. The course should also be useful for students with beginner or little notions of data assimilation. The crash course will cover the basic concepts of data assimilation, focusing on ensemble methods, illustrated with real-scale / operational applications and with practical exercises. It will also include notions of Machine Learning of relevance for data assimilation.
The event is organised by NERSC and NORCE in the framework of the projects DIGIRES and REDDA from the Norwegian Research Council, and supported by the climate research school CHESS (travel costs of CHESS members will be covered by CHESS).
For more details and application, please see their webpage:
Deadline for application: 15 February
Responsible: Joe LaCasce / UiO
International lecturer: Jonathan Lilly / Theiss Research
Max. no. of participants: 12 CHESS students (total participants: 20)
Credit points: 2 ECTS
Registration form here. Deadline: 15 March
Submitted applicant list
Course description: This course introduces students to essential statistical and conceptual tools for analyzing any type of dataset from oceanography, atmospheric science, or climate.
In this course, the students will learn how to use our creativity together with simple statistical tools to delve into datasets, uncovering whatever information they may contain, and how to shape that information into stories. In particular, a powerful method called “distributional data analysis” allows us to deconstruct potentially large, multivariate datasets by examining their statistics in two-dimensional slices. Careful attention is given to the variance ellipse, the fundamental second-order statistical quantity for bivariate data such as velocity. Data organization and manipulation techniques, visualization strategies, and healthy coding habits are all also addressed. Finally, the course provides innovative training in the essential mental factors of curiosity, imagination, and objectivity.
Students apply techniques to datasets of their own choosing using the Matlab programming language, and learn further through homework problems and group exercises.
This will be the fourth time a version of this course is offered in Oslo, and the second time focusing on a greatly expanded version of the “low-tech” methods that form the foundation of the data analyst’s toolbox.
This course is strongly recommended for all students wishing to participate in a more advanced time series analysis course with the same instructor, to be offered over two weeks in Fall 2020 at the Alfred Wegener Institute in Bremerhaven, Germany.
Learning modules/structure: There will be two hours of lectures in the morning sessions and a two-to-three hour lab session in the afternoons. Lectures will be given in the mornings and lab sessions in the afternoons, allowing the students to apply the methods directly to data. The students will also complete a final project on data of their choice. The students employ the statistical and time series analysis toolbox jLab developed by the instructor (http://jmlilly.net/software). Course notes are available online at http://jmlilly.net/course (specifically chapters 1-8).
Learning outcomes: At the end of the course, students will be well-prepared to begin efficiently analyzing any dataset they might encounter, while avoiding common pitfalls. Students gain practical experience through hands-on demonstrations and exercises in Matlab.
Prerequisites: Students must have a fully functioning version of Matlab with jLab already installed at the start of the course. Students are expected to bring a dataset of any type that they would like to analyze for a course project. Multivariate datasets are encouraged. Model output is also acceptable.
This year’s Advanced Climate Dynamics Course for PhDs will be in August in a spectacular location in northern Sweden.
Topic: Dynamics of the Global Water Cycle
Venue: Abisko and Tarfala Research Stations, Abisko National Park, Sweden
Dates: 16.– 28. August, 2020
Application deadline: 1. March 2020.
Target: advanced graduate students (PhDs). Other applications will be considered on a case by case basis if there is space (admission is competitive).
Goal: To mix diverse students and lecturers with empirical and dynamical training within climate science and focus on understanding the basic principles and dynamics relating the global water cycle.
Price: Expenses on site are covered by the school, participants must cover travel to the venue (Abisko train station: www.sj.se).
Key topics to be included:
– Atmospheric moisture, clouds, and aerosols
– Extreme weather
– Ocean circulation and the freshwater budget
– Floods and flood variability
– Soil moisture and climate
– Water balance and agriculture
– Paleo evidence of the hydrological cycle
– Sea level and ice sheets
– Cryosphere, ice-ocean interaction, and ice-cores.
Check http://www.uib.no/rs/acdc for details and continuous updates on list of lecturers and program.
For contact: email@example.com