Responsible: Joe LaCasce / UiO
International lecturer: Jonathan Lilly / Theiss Research
Max. no. of participants: 12 CHESS students (total participants 24)
Credit points: 3 ECTS
Registration form here. Deadline: 3 May
Submitted applicant list
Course description: This course introduces students to essential tools for analyzing any type of dataset from oceanography, atmospheric science, or climate. The centerpiece, called “distributional data analysis”, is a simple yet powerful method for delving into a potentially large, multivariate dataset by examining its statistics in two-dimensional slices. Elementary statistics for univariate or bivariate (e.g. velocity) datasets, simple filtering, data organization and manipulation techniques in Matlab, and data visualization strategies are all addressed. The course also provides innovative training in the mental factors of curiosity, imagination, and objectivity that are essential for observationalists. Students apply techniques to their own datasets, and learn further through homework problems and group exercises.
This will be the third time the course is offered. By popular demand, this iteration focuses on a greatly expanded version of the “low-tech” methods that form the foundation of the data analyst’s toolbox.
Structure: Lectures will be given in the mornings and lab sessions in the afternoons, allowing the students to apply the methods directly to data at once. In addition to a physical classroom in Oslo, lectures will also be available via video link. 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. The students employ the statistical and time series analysis toolbox jLab developed by the instructor (http://jmlilly.net/jmlsoft.html). Course notes are available online at http://jmlilly.net/course (specifically chapters 1-8).
Outcome: 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.
Responsible: Harald Sodemann, UiB
Invited lecturer: Ulysses Ninnemann, UiB; Pål Tore Mørkved, UiB; Hans Christian Steen-Larsen, UiB
Max. no. of participants: ca. 10
Credit point: 1 ECTS
Registration form here. Deadline: 22 May
Submitted applicant list
In this training course, we will provide an in-depth introduction to understanding the principles and applications of stable water isotopes across different components of the Earth System, through lectures, conceptual model exercises, laboratory experiments and data analysis. We will also introduce participants to the analytical procedures at the national reference laboratory FARLAB at UiB, and recommend sample collection procedures.
The course will use an active teaching approach, and participants are invited to bring an own sample to be processed at the laboratory during the training course.
Day 1: Lectures will cover fundamental principles of isotope fractionation with a focus on water isotopes (H216O, H217O, H218O, HDO) and derived parameters for conditions at the evaporation source (Deuterium excess, Δ17O excess) in several components of the climate system, including atmosphere, hydrosphere, and cryosphere. Furthermore, current measurement principles based on Cavity-Ring Down Spectroscopy and Mass Spectroscopy are reviewed. In the afternoon, students set up a simple evaporation experiment and prepare test samples (tap water from home) for isotope analysis in the laboratory at FARLAB.
Day 2: Lectures will focus on fractionation during phase transitions in atmospheric systems, including evaporation and condensation processes. Classical and advanced models for evaporation and condensation processes, from the Rayleigh model, to single-column microphysics models, to grid scale models will be presented. In the afternoon, students will run different model case studies, and prepare samples from evaporation experiments in the laboratory.
Day 3: Lectures will focus on sampling procedures, analytical uncertainty for different systems. Spatial representativeness of measurements in different phases and systems are presented. In the afternoon, students work on presenting results from the evaporation experiments and compare their results with respect to predictions from an evaporation model.
Through our course, participants will gain theoretical and practical in-depth knowledge in the stable water isotope analysis, as well as a broader understanding for interpreting the isotope signal from different components in the coupled Earth System at a graduate level.
At completion of the course, participants will have reached the following outcomes and benefits:
– gain understanding of water isotope fractionation processes
– acquire knowledge of isotopes in the coupled ocean/atmosphere/land/ice system
– know about current measurement techniques
– know about recommended sampling procedures
– apply a simple isotope fractionation model
– perform simple evaporation experiment
– prepare and process own samples on state-of-the-art instrumentation
Only the science matters in science papers. Often, however, good science is damaged by its unclear presentation in writing. Clarity is the science writer’s sole stylistic obligation. But without a cogent, carefully constructed literary structure, there can be no clarity; clarity is in structure. We will, therefore offer techniques and means of attaining structure that can be applied to the present paper, the next paper, and the next.
– We can accommodate a maximum of 12 students. Each will submit a draft of their papers 3 weeks before the workshop begins, and everyone will receive a package containing all papers.
– As a group, we will rigorously examine the abstracts, introductions, and conclusions for each paper, asking, first, are they clear? We will address three papers per day, leaving Friday open for rewrites.
– Working together as a group, we will help improve the paper at hand. But that alone is not enough. We will use the papers as a starting point to establish the foundations of a practical writing process – of thinking like a writer about science writing – that will produce better papers, but also alleviate some of the stress most students feel about writing.
– Different faculty scientists will participate in each session to help students clarify the science itself.
Dallas Murphy is a professional writer, author of nine books, a mix of fiction and nonfiction, and two plays. He conducts science-writing workshops at the Max Planck Institute for Meteorology, University of Hamburg, Max Planck Institute for Polymer Research, University of Miami, and Bergen Geophysical Institute.
The 6th data assimilation summer school aims to educate and to familiarize graduate students (MSc and PhD) with the basic concepts of data assimilation, to illustrate them by applications and to offer an overview of special topics related to the challenges and issues of data assimilation in the geosciences.
The summer school will set an arena for discussions and debates around the big data challenge presents in practical applications of these methodologies: hydrology, atmospheric sciences, oceanography and geosciences.
This summer school targets primarily students and researchers at an early stage of their career with/without previous experience in data assimilation.
CHESS will support 5 PhD members to participate in the school.
For more details and registration, please check the website: https://data-assimilation.com/
The Bornö Summer School is a two week summer school covering topics in dynamics relevant for the ocean and atmosphere. During the school, the students will code their own numerical ocean model, in Python and Matlab. Lectures are given in the mornings about fundamental dynamics, and in the afternoons the students conduct experiments with their models to study the same phenomena. The course is aimed primarily at students beginning in dynamics, but is appropriate for all levels.
The course takes place at a hydrological station on the island of Stora Bornö, off the west coast of Sweden. The station lies directly on the Gullmarsfjord, allowing observations to be made. Lecturers and students stay at the station, and a cook will prepare (fantastic) meals. Students from Denmark, Sweden and Germany will participate as well, in addition to those from Norway. Space is limited at the station. The island is roughly 4 km long, covered with pine trees and is very scenic.
Week 1: Carsten Eden (Univ. Hamburg), Markus Jochum (Univ. Copenhagen)
Week 2: Joe LaCasce (Univ. Oslo), Jonas Nycander (Univ. Stockholm)
Advanced Climate Dynamics Courses (ACDC), supported by CHESS and other agencies, are yearly summer schools organized by the Bjerknes Centre for Climate Research (University of Bergen) in collaboration with the University of Washington, Woods Hole Oceanographic Institution, and the University of Texas at Austin.