Aligned learning outcomes#
Aligned using the revised version of Blooms taxonomy (Anderson et al. 2001)
Identify practical challenges of planning sea-based research, such as:
Availability and capabilities of research vessels and equipment, e.g. ice breaker vessel needed, infrastructure for equipment available
General logistics, e.g. transportation of container labs and other equipment
Requesting permits
Travel permits for staff
Diplomatic clearance (EEZ)
Customs documents
Safety trainings (beforehand and onboard)
Preparing, testing and transporting equipment
Be aware of (describe) matters during sea-based research, such as:
Contingency due to weather conditions and other unforeseen circumstances
The need to be flexible and patient
Taking notes, recording coordinates, stations, casts
Measurement protocols
Communication with crew, e.g. captain, winch driver
Living at sea, e.g. sea legs, seasickness, relaxation, water/energy/waste footprint
Give examples of uncertainty and variability of sea-based observations, such as:
Likely errors or wrong values, and seeing the data through the noise
Time and date coordinates, e.g. UTC, local time, ship time
Variability and limitations of measurements
Different scales of variability, e.g. tidal, seasonal
‘Synopticity’ of measurements (i.e. not possible to measure with one ship at multiple locations at the same time; therefore mixing time and space variability)
Instrument specific qualities, e.g. ADCP reflection
Learn how to analyse and interpret sea-based observations. Be able to:
Read in different data formats, e.g. nc, csv, zarr
Manipulate arrays and other data structures in python
Create and interpret density/TS profiles
Create spatial temperature/salinity/velocity maps, do GIS things
Interpret plots and deduce ocean circulation
Report findings
Contribute to a cruise report with pictures or plots
Plan a research cruise. Be able to:
Formulate research questions
Select sampling sites
Consider the duration of deployments, e.g. time a CTD station takes
Decide on on-site measurement order
Plan rest/working shifts for scientific personnel
Deal with contingency, e.g. consider what sites/measurements are essential, which are ok to skip