We feature on the NOC website and Twitter.
— Oceanography Centre (@NOCnews) September 20, 2016
I was on a course about metabolomics this week and they had a very interesting session on data processing. We were discussing how data processing can alter the interpretation, and that often people do not fully report how they have handled the data (quality control, baseline shift correction, outlier treatment, etc.) The metabolomics group at Birmingham are now trying to get everyone to record their workflow in detail and attach it as supplementary material to their work, so that anyone can easily reproduce their results.
Maybe we should aim to encourage people to do a similar thing for optical data. (Obviously building a tool like Birmingham did is completely out of the scope of this group!).
There is new article on backscatter:
Optical classification and characterization of marine particle assemblages within the western Arctic Ocean
(by Neukermans, Reynolds & Stramski)
I am so excited about our first meeting in September! We have a great programme and exciting discussions ahead of us. Also, I received great interested from several scientists around the world. Please let me know if there is anyone else who is interested in our work and I will add them to the email list!
For those of you who use a specific optical device, could you write a short section about it on the ‘Device’ page?
It would also be great to have some technical details (though they could be added later), incl.
Any other ideas?
And How should slope determinations be made?
George’s comment (http://wp.me/p7ffKH-B): Here, I see that alot of observations are presented with incorrect units assigned to the observations. It makes results difficult to interpret. I also see that people are locked into ways of presenting data that mask the trends. I personally think that differential number spectra mask alot of important information because the values span such a large range of values. Plus, not all values are equally certain. The small number of large particles in a given set of measurements makes their values more uncertain than the small, which affects how one should calculate slopes to the data.
Q4. What would we like to know? What are the most promising techniques for doing so? What will we do with the data?
George says (http://wp.me/p7ffKH-B): Way back when, Vern Asper measured both particle size and settling velocity on the same particles. More recently, Andrew McD has been measuring particle concentrations and fluxes on two different sets of particles and using the results to infer velocity as a function of size. Is there a way to measure both properties on the same particles so that we could perform more sophisticated analyses?