research_blog/2023/11/07/courses-and-model-uncertainty

[utterances-bot]

PhD Courses and Model Uncertainty | Weekly Research Update

After our last discussion, I spent this past week compiling a list of courses I would like to take during my PhD. I also made a few more model evaluation figures and began exploring model uncertainty literature. More details below. Courses Like you recommended last week, I have put together a list of all courses that I am interested in taking over the course of my PhD. Originally, this list was much longer. However, I shorted it in consideration of time away during the Valle exchange program in Scandinavia. The following courses are ones that I am most eager to take. OCEAN 587: Fundamentals of Climate Change (3) Autumn Description: "Examines Earth's climate system; distribution of temperature, precipitation, wind ice, salinit

https://ajleeson.github.io/research_blog/2023/11/07/courses-and-model-uncertainty.html

[parkermac]

Aurora, in Fig. 5 how was model density calculated? I am suspicious that it looks like in-situ density instead of potential density. Here is how I calculated in in the LO/obs/orca processing:

potential density relative to 0 dbar, minus 1000 kg m-3

SIG0 = gsw.sigma0(SA,CT)

In situ density includes the effect of compressibility, which can increase density markedly as depth increases.

Other possibility is that the model density is way off.

[parkermac]

The exploration of DIN is very interesting. It points to the problem as starting in April, with the observed upper layer DIN pulled down much more than the model. Can you focus on just that month and plot where the observations were at that time?

Also it would be interesting to plot full model profiles of DIN at those stations in April. The DO results make me think that maybe the model spring bloom is happening higher in the water column than the observations...