Closed andrewfagerheim closed 1 year ago
Dhruv's notes from Slack:
Action Items:
Discussion of Smith & Ferrari 2009:
Project Connections:
Discussion of vertical_spectra notebook:
Next steps:
Notes on argo_vertical_spectra notebook:
Next steps:
Long Term:
T (z, dive)
(approach [-1]) to 𝛿 (z, dive)
(approach [1])Notes on argo_vertical_spectra notebook:
Next steps:
Long Term:
𝛿 (z, dive)
(approach [1]) spaceNotes on argo_vertical_spectra notebook:
Next steps:
Ideas for next steps:
Immediate Tasks:
_Updates can be found in the argo_onescale notebook in my repo
Today I started to update my filtering functions to match the functions that Dhruv wrote. I ended up creating two functions: one_scale_filt for filtering a dataset at just one scale and multi_scale_filt for creating an array at multiple filter scales.
Next steps:
_I've added lots of notes walking through these steps in more detail in the argo_onescale notebook
Notes on argo_one_scale:
TEMP
or PRES_INTERPOLATED
should be written as flags instead.xr.apply_ufunct
to apply the filter to the correct dimension.Next steps:
Notes on argo_one_scale:
Next steps:
EKE_funcs.py
)Notes on progress:
argo_one_scale
notebook, why are there lots of horizontal lines?gaussian_filter1d
filtering on the -1 axis, which in argo is 'PRES_INTERPOLATED' and in the glider is 'dives'Potential next steps?
Notes:
xr.transpose()
to swap dimensions.ds.TIME.dt.month
. Plot the mean temp/salinity and EKE signals for each month. Do they look different?Next steps:
Standardized terms:
<A>l
is the profile filtered at scale l
<A>l^2
is the profile filtered at scale l, squared [MEAN VARANCE, MV]
A^2
is each value of the profile squared
<A^2>l
is each value of the profile squared, filtered at scale l [TOTAL VARIANCE, TV]
<A^2>l - <A>l^2
is the difference between TV and MV [EDDY VARIANCE, EV]
Notes:
Next Steps:
Notes:
argo.teos10()
to calculate CT, SA, SIG0; this will be easier than using gsw directly. Should try adding these variables to the dataset before using argo.point2profile()
or interpolating in the argo_box_loader notebookNext Steps:
Notes:
CCS Poster:
Next steps:
Recap of the last two weeks:
NEV = (EV/(drho/dz)**2)**(1/2)
Things to be working on (unspecific timeline):
Closing this and opening a new one for the summer
Repo Organization:
8 [Collection of meeting notes, action items, and timelines on the direction and progress of the project starting from FALL 2022. See #1 for a similar collection from SUMMER 2022.]
3 [Accumulated list of useful articles, websites, code tips, etc starting from SUMMER 2022.]
4 [Accumulated list of key points, takeaways, and questions from articles and reading materials starting from SUMMER 2022.]