Seeking to isolate wave modulation of low cloud field brightness and cellular evolution processes.
I will try to use OpenPIV http://www.openpiv.net/ to estimate and subtract remove the advected cellular structure (most of the variance).
https://github.com/OpenPIV/openpiv-python
conda create -n scwaves -c conda-forge jupyterlab openpiv pandas
CSET has some nice cases. quicklook loops: https://catalog.eol.ucar.edu/cset/dataset/137603/date/2015/07/18 (137602 is IR)
Good dates based on worldview browse https://go.nasa.gov/3ZXy5nK
June 15-18 great sc July 14-20 TCs and sc July 28-30 Aug 7-9 sh cu challenge cases
Vis filename template: https://catalog.eol.ucar.edu/cset/satellite/goes-15/20150718/23/satellite.GOES-15.201507182300.C01.GIF
VOCALS: 2008 whole year is there. Browse days here: http://catalog.eol.ucar.edu/cgi-bin/vocals/ops/prod_browse?platform=GOES-10&prod=ch1_vis&howmany=Use+Start%2FEnd+Dates+-%3E&start=20080916&end=20081127&submit=retrieve+products
Browse by date for loops:
http://catalog.eol.ucar.edu/cgi-bin/vocals/ops/date_browse?dateUTC=20080913
VIS: http://catalog.eol.ucar.edu/vocals/ops/goes-10/20080913/ops.goes-10.200809131645.ch1_vis_big.jpg http://catalog.eol.ucar.edu/vocals/ops/goes-10/20080913/ops.goes-10.200809131645.ch1_vis.jpg
IR: http://catalog.eol.ucar.edu/vocals/ops/goes-10/20080913/ops.goes-10.200809131645.ch4_thermal-IR.jpg
