Robert Pincus

@cisaacstern, thanks very much for this feedback. As a point of clarification, the data already contains the means, joint histograms, etc. that we want - they are just accessed via...

I'll see if I can find out about a TDS catalog. JSON files are provided, at least ([top level](https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/61/MCD06COSP_M3_MODIS.json)).

@cisaacstern Thanks for this. I'll catch up later this week, but meanwhile, perhaps you can try with `engine=netcdf4` keywords to `xr.open_dataset` ?

One can access the files through a GUI by appending `.dmr.html`. That provides a button where one can download the data in several formats, but I haven't been able to...

To get variables one has to open a group, i.e. `Cloud_Optical_Thickness_Liquid`

My attention is a little split these days, sorry. Like you both, I have been unable to open the files remotely via OpenDAP. I will see what I can learn...

@cisaacstern This part of the code is supposed to create a copy? ``` with fsspec.open(make_url(dates[0])) as src: with open(test_filename, mode="wb") as dst: dst.write(src.read()) ``` Because the file created is much...

The better comparison would be to ``` -rw-r--r--@ 1 robert staff 68513011 Mar 1 14:00 MCD06COSP_M3_MODIS.A2021182.061.2022052174444.nc ```

@cisaacstern Thanks so much for continuing to work on this; it's spectacular. I'm not sure how y'all think of things at Pangeo-forge but, from a science user's perspective, there's a...

All variables share location and time coordinates. I would package all the scalar fields together in a single dataset. There are also some joint histograms with the same location and...