𝗖𝗙 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗖𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝘀 support #OpenScience by automating processes via metadata in #NetCDF and #Zarr files. They establish a unified language for the #weather, #climate, #ocean, and #EO community. https://buff.ly/rGPuoku
#remotesensing #EarthObs
𝗖𝗙 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗖𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝘀 support #OpenScience by automating processes via metadata in #NetCDF and #Zarr files. They establish a unified language for the #weather, #climate, #ocean, and #EO community. https://buff.ly/rGPuoku
#remotesensing #EarthObs
GSPy - A New Toolbox And Data Standard For Geophysical Datasets
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https://doi.org/10.3389/feart.2022.907614 <-- shared paper
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https://doi.org/10.5066/P9XNQVGQ | https://code.usgs.gov/g3sc/gspy <-- shared code repository
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[an older paper, but code is in active and ongoing development/evolution]
#GIS #spatial #mapping #geophysics #geophysical #NetCDF #datatypes #code #opensource #library #dataformats #standardisation #standardization #openstandard #portable #metadata #Python #package #GSPy #methods #workflows #xarray #CRS #opendata #architecture #toolbox
Excited to share that I'm now a member of the CF Conventions Committee!
CF (Climate and Forecast) conventions standardise how scientific data and metadata are stored in NetCDF files, ensuring consistency and machine readability. Looking forward to contributing and collaborating with the community to shape its future!
Day six of the sixth eruption near #Svartsengi and the town of #Grindavík This eruption is the largest one yet. Here is a 4-day series of #Sentinel5p satellite data from the #TROPOMI instrument showing the mean amount of SO₂ in a vertical column of atmosphere (Dobson units). With time this will turn into sulfate particles forming volcanic smog.
This level 3 data is made available by The German Aerospace Center as #NetCDF files and can easily be opend in #QGIS and visualized with MDAL library.
Anyone knows of an open source software to make a diagram of the hierarchical structure of groups and variables in a #netcdf file? Doesn't need to be pretty, just to get a sense of files with many groups and sub-groups.
From my colleague, Luke, on #Twitter and #linkedin so far:
" I am trying to expand my network. I have a #YouTube channel where I share tutorials on #FAIR #OpenData, #NetCDF files +Darwin Core Archives
https://youtube.com/@LukeDataManager
More subscribers/followers -> More people see my videos -> More people learn about FAIR data!
Consider helping me out! "
I really like his videos, check them out.
I have ace colleagues, part 243:
My colleague Luke (LukeDataManager) has a Youtube channel where he helps people prepare #OpenData #FAIRdata:
His most recent series is about #Python, #Xarray, #NetCDF, etc...
Give him a follow (on Youtube) and a retoot (here)? https://youtube.com/@LukeDataManager?si=VMU9ehIPE8eyRaCt
#DYK?
One can now open #netCDF files having groups with #python #xarray-datatree !
> datatree.open_datatree('file.nc')
-> https://xarray-datatree.readthedocs.io/en/latest/index.html
So far I had to handle dict() of xarray datasets and it was a pain. Looking forward to giving this a try with actual satellite data files!