#netcdf — Public Fediverse posts

@hannorein That would be a bad idea especially if someone wants to run REBOUND on an #HPC cluster.
Dealing with simulations that create tons of files will put a lot of extra load on the shared file systems.
On your own little cluster, you probably wouldn't notice, but on the Alliance's national systems, on which thousands of users are working at any given time, this all stacks up.

Why not use something based on #HDF4 or #NETCDF?

How to Download and Visualize NASA-ISRO NISAR Data in QGIS | Step-by-Step Tutorial [shared]
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https://youtu.be/oRTplHPf_T0 <-- shared video tutorial
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https://github.com/opengeos/qgis-nasa-earthdata-plugin <-- shared NASA Earthdata Plugin for QGIS
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https://science.nasa.gov/mission/nisar/ <-- shared #NASA NISAR mission home page
--
H/T Qiusheng Wu
#remotesensing #earthobservation #tutorial #training #onlinelearning #download #visualisation #NISAR #opendata #satellite #NASA #Earthdata #QGIS #plugin #SAR #icemovement #ecosystems #vegetation #biomass #naturalhazard #risk #hazard #NetCDF #spatialvisualisation
@QGIS | @nasa

How to Download and Visualize NASA-ISRO NISAR Data in QGIS | Step-by-Step Tutorial [shared]
--
https://youtu.be/oRTplHPf_T0 <-- shared video tutorial
--
https://github.com/opengeos/qgis-nasa-earthdata-plugin <-- shared NASA Earthdata Plugin for QGIS
--
https://science.nasa.gov/mission/nisar/ <-- shared #NASA NISAR mission home page
--
H/T Qiusheng Wu
#remotesensing #earthobservation #tutorial #training #onlinelearning #download #visualisation #NISAR #opendata #satellite #NASA #Earthdata #QGIS #plugin #SAR #icemovement #ecosystems #vegetation #biomass #naturalhazard #risk #hazard #NetCDF #spatialvisualisation
@QGIS | @nasa

How to Download and Visualize NASA-ISRO NISAR Data in QGIS | Step-by-Step Tutorial [shared]
--
https://youtu.be/oRTplHPf_T0 <-- shared video tutorial
--
https://github.com/opengeos/qgis-nasa-earthdata-plugin <-- shared NASA Earthdata Plugin for QGIS
--
https://science.nasa.gov/mission/nisar/ <-- shared #NASA NISAR mission home page
--
H/T Qiusheng Wu
#remotesensing #earthobservation #tutorial #training #onlinelearning #download #visualisation #NISAR #opendata #satellite #NASA #Earthdata #QGIS #plugin #SAR #icemovement #ecosystems #vegetation #biomass #naturalhazard #risk #hazard #NetCDF #spatialvisualisation
@QGIS | @nasa

How to Download and Visualize NASA-ISRO NISAR Data in QGIS | Step-by-Step Tutorial [shared]
--
https://youtu.be/oRTplHPf_T0 <-- shared video tutorial
--
https://github.com/opengeos/qgis-nasa-earthdata-plugin <-- shared NASA Earthdata Plugin for QGIS
--
https://science.nasa.gov/mission/nisar/ <-- shared #NASA NISAR mission home page
--
H/T Qiusheng Wu
#remotesensing #earthobservation #tutorial #training #onlinelearning #download #visualisation #NISAR #opendata #satellite #NASA #Earthdata #QGIS #plugin #SAR #icemovement #ecosystems #vegetation #biomass #naturalhazard #risk #hazard #NetCDF #spatialvisualisation
@QGIS | @nasa

How to Download and Visualize NASA-ISRO NISAR Data in QGIS | Step-by-Step Tutorial [shared]
--
https://youtu.be/oRTplHPf_T0 <-- shared video tutorial
--
https://github.com/opengeos/qgis-nasa-earthdata-plugin <-- shared NASA Earthdata Plugin for QGIS
--
https://science.nasa.gov/mission/nisar/ <-- shared #NASA NISAR mission home page
--
H/T Qiusheng Wu
#remotesensing #earthobservation #tutorial #training #onlinelearning #download #visualisation #NISAR #opendata #satellite #NASA #Earthdata #QGIS #plugin #SAR #icemovement #ecosystems #vegetation #biomass #naturalhazard #risk #hazard #NetCDF #spatialvisualisation
@QGIS | @nasa

I am really looking forward to a time when scientific data analysis is less of a constant fuckaround and fight with technical bullshit. I'd *really* like

- #netCDF natively supporting complex numbers
- #Python #xarray and #pandas to natively support physical units (#pint is great on its own but the integrations leave a LOT to be desired)
- #Jupyter notebooks to suck less (crashes, glitches, widget plots not saved statically, an effing BUILTIN formatter, etc.)
- proper data pipeline systems
...

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

🌍📊 Want to work with NetCDF files in Python? My tutorial series covers everything from opening and plotting NetCDF data to creating CF-compliant files for FAIR data publication.

Whether you're new to NetCDF or looking to enhance your skills, I've got you covered! 🚀 Check it out: https://lhmarsden.github.io/NetCDF_in_Python_from_beginner_to_pro

Topics include:
🔸Extracting data 📝
🔸Plotting 📈
🔸Creating CF-compliant files 🌐
🔸Granularity 🖥️
🔸CF & ACDD 🖥️

Suggestions? Let me know! #Python #DataScience #NetCDF #xarray #FAIRData #ClimateData

🚀 New Video Alert! 🚀

I’ve just released a tutorial on how to convert NetCDF data to CSV or XLSX using R. Whether you’re dealing with 1D, 2D, or 3D variables, this video will guide you through the process step-by-step.

🎥 Watch here: https://youtu.be/9-EDaRQ8Aps

#RStats #NetCDF #DataScience #FAIRdata #CSV #XLSX #Tutorial #YouTube

A Gentle Introduction to GDAL Part 8 - Reading Scientific Data Formats
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https://medium.com/@robsimmon/a-gentle-introduction-to-gdal-part-8-reading-scientific-data-formats-1a1f70d5388c <-- shared technical article / tutorial
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“Among its many well-known capabilities, GDAL has a hidden superpower — the ability to read scientific data formats like Hierarchical Data Format (HDF), Network Common Data Form (NetCDF), and Gridded Binary (GRIB). Many essential climate and satellite datasets created by the likes of NASA, NOAA, the World Meteorological Organization (WMO), and the European Space Agency (ESA) are stored and distributed in one of these formats. They contain records of everything from global temperatures to land cover to ocean salinity. Unfortunately, many people who’d be interested in using these data don’t even know they exist…”
#GIS #spatial #mapping #remotesensing #earth #global #gdal #opensource #opendata #tutorial #learning #onlinelearning #introduction #scientificdata #HDF #NetCDF #GRIB #NASA #NOAA #WMO #ESA

Happy 20th Anniversary Panoply.
You make the easiest prettiest climate plots on every platform I’ve used.
And you’ve helped my students more times than I can count.
(You are also SO much better than nmapsX.)

https://www.giss.nasa.gov/tools/panoply/
#climate #dataviz #netCDF #HDF #GRIB
Thank you
@roadskater