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David Hoese Space Science and Engineering Center University of Wisconsin - Madison JSC 2019 1 Processing High Resolution Satellite Data With Satpy

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David Hoese (Haze) • Software Developer SSEC/CIMSS University of Wisconsin – Madison • Pytroll Developer • Open Source Contributor JSC 2019 2

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JSC 2019 3 >>> import satpy Part 1: The What Part 2: The How

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Working with satellite data can get complicated JSC 2019 4

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Working with satellite data can get complicated JSC 2019 5

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SatPy makes it easier to read and use satellite instrument data JSC 2019 6 >>> from satpy import Scene >>> scn = Scene(reader='abi_l1b’, filenames=[…]) >>> scn.available_dataset_names() ['C01', 'C02', 'C03', 'C04', 'C05', 'C06', 'C07', 'C08', 'C09', 'C10', 'C11', 'C12', 'C13', 'C14', 'C15', 'C16'] >>> scn.load([‘C01’]) >>> scn[’C01’] ...

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SatPy makes it easier to read and use satellite instrument data >>> scn.available_composite_names() ['airmass', 'ash', 'cimss_true_color', 'cloudtop', 'convection', 'day_microphysics', 'dust', 'fog', 'natural_color', 'night_fog', 'night_microphysics', 'overview', 'true_color'] >>> scn.load([‘true_color’]) >>> new_scn = scn.resample(resampler=’native’) >>> new_scn.save_datasets() 7 JSC 2019

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Supported Readers JSC 2019 8 SEVIRI L1B HRIT/Native/NetCDF GOES 11-15 Imager HRIT NUCAPS EDR Retrieval AHI HSD/HRIT ABI L1B CSPP ACSPO SST AGRI L1 ABI L2 GEOCAT MTSAT-1R JAMI HRIT GLM L2 (dev) CLAVR-x MTSAT-2 Imager HRIT GCOM-W1 AMSR2 L1B VIIRS SDR/L1B/Compact Electro-L HRIT MODIS L1B TROPOMI L2 AVHRR L1B AAPP Sentinel-1 A/B SAR-C SAFE GK2A AMI L1B (dev) AVHRR L1B EPS Sentinel 2A/B MSI SAFE AAPP MAIA VIIRS/AVHRR AVHRR L1B GAC/LAC Sentinel 3 A/B SLSTR (dev) MTG FCI L1C (dev)

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Supported Writers JSC 2019 9 Geotiff CF NetCDF AWIPS Compatible NetCDF (SCMI) Simple Image (PNG, JPEG, etc.) via Pillow NinJoTIFF (in development) MiTIFF

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Satpy is simplifying satellite data processing JSC 2019 10 scn = Scene(reader=‘viirs_sdr’, filenames=[...]) scn.load([‘ash’]) new_scn = scn.resample(‘moll’) new_scn.save_datasets(writer=‘scmi’)

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Not talked about... JSC 2019 11 • Video creation • Custom composites • Custom enhancements • Add coastlines/decorations • Compatibility with other open source tools • Cartopy • Geoviews • Xarray plotting

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Part 2: The How JSC 2019 12 How are people using Satpy?

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Ron Goodson Environment and Climate Change Canada JSC 2019 13 Total Precipitable Water composites with age borders

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Simon Proud National Centre for Earth Observation, University of Oxford, UK JSC 2019 14 Calibration and resampling feeding cloud and aerosol properties retrieval algorithm

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Sauli Joro EUMETSAT JSC 2019 15

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Jorge Bravo Civil Protection of the Veracruz State (Mexico) JSC 2019 16 Operational monitoring of weather conditions (no receiving antenna with NOAA Big Data Project)

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David Hoese JSC 2019 17 $ geo2grid.sh abi_l1b geotiff -f /path/to/files -p C01 true_color CSPP Geo Geo2Grid and CSPP Polar2Grid

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David Hoese JSC 2019 18 SIFT – Satellite Information Familiarization Tool

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Satpy is growing thanks to all of the contributors JSC 2019 19 • Satpy 0.17 is out • 4-6 week release schedule • Pytroll Contributor Weeks every Spring and Fall!

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Contact Me • Twitter: djhoese • Github: djhoese • Email: [email protected] • Code: https://github.com/pytroll/satpy • Docs: https://satpy.readthedocs.io/ • Pytroll: http://pytroll.github.io/ • Slack: https://pytroll.slack.com/ • Mailing List: https://groups.google.com/forum/#!forum/pytroll JSC 2019 20