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Dataset:
GOES-16 (East)
GOES-17 (West)
GOES-18 (West)
NEXRAD Level2
Global Forecast System (GFS)
High-Resolution Rapid Refresh (HRRR)
Global Ensemble Forecast System
National Water Model Short-Range Forecasts
National Water Model Archive
ECMWF ERA5 Reanalysis
URL:
https://noaa-goes16.s3.amazonaws.com/MAG-L1b-GEOF/2022/317/00/
Resources:
Documentation
Alternative GOES Download
GOES on Pando Archive
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Files
File Object Name
Size
OR_MAG-L1b-GEOF_G16_s20223170000000_e20223170000599_c20223170001003.nc
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OR_MAG-L1b-GEOF_G16_s20223170001000_e20223170001599_c20223170002005.nc
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OR_MAG-L1b-GEOF_G16_s20223170002000_e20223170002599_c20223170003003.nc
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OR_MAG-L1b-GEOF_G16_s20223170003000_e20223170003599_c20223170004004.nc
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OR_MAG-L1b-GEOF_G16_s20223170004000_e20223170004599_c20223170005003.nc
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OR_MAG-L1b-GEOF_G16_s20223170005000_e20223170005599_c20223170006003.nc
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OR_MAG-L1b-GEOF_G16_s20223170006000_e20223170006599_c20223170007003.nc
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OR_MAG-L1b-GEOF_G16_s20223170007000_e20223170007599_c20223170008004.nc
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OR_MAG-L1b-GEOF_G16_s20223170008000_e20223170008599_c20223170009004.nc
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OR_MAG-L1b-GEOF_G16_s20223170010000_e20223170010599_c20223170011003.nc
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OR_MAG-L1b-GEOF_G16_s20223170014000_e20223170014599_c20223170015004.nc
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OR_MAG-L1b-GEOF_G16_s20223170015000_e20223170015599_c20223170016003.nc
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OR_MAG-L1b-GEOF_G16_s20223170027000_e20223170027599_c20223170028003.nc
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OR_MAG-L1b-GEOF_G16_s20223170029000_e20223170029599_c20223170030005.nc
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OR_MAG-L1b-GEOF_G16_s20223170030000_e20223170030599_c20223170031004.nc
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OR_MAG-L1b-GEOF_G16_s20223170031000_e20223170031599_c20223170032003.nc
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OR_MAG-L1b-GEOF_G16_s20223170032000_e20223170032599_c20223170033004.nc
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OR_MAG-L1b-GEOF_G16_s20223170033000_e20223170033599_c20223170034004.nc
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OR_MAG-L1b-GEOF_G16_s20223170035000_e20223170035599_c20223170036003.nc
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OR_MAG-L1b-GEOF_G16_s20223170037000_e20223170037599_c20223170038004.nc
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OR_MAG-L1b-GEOF_G16_s20223170038000_e20223170038599_c20223170039003.nc
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OR_MAG-L1b-GEOF_G16_s20223170039000_e20223170039599_c20223170040003.nc
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OR_MAG-L1b-GEOF_G16_s20223170040000_e20223170040599_c20223170041003.nc
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OR_MAG-L1b-GEOF_G16_s20223170041000_e20223170041599_c20223170042003.nc
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OR_MAG-L1b-GEOF_G16_s20223170042000_e20223170042599_c20223170043003.nc
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OR_MAG-L1b-GEOF_G16_s20223170043000_e20223170043599_c20223170044004.nc
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OR_MAG-L1b-GEOF_G16_s20223170044000_e20223170044599_c20223170045004.nc
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OR_MAG-L1b-GEOF_G16_s20223170045000_e20223170045599_c20223170046003.nc
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OR_MAG-L1b-GEOF_G16_s20223170046000_e20223170046599_c20223170047004.nc
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OR_MAG-L1b-GEOF_G16_s20223170047000_e20223170047599_c20223170048003.nc
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OR_MAG-L1b-GEOF_G16_s20223170048000_e20223170048599_c20223170049004.nc
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OR_MAG-L1b-GEOF_G16_s20223170049000_e20223170049599_c20223170050003.nc
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OR_MAG-L1b-GEOF_G16_s20223170052000_e20223170052599_c20223170053004.nc
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OR_MAG-L1b-GEOF_G16_s20223170054000_e20223170054599_c20223170055003.nc
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OR_MAG-L1b-GEOF_G16_s20223170055000_e20223170055599_c20223170056003.nc
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OR_MAG-L1b-GEOF_G16_s20223170056000_e20223170056599_c20223170057003.nc
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OR_MAG-L1b-GEOF_G16_s20223170057000_e20223170057599_c20223170058004.nc
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OR_MAG-L1b-GEOF_G16_s20223170058000_e20223170058599_c20223170059004.nc
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OR_MAG-L1b-GEOF_G16_s20223170059000_e20223170059599_c20223170100003.nc
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