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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/2022/301/04/
Resources:
Documentation
Alternative GOES Download
GOES on Pando Archive
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Directories
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Files
File Object Name
Size
OR_MAG-L1b-GEOF_G16_s20223010400000_e20223010400599_c20223010401005.nc
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OR_MAG-L1b-GEOF_G16_s20223010401000_e20223010401599_c20223010402003.nc
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OR_MAG-L1b-GEOF_G16_s20223010402000_e20223010402599_c20223010403004.nc
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OR_MAG-L1b-GEOF_G16_s20223010403000_e20223010403599_c20223010404003.nc
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OR_MAG-L1b-GEOF_G16_s20223010404000_e20223010404599_c20223010405004.nc
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OR_MAG-L1b-GEOF_G16_s20223010405000_e20223010405599_c20223010406004.nc
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OR_MAG-L1b-GEOF_G16_s20223010406000_e20223010406599_c20223010407007.nc
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OR_MAG-L1b-GEOF_G16_s20223010407000_e20223010407599_c20223010408003.nc
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OR_MAG-L1b-GEOF_G16_s20223010410000_e20223010410599_c20223010411004.nc
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OR_MAG-L1b-GEOF_G16_s20223010413000_e20223010413599_c20223010414003.nc
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OR_MAG-L1b-GEOF_G16_s20223010414000_e20223010414599_c20223010415004.nc
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OR_MAG-L1b-GEOF_G16_s20223010415000_e20223010415599_c20223010416004.nc
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OR_MAG-L1b-GEOF_G16_s20223010416000_e20223010416599_c20223010417004.nc
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OR_MAG-L1b-GEOF_G16_s20223010426000_e20223010426599_c20223010427004.nc
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OR_MAG-L1b-GEOF_G16_s20223010427000_e20223010427599_c20223010428004.nc
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OR_MAG-L1b-GEOF_G16_s20223010429000_e20223010429599_c20223010430004.nc
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OR_MAG-L1b-GEOF_G16_s20223010430000_e20223010430599_c20223010431003.nc
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OR_MAG-L1b-GEOF_G16_s20223010431000_e20223010431599_c20223010432004.nc
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OR_MAG-L1b-GEOF_G16_s20223010432000_e20223010432599_c20223010433004.nc
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OR_MAG-L1b-GEOF_G16_s20223010433000_e20223010433599_c20223010434005.nc
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OR_MAG-L1b-GEOF_G16_s20223010434000_e20223010434599_c20223010435004.nc
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OR_MAG-L1b-GEOF_G16_s20223010435000_e20223010435599_c20223010436003.nc
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OR_MAG-L1b-GEOF_G16_s20223010436000_e20223010436599_c20223010437005.nc
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OR_MAG-L1b-GEOF_G16_s20223010437000_e20223010437599_c20223010438004.nc
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OR_MAG-L1b-GEOF_G16_s20223010438000_e20223010438599_c20223010439003.nc
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OR_MAG-L1b-GEOF_G16_s20223010439000_e20223010439599_c20223010440003.nc
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OR_MAG-L1b-GEOF_G16_s20223010440000_e20223010440599_c20223010441003.nc
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OR_MAG-L1b-GEOF_G16_s20223010441000_e20223010441599_c20223010442004.nc
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OR_MAG-L1b-GEOF_G16_s20223010442000_e20223010442599_c20223010443004.nc
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OR_MAG-L1b-GEOF_G16_s20223010443000_e20223010443599_c20223010444004.nc
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OR_MAG-L1b-GEOF_G16_s20223010444000_e20223010444599_c20223010445003.nc
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OR_MAG-L1b-GEOF_G16_s20223010445000_e20223010445599_c20223010446003.nc
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OR_MAG-L1b-GEOF_G16_s20223010446000_e20223010446599_c20223010447004.nc
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OR_MAG-L1b-GEOF_G16_s20223010448000_e20223010448599_c20223010449004.nc
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OR_MAG-L1b-GEOF_G16_s20223010449000_e20223010449599_c20223010450004.nc
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OR_MAG-L1b-GEOF_G16_s20223010450000_e20223010450599_c20223010451003.nc
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OR_MAG-L1b-GEOF_G16_s20223010451000_e20223010451599_c20223010452004.nc
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OR_MAG-L1b-GEOF_G16_s20223010453000_e20223010453599_c20223010454003.nc
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OR_MAG-L1b-GEOF_G16_s20223010454000_e20223010454599_c20223010455003.nc
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OR_MAG-L1b-GEOF_G16_s20223010455000_e20223010455599_c20223010456004.nc
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OR_MAG-L1b-GEOF_G16_s20223010456000_e20223010456599_c20223010457004.nc
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OR_MAG-L1b-GEOF_G16_s20223010457000_e20223010457599_c20223010458005.nc
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OR_MAG-L1b-GEOF_G16_s20223010458000_e20223010458599_c20223010459004.nc
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OR_MAG-L1b-GEOF_G16_s20223010459000_e20223010459599_c20223010500004.nc
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