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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/2022/129/14/
Resources:
Documentation
Alternative GOES Download
GOES on Pando Archive
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Files
File Object Name
Size
OR_MAG-L1b-GEOF_G16_s20221291400000_e20221291400599_c20221291401003.nc
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OR_MAG-L1b-GEOF_G16_s20221291401000_e20221291401599_c20221291402003.nc
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OR_MAG-L1b-GEOF_G16_s20221291402000_e20221291402599_c20221291403003.nc
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OR_MAG-L1b-GEOF_G16_s20221291403000_e20221291403599_c20221291404003.nc
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OR_MAG-L1b-GEOF_G16_s20221291404000_e20221291404599_c20221291405003.nc
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OR_MAG-L1b-GEOF_G16_s20221291405000_e20221291405599_c20221291406003.nc
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OR_MAG-L1b-GEOF_G16_s20221291406000_e20221291406599_c20221291407003.nc
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OR_MAG-L1b-GEOF_G16_s20221291407000_e20221291407599_c20221291408003.nc
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OR_MAG-L1b-GEOF_G16_s20221291409000_e20221291409599_c20221291410003.nc
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OR_MAG-L1b-GEOF_G16_s20221291410000_e20221291410599_c20221291411003.nc
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OR_MAG-L1b-GEOF_G16_s20221291413000_e20221291413599_c20221291414003.nc
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OR_MAG-L1b-GEOF_G16_s20221291414000_e20221291414599_c20221291415004.nc
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OR_MAG-L1b-GEOF_G16_s20221291415000_e20221291415599_c20221291416003.nc
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OR_MAG-L1b-GEOF_G16_s20221291417000_e20221291417599_c20221291418003.nc
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OR_MAG-L1b-GEOF_G16_s20221291418000_e20221291418599_c20221291419003.nc
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OR_MAG-L1b-GEOF_G16_s20221291425000_e20221291425599_c20221291426003.nc
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OR_MAG-L1b-GEOF_G16_s20221291426000_e20221291426599_c20221291427003.nc
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OR_MAG-L1b-GEOF_G16_s20221291427000_e20221291427599_c20221291428003.nc
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OR_MAG-L1b-GEOF_G16_s20221291428000_e20221291428599_c20221291429003.nc
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OR_MAG-L1b-GEOF_G16_s20221291429000_e20221291429599_c20221291430003.nc
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OR_MAG-L1b-GEOF_G16_s20221291430000_e20221291430599_c20221291431003.nc
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OR_MAG-L1b-GEOF_G16_s20221291431000_e20221291431599_c20221291432003.nc
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OR_MAG-L1b-GEOF_G16_s20221291432000_e20221291432599_c20221291433003.nc
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OR_MAG-L1b-GEOF_G16_s20221291433000_e20221291433599_c20221291434004.nc
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OR_MAG-L1b-GEOF_G16_s20221291434000_e20221291434599_c20221291435003.nc
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OR_MAG-L1b-GEOF_G16_s20221291436000_e20221291436599_c20221291437004.nc
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OR_MAG-L1b-GEOF_G16_s20221291437000_e20221291437599_c20221291438004.nc
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OR_MAG-L1b-GEOF_G16_s20221291438000_e20221291438599_c20221291439003.nc
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OR_MAG-L1b-GEOF_G16_s20221291439000_e20221291439599_c20221291440003.nc
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OR_MAG-L1b-GEOF_G16_s20221291440000_e20221291440599_c20221291441003.nc
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OR_MAG-L1b-GEOF_G16_s20221291441000_e20221291441599_c20221291442003.nc
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OR_MAG-L1b-GEOF_G16_s20221291442000_e20221291442599_c20221291443004.nc
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OR_MAG-L1b-GEOF_G16_s20221291443000_e20221291443599_c20221291444003.nc
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OR_MAG-L1b-GEOF_G16_s20221291445000_e20221291445599_c20221291446003.nc
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OR_MAG-L1b-GEOF_G16_s20221291448000_e20221291448599_c20221291449003.nc
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OR_MAG-L1b-GEOF_G16_s20221291449000_e20221291449599_c20221291450003.nc
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OR_MAG-L1b-GEOF_G16_s20221291452000_e20221291452599_c20221291453003.nc
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OR_MAG-L1b-GEOF_G16_s20221291453000_e20221291453599_c20221291454004.nc
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OR_MAG-L1b-GEOF_G16_s20221291454000_e20221291454599_c20221291455003.nc
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OR_MAG-L1b-GEOF_G16_s20221291455000_e20221291455599_c20221291456003.nc
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OR_MAG-L1b-GEOF_G16_s20221291456000_e20221291456599_c20221291457004.nc
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OR_MAG-L1b-GEOF_G16_s20221291457000_e20221291457599_c20221291458003.nc
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OR_MAG-L1b-GEOF_G16_s20221291458000_e20221291458599_c20221291459004.nc
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OR_MAG-L1b-GEOF_G16_s20221291459000_e20221291459599_c20221291500003.nc
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