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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/2022/296/12/
Resources:
Documentation
Alternative GOES Download
GOES on Pando Archive
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Files
File Object Name
Size
OR_MAG-L1b-GEOF_G16_s20222961200000_e20222961200599_c20222961201003.nc
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OR_MAG-L1b-GEOF_G16_s20222961201000_e20222961201599_c20222961202004.nc
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OR_MAG-L1b-GEOF_G16_s20222961202000_e20222961202599_c20222961203004.nc
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OR_MAG-L1b-GEOF_G16_s20222961203000_e20222961203599_c20222961204004.nc
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OR_MAG-L1b-GEOF_G16_s20222961204000_e20222961204599_c20222961205003.nc
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OR_MAG-L1b-GEOF_G16_s20222961205000_e20222961205599_c20222961206003.nc
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OR_MAG-L1b-GEOF_G16_s20222961206000_e20222961206599_c20222961207004.nc
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OR_MAG-L1b-GEOF_G16_s20222961207000_e20222961207599_c20222961208004.nc
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OR_MAG-L1b-GEOF_G16_s20222961210000_e20222961210599_c20222961211003.nc
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OR_MAG-L1b-GEOF_G16_s20222961213000_e20222961213599_c20222961214004.nc
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OR_MAG-L1b-GEOF_G16_s20222961214000_e20222961214599_c20222961215003.nc
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OR_MAG-L1b-GEOF_G16_s20222961215000_e20222961215599_c20222961216004.nc
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OR_MAG-L1b-GEOF_G16_s20222961216000_e20222961216599_c20222961217003.nc
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OR_MAG-L1b-GEOF_G16_s20222961217000_e20222961217599_c20222961218004.nc
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OR_MAG-L1b-GEOF_G16_s20222961218000_e20222961218599_c20222961219004.nc
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OR_MAG-L1b-GEOF_G16_s20222961225000_e20222961225599_c20222961226003.nc
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OR_MAG-L1b-GEOF_G16_s20222961226000_e20222961226599_c20222961227004.nc
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OR_MAG-L1b-GEOF_G16_s20222961227000_e20222961227599_c20222961228004.nc
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OR_MAG-L1b-GEOF_G16_s20222961228000_e20222961228599_c20222961229003.nc
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OR_MAG-L1b-GEOF_G16_s20222961229000_e20222961229599_c20222961230003.nc
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OR_MAG-L1b-GEOF_G16_s20222961230000_e20222961230599_c20222961231003.nc
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OR_MAG-L1b-GEOF_G16_s20222961231000_e20222961231599_c20222961232003.nc
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OR_MAG-L1b-GEOF_G16_s20222961232000_e20222961232599_c20222961233004.nc
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OR_MAG-L1b-GEOF_G16_s20222961233000_e20222961233599_c20222961234003.nc
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OR_MAG-L1b-GEOF_G16_s20222961234000_e20222961234599_c20222961235003.nc
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OR_MAG-L1b-GEOF_G16_s20222961235000_e20222961235599_c20222961236004.nc
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OR_MAG-L1b-GEOF_G16_s20222961236000_e20222961236599_c20222961237004.nc
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OR_MAG-L1b-GEOF_G16_s20222961237000_e20222961237599_c20222961238003.nc
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OR_MAG-L1b-GEOF_G16_s20222961238000_e20222961238599_c20222961239003.nc
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OR_MAG-L1b-GEOF_G16_s20222961239000_e20222961239599_c20222961240003.nc
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OR_MAG-L1b-GEOF_G16_s20222961240000_e20222961240599_c20222961241003.nc
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OR_MAG-L1b-GEOF_G16_s20222961241000_e20222961241599_c20222961242004.nc
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OR_MAG-L1b-GEOF_G16_s20222961242000_e20222961242599_c20222961243004.nc
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OR_MAG-L1b-GEOF_G16_s20222961243000_e20222961243599_c20222961244003.nc
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OR_MAG-L1b-GEOF_G16_s20222961245000_e20222961245599_c20222961246004.nc
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OR_MAG-L1b-GEOF_G16_s20222961252000_e20222961252599_c20222961253003.nc
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OR_MAG-L1b-GEOF_G16_s20222961253000_e20222961253599_c20222961254004.nc
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OR_MAG-L1b-GEOF_G16_s20222961254000_e20222961254599_c20222961255003.nc
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OR_MAG-L1b-GEOF_G16_s20222961255000_e20222961255599_c20222961256003.nc
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OR_MAG-L1b-GEOF_G16_s20222961256000_e20222961256599_c20222961257003.nc
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OR_MAG-L1b-GEOF_G16_s20222961257000_e20222961257599_c20222961258004.nc
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OR_MAG-L1b-GEOF_G16_s20222961258000_e20222961258599_c20222961259003.nc
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OR_MAG-L1b-GEOF_G16_s20222961259000_e20222961259599_c20222961300003.nc
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