Download from Amazon
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/SEIS-L1b-SGPS/2022/053/09/
Resources:
Documentation
Alternative GOES Download
GOES on Pando Archive
Back
Directories
None
Files
File Object Name
Size
OR_SEIS-L1b-SGPS_G16_s20220530900000_e20220530900590_c20220530901003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530901000_e20220530901590_c20220530902002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530902000_e20220530902590_c20220530903004.nc
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OR_SEIS-L1b-SGPS_G16_s20220530903000_e20220530903590_c20220530904003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530904000_e20220530904590_c20220530905002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530905000_e20220530905590_c20220530906003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530906000_e20220530906590_c20220530907003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530907000_e20220530907590_c20220530908002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530908000_e20220530908590_c20220530909002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530909000_e20220530909590_c20220530910004.nc
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OR_SEIS-L1b-SGPS_G16_s20220530910000_e20220530910590_c20220530911003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530912000_e20220530912590_c20220530913003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530913000_e20220530913590_c20220530914003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530914000_e20220530914590_c20220530915003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530915000_e20220530915590_c20220530916002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530916000_e20220530916590_c20220530917003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530917000_e20220530917590_c20220530918002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530918000_e20220530918590_c20220530919002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530920000_e20220530920590_c20220530921002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530925000_e20220530925590_c20220530926002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530926000_e20220530926590_c20220530927002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530927000_e20220530927590_c20220530928003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530928000_e20220530928590_c20220530929003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530929000_e20220530929590_c20220530930002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530930000_e20220530930590_c20220530931003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530931000_e20220530931590_c20220530932003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530932000_e20220530932590_c20220530933004.nc
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OR_SEIS-L1b-SGPS_G16_s20220530933000_e20220530933590_c20220530934002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530934000_e20220530934590_c20220530935002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530936000_e20220530936590_c20220530937002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530937000_e20220530937590_c20220530938002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530938000_e20220530938590_c20220530939003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530939000_e20220530939590_c20220530940003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530940000_e20220530940590_c20220530941003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530941000_e20220530941590_c20220530942002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530942000_e20220530942590_c20220530943003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530944000_e20220530944590_c20220530945003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530949000_e20220530949590_c20220530950002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530950000_e20220530950590_c20220530951002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530951000_e20220530951590_c20220530952003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530952000_e20220530952590_c20220530953002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530953000_e20220530953590_c20220530954004.nc
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OR_SEIS-L1b-SGPS_G16_s20220530954000_e20220530954590_c20220530955003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530955000_e20220530955590_c20220530956002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530956000_e20220530956590_c20220530957003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530957000_e20220530957590_c20220530958003.nc
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OR_SEIS-L1b-SGPS_G16_s20220530958000_e20220530958590_c20220530959002.nc
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OR_SEIS-L1b-SGPS_G16_s20220530959000_e20220530959590_c20220531000002.nc
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