DQRID : D061220.33
Start DateStart TimeEnd DateEnd Time Data Quality Metric
09/14/2006190002/21/20081005Incorrect
more
Subject:
SGP/MFRSR/E9 - Large night-time offsets
DataStreams:sgpmfrsrE9.a0, sgpmfrsrlangleyE9.c1, sgpmfrsrE9.b1, sgpmfrsrlangplotE9.c1
Description:
Some channels (415, 673 and 940) are flatlining in the early morning and late afternoon.  
This is not an instrument problem per se, but a result of the new data calibration 
procedure combined with the way the instrument operates. This problem is noticeable when an 
instrument has an unusually large negative nighttime offset.  The new data calibration 
procedure adds back the offset to daytime data.  The problem arises because the MFRSR, in 
banding mode, doesn't allow for values less than 0.  So the large offset gets added back to 
the global and diffuse data producing the "flatline" until raw values exceed zero. It is 
most noticeable on very overcast days.
Suggestions: 
Measurements:sgpmfrsrE9.b1:
  • direct_normal_narrowband_filter1
  • direct_normal_narrowband_filter4
  • offset_filter1
  • offset_filter4
  • direct_horizontal_narrowband_filter4
  • direct_horizontal_narrowband_filter6
  • offset_filter6
  • alltime_hemisp_narrowband_filter4
  • alltime_hemisp_narrowband_filter1
  • alltime_hemisp_narrowband_filter6
  • direct_diffuse_ratio_filter6
  • direct_diffuse_ratio_filter4
  • direct_diffuse_ratio_filter1
  • diffuse_hemisp_narrowband_filter6
  • hemisp_narrowband_filter4
  • direct_horizontal_narrowband_filter1
  • diffuse_hemisp_narrowband_filter4
  • hemisp_narrowband_filter1
  • direct_normal_narrowband_filter6
  • diffuse_hemisp_narrowband_filter1
  • hemisp_narrowband_filter6
more
sgpmfrsrE9.a0:
  • diffuse_hemisp_narrowband_filter1
  • diffuse_hemisp_narrowband_filter6
  • offset_filter1
  • diffuse_hemisp_narrowband_filter4
  • offset_filter4
  • direct_horizontal_narrowband_filter1
  • offset_filter6
  • hemisp_narrowband_filter1
  • hemisp_narrowband_filter4
  • hemisp_narrowband_filter6
  • direct_horizontal_narrowband_filter4
  • alltime_hemisp_narrowband_filter6
  • direct_horizontal_narrowband_filter6
  • alltime_hemisp_narrowband_filter4
  • alltime_hemisp_narrowband_filter1
more
sgpmfrsrlangleyE9.c1:
  • barnard_good_fraction_filter6
  • barnard_good_fraction_filter4
  • michalsky_optical_depth_filter1
  • barnard_error_slope_filter4
  • barnard_error_slope_filter6
  • michalsky_optical_depth_filter6
  • michalsky_optical_depth_filter4
  • barnard_good_fraction_filter1
  • michalsky_badflag_filter4
  • michalsky_badflag_filter6
  • michalsky_standard_deviation_filter4
  • michalsky_standard_deviation_filter6
  • michalsky_badflag_filter1
  • michalsky_standard_deviation_filter1
  • barnard_number_points_filter1
  • barnard_number_points_filter6
  • barnard_number_points_filter4
  • barnard_badflag_filter1
  • michalsky_number_points_filter6
  • barnard_optical_depth_filter1
  • michalsky_number_points_filter4
  • barnard_badflag_filter6
  • barnard_badflag_filter4
  • barnard_optical_depth_filter6
  • barnard_optical_depth_filter4
  • michalsky_good_fraction_filter6
  • michalsky_good_fraction_filter4
  • michalsky_good_fraction_filter1
  • barnard_error_slope_filter1
  • barnard_error_fit_filter6
  • michalsky_number_points_filter1
  • barnard_error_fit_filter1
  • barnard_error_fit_filter4
more
sgpmfrsrlangplotE9.c1:
  • barnard_lnI_filter1
  • barnard_lnI_filter4
  • barnard_lnI_filter6
  • barnard_rejected_filter6
  • barnard_rejected_filter4
  • michalsky_rejected_filter1
  • michalsky_rejected_filter6
  • michalsky_rejected_filter4
  • michalsky_lnI_filter6
  • michalsky_lnI_filter4
  • michalsky_lnI_filter1
  • barnard_rejected_filter1
more

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