Data Quality Reports for Session: 183910 User: haoyuw1 Completed: 02/28/2017


TABLE OF CONTENTS

DQR IDSubjectData Streams Affected Data Quality Metric
D120215.4SGP/MERGESONDE/C1 - Reprocessing Notice (RID 927)sgpmergesonde1maceC1.c1Does not affect quality
D161118.7SGP/MERGESONDE/C1 - Inconsistencies at day boundaries.sgpmergesonde1maceC1.c1Suspect


DQRID : D120215.4
Start DateStart TimeEnd DateEnd Time Data Quality Metric
01/01/2006000005/30/20122359Does not affect quality
Subject:
SGP/MERGESONDE/C1 - Reprocessing Notice (RID 927)
DataStreams:sgpmergesonde1maceC1.c1
Description:
See below for details of reprocessing that was completed on 20140904.  Original DQR 
category: 4 (Red, Incorrect).

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All precip values are incorrectly reported during the period:  

From 20060101-20101231 all precip values are incorrectly reported as missing, or -9999.  

From 20110101-present all precip values are reported as 0 even though the qc_precip 
variable flags the data as missing, or -9999. 

The precipitation data from the co-located surface met station were not actually missing, 
but the MERGESONDE VAP did not properly ingest these data.  While the 0 precip values 
reported after 20110101 in MERGESONDE may be correct on days with no precip, they are not 
actually tied to the measurements from the co-located rain gauge and are due to a VAP 
software error.

To correct this issue, the MERGESONDE software will need to be corrected so the data can 
be reprocessed.  Because precip is a secondary variable in MERGESONDE, this issue is 
considered low priority and the VAP will not be reprocessed until a sufficient number of 
issues in the VAP have been identified.
Measurements:sgpmergesonde1maceC1.c1:
  • Precipitation, total, derived from ETA model(precip)


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DQRID : D161118.7
Start DateStart TimeEnd DateEnd Time Data Quality Metric
07/15/1996000006/29/20152359Suspect
Subject:
SGP/MERGESONDE/C1 - Inconsistencies at day boundaries.
DataStreams:sgpmergesonde1maceC1.c1
Description:
Please be aware that there are often inconsistencies at the boundaries between UTC days. 
The severity is dependent on the data variable and the number of sonde launches per day. 
Relative humidity, dew point, wind speed and wind direction are most affected. 

The contribution from sonde data is highest near the sonde times, then decreasing 
strongly. (Example of sonde 
contribution to value at 1 km height: )

Relative humidity at NSA can have large discontinuities at the UTC date boundaries due to 
only having two sonde launches per day. When weather or instrument malfunction reduce the 
number of launches the discontinuity can increase. (Example  at SGP at 1 km and Example at NSA at 1km )

Wind speed Example  at 1 km 
height: 

Temperature values are not affected as severely as other variables (Example  at NSA and Example at SGP 1 km height.)
Measurements:sgpmergesonde1maceC1.c1:
  • Temperature, air, 60-m height, 30-min intervals(temp)
  • Wind speed, S-to-N component, at altitude, derived from ETA model(v_wind)
  • sonde_fraction
  • Wind direction, at 10-m height, 30-min intervals(wdir)
  • Wind speed, surface, 1-min avg(wspd)
  • Precipitation, total, derived from ETA model(precip)
  • Barometric Pressure(bar_pres)
  • Temperature, dewpoint, at altitude(dp)
  • vapor_source
  • Pressure, vapor, at 2-m height, 30-min intervals(vap_pres)
  • rh_scaled
  • potential_temp
  • Pressure, associated geometric height, at altitude, NGM model output(height)
  • Wind speed, W-to-E component, at altitude(u_wind)
  • sonde_fraction_rh
  • Humidity, relative, on hybrid-b grid, derived from RUC model(rh)
  • sh


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