Data Quality Reports for Session: 101223 User: allisonm Completed: 08/21/2006


TABLE OF CONTENTS

DQR IDSubjectData Streams Affected
D050405.2PYE/MWR/M1 - Reprocess: retrieval coefficientspyemwrlosM1.b1, pyemwrtipM1.a1, pye5mwravgM1.c1
D050617.1PYE/MWR/M1 - Instrument computer locked uppyemwrlosM1.b1
D050725.12PYE/MWR/M1 - Reprocess - Revised Retrieval CoefficientspyemwrlosM1.b1, pyemwrtipM1.a1, pye5mwravgM1.c1, pyeqmemwrcolM1.c1
D050726.4PYE/MWR/M1 - Reprocessed: Calibration correctedpyemwrlosM1.b1, pyemwrtipM1.a1
D050927.1PYE/MWR/M1 - New software version (4.15) installedpyemwrlosM1.b1, pyemwrtipM1.a1


DQRID : D050405.2
Start DateStart TimeEnd DateEnd Time
02/01/2005070003/07/20052355
Subject:
PYE/MWR/M1 - Reprocess: retrieval coefficients
DataStreams:pyemwrlosM1.b1, pyemwrtipM1.a1, pye5mwravgM1.c1
Description:
The retrieval coefficients were not valid for PYE.
Measurements:pyemwrtipM1.a1:
  • 23.8 GHz sky brightness temperature derived from tip curve(tbsky23tip)
  • Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)
  • 31.4 GHz sky brightness temperature derived from tip curve(tbsky31tip)
  • Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)

pyemwrlosM1.b1:
  • Mean 31.4 GHz sky brightness temperature(tbsky31)
  • Mean total liquid water amount along LOS path(liq)
  • Mean 23.8 GHz sky brightness temperature(tbsky23)
  • Mean total water vapor amount along LOS path(vap)

pye5mwravgM1.c1:
  • Mean 23.8 GHz sky brightness temperature(tbsky23)
  • Mean total liquid water amount along LOS path(liq)
  • Mean total water vapor amount along LOS path(vap)
  • Mean 31.4 GHz sky brightness temperature(tbsky31)


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DQRID : D050617.1
Start DateStart TimeEnd DateEnd Time
06/09/2005000006/09/20051500
Subject:
PYE/MWR/M1 - Instrument computer locked up
DataStreams:pyemwrlosM1.b1
Description:
The MWR computer locked up and required a reboot at 00Z on June 9, 2005.  When the program 
was restarted, water vapor, liquid path, and temps dropped to zero.  They did not 
recover until 15Z the same day.
Measurements:pyemwrlosM1.b1:
  • Noise diode mount temperature(tknd)
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • Mean 31.4 GHz sky brightness temperature(tbsky31)
  • Sky/Cloud Infra-Red Temperature(sky_ir_temp)
  • Mean total liquid water amount along LOS path(liq)
  • Blackbody kinetic temperature(tkbb)
  • Mixer kinetic (physical) temperature(tkxc)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • Mean 23.8 GHz sky brightness temperature(tbsky23)
  • 31.4 GHz sky signal(sky31)
  • 23.8 GHz sky signal(sky23)
  • Ambient temperature(tkair)
  • Mean total water vapor amount along LOS path(vap)


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DQRID : D050725.12
Start DateStart TimeEnd DateEnd Time
02/01/2005070004/08/20051900
Subject:
PYE/MWR/M1 - Reprocess - Revised Retrieval Coefficients
DataStreams:pyemwrlosM1.b1, pyemwrtipM1.a1, pye5mwravgM1.c1, pyeqmemwrcolM1.c1
Description:
IN THE BEGINNING (June 1992), the retrieval coefficients used to derive 
the precipitable water vapor (PWV) and liquid water path (LWP) from the 
MWR brightness temperatures were based on the Liebe and Layton (1987) 
water vapor and oxygen absorption model and the Grant (1957) liquid 
water absorption model.

Following the SHEBA experience, revised retrievals based on the more 
recent Rosenkranz (1998) water vapor and oxygen absorption models and 
the Liebe (1991) liquid waer absorption model were developed.  The 
Rosenkranz water vapor absorption model resulted a 2 percent increase 
in PWV relative to the earlier Liebe and Layton model.  The Liebe 
liquid water absorption model decreased the LWP by 10% relative to the 
Grant model.  However, the increased oxygen absorption caused a 
0.02-0.03 mm (20-30 g/m2) reduction in LWP, which was particularly 
significant for low LWP conditions (i.e. thin clouds encountered at 
SHEBA).

Recently, it has been shown (Liljegren, Boukabara, Cady-Pereira, and 
Clough, TGARS v. 43, pp 1102-1108, 2005) that the half-width of the 
22 GHz water vapor line from the HITRAN compilation, which is 5 percent 
smaller than the Liebe and Dillon (1969) half-width used in Rosenkranz 
(1998), provided a better fit to the microwave brightness temperature 
measurements at 5 frequencies in the range 22-30 GHz, and yielded more 
accurate retrievals. Accordingly, revised MWR retrieval coefficients 
have been developed using MONORTM, which utilizes the HITRAN compilation 
for its spectroscopic parameters.  These new retrievals provide 3 
percent less PWV and 2.6 percent greater LWP than the previous 
retrievals based on Rosenkranz (1998).

At Point Reyes, the original coefficients implemented in March 2005
were based on a version of the Rosenkranz model that had been modified
to use the HITRAN half-width at 22 GHz and to be consistent with the
water vapor continuum in MONORTM.  These retrievals yield nearly
identical results to the MONORTM retrievals.  Therefore, the PT. Reyes
data prior to 20050408.1900 (when the MONORTM-based retrieval was
implemented) may NOT require reprocessing.
Measurements:pyeqmemwrcolM1.c1:
  • Ensemble average for MWR liquid in window centered about balloon release(mean_liq_mwr)
  • Ensemble average for MWR vapor in window centered about balloon release(mean_vap_mwr)

pyemwrtipM1.a1:
  • Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)
  • Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)

pyemwrlosM1.b1:
  • Mean total liquid water amount along LOS path(liq)
  • Mean total water vapor amount along LOS path(vap)

pye5mwravgM1.c1:
  • Mean total liquid water amount along LOS path(liq)
  • Mean total water vapor amount along LOS path(vap)


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DQRID : D050726.4
Start DateStart TimeEnd DateEnd Time
05/29/2005000007/17/20052100
Subject:
PYE/MWR/M1 - Reprocessed: Calibration corrected
DataStreams:pyemwrlosM1.b1, pyemwrtipM1.a1
Description:
On May 28 1:30 GMT the NFOV radiometer was placed in the field of view of the MWR tip 
calibration. Almost immediately calibration of the MWR was compromised resulting in incorrect 
brightness temperatures and overestimation of both PWV and LWP. 

On July 15 the NFOV radiometer was moved away from the MWR and the instantaneous 
calibration values jumped back to normal. The median values returned to normal on July 17 around 
2100.

The LOS data were reprocessed using interpolated values for the calibration coefficients.  
The reprocessed data are available from the ARM Archive effective December 7, 2005.  
NOTE: the format of the reprocessed data are slightly different than the format of the 
original data and the data available before and after the reprocessed data period.  The 
quality of the data are not affected, just the format.

The MWRTIP data can not be reprocessed and should be used with caution.
Measurements:pyemwrtipM1.a1:
  • Noise injection temp at 23.8 GHz derived from this tip(tnd23I)
  • 31.4 GHz sky signal(tipsky31)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)
  • 23.8 GHz goodness-of-fit coefficient(r23)
  • 23.8 GHz sky signal(tipsky23)
  • Temperature correction coefficient at 31.4 GHz(tc31)
  • Noise injection temp at 31.4 GHz derived from this tip(tnd31I)
  • Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • 31.4 GHz goodness-of-fit coefficient(r31)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Temperature correction coefficient at 23.8 GHz(tc23)

pyemwrlosM1.b1:
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • Temperature correction coefficient at 23.8 GHz(tc23)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Mean total liquid water amount along LOS path(liq)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • Mean 23.8 GHz sky brightness temperature(tbsky23)
  • 31.4 GHz sky signal(sky31)
  • 23.8 GHz sky signal(sky23)
  • Mean 31.4 GHz sky brightness temperature(tbsky31)
  • Temperature correction coefficient at 31.4 GHz(tc31)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • Mean total water vapor amount along LOS path(vap)


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DQRID : D050927.1
Start DateStart TimeEnd DateEnd Time
02/01/2005070009/13/20051805
Subject:
PYE/MWR/M1 - New software version (4.15) installed
DataStreams:pyemwrlosM1.b1, pyemwrtipM1.a1
Description:
A problem began with the installation of MWR.EXE version 4.12 in July 2002. The software 
had been upgraded from a "DOS" to a "Windows"-compiled program to address an earlier 
problem.  The software upgrade corrected the earlier problem but introduced a new one that 
caused line-of-sight observing cycles to be skipped, a 15% reduction in the number of tip 
curves, and saturation of CPU usage. Software versions 4.13 and 4.14 also produced these 
problems.

The new MWR software, version 4.15, was installed on 9/13/2005. As a consequence of this 
upgrade, the tip curve frequency increased. The tip cycle time decreased from ~60s to ~50s.
Measurements:pyemwrtipM1.a1:
  • 23.8 GHz sky brightness temperature derived from tip curve(tbsky23tip)
  • Noise injection temp at 23.8 GHz derived from this tip(tnd23I)
  • 31.4 GHz sky signal(tipsky31)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • Blackbody kinetic temperature(tkbb)
  • Ambient temperature(tkair)
  • Noise diode mount temperature(tknd)
  • 31.4 GHz Blackbody signal(bb31)
  • Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)
  • 23.8 GHz Blackbody signal(bb23)
  • 23.8 GHz blackbody+noise injection signal(bbn23)
  • 31.4 GHz sky brightness temperature derived from tip curve(tbsky31tip)
  • 23.8 GHz sky signal(tipsky23)
  • 23.8 GHz goodness-of-fit coefficient(r23)
  • Temperature correction coefficient at 31.4 GHz(tc31)
  • Noise injection temp at 31.4 GHz derived from this tip(tnd31I)
  • Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • Mixer kinetic (physical) temperature(tkxc)
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • 31.4 GHz goodness-of-fit coefficient(r31)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Temperature correction coefficient at 23.8 GHz(tc23)
  • 31.4 GHz blackbody+noise injection signal(bbn31)

pyemwrlosM1.b1:
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • 31.4 GHz blackbody+noise injection signal(bbn31)
  • Temperature correction coefficient at 23.8 GHz(tc23)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Mean total liquid water amount along LOS path(liq)
  • Mixer kinetic (physical) temperature(tkxc)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • 31.4 GHz Blackbody signal(bb31)
  • Mean 23.8 GHz sky brightness temperature(tbsky23)
  • 31.4 GHz sky signal(sky31)
  • 23.8 GHz sky signal(sky23)
  • Ambient temperature(tkair)
  • 23.8 GHz Blackbody signal(bb23)
  • 23.8 GHz blackbody+noise injection signal(bbn23)
  • Noise diode mount temperature(tknd)
  • Mean 31.4 GHz sky brightness temperature(tbsky31)
  • Temperature correction coefficient at 31.4 GHz(tc31)
  • Sky/Cloud Infra-Red Temperature(sky_ir_temp)
  • Blackbody kinetic temperature(tkbb)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • Mean total water vapor amount along LOS path(vap)


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END OF DATA