Data Quality Reports for Session: 122715 User: anuskitade Completed: 09/16/2009


TABLE OF CONTENTS

DQR IDSubjectData Streams Affected
D030312.10SGP/MWR/C1 - Intermittent Negative Sky Brightness Temperaturessgp1mwravgC1.c1, sgp5mwravgC1.c1, sgpmwrlosC1.a1, sgpmwrlosC1.b1
D050310.3TWP/MWR/C2 - Heater problemtwp5mwravgC2.c1, twpmwrlosC2.b1, twpmwrtipC2.a1
D050722.1SGP/MWR/C1 - REPROCESS - Revised Retrieval Coefficientssgp1mwravgC1.c1, sgp5mwravgC1.c1, sgpmwrlosC1.a1, sgpmwrlosC1.b1, sgpmwrtipC1.a1,
sgpqmemwrcolC1.c1
D050725.10TWP/MWR/C2 - Reprocessed: Revised Retrieval Coefficientstwp5mwravgC2.c1, twpmwrlosC2.b1, twpqmemwrcolC2.c1
D050725.9TWP/MWR/C1 - Reprocessed: Revised Retrieval Coefficientstwp5mwravgC1.c1, twpmwrlosC1.b1, twpmwrtipC1.a1
D050915.1SGP/MWR/C1 - Instrument noise problemsgp1mwravgC1.c1, sgp5mwravgC1.c1, sgpmwrlosC1.b1, sgpmwrtipC1.a1
D061002.1TWP/MWR/C2 - Missing datatwp5mwravgC2.c1, twpmwrC2.00, twpmwrlosC2.b1, twpmwrtipC2.a1
D951005.4SGP/MWR/C1 - Valid LWP > 1mm excluded from 5 min avgssgp5mwravgC1.c1
D960405.1SGP/MWR/C1 - Loss of thermal stabilizationsgp1mwravgC1.c1, sgp5mwravgC1.c1, sgpmwrlosC1.a1, sgpmwrlosC1.b1
D960422.1SGP/MWR/C1 - Radio Frequency Interference during IOPsgp5mwravgC1.c1, sgpmwrlosC1.a1, sgpmwrlosC1.b1
D961120.1SGP/MWR/B1/B4/B5/B6/C1 - Thermal Stabilization Adjustmentsgp1mwravgC1.c1, sgp5mwravgB1.c1, sgp5mwravgB4.c1, sgp5mwravgB5.c1, sgp5mwravgB6.c1,
sgp5mwravgC1.c1, sgpmwrlosB1.a0, sgpmwrlosB1.a1, sgpmwrlosB4.a0, sgpmwrlosB4.a1,
sgpmwrlosB5.a0, sgpmwrlosB5.a1, sgpmwrlosB6.a0, sgpmwrlosB6.a1, sgpmwrlosC1.a1, sgpmwrlosC1.b1


DQRID : D030312.10
Start DateStart TimeEnd DateEnd Time
11/17/1999180007/31/20022034
Subject:
SGP/MWR/C1 - Intermittent Negative Sky Brightness Temperatures
DataStreams:sgp1mwravgC1.c1, sgp5mwravgC1.c1, sgpmwrlosC1.a1, sgpmwrlosC1.b1
Description:
Several related and recurring problems with the SGP MWRs have been
reported dating back to 1999.  These problems were due to the
occurrence of blackbody signals (in counts) that were half of those
expected. The symptoms included noisy data (especially at Purcell),
spikes in the data (especially at Vici), negative brightness
temperatures, and apparent loss of serial communication between the
computer and the radiometer, which results in a self-termination of the
MWR program (especially at the CF).

Because these all initially appeared to be hardware-related problems,
the instrument mentor and SGP site operations personnel (1) repeatedly
cleaned and replaced the fiber optic comm. components, (2) swapped
radiometers, (3) sent radiometers back to Radiometrics for evaluation
(which has not revealed any instrument problems), and (4) reconfigured
the computer's operating system.  Despite several attempts to isolate
and correct it, the problem persisted.

It became apparent that some component of the Windows98 configuration
conflicted with the DOS-based MWR program or affected the serial port
or the contents of the serial port buffer. This problem was finally
corrected by upgrading the MWR software with a new Windows-compatible
program.
Measurements:sgp5mwravgC1.c1:
  • Averaged total liquid water along LOS path(liq)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • MWR column precipitable water vapor(vap)
  • Sky brightness temperature at 31.4 GHz(tbsky31)

sgpmwrlosC1.b1:
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)
  • Sky brightness temperature at 23.8 GHz(tbsky23)

sgp1mwravgC1.c1:
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)
  • Sky brightness temperature at 31.4 GHz(tbsky31)

sgpmwrlosC1.a1:
  • MWR column precipitable water vapor(vap)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • Averaged total liquid water along LOS path(liq)


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DQRID : D050310.3
Start DateStart TimeEnd DateEnd Time
02/04/2005234003/14/20051650
Subject:
TWP/MWR/C2 - Heater problem
DataStreams:twp5mwravgC2.c1, twpmwrlosC2.b1, twpmwrtipC2.a1
Description:
When the wiring of the air temperature sensor was checked the heater apparently began 
activating too often.
Measurements:twpmwrlosC2.b1:
  • Water on Teflon window (1=WET, 0=DRY)(wet_window)

twp5mwravgC2.c1:
  • Fraction of data in averaging interval with water on Teflon window(water_flag_fraction)

twpmwrtipC2.a1:
  • Water on Teflon window (1=WET, 0=DRY)(wet_window)


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DQRID : D050722.1
Start DateStart TimeEnd DateEnd Time
04/16/2002200006/28/20052300
Subject:
SGP/MWR/C1 - REPROCESS - Revised Retrieval Coefficients
DataStreams:sgp1mwravgC1.c1, sgp5mwravgC1.c1, sgpmwrlosC1.a1, sgpmwrlosC1.b1, sgpmwrtipC1.a1,
sgpqmemwrcolC1.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).

Although the MWR data will be reprocessed to apply the new monortm-based retrievals, for 
most purposes it will be sufficient to correct the data using the following factors:

PWV_MONORTM = 0.9695 * PWV_ROSENKRANZ
LWP_MONORTM = 1.026  * LWP_ROSENKRANZ

The Rosenkranz-based retrieval coefficients became active as follows (BCR 456):
SGP/C1 (Lamont)     4/16/2002, 2000
SGP/B1 (Hillsboro)  4/12/2002, 1600
SGP/B4 (Vici)       4/15/2002, 2300
SGP/B5 (Morris)     4/15/2002, 2300
SGP/B6 (Purcell)    4/16/2002, 2200
SGP/E14(Lamont)     4/16/2002, 0000
NSA/C1 (Barrow)     4/25/2002, 1900 
NSA/C2 (Atqasuk)    4/18/2002, 1700
TWP/C1 (Manus)      5/04/2002, 0200
TWP/C2 (Nauru)      4/27/2002, 0600
TWP/C3 (Darwin)     inception

The MONORTM-based retrieval coefficients became active as follows (BCR 984):

SGP/C1 (Lamont)     6/28/2005, 2300
SGP/B1 (Hillsboro)  6/24/2005, 2100
SGP/B4 (Vici)       6/24/2005, 2100
SGP/B5 (Morris)     6/24/2005, 2100
SGP/B6 (Purcell)    6/24/2005, 1942
SGP/E14(Lamont)     6/28/2005, 2300
NSA/C1 (Barrow)     6/29/2005, 0000 
NSA/C2 (Atqasuk)    6/29/2005, 0000
TWP/C1 (Manus)      6/30/2005, 2100
TWP/C2 (Nauru)      6/30/2005, 2100
TWP/C3 (Darwin)     6/30/2005, 2100
PYE/M1 (Pt. Reyes)  4/08/2005, 1900**

** At Pt. Reyes, the original retrieval 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 4/08/2005 may not require reprocessing.
Measurements:sgpmwrtipC1.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)

sgp5mwravgC1.c1:
  • MWR column precipitable water vapor(vap)
  • Averaged total liquid water along LOS path(liq)

sgpmwrlosC1.b1:
  • MWR column precipitable water vapor(vap)
  • Averaged total liquid water along LOS path(liq)

sgp1mwravgC1.c1:
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)

sgpqmemwrcolC1.c1:
  • Ensemble average for MWR vapor in window centered about balloon release(mean_vap_mwr)
  • Ensemble average for MWR liquid in window centered about balloon release(mean_liq_mwr)

sgpmwrlosC1.a1:
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)


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DQRID : D050725.10
Start DateStart TimeEnd DateEnd Time
04/27/2002060006/30/20052100
Subject:
TWP/MWR/C2 - Reprocessed: Revised Retrieval Coefficients
DataStreams:twp5mwravgC2.c1, twpmwrlosC2.b1, twpqmemwrcolC2.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).

The Rosenkranz-based retrieval coefficients became active at TWP.C2 20020427.0600.  The 
MONORTM-based retrieval coefficients became active at TWP.C2 20050630.2100.

Note: The TWP.C2 data for 19981028-20050630 have been reprocessed to apply the 
MONORTM-based retrievals for all time.  The reprocessed data were archived 20061003.
Measurements:twpmwrlosC2.b1:
  • MWR column precipitable water vapor(vap)
  • Averaged total liquid water along LOS path(liq)

twpqmemwrcolC2.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)

twp5mwravgC2.c1:
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)


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DQRID : D050725.9
Start DateStart TimeEnd DateEnd Time
05/04/2002020006/30/20052100
Subject:
TWP/MWR/C1 - Reprocessed: Revised Retrieval Coefficients
DataStreams:twp5mwravgC1.c1, twpmwrlosC1.b1, twpmwrtipC1.a1
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).

The Rosenkranz-based retrieval coefficients became active at TWP.C1 
20020504.0200.  The MONORTM-based retrieval coefficients became active 
at TWP.C1 20050630.2100.

Note: The TWP.C1 data for 19961011-20050630 have been reprocessed to apply the
Measurements:twpmwrlosC1.b1:
  • MWR column precipitable water vapor(vap)
  • Averaged total liquid water along LOS path(liq)

twp5mwravgC1.c1:
  • MWR column precipitable water vapor(vap)
  • Averaged total liquid water along LOS path(liq)

twpmwrtipC1.a1:
  • Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)
  • Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)


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DQRID : D050915.1
Start DateStart TimeEnd DateEnd Time
07/28/2005140008/05/20051700
Subject:
SGP/MWR/C1 - Instrument noise problem
DataStreams:sgp1mwravgC1.c1, sgp5mwravgC1.c1, sgpmwrlosC1.b1, sgpmwrtipC1.a1
Description:
Various variables including the mixer temperatures were very noisy. After several attempts 
to fix the problem, the instrument was taken off line and returned to the manufacturer 
for repair.
Measurements:sgpmwrtipC1.a1:
  • 31.4 GHz blac2body+noise injection signal(bbn31)
  • 31.4 GHz blackbody(bb31)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • (tknd)
  • Water on Teflon window (1=WET, 0=DRY)(wet_window)
  • Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Blackbody kinetic temperature(tkbb)
  • 23.8 GHz Blackbody signal(bb23)
  • Temperature correction coefficient at 23.8 GHz(tc23)
  • Ambient temperature(tkair)
  • Mixer kinetic (physical) temperature(tkxc)
  • 23.8 GHz blackbody+noise injection signal(bbn23)
  • Noise injection temp at 23.8 GHz derived from this tip(tnd23I)
  • 31.4 GHz sky signal(tipsky31)
  • Noise injection temp at 31.4 GHz derived from this tip(tnd31I)
  • Temperature correction coefficient at 31.4 GHz(tc31)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • 23.8 GHz sky signal(tipsky23)
  • Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • 31.4 GHz sky brightness temperature derived from tip curve(tbsky31tip)
  • 31.4 GHz goodness-of-fit coefficient(r31)
  • 23.8 GHz sky brightness temperature derived from tip curve(tbsky23tip)
  • 23.8 GHz goodness-of-fit coefficient(r23)

sgp5mwravgC1.c1:
  • Flag indicating where the initial surface water measurements are from: 0-> SMOS,
    1-> AERI(water_flag)
  • Fraction of data in averaging interval with water on Teflon window(water_flag_fraction)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • Standard deviation about the mean for the IR brightness temperature(ir_temp_sdev)
  • Number of data points averaged out of 15(number_obs_averaged)
  • Standard deviation about the mean for the 31.4 GHz sky brightness temperature(tbsky31_sdev)
  • Standard deviation about the mean for the total water vapor amount(vap_sdev)
  • Averaged total liquid water along LOS path(liq)
  • IR Brightness Temperature(ir_temp)
  • Probability of level change in ratio of averaged brightness temps(prob_level_change)
  • Standard deviation about the mean for the 23.8 GHz sky brightness temperature(tbsky23_sdev)
  • Probability of slope change in ratio of averaged brightness temps(prob_slope_change)
  • Probability of outlier in ratio of averaged brightness temps(prob_outlier)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • Standard deviation about the mean for the total liquid water amount(liq_sdev)
  • MWR column precipitable water vapor(vap)

sgpmwrlosC1.b1:
  • 31.4 GHz sky signal(sky31)
  • Water on Teflon window (1=WET, 0=DRY)(wet_window)
  • 31.4 GHz blac2body+noise injection signal(bbn31)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • 23.8 GHz sky signal(sky23)
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Averaged total liquid water along LOS path(liq)
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • 31.4 GHz blackbody(bb31)
  • Temperature correction coefficient at 31.4 GHz(tc31)
  • Blackbody kinetic temperature(tkbb)
  • Sky Infra-Red Temperature(sky_ir_temp)
  • MWR column precipitable water vapor(vap)
  • Ambient temperature(tkair)
  • 23.8 GHz Blackbody signal(bb23)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Mixer kinetic (physical) temperature(tkxc)
  • (tknd)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • 23.8 GHz blackbody+noise injection signal(bbn23)
  • Temperature correction coefficient at 23.8 GHz(tc23)

sgp1mwravgC1.c1:
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Fraction of data in averaging interval flagged by Dynamic Linear Model as poten(dlm_flag_fraction)
  • Standard deviation about the mean for the total water vapor amount(vap_sdev)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • Standard deviation about the mean for the IR brightness temperature(ir_temp_sdev)
  • IR Brightness Temperature(ir_temp)
  • MWR column precipitable water vapor(vap)
  • Number of contiguous periods in averaging interval flagged by Dynamic Linear Mo(dlm_flag_periods)
  • Standard deviation about the mean for the 23.8 GHz sky brightness temperature(tbsky23_sdev)
  • Standard deviation about the mean for the total liquid water amount(liq_sdev)
  • Number of contiguous periods in averaging interval with water on Teflon window(water_flag_periods)
  • Standard deviation about the mean for the 31.4 GHz sky brightness temperature(tbsky31_sdev)
  • Fraction of data in averaging interval with water on Teflon window(water_flag_fraction)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • Averaged total liquid water along LOS path(liq)
  • Sky brightness temperature at 31.4 GHz(tbsky31)


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DQRID : D061002.1
Start DateStart TimeEnd DateEnd Time
09/14/2006150011/27/20061900
Subject:
TWP/MWR/C2 - Missing data
DataStreams:twp5mwravgC2.c1, twpmwrC2.00, twpmwrlosC2.b1, twpmwrtipC2.a1
Description:
The heater blower assembly was causing the fuse to blow.  The instrument was taken offline 
until a replacement arrives.
Measurements:twpmwrlosC2.b1:
  • 31.4 GHz sky signal(sky31)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Mixer kinetic (physical) temperature(tkxc)
  • 23.8 GHz blackbody+noise injection signal(bbn23)
  • Blackbody kinetic temperature(tkbb)
  • lat(lat)
  • Water on Teflon window (1=WET, 0=DRY)(wet_window)
  • Temperature correction coefficient at 23.8 GHz(tc23)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • 31.4 GHz blackbody(bb31)
  • MWR column precipitable water vapor(vap)
  • 23.8 GHz sky signal(sky23)
  • Ambient temperature(tkair)
  • IR Brightness Temperature(ir_temp)
  • base time(base_time)
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • 31.4 GHz blac2body+noise injection signal(bbn31)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • Averaged total liquid water along LOS path(liq)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • lon(lon)
  • 23.8 GHz Blackbody signal(bb23)
  • (tknd)
  • Actual Azimuth(actaz)
  • Time offset of tweaks from base_time(time_offset)
  • Actual elevation angle(actel)
  • Dummy altitude for Zeb(alt)
  • Sky Infra-Red Temperature(sky_ir_temp)
  • Temperature correction coefficient at 31.4 GHz(tc31)

twpmwrC2.00:
  • null(Raw data stream - documentation not supported)

twp5mwravgC2.c1:
  • lat(lat)
  • Standard deviation about the mean for the total water vapor amount(vap_sdev)
  • lon(lon)
  • Fraction of data in averaging interval with water on Teflon window(water_flag_fraction)
  • Averaged total liquid water along LOS path(liq)
  • Standard deviation about the mean for the 31.4 GHz sky brightness temperature(tbsky31_sdev)
  • IR Brightness Temperature(ir_temp)
  • Time offset of tweaks from base_time(time_offset)
  • Number of data points averaged for 23tbsky, 31tbsky, vap & liq(num_obs)
  • Standard deviation about the mean for the 23.8 GHz sky brightness temperature(tbsky23_sdev)
  • Dummy altitude for Zeb(alt)
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • Number of points included in the ir_temp ensemble(num_obs_irt)
  • base time(base_time)
  • Standard deviation about the mean for the IR brightness temperature(ir_temp_sdev)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • MWR column precipitable water vapor(vap)
  • Standard deviation about the mean for the total liquid water amount(liq_sdev)

twpmwrtipC2.a1:
  • 31.4 GHz sky signal(tipsky31)
  • lat(lat)
  • Noise injection temp at 31.4 GHz derived from this tip(tnd31I)
  • 31.4 GHz goodness-of-fit coefficient(r31)
  • Actual Azimuth(actaz)
  • 23.8 GHz sky signal(tipsky23)
  • 31.4 GHz blac2body+noise injection signal(bbn31)
  • 31.4 GHz blackbody(bb31)
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • Ambient temperature(tkair)
  • Dummy altitude for Zeb(alt)
  • (tknd)
  • base time(base_time)
  • Blackbody kinetic temperature(tkbb)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Water on Teflon window (1=WET, 0=DRY)(wet_window)
  • 23.8 GHz goodness-of-fit coefficient(r23)
  • Time offset of tweaks from base_time(time_offset)
  • Temperature correction coefficient at 23.8 GHz(tc23)
  • Actual elevation angle(actel)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • 23.8 GHz Blackbody signal(bb23)
  • Noise injection temp at 23.8 GHz derived from this tip(tnd23I)
  • lon(lon)
  • 23.8 GHz blackbody+noise injection signal(bbn23)
  • Temperature correction coefficient at 31.4 GHz(tc31)
  • Mixer kinetic (physical) temperature(tkxc)


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DQRID : D951005.4
Start DateStart TimeEnd DateEnd Time
10/09/1993000510/12/19952359
Subject:
SGP/MWR/C1 - Valid LWP > 1mm excluded from 5 min avgs
DataStreams:sgp5mwravgC1.c1
Description:
The limit of maximum valid liquid water path was set at 1 mm.  Although
this limit was selected 'conservatively' so as to definitely flag
precipitation-contaminated data in the 20-second (sgpmwrlos) files,
the effect has been to exclude valid liquid water paths greater than 1
mm from the 5-minute averages (sgp5mwravg).

The maximum limits for precipitable water vapor (PWV) and liquid water
path (LWP) have been removed, and the averaging algorithm instead
excludes data on the basis of the brightness temperature flags.  These
flags are set below a minimum of 2.75 K (cosmic background) and above
a maximum of 100 K (precipitation).
Measurements:sgp5mwravgC1.c1:
  • Averaged total liquid water along LOS path(liq)
  • Standard deviation about the mean for the total liquid water amount(liq_sdev)


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DQRID : D960405.1
Start DateStart TimeEnd DateEnd Time
08/19/1995000008/20/19952359
08/26/1995000009/04/19952359
07/01/1996182507/23/19962300
Subject:
SGP/MWR/C1 - Loss of thermal stabilization
DataStreams:sgp1mwravgC1.c1, sgp5mwravgC1.c1, sgpmwrlosC1.a1, sgpmwrlosC1.b1
Description:
Periodically during August and September 1995 all microwave radiometers
at the SGP CART generated error messages in the Site Operations Log
like:

  Time: Sat Aug 19 18:41:20 1995
  MWRLOS.C1, tkxc: Value above Maximum.

This indicates that the temperature of the microwave hardware
(specifically, the cross-coupler or "xc") exceeded its controlled
temperature (47-52 deg C) at which point it was no longer thermally
stabilized and the gain was uncontrolled.  During these periods which
typically last about 8 hours from about local noon until about sunset
the data behave anomalously and should be considered invalid.

Specifically the precipitable water vapor increases and the liquid
water path decreases (and becomes SIGNIFICANTLY NEGATIVE (-0.1 mm) on
clear sky days).  The RMS noise level in the data also increases
sharply.  The 'Tkxc' field appears ONLY in the a0-level data and does
NOT appear in either the a1 (mwrlos) or c1 (mwr5avg) files.  Therefore
THESE ANOMALOUS VALUES HAVE BEEN INCLUDED IN THE 5-MINUTE AVERAGES.

The microwave hardware is thermally stabilized to about +/- 0.1 deg C
by resistive heating.  When the internal temperature rises above the
set point the thermal stabilization of the instrument gain is lost.
>From an examination of the component temperature data it appears that
increasing the set point temperature to about 55 deg C (328 K) would
prevent a re-ocurrance of this problem at the SGP.  The manufacturer,
Radiometrics, concurs that raising the set point will fix this problem
and will not cause other problems.

I will have to carefully examine the MCTEX data to determine whether
this will be a problem for the TWP.  The manufacturer and I had
discussed this possibility prior to building the TWP MWRs (S/N 015,
016, and 017) and those instruments have set points above 50 deg C.
Note that MWR 018 has a set point near 52 deg C (like the TWP models)
but it still experienced a few loss-of-stabilization events.

Note that the instruments with the lowest set points had the most
loss-of-stabilization events.
Measurements:sgp5mwravgC1.c1:
  • 31.4 GHz sky brightness temperature(31tbsky)
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)
  • 23.8 GHz sky brightness temperature(23tbsky)

sgpmwrlosC1.b1:
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)
  • Sky brightness temperature at 23.8 GHz(tbsky23)

sgp1mwravgC1.c1:
  • 23.8 GHz sky brightness temperature(23tbsky)
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)
  • 31.4 GHz sky brightness temperature(31tbsky)

sgpmwrlosC1.a1:
  • MWR column precipitable water vapor(vap)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • Averaged total liquid water along LOS path(liq)


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DQRID : D960422.1
Start DateStart TimeEnd DateEnd Time
04/09/1996133704/09/19961834
04/10/1996062504/10/19961823
04/11/1996114904/11/19961649
04/12/1996091704/12/19961858
04/13/1996060504/13/19961801
Subject:
SGP/MWR/C1 - Radio Frequency Interference during IOP
DataStreams:sgp5mwravgC1.c1, sgpmwrlosC1.a1, sgpmwrlosC1.b1
Description:
During the specified times a strong, continuous signal was 
measured by the 31.4 GHz of the MWR.  The signal was present
in all 31.4 GHz measurements including the sky measurement,
the internal reference target measurement, and the measurement
of the internal noise injection source from which the
instantaneous instrument gain is computed.

The source of the interference has not yet been identified.

Because the gain is computed using the difference of the
noise injection and target measurements, and because the
sky brightness temperature is computed relative to the
internal target temperature, the data appear anomalous
only for a period of an hour after the interference starts
and ends.  This is due to the low pass filter applied to
the instantaneous gain.  However the data should be
considered invalid or at least questionable during the
entire period for which the interference was present.
Measurements:sgp5mwravgC1.c1:
  • Flag indicating where the initial surface water measurements are from: 0-> SMOS,
    1-> AERI(water_flag)
  • Fraction of data in averaging interval with water on Teflon window(water_flag_fraction)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • Standard deviation about the mean for the IR brightness temperature(ir_temp_sdev)
  • Number of data points averaged out of 15(number_obs_averaged)
  • base time(base_time)
  • Standard deviation about the mean for the 31.4 GHz sky brightness temperature(tbsky31_sdev)
  • Standard deviation about the mean for the total water vapor amount(vap_sdev)
  • Averaged total liquid water along LOS path(liq)
  • IR Brightness Temperature(ir_temp)
  • Probability of level change in ratio of averaged brightness temps(prob_level_change)
  • Standard deviation about the mean for the 23.8 GHz sky brightness temperature(tbsky23_sdev)
  • lon(lon)
  • Probability of slope change in ratio of averaged brightness temps(prob_slope_change)
  • Number of data points averaged for 23tbsky, 31tbsky, vap & liq(num_obs)
  • Probability of outlier in ratio of averaged brightness temps(prob_outlier)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • Number of points included in the ir_temp ensemble(num_obs_irt)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • Standard deviation about the mean for the total liquid water amount(liq_sdev)
  • Dummy altitude for Zeb(alt)
  • MWR column precipitable water vapor(vap)
  • Time offset of tweaks from base_time(time_offset)
  • lat(lat)

sgpmwrlosC1.b1:
  • 31.4 GHz sky signal(sky31)
  • Water on Teflon window (1=WET, 0=DRY)(wet_window)
  • Dummy altitude for Zeb(alt)
  • 31.4 GHz blac2body+noise injection signal(bbn31)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • 23.8 GHz sky signal(sky23)
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • lon(lon)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Averaged total liquid water along LOS path(liq)
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • 31.4 GHz blackbody(bb31)
  • Temperature correction coefficient at 31.4 GHz(tc31)
  • Blackbody kinetic temperature(tkbb)
  • Sky Infra-Red Temperature(sky_ir_temp)
  • MWR column precipitable water vapor(vap)
  • Ambient temperature(tkair)
  • 23.8 GHz Blackbody signal(bb23)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Mixer kinetic (physical) temperature(tkxc)
  • Time offset of tweaks from base_time(time_offset)
  • base time(base_time)
  • (tknd)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • 23.8 GHz blackbody+noise injection signal(bbn23)
  • Temperature correction coefficient at 23.8 GHz(tc23)
  • lat(lat)

sgpmwrlosC1.a1:
  • 31.4 GHz blac2body+noise injection signal(bbn31)
  • Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • 23.8 GHz sky signal(sky23)
  • Temperature correction coefficient at 23.8 GHz(tc23)
  • MWR column precipitable water vapor(vap)
  • (tknd)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Ambient temperature(tkair)
  • Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
  • 23.8 GHz Blackbody signal(bb23)
  • Mixer kinetic (physical) temperature(tkxc)
  • Water on Teflon window (1=WET, 0=DRY)(wet_window)
  • 31.4 GHz sky signal(sky31)
  • Dummy altitude for Zeb(alt)
  • lon(lon)
  • Temperature correction coefficient at 31.4 GHz(tc31)
  • 31.4 GHz blackbody(bb31)
  • Blackbody kinetic temperature(tkbb)
  • lat(lat)
  • Sky Infra-Red Temperature(sky_ir_temp)
  • Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
  • Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
  • Averaged total liquid water along LOS path(liq)
  • 23.8 GHz blackbody+noise injection signal(bbn23)
  • base time(base_time)
  • Time offset of tweaks from base_time(time_offset)


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DQRID : D961120.1
Start DateStart TimeEnd DateEnd Time
08/01/1996000008/31/19962359
Subject:
SGP/MWR/B1/B4/B5/B6/C1 - Thermal Stabilization Adjustment
DataStreams:sgp1mwravgC1.c1, sgp5mwravgB1.c1, sgp5mwravgB4.c1, sgp5mwravgB5.c1, sgp5mwravgB6.c1,
sgp5mwravgC1.c1, sgpmwrlosB1.a0, sgpmwrlosB1.a1, sgpmwrlosB4.a0, sgpmwrlosB4.a1,
sgpmwrlosB5.a0, sgpmwrlosB5.a1, sgpmwrlosB6.a0, sgpmwrlosB6.a1, sgpmwrlosC1.a1, sgpmwrlosC1.b1
Description:
In order to correct a thermal stabilization problem identified earlier
I adjusted the thermal set point of the microwave radiometers at the
SGP upward from 48-50 deg C to 55 deg C in early August 1996 according
to the schedule given below.

B6    5 August 1996
C1    6 August 1996
B1    7 August 1996
B5    8 August 1996

Subsequent to making this adjustment the MWRs were put in TIP mode to
check on whether the change in set point temperature affected their
calibration.  Because clear sky conditions were quite intermittent, it
is difficult to determine whether the substantial variability in the
tip data were attributable to the change in thermal set point.  The
instrument calibration was not altered in August.

Tip data were again collected with these instruments in September prior
to the beginning and at the close of the Water Vapor IOP.  For example,
the calibration of the instrument at the central facility (S/N 10)
derived from the September data was essentially the same as that
derived from calibration data acquired in February 1996.  Although this
would lead one to believe that altering the thermal set point did not
affect the instrument calibration, it may be that some transient effect
was induced.

In comparing soundings launched from the central facility with the
microwave radiometer there, I noticed that those sondes calibrated in
June 1996 consistently reported lower integrated water vapor than the
radiometer in July and September (during the IOP) but were in better
agreement with the radiometer for the two weeks period immediately
after the set point was adjusted.  I suspect that adjusting the thermal
set point may have temporarily increased the radiometer gain
(kelvins/volt) thereby lowering the measured brightness temperature and
the retrieved integrated water vapor.

It is not clear why a temporary change in gain should occur or even
whether it did.  But users of the data should be aware that the data
from the microwave radiometers at the SGP may be anomalous during
August 1996.
Measurements:sgpmwrlosB5.a1:
  • MWR column precipitable water vapor(vap)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • Averaged total liquid water along LOS path(liq)
  • 23.8 GHz sky brightness temperature(23tbsky)

sgp5mwravgC1.c1:
  • 23.8 GHz sky brightness temperature(23tbsky)
  • Averaged total liquid water along LOS path(liq)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • MWR column precipitable water vapor(vap)

sgp5mwravgB6.c1:
  • 23.8 GHz sky brightness temperature(23tbsky)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)

sgpmwrlosB4.a0:
  • 23.8 GHz sky brightness temperature(23tbsky)
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)
  • 31.4 GHz sky brightness temperature(31tbsky)

sgpmwrlosB6.a0:
  • Averaged total liquid water along LOS path(liq)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • MWR column precipitable water vapor(vap)
  • 31.4 GHz sky brightness temperature(31tbsky)

sgpmwrlosC1.b1:
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)
  • Sky brightness temperature at 23.8 GHz(tbsky23)

sgpmwrlosB1.a0:
  • Averaged total liquid water along LOS path(liq)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • MWR column precipitable water vapor(vap)
  • 31.4 GHz sky brightness temperature(31tbsky)

sgp1mwravgC1.c1:
  • 23.8 GHz sky brightness temperature(23tbsky)
  • MWR column precipitable water vapor(vap)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • Averaged total liquid water along LOS path(liq)

sgpmwrlosC1.a1:
  • Sky brightness temperature at 31.4 GHz(tbsky31)
  • MWR column precipitable water vapor(vap)
  • Sky brightness temperature at 23.8 GHz(tbsky23)
  • Averaged total liquid water along LOS path(liq)

sgpmwrlosB4.a1:
  • Averaged total liquid water along LOS path(liq)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • MWR column precipitable water vapor(vap)

sgpmwrlosB1.a1:
  • MWR column precipitable water vapor(vap)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • Averaged total liquid water along LOS path(liq)

sgp5mwravgB1.c1:
  • MWR column precipitable water vapor(vap)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • Averaged total liquid water along LOS path(liq)

sgp5mwravgB5.c1:
  • Averaged total liquid water along LOS path(liq)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • MWR column precipitable water vapor(vap)

sgpmwrlosB5.a0:
  • 23.8 GHz sky brightness temperature(23tbsky)
  • Averaged total liquid water along LOS path(liq)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • MWR column precipitable water vapor(vap)

sgp5mwravgB4.c1:
  • MWR column precipitable water vapor(vap)
  • Averaged total liquid water along LOS path(liq)
  • 23.8 GHz sky brightness temperature(23tbsky)
  • 31.4 GHz sky brightness temperature(31tbsky)

sgpmwrlosB6.a1:
  • Averaged total liquid water along LOS path(liq)
  • MWR column precipitable water vapor(vap)
  • 31.4 GHz sky brightness temperature(31tbsky)
  • 23.8 GHz sky brightness temperature(23tbsky)


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END OF DATA