DQR ID | Subject | Data Streams Affected |
---|
D031106.2 | SGP/MWR/B4 - no air temperature signal | sgpmwrlosB4.b1, sgpmwrtipB4.a1 |
D040210.2 | SGP/MWR/B6 - Heater problem | sgpmwrlosB6.a1, sgpmwrlosB6.b1, sgpmwrtipB6.a1 |
D041021.3 | SGP/MWR/B4 - Heater problem | sgpmwrlosB4.b1, sgpmwrtipB4.a1 |
D050725.2 | SGP/MWR/B1 - Reprocess: Revised Retrieval Coefficients | sgp5mwravgB1.c1, sgpmwrlosB1.a1, sgpmwrlosB1.b1, sgpmwrtipB1.a1, sgpqmemwrcolB1.c1 |
D050725.3 | SGP/MWR/B4 - Reprocess: Revised Retrieval Coefficients | sgp5mwravgB4.c1, sgpmwrlosB4.a1, sgpmwrlosB4.b1, sgpmwrtipB4.a1, sgpqmemwrcolB4.c1 |
D050725.4 | SGP/MWR/B5 - Reprocess: Revised Retrieval Coefficients | sgp5mwravgB5.c1, sgpmwrlosB5.a1, sgpmwrlosB5.b1, sgpmwrtipB5.a1, sgpqmemwrcolB5.c1 |
D050725.5 | SGP/MWR/B6 - Reprocess: Revised Retrieval Coefficients | sgp5mwravgB6.c1, sgpmwrlosB6.a1, sgpmwrlosB6.b1, sgpmwrtipB6.a1, sgpqmemwrcolB6.c1 |
D050927.2 | SGP/MWR/B1 - New software version (4.15) installed | sgpmwrlosB1.b1, sgpmwrtipB1.a1 |
D050927.3 | SGP/MWR/B4 - New software version (4.15) installed | sgpmwrlosB4.b1, sgpmwrtipB4.a1 |
D050927.4 | SGP/MWR/B5 - New software version (4.15) installed | sgpmwrlosB5.b1, sgpmwrtipB5.a1 |
D050928.6 | SGP/MWR/B6 - New software version (4.15) installed | sgpmwrlosB6.b1, sgpmwrtipB6.a1 |
D060420.1 | SGP/MWR/B4 - Reprocess: wrong retrievals | sgpmwrlosB4.a1, sgpmwrlosB4.b1, sgpmwrtipB4.a1, sgpqmemwrcolB4.c1 |
D060420.3 | SGP/MWR/B5 - Reprocess: wrong retrievals | sgpmwrlosB5.a1, sgpmwrlosB5.b1, sgpmwrtipB5.a1, sgpqmemwrcolB5.c1 |
D060420.4 | SGP/MWR/B6 - Reprocess: wrong retrievals | sgpmwrlosB6.a1, sgpmwrlosB6.b1, sgpmwrtipB6.a1, sgpqmemwrcolB6.c1 |
D080701.2 | SGP/MWR/B4 - Missing data | sgpmwrlosB4.b1, sgpmwrtipB4.a1 |
D080724.1 | SGP/MWR/B5 - Missing data | sgpmwrlosB5.b1 |
D090202.4 | SGP/MWR/B1 - Missing data | sgpmwrlosB1.b1 |
Subject: | SGP/MWR/B1 - Reprocess: Revised Retrieval Coefficients |
DataStreams: | sgp5mwravgB1.c1, sgpmwrlosB1.a1, sgpmwrlosB1.b1, sgpmwrtipB1.a1, sgpqmemwrcolB1.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 at SGP.B1 20020412.1600. The
MONORTM-based retrieval coefficients became active at SGP.B1 20050624.2100.
Note: a reprocessing effort is already underway to apply the Rosenkranz-based retrieval
coefficients to all MWR prior to April 2002. An additional reprocessing task will be
undertaken to apply the MONORTM retrieval to all MWR data when the first is completed. Read
reprocessing comments in the netcdf file header carefully to ensure you are aware which
retrieval is in play. |
Measurements: | sgpmwrlosB1.a1: - MWR column precipitable water vapor(vap)
- Averaged total liquid water along LOS path(liq)
sgpmwrlosB1.b1: - Averaged total liquid water along LOS path(liq)
- MWR column precipitable water vapor(vap)
sgp5mwravgB1.c1: - MWR column precipitable water vapor(vap)
- Averaged total liquid water along LOS path(liq)
sgpmwrtipB1.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)
sgpqmemwrcolB1.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)
|
Subject: | SGP/MWR/B4 - Reprocess: Revised Retrieval Coefficients |
DataStreams: | sgp5mwravgB4.c1, sgpmwrlosB4.a1, sgpmwrlosB4.b1, sgpmwrtipB4.a1, sgpqmemwrcolB4.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 at SGP.B4 20020415.2300. The
MONORTM-based retrieval coefficients became active at SGP.B4 20050624.2100.
Note: a reprocessing effort is already underway to apply the Rosenkranz-based retrieval
coefficients to all MWR prior to April 2002. An additional reprocessing task will be
undertaken to apply the MONORTM retrieval to all MWR data when the first is completed. Read
reprocessing comments in the netcdf file header carefully to ensure you are aware which
retrieval is in play. |
Measurements: | sgpmwrlosB4.b1: - Averaged total liquid water along LOS path(liq)
- MWR column precipitable water vapor(vap)
sgpmwrtipB4.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)
sgpqmemwrcolB4.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)
sgp5mwravgB4.c1: - Averaged total liquid water along LOS path(liq)
- MWR column precipitable water vapor(vap)
sgpmwrlosB4.a1: - MWR column precipitable water vapor(vap)
- Averaged total liquid water along LOS path(liq)
|
Subject: | SGP/MWR/B5 - Reprocess: Revised Retrieval Coefficients |
DataStreams: | sgp5mwravgB5.c1, sgpmwrlosB5.a1, sgpmwrlosB5.b1, sgpmwrtipB5.a1, sgpqmemwrcolB5.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 at SGP.B5
20020415.2300. The MONORTM-based retrieval coefficients became active
at SGP.B5 20050624.2100.
Note: a reprocessing effort is already underway to apply the
Rosenkranz-based retrieval coefficients to all MWR prior to April
2002. An additional reprocessing task will be undertaken to apply
the MONORTM retrieval to all MWR data when the first is completed.
Read reprocessing comments in the netcdf file header carefully to
ensure you are aware which retrieval is in play. |
Measurements: | sgpmwrlosB5.a1: - MWR column precipitable water vapor(vap)
- Averaged total liquid water along LOS path(liq)
sgpmwrtipB5.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)
sgpqmemwrcolB5.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)
sgp5mwravgB5.c1: - MWR column precipitable water vapor(vap)
- Averaged total liquid water along LOS path(liq)
sgpmwrlosB5.b1: - Averaged total liquid water along LOS path(liq)
- MWR column precipitable water vapor(vap)
|
Subject: | SGP/MWR/B6 - Reprocess: Revised Retrieval Coefficients |
DataStreams: | sgp5mwravgB6.c1, sgpmwrlosB6.a1, sgpmwrlosB6.b1, sgpmwrtipB6.a1, sgpqmemwrcolB6.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 at SGP.B6
20020416.2200. The MONORTM-based retrieval coefficients became active
at SGP.B6 20050624.1942.
Note: a reprocessing effort is already underway to apply the
Rosenkranz-based retrieval coefficients to all MWR prior to April
2002. An additional reprocessing task will be undertaken to apply
the MONORTM retrieval to all MWR data when the first is completed.
Read reprocessing comments in the netcdf file header carefully to
ensure you are aware which retrieval is in play. |
Measurements: | sgpmwrtipB6.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)
sgp5mwravgB6.c1: - Averaged total liquid water along LOS path(liq)
- MWR column precipitable water vapor(vap)
sgpmwrlosB6.b1: - MWR column precipitable water vapor(vap)
- Averaged total liquid water along LOS path(liq)
sgpqmemwrcolB6.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)
sgpmwrlosB6.a1: - Averaged total liquid water along LOS path(liq)
- MWR column precipitable water vapor(vap)
|
Subject: | SGP/MWR/B1 - New software version (4.15) installed |
DataStreams: | sgpmwrlosB1.b1, sgpmwrtipB1.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 at 21:25. As a consequence
of this upgrade, the tip curve frequency increased. The tip cycle time decreased from
~60s to ~50s. |
Measurements: | sgpmwrtipB1.a1: - Blackbody kinetic temperature(tkbb)
- 23.8 GHz sky signal(tipsky23)
- 23.8 GHz blackbody+noise injection signal(bbn23)
- 23.8 GHz Blackbody signal(bb23)
- Noise injection temp at 23.8 GHz derived from this tip(tnd23I)
- Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
- Noise injection temp at 31.4 GHz derived from this tip(tnd31I)
- 31.4 GHz blackbody(bb31)
- Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)
- 31.8 GHz sky brightness temperature derived from tip curve(tbskytip31)
- Temperature correction coefficient at 31.4 GHz(tc31)
- Mixer kinetic (physical) temperature(tkxc)
- 23.8 GHz sky brightness temperature derived from tip curve(tbskytip23)
- (tknd)
- Ambient temperature(tkair)
- Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)
- Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
- Temperature correction coefficient at 23.8 GHz(tc23)
- Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
- 23.8 GHz goodness-of-fit coefficient(r23)
- Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
- 31.4 GHz sky signal(tipsky31)
- 31.4 GHz goodness-of-fit coefficient(r31)
- 31.4 GHz blac2body+noise injection signal(bbn31)
sgpmwrlosB1.b1: - Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
- Sky Infra-Red Temperature(sky_ir_temp)
- Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
- 31.4 GHz blac2body+noise injection signal(bbn31)
- Ambient temperature(tkair)
- IR Brightness Temperature(ir_temp)
- 23.8 GHz sky signal(sky23)
- Averaged total liquid water along LOS path(liq)
- Temperature correction coefficient at 23.8 GHz(tc23)
- 23.8 GHz blackbody+noise injection signal(bbn23)
- Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
- 31.4 GHz sky signal(sky31)
- (tknd)
- Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
- 31.4 GHz blackbody(bb31)
- Mixer kinetic (physical) temperature(tkxc)
- Sky brightness temperature at 23.8 GHz(tbsky23)
- Temperature correction coefficient at 31.4 GHz(tc31)
- Sky brightness temperature at 31.4 GHz(tbsky31)
- Blackbody kinetic temperature(tkbb)
- MWR column precipitable water vapor(vap)
- 23.8 GHz Blackbody signal(bb23)
|
Subject: | SGP/MWR/B4 - New software version (4.15) installed |
DataStreams: | sgpmwrlosB4.b1, sgpmwrtipB4.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: | sgpmwrlosB4.b1: - Averaged total liquid water along LOS path(liq)
- 23.8 GHz blackbody+noise injection signal(bbn23)
- Sky Infra-Red Temperature(sky_ir_temp)
- Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
- 31.4 GHz blackbody(bb31)
- Temperature correction coefficient at 23.8 GHz(tc23)
- Temperature correction coefficient at 31.4 GHz(tc31)
- Ambient temperature(tkair)
- 31.4 GHz blac2body+noise injection signal(bbn31)
- Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
- (tknd)
- Blackbody kinetic temperature(tkbb)
- 23.8 GHz sky signal(sky23)
- Sky brightness temperature at 23.8 GHz(tbsky23)
- MWR column precipitable water vapor(vap)
- IR Brightness Temperature(ir_temp)
- 31.4 GHz sky signal(sky31)
- Sky brightness temperature at 31.4 GHz(tbsky31)
- Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
- 23.8 GHz Blackbody signal(bb23)
- Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
- Mixer kinetic (physical) temperature(tkxc)
sgpmwrtipB4.a1: - 23.8 GHz sky brightness temperature derived from tip curve(tbskytip23)
- Mixer kinetic (physical) temperature(tkxc)
- 23.8 GHz Blackbody signal(bb23)
- (tknd)
- 23.8 GHz blackbody+noise injection signal(bbn23)
- Temperature correction coefficient at 31.4 GHz(tc31)
- 31.4 GHz blac2body+noise injection signal(bbn31)
- Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
- 31.4 GHz blackbody(bb31)
- Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
- Blackbody kinetic temperature(tkbb)
- 23.8 GHz sky signal(tipsky23)
- Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)
- Temperature correction coefficient at 23.8 GHz(tc23)
- Ambient temperature(tkair)
- 31.4 GHz goodness-of-fit coefficient(r31)
- 31.4 GHz sky signal(tipsky31)
- 23.8 GHz goodness-of-fit coefficient(r23)
- Noise injection temp at 23.8 GHz derived from this tip(tnd23I)
- Noise injection temp at 31.4 GHz derived from this tip(tnd31I)
- 31.8 GHz sky brightness temperature derived from tip curve(tbskytip31)
- Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
- Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
- Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)
|
Subject: | SGP/MWR/B5 - New software version (4.15) installed |
DataStreams: | sgpmwrlosB5.b1, sgpmwrtipB5.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: | sgpmwrtipB5.a1: - Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
- 31.4 GHz sky signal(tipsky31)
- Blackbody kinetic temperature(tkbb)
- (tknd)
- Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
- 31.8 GHz sky brightness temperature derived from tip curve(tbskytip31)
- 31.4 GHz goodness-of-fit coefficient(r31)
- 23.8 GHz blackbody+noise injection signal(bbn23)
- Noise injection temp at 31.4 GHz derived from this tip(tnd31I)
- Temperature correction coefficient at 23.8 GHz(tc23)
- 23.8 GHz Blackbody signal(bb23)
- Temperature correction coefficient at 31.4 GHz(tc31)
- 31.4 GHz blackbody(bb31)
- Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
- Mixer kinetic (physical) temperature(tkxc)
- Noise injection temp at 23.8 GHz derived from this tip(tnd23I)
- Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)
- Ambient temperature(tkair)
- 23.8 GHz sky brightness temperature derived from tip curve(tbskytip23)
- 23.8 GHz sky signal(tipsky23)
- Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)
- 23.8 GHz goodness-of-fit coefficient(r23)
- 31.4 GHz blac2body+noise injection signal(bbn31)
- Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
sgpmwrlosB5.b1: - Mixer kinetic (physical) temperature(tkxc)
- Ambient temperature(tkair)
- Temperature correction coefficient at 31.4 GHz(tc31)
- 23.8 GHz sky signal(sky23)
- Blackbody kinetic temperature(tkbb)
- Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
- 31.4 GHz blackbody(bb31)
- MWR column precipitable water vapor(vap)
- (tknd)
- IR Brightness Temperature(ir_temp)
- Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
- 31.4 GHz blac2body+noise injection signal(bbn31)
- Sky brightness temperature at 31.4 GHz(tbsky31)
- Averaged total liquid water along LOS path(liq)
- 23.8 GHz blackbody+noise injection signal(bbn23)
- 31.4 GHz sky signal(sky31)
- Sky brightness temperature at 23.8 GHz(tbsky23)
- Sky Infra-Red Temperature(sky_ir_temp)
- Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
- 23.8 GHz Blackbody signal(bb23)
- Temperature correction coefficient at 23.8 GHz(tc23)
- Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
|
Subject: | SGP/MWR/B6 - New software version (4.15) installed |
DataStreams: | sgpmwrlosB6.b1, sgpmwrtipB6.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 9/23/2005. As a consequence of this
upgrade, the tip curve frequency increased. The tip cycle time decreased from ~60s to ~50s. |
Measurements: | sgpmwrtipB6.a1: - Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
- Ambient temperature(tkair)
- Total liquid water along zenith path using tip-derived brightness temperatures(liqtip)
- 23.8 GHz blackbody+noise injection signal(bbn23)
- Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
- Total water vapor along zenith path using tip-derived brightness temperatures(vaptip)
- 23.8 GHz sky brightness temperature derived from tip curve(tbskytip23)
- 31.4 GHz goodness-of-fit coefficient(r31)
- 31.4 GHz sky signal(tipsky31)
- 23.8 GHz goodness-of-fit coefficient(r23)
- Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
- Temperature correction coefficient at 23.8 GHz(tc23)
- 31.4 GHz blac2body+noise injection signal(bbn31)
- (tknd)
- 31.8 GHz sky brightness temperature derived from tip curve(tbskytip31)
- Noise injection temp at 31.4 GHz derived from this tip(tnd31I)
- 23.8 GHz sky signal(tipsky23)
- Noise injection temp at 23.8 GHz derived from this tip(tnd23I)
- 23.8 GHz Blackbody signal(bb23)
- Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
- 31.4 GHz blackbody(bb31)
- Blackbody kinetic temperature(tkbb)
- Mixer kinetic (physical) temperature(tkxc)
- Temperature correction coefficient at 31.4 GHz(tc31)
sgpmwrlosB6.b1: - IR Brightness Temperature(ir_temp)
- Noise injection temp at 23.8 GHz adjusted to tkbb(tnd23)
- Temperature correction coefficient at 31.4 GHz(tc31)
- 23.8 GHz sky signal(sky23)
- 31.4 GHz blac2body+noise injection signal(bbn31)
- Averaged total liquid water along LOS path(liq)
- Noise injection temp at nominal temperature at 23.8 GHz(tnd_nom23)
- Sky brightness temperature at 31.4 GHz(tbsky31)
- 23.8 GHz Blackbody signal(bb23)
- Noise injection temp at nominal temperature at 31.4 GHz(tnd_nom31)
- MWR column precipitable water vapor(vap)
- Mixer kinetic (physical) temperature(tkxc)
- Sky brightness temperature at 23.8 GHz(tbsky23)
- Sky Infra-Red Temperature(sky_ir_temp)
- 31.4 GHz blackbody(bb31)
- Ambient temperature(tkair)
- Blackbody kinetic temperature(tkbb)
- 23.8 GHz blackbody+noise injection signal(bbn23)
- Temperature correction coefficient at 23.8 GHz(tc23)
- (tknd)
- 31.4 GHz sky signal(sky31)
- Noise injection temp at 31.4 GHz adjusted to tkbb(tnd31)
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