Data Quality Reports for Session: 104925 User: kcwang Completed: 03/23/2007


TABLE OF CONTENTS

DQR IDSubjectData Streams Affected
D040127.5SGP/ECOR/E10 - Timestamp problems and intermittent data gapssgpecorE10.00, sgp30ecorE10.b1
D040707.1SGP/ECOR/E6 - Sonic Sensor failuresgpecorE6.00, sgp30ecorE6.b1
D040720.1SGP/ECOR/E10 - Sensor failuresgpecorE10.00, sgp30ecorE10.b1
D041012.3sgpecorE14.00, sgp30ecorE14.b1
D041025.3SGP/ECOR/E10 - Sensor failuresgpecorE10.00, sgp30ecorE10.b1
D041202.1SGP/ECOR/E6 - Reprocess: Incorrect wind directionsgp30ecorE6.b1
D050222.1SGP/ECOR/E6 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 datasgp30ecorE6.b1
D050413.5SGP/ECOR/E10 - Reprocess: Incorrect H2O, CO2sgpecorE10.00, sgp30ecorE10.b1
D050421.1SGP/ECOR/E10 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 datasgp30ecorE10.b1
D050524.1SGP/ECOR/E6 - Missing datasgpecorE6.00, sgp30ecorE6.b1
D050524.3SGP/ECOR/E6 - Sonic Sensor failuresgp30ecorE6.b1
D050912.5SGP/ECOR/E6 - Reprocess: Time Was 7 Hours Slowsgp30ecorE6.b1
D051024.3SGP/ECOR/E10 - Missing datasgp30ecorE10.b1
D051031.3SGP/ECOR/E14 - CO2/H2O Incorrectsgp30ecorE14.b1
D051101.10SGP/ECOR/E6 - CO2 and H2O Fluxes and Means Incorrectsgp30ecorE6.b1
D051216.2SGP/ECOR/E14 - CO2/H2O Fluxes Incorrect All Times, All Measurements Incorrect Sometimessgp30ecorE14.b1
D060213.1SGP/ECOR/E14 - ECOR Flux Data Incorrectsgp30ecorE14.b1
D060531.3SGP/ECOR/E10 - Reprocess: Wind Direction Incorrectsgp30ecorE10.b1
D060612.2SGP/ECOR/E14 - Corrupt raw ECOR datasgp30ecorE14.b1
D060619.2SGP/ECOR/E10 - LI-7500 Pressure and Temperature missingsgp30ecorE10.b1
D060818.4SGP/ECOR/E14 - Flux Measurements Incorrectsgp30ecorE14.b1
D061106.2sgp30ecorE10.b1
D070223.1SGP/ECOR/E14 - Fluxes and Most Measurements Incorrectsgp30ecorE14.b1


DQRID : D040127.5
Start DateStart TimeEnd DateEnd Time
12/03/2003220012/05/20032030
Subject:
SGP/ECOR/E10 - Timestamp problems and intermittent data gaps
DataStreams:sgpecorE10.00, sgp30ecorE10.b1
Description:
The raw files produced by the instrument contained bad (uncorrectable) data.  Specifically 
the date of the data in the file is given a time that is ahead of the actual time the 
data was genertaed.  This was caught because the date in the file was ahead of the system 
time of the server processing the raw file.  The mentor indicated all such files were 
compeltely bad and unrecoverable so all files that failed to be ingested were not shipped to 
the archive, thus producing holes in the raw and processed datastreams.  Because the 
problem was discovered by comparing to system time at time of processing all files between 
these dates should be consider suspect.  Therefore the files that are on the system over 
these three days should be used cautiously
Measurements:sgpecorE10.00:
  • Raw data stream - documentation not supported(raw)

sgp30ecorE10.b1:
  • kurtosis of variable v(kurt_v)
  • covariance vq(cvar_vq)
  • specific heat of moist air(cp)
  • vector averaged wind speed(wind_spd)
  • variance of variable v(var_v)
  • Time offset from base_time(base_time)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance ut(cvar_rot_ut)
  • variance of variable w(var_w)
  • kurtosis of variable q(kurt_q)
  • friction velocity(ustar)
  • number of valid t samples(n_good_t)
  • corrected sensible heat flux(h)
  • number of u samples removed due to spikes(n_spk_u)
  • mean value of \spike\ w samples(mean_spk_w)
  • mean water vapor concentration (q)(mean_q)
  • rotated covariance wt(cvar_rot_wt)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable w(kurt_w)
  • vw covariance(cvar_vw)
  • skewness of variable v(skew_v)
  • 0=real or 1=dummy value of lv(real_lv)
  • Down-boom wind velocity (u)(mean_u)
  • latent heat flux(lv_e)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • covariance wq(cvar_wq)
  • number of t samples removed due to spikes(n_spk_t)
  • rotated covariance vq(cvar_rot_vq)
  • rotated covariance wc(cvar_rot_wc)
  • altitude above sea levelaltunits(alt)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • vertical (elevation) wind angle(elev)
  • number of q samples removed due to spikes(n_spk_q)
  • covariance uc(cvar_uc)
  • number of valid c samples(n_good_c)
  • Cross-boom wind velocity (v)(mean_v)
  • kurtosis of variable t(kurt_t)
  • number of valid w samples(n_good_w)
  • rotated covariance uw(cvar_rot_uw)
  • 0=real or 1=dummy value of mr(real_mr)
  • number of valid u samples(n_good_u)
  • rotated covariance vt(cvar_rot_vt)
  • rotated covariance uc(cvar_rot_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of valid v samples(n_good_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • variance of variable u(var_u)
  • wT covariance(cvar_wt)
  • covariance vt(cvar_vt)
  • 0=real or 1=dummy value of cp(real_cp)
  • number of bad or out of range v samples(n_bad_v)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • covariance wc(cvar_wc)
  • CO2 flux(fc)
  • variance of variable t(var_t)
  • number of bad or out of range u samples(n_bad_u)
  • Time offset of tweaks from base_time(time_offset)
  • skewness of variable t(skew_t)
  • rotated mean v(mean_rot_v)
  • number of v samples removed due to spikes(n_spk_v)
  • vector averaged wind direction(wind_dir)
  • Vertical angle of wind(phi)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • mean value of \spike\ v samples(mean_spk_v)
  • east longitude for all the input platforms.(lon)
  • number of bad or out of range c samples(n_bad_c)
  • number of w samples removed due to spikes(n_spk_w)
  • number of valid q samples(n_good_q)
  • number of c samples removed due to spikes(n_spk_c)
  • 0=real or 1=dummy value of rho(real_rho)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • mean w (vertical) wind component(mean_w)
  • rotated variance w(var_rot_w)
  • covariance vc(cvar_vc)
  • covariance uq(cvar_uq)
  • rotated covariance uq(cvar_rot_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • covariance of tq(cvar_tq)
  • number of bad or out of range q samples(n_bad_q)
  • skewness of variable q(skew_q)
  • kurtosis of variable u(kurt_u)
  • covariance of qc(cvar_qc)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated variance v(var_rot_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • mean co2 concentration (c)(mean_c)
  • covariance uv(cvar_uv)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • number of bad or out of range t samples(n_bad_t)
  • mean horizontal wind speed(mean_rot_u)
  • variance of variable c(var_c)
  • rotated covariance vc(cvar_rot_vc)
  • skewness of variable u(skew_u)
  • uw covariance(cvar_uw)
  • covariance ut(cvar_ut)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • north latitude for all the input platforms.(lat)
  • skewness of variable w(skew_w)
  • rotated covariance wq(cvar_rot_wq)
  • momentum flux (dynamic)(k)
  • standard deviation of wind direction(std_wind_dir)
  • average voltage of IRGA cooler(mean_cooler)
  • mixing ratio(mr)
  • rotated variance u(var_rot_u)
  • variance of variable q(var_q)
  • number of bad or out of range w samples(n_bad_w)
  • kurtosis of variable c(kurt_c)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)


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DQRID : D040707.1
Start DateStart TimeEnd DateEnd Time
07/05/2004223008/23/20041200
Subject:
SGP/ECOR/E6 - Sonic Sensor failure
DataStreams:sgpecorE6.00, sgp30ecorE6.b1
Description:
Due to sonic sensor failure, humidity, CO2 concentration, latent heat flux, and CO2 flux 
data are incorrect.
Measurements:sgpecorE6.00:
  • Raw data stream - documentation not supported(raw)

sgp30ecorE6.b1:
  • skewness of variable q(skew_q)
  • momentum flux (dynamic)(k)
  • covariance uq(cvar_uq)
  • average temperature (IGRA internal sensor)(temp_irga)
  • skewness of variable c(skew_c)
  • covariance of tc(cvar_tc)
  • rotated covariance wc(cvar_rot_wc)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • covariance uc(cvar_uc)
  • covariance wc(cvar_wc)
  • rotated covariance uc(cvar_rot_uc)
  • number of valid c samples(n_good_c)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable q(kurt_q)
  • variance of variable q(var_q)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • number of q samples removed due to spikes(n_spk_q)
  • rotated covariance uq(cvar_rot_uq)
  • specific heat of moist air(cp)
  • covariance of qc(cvar_qc)
  • corrected sensible heat flux(h)
  • 0=real or 1=dummy value of rho(real_rho)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • covariance wq(cvar_wq)
  • latent heat of vaporization(lv)
  • average voltage of IRGA cooler(mean_cooler)
  • Time offset of tweaks from base_time(time_offset)
  • covariance vc(cvar_vc)
  • Retrieved water vapor density profile(rho)
  • covariance of tq(cvar_tq)
  • number of valid q samples(n_good_q)
  • number of c samples removed due to spikes(n_spk_c)
  • rotated covariance vq(cvar_rot_vq)
  • 0=real or 1=dummy value of lv(real_lv)
  • mixing ratio(mr)
  • variance of variable c(var_c)
  • rotated covariance vc(cvar_rot_vc)
  • kurtosis of variable c(kurt_c)
  • number of bad or out of range q samples(n_bad_q)
  • latent heat flux(lv_e)
  • 0=real or 1=dummy value of mr(real_mr)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • wT covariance(cvar_wt)
  • mean water vapor concentration (q)(mean_q)
  • 0=real or 1=dummy value of cp(real_cp)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • covariance vq(cvar_vq)
  • rotated covariance wq(cvar_rot_wq)
  • CO2 flux(fc)
  • mean co2 concentration (c)(mean_c)
  • number of bad or out of range c samples(n_bad_c)


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DQRID : D040720.1
Start DateStart TimeEnd DateEnd Time
07/14/2004010008/13/20041800
Subject:
SGP/ECOR/E10 - Sensor failure
DataStreams:sgpecorE10.00, sgp30ecorE10.b1
Description:
Due to LI-7500 (H2O/CO2 infrared gas analyzer) sensor failure all humidity and CO2 data 
are incorrect for the period of Jul. 14, 2004 01:00 to Aug. 13, 2004 18:00.
Measurements:sgpecorE10.00:
  • Raw data stream - documentation not supported(raw)

sgp30ecorE10.b1:
  • rotated covariance vq(cvar_rot_vq)
  • rotated covariance wc(cvar_rot_wc)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • covariance wc(cvar_wc)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
  • covariance vq(cvar_vq)
  • specific heat of moist air(cp)
  • covariance uc(cvar_uc)
  • variance of variable c(var_c)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of \spike\ v samples(mean_spk_v)
  • kurtosis of variable q(kurt_q)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • mean value of \spike\ w samples(mean_spk_w)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • rotated covariance uc(cvar_rot_uc)
  • mean water vapor concentration (q)(mean_q)
  • covariance vc(cvar_vc)
  • rotated covariance wq(cvar_rot_wq)
  • covariance of tc(cvar_tc)
  • covariance uq(cvar_uq)
  • average voltage of IRGA cooler(mean_cooler)
  • rotated covariance uq(cvar_rot_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • mixing ratio(mr)
  • variance of variable q(var_q)
  • latent heat flux(lv_e)
  • covariance of tq(cvar_tq)
  • Retrieved water vapor density profile(rho)
  • skewness of variable q(skew_q)
  • covariance of qc(cvar_qc)
  • average temperature (IGRA internal sensor)(temp_irga)
  • covariance wq(cvar_wq)
  • kurtosis of variable c(kurt_c)
  • mean value of \spike\ u samples(mean_spk_u)
  • mean co2 concentration (c)(mean_c)


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DQRID : D041012.3
Start DateStart TimeEnd DateEnd Time
10/12/2004150010/13/20042100
Subject:
DataStreams:sgpecorE14.00, sgp30ecorE14.b1
Description:
Measurements:

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DQRID : D041025.3
Start DateStart TimeEnd DateEnd Time
10/22/2004183012/14/20042200
Subject:
SGP/ECOR/E10 - Sensor failure
DataStreams:sgpecorE10.00, sgp30ecorE10.b1
Description:
Due to sensor failure all the parameters measured by the Infrared Gas Analyzer (water 
vapor density, CO2 concentration, fluxes of latent heat and CO2, etc.) are incorrect for the 
period of 18:30 Oct. 22, 2004 to 22:00 Dec. 14, 2004. The data is irrevocably lost.
Measurements:sgpecorE10.00:
  • Raw data stream - documentation not supported(raw)

sgp30ecorE10.b1:
  • rotated covariance vq(cvar_rot_vq)
  • rotated covariance wc(cvar_rot_wc)
  • skewness of variable c(skew_c)
  • covariance wc(cvar_wc)
  • covariance vq(cvar_vq)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • CO2 flux(fc)
  • number of q samples removed due to spikes(n_spk_q)
  • specific heat of moist air(cp)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • covariance uc(cvar_uc)
  • number of valid c samples(n_good_c)
  • variance of variable c(var_c)
  • rotated covariance vc(cvar_rot_vc)
  • kurtosis of variable q(kurt_q)
  • number of bad or out of range c samples(n_bad_c)
  • 0=real or 1=dummy value of mr(real_mr)
  • number of valid q samples(n_good_q)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • 0=real or 1=dummy value of rho(real_rho)
  • number of c samples removed due to spikes(n_spk_c)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • rotated covariance uc(cvar_rot_uc)
  • mean water vapor concentration (q)(mean_q)
  • covariance vc(cvar_vc)
  • rotated covariance wq(cvar_rot_wq)
  • covariance of tc(cvar_tc)
  • covariance uq(cvar_uq)
  • 0=real or 1=dummy value of lv(real_lv)
  • average voltage of IRGA cooler(mean_cooler)
  • rotated covariance uq(cvar_rot_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • mixing ratio(mr)
  • variance of variable q(var_q)
  • latent heat flux(lv_e)
  • covariance of tq(cvar_tq)
  • number of bad or out of range q samples(n_bad_q)
  • Retrieved water vapor density profile(rho)
  • skewness of variable q(skew_q)
  • average temperature (IGRA internal sensor)(temp_irga)
  • covariance of qc(cvar_qc)
  • covariance wq(cvar_wq)
  • 0=real or 1=dummy value of cp(real_cp)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • kurtosis of variable c(kurt_c)
  • mean co2 concentration (c)(mean_c)


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DQRID : D041202.1
Start DateStart TimeEnd DateEnd Time
08/26/2004153012/16/20041630
Subject:
SGP/ECOR/E6 - Reprocess: Incorrect wind direction
DataStreams:sgp30ecorE6.b1
Description:
The sonic anemometer was mounted 90 degrees off during August 26 Corrective Maintenance 
visit; the wind direction was reported 90 degrees off for the period of August 26, 2004, 
15:30 to December 16, 2004, 16:30.
Measurements:sgp30ecorE6.b1:
  • vector averaged wind direction(wind_dir)


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DQRID : D050222.1
Start DateStart TimeEnd DateEnd Time
06/14/2004000006/14/20040030
Subject:
SGP/ECOR/E6  - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data
DataStreams:sgp30ecorE6.b1
Description:
Due to system clock instability on ECOR computers their system time is adjusted 
approximately once per hour; sometimes this adjustment leads to backward time jumps over midnight, 
into the previous day. In this case all the data based on CO2/H2O measurements might be 
erroneously marked as bad. Below is a list of times when that might have happen.

SITE    YEAR    MONTH   DAY     HOUR    MINUTE
06      2004    06      14      00      00
Measurements:sgp30ecorE6.b1:
  • covariance wq(cvar_wq)
  • skewness of variable q(skew_q)
  • latent heat of vaporization(lv)
  • covariance vc(cvar_vc)
  • Retrieved water vapor density profile(rho)
  • covariance uq(cvar_uq)
  • skewness of variable c(skew_c)
  • rotated covariance wc(cvar_rot_wc)
  • covariance of tc(cvar_tc)
  • covariance of tq(cvar_tq)
  • covariance uc(cvar_uc)
  • number of valid q samples(n_good_q)
  • number of c samples removed due to spikes(n_spk_c)
  • rotated covariance vq(cvar_rot_vq)
  • 0=real or 1=dummy value of lv(real_lv)
  • rotated covariance uc(cvar_rot_uc)
  • mixing ratio(mr)
  • covariance wc(cvar_wc)
  • variance of variable c(var_c)
  • number of valid c samples(n_good_c)
  • rotated covariance vc(cvar_rot_vc)
  • kurtosis of variable c(kurt_c)
  • number of bad or out of range q samples(n_bad_q)
  • 0=real or 1=dummy value of mr(real_mr)
  • latent heat flux(lv_e)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • kurtosis of variable q(kurt_q)
  • variance of variable q(var_q)
  • mean water vapor concentration (q)(mean_q)
  • 0=real or 1=dummy value of cp(real_cp)
  • number of q samples removed due to spikes(n_spk_q)
  • rotated covariance uq(cvar_rot_uq)
  • rotated covariance wq(cvar_rot_wq)
  • covariance vq(cvar_vq)
  • CO2 flux(fc)
  • covariance of qc(cvar_qc)
  • mean co2 concentration (c)(mean_c)
  • number of bad or out of range c samples(n_bad_c)
  • 0=real or 1=dummy value of rho(real_rho)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)


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DQRID : D050413.5
Start DateStart TimeEnd DateEnd Time
12/14/2004223001/11/20052200
Subject:
SGP/ECOR/E10 - Reprocess: Incorrect H2O, CO2
DataStreams:sgpecorE10.00, sgp30ecorE10.b1
Description:
Due to failure of analog output circuitry in the Infrared Gas Analyzer (IRGA), CO2 and 
water vapor parameters measured by the IRGA (water vapor density, CO2 concentration, fluxes 
of latent heat and CO2) were incorrectly recorded in sonic raw data files for the period 
of 22:30 Dec. 14, 2004 to 22:00 Jan. 11, 2005. The data could be recovered from IRGA raw 
serial files (00 level).
Measurements:sgpecorE10.00:
  • Raw data stream - documentation not supported(raw)

sgp30ecorE10.b1:
  • rotated covariance vq(cvar_rot_vq)
  • rotated covariance wc(cvar_rot_wc)
  • latent heat of vaporization(lv)
  • skewness of variable c(skew_c)
  • covariance wc(cvar_wc)
  • covariance vq(cvar_vq)
  • CO2 flux(fc)
  • number of q samples removed due to spikes(n_spk_q)
  • specific heat of moist air(cp)
  • covariance uc(cvar_uc)
  • number of valid c samples(n_good_c)
  • variance of variable c(var_c)
  • rotated covariance vc(cvar_rot_vc)
  • kurtosis of variable q(kurt_q)
  • number of bad or out of range c samples(n_bad_c)
  • 0=real or 1=dummy value of mr(real_mr)
  • number of valid q samples(n_good_q)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • 0=real or 1=dummy value of rho(real_rho)
  • number of c samples removed due to spikes(n_spk_c)
  • rotated covariance uc(cvar_rot_uc)
  • mean water vapor concentration (q)(mean_q)
  • covariance vc(cvar_vc)
  • rotated covariance wq(cvar_rot_wq)
  • covariance of tc(cvar_tc)
  • covariance uq(cvar_uq)
  • 0=real or 1=dummy value of lv(real_lv)
  • rotated covariance uq(cvar_rot_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • mixing ratio(mr)
  • variance of variable q(var_q)
  • latent heat flux(lv_e)
  • covariance of tq(cvar_tq)
  • number of bad or out of range q samples(n_bad_q)
  • Retrieved water vapor density profile(rho)
  • skewness of variable q(skew_q)
  • covariance of qc(cvar_qc)
  • covariance wq(cvar_wq)
  • 0=real or 1=dummy value of cp(real_cp)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • kurtosis of variable c(kurt_c)
  • mean co2 concentration (c)(mean_c)


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DQRID : D050421.1
Start DateStart TimeEnd DateEnd Time
12/10/2003000002/04/20050030
Subject:
SGP/ECOR/E10 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data
DataStreams:sgp30ecorE10.b1
Description:
Due to system clock instability on ECOR computers their system time is adjusted 
approximately once per hour; sometimes this adjustment leads to backward time jumps over midnight, 
into the previous day. In this case all the data based on CO2/H2O measurements might be 
erroneously marked as bad.
Measurements:sgp30ecorE10.b1:
  • rotated covariance vq(cvar_rot_vq)
  • rotated covariance wc(cvar_rot_wc)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • covariance wc(cvar_wc)
  • covariance vq(cvar_vq)
  • CO2 flux(fc)
  • specific heat of moist air(cp)
  • number of q samples removed due to spikes(n_spk_q)
  • covariance uc(cvar_uc)
  • number of valid c samples(n_good_c)
  • variance of variable c(var_c)
  • rotated covariance vc(cvar_rot_vc)
  • number of bad or out of range c samples(n_bad_c)
  • 0=real or 1=dummy value of mr(real_mr)
  • number of valid q samples(n_good_q)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • 0=real or 1=dummy value of rho(real_rho)
  • number of c samples removed due to spikes(n_spk_c)
  • rotated covariance uc(cvar_rot_uc)
  • mean water vapor concentration (q)(mean_q)
  • covariance vc(cvar_vc)
  • rotated covariance wq(cvar_rot_wq)
  • covariance of tc(cvar_tc)
  • covariance uq(cvar_uq)
  • 0=real or 1=dummy value of lv(real_lv)
  • rotated covariance uq(cvar_rot_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • mixing ratio(mr)
  • variance of variable q(var_q)
  • latent heat flux(lv_e)
  • covariance of tq(cvar_tq)
  • number of bad or out of range q samples(n_bad_q)
  • skewness of variable q(skew_q)
  • covariance of qc(cvar_qc)
  • covariance wq(cvar_wq)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)


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DQRID : D050524.1
Start DateStart TimeEnd DateEnd Time
07/05/2004080007/05/20042200
08/23/2004123008/26/20041530
01/05/2005033001/13/20051600
Subject:
SGP/ECOR/E6 - Missing data
DataStreams:sgpecorE6.00, sgp30ecorE6.b1
Description:
Data are missing and unrecoverable.
Measurements:sgp30ecorE6.b1:
  • covariance vt(cvar_vt)
  • momentum flux (dynamic)(k)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance wc(cvar_rot_wc)
  • rotated covariance ut(cvar_rot_ut)
  • Down-boom wind velocity (u)(mean_u)
  • number of bad or out of range w samples(n_bad_w)
  • number of valid c samples(n_good_c)
  • mean value of \spike\ u samples(mean_spk_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • skewness of variable u(skew_u)
  • skewness of variable t(skew_t)
  • rotated covariance uq(cvar_rot_uq)
  • number of valid t samples(n_good_t)
  • standard deviation of wind direction(std_wind_dir)
  • covariance of qc(cvar_qc)
  • kurtosis of variable u(kurt_u)
  • number of bad or out of range u samples(n_bad_u)
  • number of valid v samples(n_good_v)
  • average voltage of IRGA cooler(mean_cooler)
  • mean w (vertical) wind component(mean_w)
  • Time offset of tweaks from base_time(time_offset)
  • covariance vc(cvar_vc)
  • Retrieved water vapor density profile(rho)
  • kurtosis of variable t(kurt_t)
  • rotated covariance vw(cvar_rot_vw)
  • rotated covariance uv(cvar_rot_uv)
  • east longitude for all the input platforms.(lon)
  • rotated mean v(mean_rot_v)
  • kurtosis of variable w(kurt_w)
  • number of valid q samples(n_good_q)
  • number of c samples removed due to spikes(n_spk_c)
  • rotated covariance vq(cvar_rot_vq)
  • 0=real or 1=dummy value of lv(real_lv)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • number of bad or out of range t samples(n_bad_t)
  • mixing ratio(mr)
  • rotated covariance vt(cvar_rot_vt)
  • number of bad or out of range q samples(n_bad_q)
  • covariance ut(cvar_ut)
  • Cross-boom wind velocity (v)(mean_v)
  • variance of variable w(var_w)
  • mean water vapor concentration (q)(mean_q)
  • 0=real or 1=dummy value of cp(real_cp)
  • number of w samples removed due to spikes(n_spk_w)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • rotated covariance wq(cvar_rot_wq)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
  • skewness of variable q(skew_q)
  • covariance uq(cvar_uq)
  • skewness of variable c(skew_c)
  • Vertical angle of wind(phi)
  • north latitude for all the input platforms.(lat)
  • covariance of tc(cvar_tc)
  • variance of variable v(var_v)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • covariance uc(cvar_uc)
  • altitude above sea levelaltunits(alt)
  • rotated variance v(var_rot_v)
  • rotated covariance uw(cvar_rot_uw)
  • rotated variance u(var_rot_u)
  • vw covariance(cvar_vw)
  • number of u samples removed due to spikes(n_spk_u)
  • covariance wc(cvar_wc)
  • rotated covariance uc(cvar_rot_uc)
  • covariance uv(cvar_uv)
  • vector averaged wind speed(wind_spd)
  • kurtosis of variable q(kurt_q)
  • rotated variance w(var_rot_w)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • variance of variable q(var_q)
  • vertical (elevation) wind angle(elev)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • number of q samples removed due to spikes(n_spk_q)
  • specific heat of moist air(cp)
  • mean horizontal wind speed(mean_rot_u)
  • variance of variable t(var_t)
  • vector averaged wind direction(wind_dir)
  • kurtosis of variable v(kurt_v)
  • uw covariance(cvar_uw)
  • corrected sensible heat flux(h)
  • number of valid w samples(n_good_w)
  • 0=real or 1=dummy value of rho(real_rho)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • skewness of variable v(skew_v)
  • covariance wq(cvar_wq)
  • latent heat of vaporization(lv)
  • rotated mean w(mean_rot_w)
  • number of bad or out of range v samples(n_bad_v)
  • number of valid u samples(n_good_u)
  • rotated covariance wt(cvar_rot_wt)
  • covariance of tq(cvar_tq)
  • number of v samples removed due to spikes(n_spk_v)
  • skewness of variable w(skew_w)
  • Time offset from base_time(base_time)
  • variance of variable c(var_c)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance vc(cvar_rot_vc)
  • friction velocity(ustar)
  • kurtosis of variable c(kurt_c)
  • number of t samples removed due to spikes(n_spk_t)
  • latent heat flux(lv_e)
  • 0=real or 1=dummy value of mr(real_mr)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • mean value of \spike\ v samples(mean_spk_v)
  • wT covariance(cvar_wt)
  • mean value of \spike\ w samples(mean_spk_w)
  • variance of variable u(var_u)
  • covariance vq(cvar_vq)
  • CO2 flux(fc)
  • mean co2 concentration (c)(mean_c)
  • number of bad or out of range c samples(n_bad_c)


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DQRID : D050524.3
Start DateStart TimeEnd DateEnd Time
07/05/2004223008/23/20041200
Subject:
SGP/ECOR/E6 - Sonic Sensor failure
DataStreams:sgp30ecorE6.b1
Description:
Due to sonic sensor failure, wind, temperature and sensible heat flux data are suspect.
Measurements:sgp30ecorE6.b1:
  • covariance vt(cvar_vt)
  • Vertical angle of wind(phi)
  • variance of variable v(var_v)
  • rotated covariance ut(cvar_rot_ut)
  • rotated variance v(var_rot_v)
  • rotated covariance uw(cvar_rot_uw)
  • Down-boom wind velocity (u)(mean_u)
  • number of bad or out of range w samples(n_bad_w)
  • rotated variance u(var_rot_u)
  • vw covariance(cvar_vw)
  • number of u samples removed due to spikes(n_spk_u)
  • covariance uv(cvar_uv)
  • vector averaged wind speed(wind_spd)
  • mean value of \spike\ u samples(mean_spk_u)
  • rotated variance w(var_rot_w)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • skewness of variable u(skew_u)
  • skewness of variable t(skew_t)
  • vertical (elevation) wind angle(elev)
  • number of valid t samples(n_good_t)
  • standard deviation of wind direction(std_wind_dir)
  • mean horizontal wind speed(mean_rot_u)
  • variance of variable t(var_t)
  • vector averaged wind direction(wind_dir)
  • kurtosis of variable v(kurt_v)
  • uw covariance(cvar_uw)
  • number of valid w samples(n_good_w)
  • skewness of variable v(skew_v)
  • kurtosis of variable u(kurt_u)
  • number of bad or out of range u samples(n_bad_u)
  • number of valid v samples(n_good_v)
  • rotated mean w(mean_rot_w)
  • mean w (vertical) wind component(mean_w)
  • number of bad or out of range v samples(n_bad_v)
  • kurtosis of variable t(kurt_t)
  • rotated covariance vw(cvar_rot_vw)
  • rotated covariance uv(cvar_rot_uv)
  • number of valid u samples(n_good_u)
  • rotated mean v(mean_rot_v)
  • kurtosis of variable w(kurt_w)
  • number of v samples removed due to spikes(n_spk_v)
  • skewness of variable w(skew_w)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • number of bad or out of range t samples(n_bad_t)
  • standard deviation of wind elevation angle(std_elev)
  • friction velocity(ustar)
  • rotated covariance vt(cvar_rot_vt)
  • number of t samples removed due to spikes(n_spk_t)
  • mean value of \spike\ v samples(mean_spk_v)
  • covariance ut(cvar_ut)
  • Cross-boom wind velocity (v)(mean_v)
  • variance of variable w(var_w)
  • wT covariance(cvar_wt)
  • number of w samples removed due to spikes(n_spk_w)
  • mean value of \spike\ w samples(mean_spk_w)
  • variance of variable u(var_u)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)


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DQRID : D050912.5
Start DateStart TimeEnd DateEnd Time
08/11/2005090009/22/20051540
Subject:
SGP/ECOR/E6 - Reprocess: Time Was 7 Hours Slow
DataStreams:sgp30ecorE6.b1
Description:
When the site computer was changed on 8/11, the time was set 7 hours behind the correct 
time.

This will be corrected by future reprocessing of the data.
Measurements:sgp30ecorE6.b1:
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)


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DQRID : D051024.3
Start DateStart TimeEnd DateEnd Time
12/03/2003220012/05/20032030
05/13/2005110005/16/20051600
08/09/2005163010/18/20052130
07/31/2006080001/09/20072030
Subject:
SGP/ECOR/E10 - Missing data
DataStreams:sgp30ecorE10.b1
Description:
Data are missing and unrecoverable.
Measurements:sgp30ecorE10.b1:
  • kurtosis of variable v(kurt_v)
  • covariance vq(cvar_vq)
  • specific heat of moist air(cp)
  • vector averaged wind speed(wind_spd)
  • variance of variable v(var_v)
  • Time offset from base_time(base_time)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance ut(cvar_rot_ut)
  • variance of variable w(var_w)
  • kurtosis of variable q(kurt_q)
  • friction velocity(ustar)
  • number of valid t samples(n_good_t)
  • corrected sensible heat flux(h)
  • number of u samples removed due to spikes(n_spk_u)
  • mean value of \spike\ w samples(mean_spk_w)
  • mean water vapor concentration (q)(mean_q)
  • rotated covariance wt(cvar_rot_wt)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable w(kurt_w)
  • vw covariance(cvar_vw)
  • skewness of variable v(skew_v)
  • 0=real or 1=dummy value of lv(real_lv)
  • Down-boom wind velocity (u)(mean_u)
  • latent heat flux(lv_e)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • covariance wq(cvar_wq)
  • number of t samples removed due to spikes(n_spk_t)
  • rotated covariance vq(cvar_rot_vq)
  • rotated covariance wc(cvar_rot_wc)
  • altitude above sea levelaltunits(alt)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • vertical (elevation) wind angle(elev)
  • number of q samples removed due to spikes(n_spk_q)
  • covariance uc(cvar_uc)
  • number of valid c samples(n_good_c)
  • Cross-boom wind velocity (v)(mean_v)
  • kurtosis of variable t(kurt_t)
  • number of valid w samples(n_good_w)
  • rotated covariance uw(cvar_rot_uw)
  • 0=real or 1=dummy value of mr(real_mr)
  • number of valid u samples(n_good_u)
  • rotated covariance vt(cvar_rot_vt)
  • rotated covariance uc(cvar_rot_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of valid v samples(n_good_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • variance of variable u(var_u)
  • wT covariance(cvar_wt)
  • covariance vt(cvar_vt)
  • 0=real or 1=dummy value of cp(real_cp)
  • number of bad or out of range v samples(n_bad_v)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • covariance wc(cvar_wc)
  • CO2 flux(fc)
  • variance of variable t(var_t)
  • number of bad or out of range u samples(n_bad_u)
  • Time offset of tweaks from base_time(time_offset)
  • skewness of variable t(skew_t)
  • rotated mean v(mean_rot_v)
  • number of v samples removed due to spikes(n_spk_v)
  • vector averaged wind direction(wind_dir)
  • Vertical angle of wind(phi)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • mean value of \spike\ v samples(mean_spk_v)
  • east longitude for all the input platforms.(lon)
  • number of bad or out of range c samples(n_bad_c)
  • number of w samples removed due to spikes(n_spk_w)
  • number of valid q samples(n_good_q)
  • number of c samples removed due to spikes(n_spk_c)
  • 0=real or 1=dummy value of rho(real_rho)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • mean w (vertical) wind component(mean_w)
  • rotated variance w(var_rot_w)
  • covariance vc(cvar_vc)
  • covariance uq(cvar_uq)
  • rotated covariance uq(cvar_rot_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • covariance of tq(cvar_tq)
  • number of bad or out of range q samples(n_bad_q)
  • skewness of variable q(skew_q)
  • kurtosis of variable u(kurt_u)
  • covariance of qc(cvar_qc)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated variance v(var_rot_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • mean co2 concentration (c)(mean_c)
  • covariance uv(cvar_uv)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • number of bad or out of range t samples(n_bad_t)
  • mean horizontal wind speed(mean_rot_u)
  • variance of variable c(var_c)
  • rotated covariance vc(cvar_rot_vc)
  • skewness of variable u(skew_u)
  • uw covariance(cvar_uw)
  • covariance ut(cvar_ut)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • north latitude for all the input platforms.(lat)
  • skewness of variable w(skew_w)
  • rotated covariance wq(cvar_rot_wq)
  • momentum flux (dynamic)(k)
  • standard deviation of wind direction(std_wind_dir)
  • average voltage of IRGA cooler(mean_cooler)
  • mixing ratio(mr)
  • rotated variance u(var_rot_u)
  • variance of variable q(var_q)
  • number of bad or out of range w samples(n_bad_w)
  • kurtosis of variable c(kurt_c)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)


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DQRID : D051031.3
Start DateStart TimeEnd DateEnd Time
08/25/2005000008/29/20050230
Subject:
SGP/ECOR/E14 - CO2/H2O Incorrect
DataStreams:sgp30ecorE14.b1
Description:
The LI-7500 CO2/H2O sensor stopped working after a rainstorm.  CO2 and H2O data are 
incorrect during the stated period.
Measurements:sgp30ecorE14.b1:
  • skewness of variable q(skew_q)
  • rotated covariance uq(cvar_rot_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • covariance of qc(cvar_qc)
  • number of c samples removed due to spikes(n_spk_c)
  • rotated covariance wq(cvar_rot_wq)
  • covariance uq(cvar_uq)
  • rotated covariance uc(cvar_rot_uc)
  • number of valid q samples(n_good_q)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • number of bad or out of range c samples(n_bad_c)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • variance of variable q(var_q)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • variance of variable c(var_c)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • mean water vapor concentration (q)(mean_q)
  • kurtosis of variable c(kurt_c)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • covariance wq(cvar_wq)
  • number of valid c samples(n_good_c)
  • skewness of variable c(skew_c)
  • latent heat flux(lv_e)
  • mean co2 concentration (c)(mean_c)
  • CO2 flux(fc)
  • rotated covariance vq(cvar_rot_vq)
  • covariance wc(cvar_wc)
  • number of bad or out of range q samples(n_bad_q)
  • kurtosis of variable q(kurt_q)
  • covariance vq(cvar_vq)


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DQRID : D051101.10
Start DateStart TimeEnd DateEnd Time
08/30/2005193009/13/20050700
Subject:
SGP/ECOR/E6 - CO2 and H2O Fluxes and Means Incorrect
DataStreams:sgp30ecorE6.b1
Description:
The CO2 and H2O (lv_e) fluxes and means were incorrect during the period because the 
LI-7500 was not working.
Measurements:sgp30ecorE6.b1:
  • covariance wq(cvar_wq)
  • rotated covariance vc(cvar_rot_vc)
  • covariance vc(cvar_vc)
  • latent heat flux(lv_e)
  • covariance uq(cvar_uq)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance wc(cvar_rot_wc)
  • variance of variable q(var_q)
  • covariance of tc(cvar_tc)
  • mean water vapor concentration (q)(mean_q)
  • covariance of tq(cvar_tq)
  • covariance uc(cvar_uc)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • rotated covariance uq(cvar_rot_uq)
  • rotated covariance wq(cvar_rot_wq)
  • rotated covariance vq(cvar_rot_vq)
  • covariance vq(cvar_vq)
  • CO2 flux(fc)
  • covariance of qc(cvar_qc)
  • rotated covariance uc(cvar_rot_uc)
  • covariance wc(cvar_wc)
  • mean co2 concentration (c)(mean_c)
  • variance of variable c(var_c)


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DQRID : D051216.2
Start DateStart TimeEnd DateEnd Time
11/04/2005133011/17/20051630
12/01/2005193012/13/20051630
Subject:
SGP/ECOR/E14 - CO2/H2O Fluxes Incorrect All Times, All Measurements Incorrect Sometimes
DataStreams:sgp30ecorE14.b1
Description:
A problem with garbled sonic anemometer data sometimes occurred (causing all data to be 
incorrect), but this first followed a failure of analog communications with the LI-7500; 
LI-7500 analog measurements (but not the measurements communicated through the serial line) 
were incorrect during the entire period.

It is unclear at this point what initiated the problem.
Measurements:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • north latitude for all the input platforms.(lat)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • Time offset from base_time(base_time)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • number of bad or out of range c samples(n_bad_c)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • rotated covariance uw(cvar_rot_uw)
  • covariance ut(cvar_ut)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • number of bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • number of valid q samples(n_good_q)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • altitude above sea levelaltunits(alt)
  • variance of variable q(var_q)
  • Time offset of tweaks from base_time(time_offset)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • mean water vapor concentration (q)(mean_q)
  • kurtosis of variable c(kurt_c)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • east longitude for all the input platforms.(lon)
  • rotated covariance ut(cvar_rot_ut)
  • variance of variable t(var_t)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • vertical (elevation) wind angle(elev)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)


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DQRID : D060213.1
Start DateStart TimeEnd DateEnd Time
01/24/2006150002/13/20061930
Subject:
SGP/ECOR/E14 - ECOR Flux Data Incorrect
DataStreams:sgp30ecorE14.b1
Description:
Latent and sensible heat fluxes and CO2 flux data was incorrect as the sonic anemometer
data stream was garbled.
Measurements:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • number of bad or out of range c samples(n_bad_c)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • covariance ut(cvar_ut)
  • rotated covariance uw(cvar_rot_uw)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • number of bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • number of valid q samples(n_good_q)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • variance of variable q(var_q)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • kurtosis of variable c(kurt_c)
  • mean water vapor concentration (q)(mean_q)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • variance of variable t(var_t)
  • rotated covariance ut(cvar_rot_ut)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)


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DQRID : D060531.3
Start DateStart TimeEnd DateEnd Time
10/03/2003190005/25/20061800
Subject:
SGP/ECOR/E10 - Reprocess: Wind Direction Incorrect
DataStreams:sgp30ecorE10.b1
Description:
It was discovered that the E10 ECOR boom is aligned 17 degrees to the west of true north.  
Therefore, all wind direction data for the stated period is 17 degrees too high.  
Subtract 17 degrees from the wind direction to give the correct direction.

The E10 configuration file was modified to correct this problem.
Measurements:sgp30ecorE10.b1:
  • vector averaged wind direction(wind_dir)


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DQRID : D060612.2
Start DateStart TimeEnd DateEnd Time
05/05/2006210006/13/20061400
Subject:
SGP/ECOR/E14 - Corrupt raw ECOR data
DataStreams:sgp30ecorE14.b1
Description:
Latent heat flux and CO2 flux were missing and frequent missing data for most variables 
due to garbling of data by the ECOR program.
Measurements:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • number of bad or out of range c samples(n_bad_c)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • covariance ut(cvar_ut)
  • rotated covariance uw(cvar_rot_uw)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • number of bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • number of valid q samples(n_good_q)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • variance of variable q(var_q)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • kurtosis of variable c(kurt_c)
  • mean water vapor concentration (q)(mean_q)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • variance of variable t(var_t)
  • rotated covariance ut(cvar_rot_ut)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • vertical (elevation) wind angle(elev)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)


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DQRID : D060619.2
Start DateStart TimeEnd DateEnd Time
06/11/2006013007/31/20060730
Subject:
SGP/ECOR/E10 - LI-7500 Pressure and Temperature missing
DataStreams:sgp30ecorE10.b1
Description:
The LI-7500 pressure and temperature were not recorded;
the serial datastream was not being captured by the ECOR.
Measurements:sgp30ecorE10.b1:
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • average temperature (IGRA internal sensor)(temp_irga)


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DQRID : D060818.4
Start DateStart TimeEnd DateEnd Time
07/07/2006193007/14/20061500
Subject:
SGP/ECOR/E14 - Flux Measurements Incorrect
DataStreams:sgp30ecorE14.b1
Description:
The ECOR datastream was corrupted; this happens when the ECOR program produces a 
datastream of the wrong length (i.e., leaves one or measurements out).

Fluxes and some other measurements are incorrect.

Note: Mentor reports reprocessing will not correct this problem.
Measurements:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • north latitude for all the input platforms.(lat)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • Time offset from base_time(base_time)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • number of bad or out of range c samples(n_bad_c)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • rotated covariance uw(cvar_rot_uw)
  • covariance ut(cvar_ut)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • number of bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • number of valid q samples(n_good_q)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • altitude above sea levelaltunits(alt)
  • variance of variable q(var_q)
  • Time offset of tweaks from base_time(time_offset)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • mean water vapor concentration (q)(mean_q)
  • kurtosis of variable c(kurt_c)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • east longitude for all the input platforms.(lon)
  • rotated covariance ut(cvar_rot_ut)
  • variance of variable t(var_t)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • vertical (elevation) wind angle(elev)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)


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DQRID : D061106.2
Start DateStart TimeEnd DateEnd Time
Subject:
DataStreams:sgp30ecorE10.b1
Description:
Measurements:

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DQRID : D070223.1
Start DateStart TimeEnd DateEnd Time
01/14/2007050002/02/20071600
Subject:
SGP/ECOR/E14 - Fluxes and Most Measurements Incorrect
DataStreams:sgp30ecorE14.b1
Description:
The ECOR system was having major problems during this period and most measurements were 
incorrect most of the time.
Measurements:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • north latitude for all the input platforms.(lat)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • Time offset from base_time(base_time)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • number of bad or out of range c samples(n_bad_c)
  • mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • rotated covariance uw(cvar_rot_uw)
  • covariance ut(cvar_ut)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • number of bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • number of valid q samples(n_good_q)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • altitude above sea levelaltunits(alt)
  • variance of variable q(var_q)
  • Time offset of tweaks from base_time(time_offset)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • mean water vapor concentration (q)(mean_q)
  • kurtosis of variable c(kurt_c)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • east longitude for all the input platforms.(lon)
  • rotated covariance ut(cvar_rot_ut)
  • variance of variable t(var_t)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • vertical (elevation) wind angle(elev)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)


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