Data Quality Reports for Session: 102166 User: ql_data Completed: 10/18/2006

TABLE OF CONTENTS

DQR IDSubjectData Streams Affected
D040526.6SGP/ECOR/E3 - Failed sensorssgpecorE3.00, sgp30ecorE3.b1
D040804.1SGP/ECOR/E3 - Failed IRGAsgp30ecorE3.b1
D041221.2SGP/ECOR/E3 - Data transfer problemsgpecorE3.00, sgp30ecorE3.b1
D051031.2SGP/ECOR/E3 - Data Missingsgp30ecorE3.b1
D051101.8SGP/ECOR/E3 - CO2/H2O Sensor Not Workingsgp30ecorE3.b1
D060816.1SGP/ECOR/E3 - Data Missingsgp30ecorE3.b1
D060919.1SGP/ECOR/E3 - Missing Datasgp30ecorE3.b1


DQRID : D040526.6
Start DateStart TimeEnd DateEnd Time
05/25/2004030006/16/20041730
Subject:
SGP/ECOR/E3 - Failed sensors
DataStreams:sgpecorE3.00, sgp30ecorE3.b1
Description:
Data missing due to failed sonic anemometer and infrared gas analyzer. A
new sonic was installed on June 16.  All the data from May 25, 03:00 to June 16, 17:30 are 
irrevocably lost.
Measurements:sgp30ecorE3.b1:
  • covariance vq(cvar_vq)
  • corrected sensible heat flux(h)
  • friction velocity(ustar)
  • covariance wc(cvar_wc)
  • vector averaged wind direction(wind_dir)
  • mean value of \spike\ u samples(mean_spk_u)
  • vertical (elevation) wind angle(elev)
  • number of bad or out of range u samples(n_bad_u)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance wc(cvar_rot_wc)
  • number of valid w samples(n_good_w)
  • variance of variable u(var_u)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of bad or out of range q samples(n_bad_q)
  • variance of variable c(var_c)
  • number of bad or out of range t samples(n_bad_t)
  • latent heat of vaporization(lv)
  • mean water vapor concentration (q)(mean_q)
  • number of q samples removed due to spikes(n_spk_q)
  • altitude above sea levelaltunits(alt)
  • rotated covariance vt(cvar_rot_vt)
  • number of bad or out of range v samples(n_bad_v)
  • number of t samples removed due to spikes(n_spk_t)
  • variance of variable t(var_t)
  • mixing ratio(mr)
  • rotated covariance wt(cvar_rot_wt)
  • covariance ut(cvar_ut)
  • covariance uq(cvar_uq)
  • Down-boom wind velocity (u)(mean_u)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • kurtosis of variable c(kurt_c)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • number of valid u samples(n_good_u)
  • standard deviation of wind elevation angle(std_elev)
  • number of w samples removed due to spikes(n_spk_w)
  • skewness of variable t(skew_t)
  • rotated covariance uq(cvar_rot_uq)
  • momentum flux (dynamic)(k)
  • covariance vt(cvar_vt)
  • number of v samples removed due to spikes(n_spk_v)
  • CO2 flux(fc)
  • 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)
  • number of valid q samples(n_good_q)
  • Time offset of tweaks from base_time(time_offset)
  • rotated covariance vq(cvar_rot_vq)
  • covariance uc(cvar_uc)
  • kurtosis of variable t(kurt_t)
  • skewness of variable c(skew_c)
  • number of bad or out of range w samples(n_bad_w)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • vector averaged wind speed(wind_spd)
  • mean co2 concentration (c)(mean_c)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • skewness of variable q(skew_q)
  • number of valid v samples(n_good_v)
  • Vertical angle of wind(phi)
  • specific heat of moist air(cp)
  • east longitude for all the input platforms.(lon)
  • 0=real or 1=dummy value of rho(real_rho)
  • number of c samples removed due to spikes(n_spk_c)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • rotated variance w(var_rot_w)
  • covariance vc(cvar_vc)
  • kurtosis of variable q(kurt_q)
  • rotated variance v(var_rot_v)
  • rotated covariance uc(cvar_rot_uc)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of cp(real_cp)
  • vw covariance(cvar_vw)
  • covariance wq(cvar_wq)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of lv(real_lv)
  • variance of variable q(var_q)
  • Cross-boom wind velocity (v)(mean_v)
  • rotated covariance vw(cvar_rot_vw)
  • skewness of variable u(skew_u)
  • mean w (vertical) wind component(mean_w)
  • kurtosis of variable w(kurt_w)
  • 0=real or 1=dummy value of mr(real_mr)
  • latent heat flux(lv_e)
  • covariance of tq(cvar_tq)
  • kurtosis of variable v(kurt_v)
  • standard deviation of wind direction(std_wind_dir)
  • covariance uv(cvar_uv)
  • number of u samples removed due to spikes(n_spk_u)
  • variance of variable w(var_w)
  • covariance of qc(cvar_qc)
  • mean value of \spike\ w samples(mean_spk_w)
  • covariance of tc(cvar_tc)
  • Time offset from base_time(base_time)
  • rotated covariance ut(cvar_rot_ut)
  • mean value of \spike\ v samples(mean_spk_v)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vc(cvar_rot_vc)
  • rotated mean w(mean_rot_w)
  • uw covariance(cvar_uw)
  • skewness of variable v(skew_v)
  • variance of variable v(var_v)
  • number of valid c samples(n_good_c)
  • north latitude for all the input platforms.(lat)
  • average voltage of IRGA cooler(mean_cooler)
  • rotated variance u(var_rot_u)
  • rotated covariance uv(cvar_rot_uv)
  • rotated covariance wq(cvar_rot_wq)
  • mean horizontal wind speed(mean_rot_u)
  • kurtosis of variable u(kurt_u)
  • rotated covariance uw(cvar_rot_uw)
sgpecorE3.00:
  • Raw data stream - documentation not supported(raw)

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DQRID : D040804.1
Start DateStart TimeEnd DateEnd Time
06/16/2004173006/30/20041730
Subject:
SGP/ECOR/E3 - Failed IRGA
DataStreams:sgp30ecorE3.b1
Description:
Infrared gas analyzer (IRGA) failed 6/16; a new IRGA was installed on
6/30.  All data related to CO2 and water vapor concentration measurements
(including CO2 flux and latent heat flux) are incorrect for the period of
June 16, 2004, 17:30 to June 30, 2004, 17:30.  Wind and sensible heat flux data are OK.
Measurements:sgp30ecorE3.b1:
  • variance of variable q(var_q)
  • covariance vq(cvar_vq)
  • mixing ratio(mr)
  • covariance uc(cvar_uc)
  • skewness of variable c(skew_c)
  • covariance uq(cvar_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • mean co2 concentration (c)(mean_c)
  • latent heat flux(lv_e)
  • Retrieved water vapor density profile(rho)
  • skewness of variable q(skew_q)
  • covariance wc(cvar_wc)
  • kurtosis of variable c(kurt_c)
  • covariance of tq(cvar_tq)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • average temperature (IGRA internal sensor)(temp_irga)
  • specific heat of moist air(cp)
  • covariance of qc(cvar_qc)
  • rotated covariance wc(cvar_rot_wc)
  • covariance of tc(cvar_tc)
  • number of c samples removed due to spikes(n_spk_c)
  • rotated covariance uq(cvar_rot_uq)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • covariance vc(cvar_vc)
  • rotated covariance vc(cvar_rot_vc)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • kurtosis of variable q(kurt_q)
  • number of bad or out of range q samples(n_bad_q)
  • CO2 flux(fc)
  • rotated covariance uc(cvar_rot_uc)
  • variance of variable c(var_c)
  • number of bad or out of range c samples(n_bad_c)
  • number of valid c samples(n_good_c)
  • number of valid q samples(n_good_q)
  • latent heat of vaporization(lv)
  • mean water vapor concentration (q)(mean_q)
  • number of q samples removed due to spikes(n_spk_q)
  • rotated covariance wq(cvar_rot_wq)
  • covariance wq(cvar_wq)
  • rotated covariance vq(cvar_rot_vq)

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DQRID : D041221.2
Start DateStart TimeEnd DateEnd Time
12/19/2004135312/20/20040931
Subject:
SGP/ECOR/E3 - Data transfer problem
DataStreams:sgpecorE3.00, sgp30ecorE3.b1
Description:
Serial communication with one sensor (the IRGA) were partially disrupted due to 
deteriorating hardware from 13:53, Dec. 19, 2004 to 09:31 Dec. 20, 2004.  Serial data from the IRGA 
is mainly used to get sensor status codes, so this might lead to false increase of "bad" 
point count.  It seems that IRGA analog outputs (stored in raw sonic data file,  primary 
source of data) were not affected, so the flux data may be reprocessed or verified using 
raw sonic data files and ignoring IRGA sensor status.
Measurements:sgp30ecorE3.b1:
  • variance of variable q(var_q)
  • covariance vq(cvar_vq)
  • mixing ratio(mr)
  • covariance uc(cvar_uc)
  • rotated covariance wt(cvar_rot_wt)
  • skewness of variable c(skew_c)
  • covariance uq(cvar_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • mean co2 concentration (c)(mean_c)
  • latent heat flux(lv_e)
  • Retrieved water vapor density profile(rho)
  • skewness of variable q(skew_q)
  • covariance wc(cvar_wc)
  • kurtosis of variable c(kurt_c)
  • covariance of tq(cvar_tq)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • average temperature (IGRA internal sensor)(temp_irga)
  • specific heat of moist air(cp)
  • covariance of qc(cvar_qc)
  • rotated covariance wc(cvar_rot_wc)
  • covariance of tc(cvar_tc)
  • number of c samples removed due to spikes(n_spk_c)
  • rotated covariance uq(cvar_rot_uq)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • covariance vc(cvar_vc)
  • rotated covariance vc(cvar_rot_vc)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • kurtosis of variable q(kurt_q)
  • number of bad or out of range q samples(n_bad_q)
  • CO2 flux(fc)
  • rotated covariance uc(cvar_rot_uc)
  • variance of variable c(var_c)
  • number of bad or out of range c samples(n_bad_c)
  • number of valid c samples(n_good_c)
  • number of valid q samples(n_good_q)
  • latent heat of vaporization(lv)
  • average voltage of IRGA cooler(mean_cooler)
  • mean water vapor concentration (q)(mean_q)
  • number of q samples removed due to spikes(n_spk_q)
  • rotated covariance wq(cvar_rot_wq)
  • covariance wq(cvar_wq)
  • rotated covariance vq(cvar_rot_vq)
sgpecorE3.00:
  • Raw data stream - documentation not supported(raw)

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DQRID : D051031.2
Start DateStart TimeEnd DateEnd Time
07/01/2005013007/15/20051630
07/19/2005130007/27/20051400
Subject:
SGP/ECOR/E3 - Data Missing
DataStreams:sgp30ecorE3.b1
Description:
Data was missing for the first period (7/1/05-7/15/05) because of a data acuqisition 
laptop failure.  The cause of the second period (7/19/05-7/27/05) is not clear.
Measurements:sgp30ecorE3.b1:
  • covariance vq(cvar_vq)
  • corrected sensible heat flux(h)
  • friction velocity(ustar)
  • covariance wc(cvar_wc)
  • vector averaged wind direction(wind_dir)
  • mean value of \spike\ u samples(mean_spk_u)
  • vertical (elevation) wind angle(elev)
  • number of bad or out of range u samples(n_bad_u)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance wc(cvar_rot_wc)
  • number of valid w samples(n_good_w)
  • variance of variable u(var_u)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of bad or out of range q samples(n_bad_q)
  • variance of variable c(var_c)
  • number of bad or out of range t samples(n_bad_t)
  • latent heat of vaporization(lv)
  • mean water vapor concentration (q)(mean_q)
  • number of q samples removed due to spikes(n_spk_q)
  • altitude above sea levelaltunits(alt)
  • rotated covariance vt(cvar_rot_vt)
  • number of bad or out of range v samples(n_bad_v)
  • number of t samples removed due to spikes(n_spk_t)
  • variance of variable t(var_t)
  • mixing ratio(mr)
  • rotated covariance wt(cvar_rot_wt)
  • covariance ut(cvar_ut)
  • covariance uq(cvar_uq)
  • Down-boom wind velocity (u)(mean_u)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • kurtosis of variable c(kurt_c)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • number of valid u samples(n_good_u)
  • standard deviation of wind elevation angle(std_elev)
  • number of w samples removed due to spikes(n_spk_w)
  • skewness of variable t(skew_t)
  • rotated covariance uq(cvar_rot_uq)
  • momentum flux (dynamic)(k)
  • covariance vt(cvar_vt)
  • number of v samples removed due to spikes(n_spk_v)
  • CO2 flux(fc)
  • 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)
  • number of valid q samples(n_good_q)
  • Time offset of tweaks from base_time(time_offset)
  • rotated covariance vq(cvar_rot_vq)
  • covariance uc(cvar_uc)
  • kurtosis of variable t(kurt_t)
  • skewness of variable c(skew_c)
  • number of bad or out of range w samples(n_bad_w)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • vector averaged wind speed(wind_spd)
  • mean co2 concentration (c)(mean_c)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • skewness of variable q(skew_q)
  • number of valid v samples(n_good_v)
  • Vertical angle of wind(phi)
  • specific heat of moist air(cp)
  • east longitude for all the input platforms.(lon)
  • 0=real or 1=dummy value of rho(real_rho)
  • number of c samples removed due to spikes(n_spk_c)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • rotated variance w(var_rot_w)
  • covariance vc(cvar_vc)
  • kurtosis of variable q(kurt_q)
  • rotated variance v(var_rot_v)
  • rotated covariance uc(cvar_rot_uc)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of cp(real_cp)
  • vw covariance(cvar_vw)
  • covariance wq(cvar_wq)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of lv(real_lv)
  • variance of variable q(var_q)
  • Cross-boom wind velocity (v)(mean_v)
  • rotated covariance vw(cvar_rot_vw)
  • skewness of variable u(skew_u)
  • mean w (vertical) wind component(mean_w)
  • kurtosis of variable w(kurt_w)
  • 0=real or 1=dummy value of mr(real_mr)
  • latent heat flux(lv_e)
  • covariance of tq(cvar_tq)
  • kurtosis of variable v(kurt_v)
  • standard deviation of wind direction(std_wind_dir)
  • covariance uv(cvar_uv)
  • number of u samples removed due to spikes(n_spk_u)
  • variance of variable w(var_w)
  • covariance of qc(cvar_qc)
  • mean value of \spike\ w samples(mean_spk_w)
  • covariance of tc(cvar_tc)
  • Time offset from base_time(base_time)
  • rotated covariance ut(cvar_rot_ut)
  • mean value of \spike\ v samples(mean_spk_v)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vc(cvar_rot_vc)
  • rotated mean w(mean_rot_w)
  • uw covariance(cvar_uw)
  • skewness of variable v(skew_v)
  • variance of variable v(var_v)
  • number of valid c samples(n_good_c)
  • north latitude for all the input platforms.(lat)
  • average voltage of IRGA cooler(mean_cooler)
  • rotated variance u(var_rot_u)
  • rotated covariance uv(cvar_rot_uv)
  • rotated covariance wq(cvar_rot_wq)
  • mean horizontal wind speed(mean_rot_u)
  • kurtosis of variable u(kurt_u)
  • rotated covariance uw(cvar_rot_uw)

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DQRID : D051101.8
Start DateStart TimeEnd DateEnd Time
09/29/2005110002/08/20061700
Subject:
SGP/ECOR/E3 - CO2/H2O Sensor Not Working
DataStreams:sgp30ecorE3.b1
Description:
The CO2/H2O sensor failed.  Means and fluxes of CO2 and H2O (lv_e) are incorrect or 
missing.
Measurements:sgp30ecorE3.b1:
  • variance of variable q(var_q)
  • covariance vq(cvar_vq)
  • covariance uc(cvar_uc)
  • covariance uq(cvar_uq)
  • rotated covariance uq(cvar_rot_uq)
  • covariance vc(cvar_vc)
  • rotated covariance vc(cvar_rot_vc)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • latent heat flux(lv_e)
  • mean co2 concentration (c)(mean_c)
  • CO2 flux(fc)
  • rotated covariance uc(cvar_rot_uc)
  • covariance wc(cvar_wc)
  • variance of variable c(var_c)
  • covariance of tq(cvar_tq)
  • mean water vapor concentration (q)(mean_q)
  • rotated covariance wq(cvar_rot_wq)
  • average temperature (IGRA internal sensor)(temp_irga)
  • covariance wq(cvar_wq)
  • covariance of qc(cvar_qc)
  • rotated covariance wc(cvar_rot_wc)
  • covariance of tc(cvar_tc)
  • rotated covariance vq(cvar_rot_vq)

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DQRID : D060816.1
Start DateStart TimeEnd DateEnd Time
06/07/2006003006/14/20061600
Subject:
SGP/ECOR/E3 - Data Missing
DataStreams:sgp30ecorE3.b1
Description:
The data from this ECOR system was missing during the stated period.
Measurements:sgp30ecorE3.b1:
  • covariance vq(cvar_vq)
  • corrected sensible heat flux(h)
  • friction velocity(ustar)
  • covariance wc(cvar_wc)
  • vector averaged wind direction(wind_dir)
  • mean value of \spike\ u samples(mean_spk_u)
  • vertical (elevation) wind angle(elev)
  • number of bad or out of range u samples(n_bad_u)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance wc(cvar_rot_wc)
  • number of valid w samples(n_good_w)
  • variance of variable u(var_u)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of bad or out of range q samples(n_bad_q)
  • variance of variable c(var_c)
  • number of bad or out of range t samples(n_bad_t)
  • latent heat of vaporization(lv)
  • mean water vapor concentration (q)(mean_q)
  • number of q samples removed due to spikes(n_spk_q)
  • altitude above sea levelaltunits(alt)
  • rotated covariance vt(cvar_rot_vt)
  • number of bad or out of range v samples(n_bad_v)
  • number of t samples removed due to spikes(n_spk_t)
  • variance of variable t(var_t)
  • mixing ratio(mr)
  • rotated covariance wt(cvar_rot_wt)
  • covariance ut(cvar_ut)
  • covariance uq(cvar_uq)
  • Down-boom wind velocity (u)(mean_u)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • kurtosis of variable c(kurt_c)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • number of valid u samples(n_good_u)
  • standard deviation of wind elevation angle(std_elev)
  • number of w samples removed due to spikes(n_spk_w)
  • skewness of variable t(skew_t)
  • rotated covariance uq(cvar_rot_uq)
  • momentum flux (dynamic)(k)
  • covariance vt(cvar_vt)
  • number of v samples removed due to spikes(n_spk_v)
  • CO2 flux(fc)
  • 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)
  • number of valid q samples(n_good_q)
  • Time offset of tweaks from base_time(time_offset)
  • rotated covariance vq(cvar_rot_vq)
  • covariance uc(cvar_uc)
  • kurtosis of variable t(kurt_t)
  • skewness of variable c(skew_c)
  • number of bad or out of range w samples(n_bad_w)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • vector averaged wind speed(wind_spd)
  • mean co2 concentration (c)(mean_c)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • skewness of variable q(skew_q)
  • number of valid v samples(n_good_v)
  • Vertical angle of wind(phi)
  • specific heat of moist air(cp)
  • east longitude for all the input platforms.(lon)
  • 0=real or 1=dummy value of rho(real_rho)
  • number of c samples removed due to spikes(n_spk_c)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • rotated variance w(var_rot_w)
  • covariance vc(cvar_vc)
  • kurtosis of variable q(kurt_q)
  • rotated variance v(var_rot_v)
  • rotated covariance uc(cvar_rot_uc)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of cp(real_cp)
  • vw covariance(cvar_vw)
  • covariance wq(cvar_wq)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of lv(real_lv)
  • variance of variable q(var_q)
  • Cross-boom wind velocity (v)(mean_v)
  • rotated covariance vw(cvar_rot_vw)
  • skewness of variable u(skew_u)
  • mean w (vertical) wind component(mean_w)
  • kurtosis of variable w(kurt_w)
  • 0=real or 1=dummy value of mr(real_mr)
  • latent heat flux(lv_e)
  • covariance of tq(cvar_tq)
  • kurtosis of variable v(kurt_v)
  • standard deviation of wind direction(std_wind_dir)
  • covariance uv(cvar_uv)
  • number of u samples removed due to spikes(n_spk_u)
  • variance of variable w(var_w)
  • covariance of qc(cvar_qc)
  • mean value of \spike\ w samples(mean_spk_w)
  • covariance of tc(cvar_tc)
  • Time offset from base_time(base_time)
  • rotated covariance ut(cvar_rot_ut)
  • mean value of \spike\ v samples(mean_spk_v)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vc(cvar_rot_vc)
  • rotated mean w(mean_rot_w)
  • uw covariance(cvar_uw)
  • skewness of variable v(skew_v)
  • variance of variable v(var_v)
  • number of valid c samples(n_good_c)
  • north latitude for all the input platforms.(lat)
  • average voltage of IRGA cooler(mean_cooler)
  • rotated variance u(var_rot_u)
  • rotated covariance uv(cvar_rot_uv)
  • rotated covariance wq(cvar_rot_wq)
  • mean horizontal wind speed(mean_rot_u)
  • kurtosis of variable u(kurt_u)
  • rotated covariance uw(cvar_rot_uw)

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DQRID : D060919.1
Start DateStart TimeEnd DateEnd Time
08/03/2006013008/09/20061700
Subject:
SGP/ECOR/E3 - Missing Data
DataStreams:sgp30ecorE3.b1
Description:
All data was missing during this period.
Measurements:sgp30ecorE3.b1:
  • covariance vq(cvar_vq)
  • corrected sensible heat flux(h)
  • friction velocity(ustar)
  • covariance wc(cvar_wc)
  • vector averaged wind direction(wind_dir)
  • mean value of \spike\ u samples(mean_spk_u)
  • vertical (elevation) wind angle(elev)
  • number of bad or out of range u samples(n_bad_u)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance wc(cvar_rot_wc)
  • number of valid w samples(n_good_w)
  • variance of variable u(var_u)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of bad or out of range q samples(n_bad_q)
  • variance of variable c(var_c)
  • number of bad or out of range t samples(n_bad_t)
  • latent heat of vaporization(lv)
  • mean water vapor concentration (q)(mean_q)
  • number of q samples removed due to spikes(n_spk_q)
  • altitude above sea levelaltunits(alt)
  • rotated covariance vt(cvar_rot_vt)
  • number of bad or out of range v samples(n_bad_v)
  • number of t samples removed due to spikes(n_spk_t)
  • variance of variable t(var_t)
  • mixing ratio(mr)
  • rotated covariance wt(cvar_rot_wt)
  • covariance ut(cvar_ut)
  • covariance uq(cvar_uq)
  • Down-boom wind velocity (u)(mean_u)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • kurtosis of variable c(kurt_c)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • number of valid u samples(n_good_u)
  • standard deviation of wind elevation angle(std_elev)
  • number of w samples removed due to spikes(n_spk_w)
  • skewness of variable t(skew_t)
  • rotated covariance uq(cvar_rot_uq)
  • momentum flux (dynamic)(k)
  • covariance vt(cvar_vt)
  • number of v samples removed due to spikes(n_spk_v)
  • CO2 flux(fc)
  • 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)
  • number of valid q samples(n_good_q)
  • Time offset of tweaks from base_time(time_offset)
  • rotated covariance vq(cvar_rot_vq)
  • covariance uc(cvar_uc)
  • kurtosis of variable t(kurt_t)
  • skewness of variable c(skew_c)
  • number of bad or out of range w samples(n_bad_w)
  • Time offset from midnight of date of file. For CO data, this is identical to
    time_offset and is included for compatibility.(time)
  • vector averaged wind speed(wind_spd)
  • mean co2 concentration (c)(mean_c)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • skewness of variable q(skew_q)
  • number of valid v samples(n_good_v)
  • Vertical angle of wind(phi)
  • specific heat of moist air(cp)
  • east longitude for all the input platforms.(lon)
  • 0=real or 1=dummy value of rho(real_rho)
  • number of c samples removed due to spikes(n_spk_c)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • rotated variance w(var_rot_w)
  • covariance vc(cvar_vc)
  • kurtosis of variable q(kurt_q)
  • rotated variance v(var_rot_v)
  • rotated covariance uc(cvar_rot_uc)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of cp(real_cp)
  • vw covariance(cvar_vw)
  • covariance wq(cvar_wq)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of lv(real_lv)
  • variance of variable q(var_q)
  • Cross-boom wind velocity (v)(mean_v)
  • rotated covariance vw(cvar_rot_vw)
  • skewness of variable u(skew_u)
  • mean w (vertical) wind component(mean_w)
  • kurtosis of variable w(kurt_w)
  • 0=real or 1=dummy value of mr(real_mr)
  • latent heat flux(lv_e)
  • covariance of tq(cvar_tq)
  • kurtosis of variable v(kurt_v)
  • standard deviation of wind direction(std_wind_dir)
  • covariance uv(cvar_uv)
  • number of u samples removed due to spikes(n_spk_u)
  • variance of variable w(var_w)
  • covariance of qc(cvar_qc)
  • mean value of \spike\ w samples(mean_spk_w)
  • covariance of tc(cvar_tc)
  • Time offset from base_time(base_time)
  • rotated covariance ut(cvar_rot_ut)
  • mean value of \spike\ v samples(mean_spk_v)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vc(cvar_rot_vc)
  • rotated mean w(mean_rot_w)
  • uw covariance(cvar_uw)
  • skewness of variable v(skew_v)
  • variance of variable v(var_v)
  • number of valid c samples(n_good_c)
  • north latitude for all the input platforms.(lat)
  • average voltage of IRGA cooler(mean_cooler)
  • rotated variance u(var_rot_u)
  • rotated covariance uv(cvar_rot_uv)
  • rotated covariance wq(cvar_rot_wq)
  • mean horizontal wind speed(mean_rot_u)
  • kurtosis of variable u(kurt_u)
  • rotated covariance uw(cvar_rot_uw)

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END OF DATA