DQRs for Session: 102168 User:ql_dataCompleted: 10-18-2006

Data Quality Reports for Session: 102168 User: ql_data Completed: 10/18/2006

TABLE OF CONTENTS

DQR ID	Subject	Data Streams Affected
D040707.1	SGP/ECOR/E6 - Sonic Sensor failure	sgpecorE6.00, sgp30ecorE6.b1
D041202.1	SGP/ECOR/E6 - Reprocess: Incorrect wind direction	sgp30ecorE6.b1
D050222.1	SGP/ECOR/E6 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE6.b1
D050524.1	SGP/ECOR/E6 - Sonic sensor failure results in missing data	sgpecorE6.00, sgp30ecorE6.b1
D050524.3	SGP/ECOR/E6 - Sonic Sensor failure	sgp30ecorE6.b1
D050912.5	SGP/ECOR/E6 - Reprocess: Time Was 7 Hours Slow	sgp30ecorE6.b1
D051101.10	SGP/ECOR/E6 - CO2 and H2O Fluxes and Means Incorrect	sgp30ecorE6.b1

DQRID : D040707.1

Start Date	Start Time	End Date	End Time
07/05/2004	2230	08/23/2004	1200

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)

Back To Table of Contents

DQRID : D041202.1

Start Date	Start Time	End Date	End Time
08/26/2004	1530	12/16/2004	1630

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)

Back To Table of Contents

DQRID : D050222.1

Start Date	Start Time	End Date	End Time
06/14/2004	0000	06/14/2004	0030

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)

Back To Table of Contents

DQRID : D050524.1

Start Date	Start Time	End Date	End Time
07/05/2004	0800	07/05/2004	2200
08/23/2004	1230	08/26/2004	1530

Subject:	SGP/ECOR/E6 - Sonic sensor failure results in missing data
DataStreams:	sgpecorE6.00, sgp30ecorE6.b1
Description:	Data are missing due to a failed sonic sensor.
Measurements:	sgpecorE6.00: Raw data stream - documentation not supported(raw) 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)

Back To Table of Contents

DQRID : D050524.3

Start Date	Start Time	End Date	End Time
07/05/2004	2230	08/23/2004	1200

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)

Back To Table of Contents

DQRID : D050912.5

Start Date	Start Time	End Date	End Time
08/11/2005	0900	09/22/2005	1540

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)

Back To Table of Contents

DQRID : D051101.10

Start Date	Start Time	End Date	End Time
08/30/2005	1930	09/13/2005	0700

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)

Back To Table of Contents

END OF DATA