DQRs for Session: 101295 User:ql_dataCompleted: 08-24-2006

Data Quality Reports for Session: 101295 User: ql_data Completed: 08/24/2006

TABLE OF CONTENTS

DQR ID	Subject	Data Streams Affected
D040617.2	SGP/ECOR/E1 - Sensors failure	sgpecorE1.00, sgp30ecorE1.b1
D041025.2	SGP/ECOR/E1 - System time drift	sgpecorE1.00, sgp30ecorE1.b1
D051031.1	SGP/ECOR/E1 - Data Missing	sgp30ecorE1.b1
D051101.6	SGP/ECOR/E1 - ECOR Pressure and Temperature Missing	sgp30ecorE1.b1
D051101.7	SGP/ECOR/E1 - CO2 and H2O Fluxes Incorrect	sgp30ecorE1.b1

DQRID : D040617.2

Start Date	Start Time	End Date	End Time
06/15/2004	0900	09/10/2004	1800

Subject:	SGP/ECOR/E1 - Sensors failure
DataStreams:	sgpecorE1.00, sgp30ecorE1.b1
Description:	No data due to sensors failure. The data is irrevocably lost.
Measurements:	sgpecorE1.00: Raw data stream - documentation not supported(raw) sgp30ecorE1.b1: latent heat flux(lv_e) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) corrected sensible heat flux(h) rotated mean w(mean_rot_w) rotated mean v(mean_rot_v) variance of variable c(var_c) east longitude for all the input platforms.(lon) skewness of variable u(skew_u) kurtosis of variable c(kurt_c) momentum flux (dynamic)(k) Cross-boom wind velocity (v)(mean_v) Retrieved water vapor density profile(rho) vector averaged wind speed(wind_spd) rotated variance w(var_rot_w) 0=real or 1=dummy value of rho(real_rho) vector averaged wind direction(wind_dir) number of bad or out of range q samples(n_bad_q) number of valid w samples(n_good_w) covariance of qc(cvar_qc) rotated variance v(var_rot_v) number of samples with \IRGA hardware problem\ flag(n_bad_irga) skewness of variable v(skew_v) number of valid v samples(n_good_v) 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 valid q samples(n_good_q) rotated covariance vq(cvar_rot_vq) covariance of tc(cvar_tc) vw covariance(cvar_vw) mean w (vertical) wind component(mean_w) rotated covariance vc(cvar_rot_vc) average voltage of IRGA cooler(mean_cooler) covariance vq(cvar_vq) wT covariance(cvar_wt) skewness of variable w(skew_w) mean water vapor concentration (q)(mean_q) covariance wq(cvar_wq) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) rotated covariance wc(cvar_rot_wc) latent heat of vaporization(lv) Vertical angle of wind(phi) Time offset from base_time(base_time) mean co2 concentration (c)(mean_c) number of valid u samples(n_good_u) average temperature (IGRA internal sensor)(temp_irga) covariance vt(cvar_vt) number of samples with bad sonic status flag(n_bad_son_ic) variance of variable t(var_t) mixing ratio(mr) number of c samples removed due to spikes(n_spk_c) skewness of variable q(skew_q) rotated covariance uw(cvar_rot_uw) CO2 flux(fc) number of bad or out of range c samples(n_bad_c) variance of variable q(var_q) mean value of \spike\ w samples(mean_spk_w) friction velocity(ustar) 0=real or 1=dummy value of mr(real_mr) variance of variable u(var_u) number of v samples removed due to spikes(n_spk_v) kurtosis of variable v(kurt_v) rotated covariance wt(cvar_rot_wt) kurtosis of variable u(kurt_u) number of w samples removed due to spikes(n_spk_w) covariance ut(cvar_ut) rotated covariance uc(cvar_rot_uc) kurtosis of variable q(kurt_q) kurtosis of variable t(kurt_t) covariance uq(cvar_uq) uw covariance(cvar_uw) covariance wc(cvar_wc) Time offset of tweaks from base_time(time_offset) number of bad or out of range t samples(n_bad_t) rotated covariance vt(cvar_rot_vt) rotated covariance uv(cvar_rot_uv) mean horizontal wind speed(mean_rot_u) covariance uv(cvar_uv) covariance of tq(cvar_tq) north latitude for all the input platforms.(lat) Down-boom wind velocity (u)(mean_u) number of valid t samples(n_good_t) number of q samples removed due to spikes(n_spk_q) number of bad or out of range u samples(n_bad_u) skewness of variable c(skew_c) 0=real or 1=dummy value of cp(real_cp) rotated covariance vw(cvar_rot_vw) number of u samples removed due to spikes(n_spk_u) number of valid c samples(n_good_c) number of samples with IRGA optical path blocked flag(n_bad_irga_light) standard deviation of wind elevation angle(std_elev) altitude above sea levelaltunits(alt) rotated covariance wq(cvar_rot_wq) number of bad or out of range w samples(n_bad_w) rotated variance u(var_rot_u) rotated covariance ut(cvar_rot_ut) kurtosis of variable w(kurt_w) variance of variable v(var_v) standard deviation of wind direction(std_wind_dir) mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t) number of bad or out of range v samples(n_bad_v) number of t samples removed due to spikes(n_spk_t) mean sonic temperature (t), i.e. virtual temperature(mean_t) variance of variable w(var_w) skewness of variable t(skew_t) average atmospheric pressure (IGRA internal sensor)(atm_pres) specific heat of moist air(cp) covariance uc(cvar_uc) mean value of \spike\ v samples(mean_spk_v) vertical (elevation) wind angle(elev) 0=real or 1=dummy value of lv(real_lv) rotated covariance uq(cvar_rot_uq) covariance vc(cvar_vc) mean value of \spike\ u samples(mean_spk_u)

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DQRID : D041025.2

Start Date	Start Time	End Date	End Time
10/19/2004	2030	10/25/2004	1735

Subject:	SGP/ECOR/E1 - System time drift
DataStreams:	sgpecorE1.00, sgp30ecorE1.b1
Description:	Network Time Protocol (NTP) client was not working at the ECOR computer resulting in an ECOR system time drift of about 6s per hour. Time adjustment by +15 minutes occurred at 17:35:25, Oct. 25, 2004.
Measurements:	sgpecorE1.00: Raw data stream - documentation not supported(raw) sgp30ecorE1.b1: latent heat flux(lv_e) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) corrected sensible heat flux(h) rotated mean w(mean_rot_w) rotated mean v(mean_rot_v) variance of variable c(var_c) skewness of variable u(skew_u) kurtosis of variable c(kurt_c) momentum flux (dynamic)(k) Cross-boom wind velocity (v)(mean_v) Retrieved water vapor density profile(rho) vector averaged wind speed(wind_spd) rotated variance w(var_rot_w) 0=real or 1=dummy value of rho(real_rho) vector averaged wind direction(wind_dir) number of bad or out of range q samples(n_bad_q) number of valid w samples(n_good_w) covariance of qc(cvar_qc) rotated variance v(var_rot_v) number of samples with \IRGA hardware problem\ flag(n_bad_irga) skewness of variable v(skew_v) number of valid v samples(n_good_v) 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 valid q samples(n_good_q) rotated covariance vq(cvar_rot_vq) covariance of tc(cvar_tc) vw covariance(cvar_vw) mean w (vertical) wind component(mean_w) rotated covariance vc(cvar_rot_vc) average voltage of IRGA cooler(mean_cooler) covariance vq(cvar_vq) wT covariance(cvar_wt) skewness of variable w(skew_w) mean water vapor concentration (q)(mean_q) covariance wq(cvar_wq) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) rotated covariance wc(cvar_rot_wc) latent heat of vaporization(lv) Vertical angle of wind(phi) Time offset from base_time(base_time) mean co2 concentration (c)(mean_c) number of valid u samples(n_good_u) average temperature (IGRA internal sensor)(temp_irga) covariance vt(cvar_vt) number of samples with bad sonic status flag(n_bad_son_ic) variance of variable t(var_t) mixing ratio(mr) number of c samples removed due to spikes(n_spk_c) skewness of variable q(skew_q) rotated covariance uw(cvar_rot_uw) CO2 flux(fc) number of bad or out of range c samples(n_bad_c) variance of variable q(var_q) mean value of \spike\ w samples(mean_spk_w) friction velocity(ustar) 0=real or 1=dummy value of mr(real_mr) variance of variable u(var_u) number of v samples removed due to spikes(n_spk_v) kurtosis of variable v(kurt_v) rotated covariance wt(cvar_rot_wt) kurtosis of variable u(kurt_u) number of w samples removed due to spikes(n_spk_w) covariance ut(cvar_ut) rotated covariance uc(cvar_rot_uc) kurtosis of variable q(kurt_q) kurtosis of variable t(kurt_t) covariance uq(cvar_uq) uw covariance(cvar_uw) covariance wc(cvar_wc) Time offset of tweaks from base_time(time_offset) number of bad or out of range t samples(n_bad_t) rotated covariance vt(cvar_rot_vt) mean horizontal wind speed(mean_rot_u) rotated covariance uv(cvar_rot_uv) covariance uv(cvar_uv) covariance of tq(cvar_tq) Down-boom wind velocity (u)(mean_u) number of valid t samples(n_good_t) number of q samples removed due to spikes(n_spk_q) number of bad or out of range u samples(n_bad_u) skewness of variable c(skew_c) 0=real or 1=dummy value of cp(real_cp) rotated covariance vw(cvar_rot_vw) number of u samples removed due to spikes(n_spk_u) number of valid c samples(n_good_c) number of samples with IRGA optical path blocked flag(n_bad_irga_light) standard deviation of wind elevation angle(std_elev) rotated covariance wq(cvar_rot_wq) number of bad or out of range w samples(n_bad_w) rotated variance u(var_rot_u) rotated covariance ut(cvar_rot_ut) kurtosis of variable w(kurt_w) variance of variable v(var_v) standard deviation of wind direction(std_wind_dir) mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t) number of bad or out of range v samples(n_bad_v) number of t samples removed due to spikes(n_spk_t) mean sonic temperature (t), i.e. virtual temperature(mean_t) variance of variable w(var_w) skewness of variable t(skew_t) average atmospheric pressure (IGRA internal sensor)(atm_pres) specific heat of moist air(cp) covariance uc(cvar_uc) mean value of \spike\ v samples(mean_spk_v) vertical (elevation) wind angle(elev) 0=real or 1=dummy value of lv(real_lv) covariance vc(cvar_vc) mean value of \spike\ u samples(mean_spk_u) rotated covariance uq(cvar_rot_uq)

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DQRID : D051031.1

Start Date	Start Time	End Date	End Time
09/06/2005	1830	09/20/2005	2030

Subject:	SGP/ECOR/E1 - Data Missing
DataStreams:	sgp30ecorE1.b1
Description:	Instrument and computer problems caused the data for this period to be missing.
Measurements:	sgp30ecorE1.b1: latent heat flux(lv_e) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) corrected sensible heat flux(h) rotated mean w(mean_rot_w) rotated mean v(mean_rot_v) variance of variable c(var_c) east longitude for all the input platforms.(lon) skewness of variable u(skew_u) kurtosis of variable c(kurt_c) momentum flux (dynamic)(k) Cross-boom wind velocity (v)(mean_v) Retrieved water vapor density profile(rho) vector averaged wind speed(wind_spd) rotated variance w(var_rot_w) 0=real or 1=dummy value of rho(real_rho) vector averaged wind direction(wind_dir) number of bad or out of range q samples(n_bad_q) number of valid w samples(n_good_w) covariance of qc(cvar_qc) rotated variance v(var_rot_v) number of samples with \IRGA hardware problem\ flag(n_bad_irga) skewness of variable v(skew_v) number of valid v samples(n_good_v) 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 valid q samples(n_good_q) rotated covariance vq(cvar_rot_vq) covariance of tc(cvar_tc) vw covariance(cvar_vw) mean w (vertical) wind component(mean_w) rotated covariance vc(cvar_rot_vc) average voltage of IRGA cooler(mean_cooler) covariance vq(cvar_vq) wT covariance(cvar_wt) skewness of variable w(skew_w) mean water vapor concentration (q)(mean_q) covariance wq(cvar_wq) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) rotated covariance wc(cvar_rot_wc) latent heat of vaporization(lv) Vertical angle of wind(phi) Time offset from base_time(base_time) mean co2 concentration (c)(mean_c) number of valid u samples(n_good_u) average temperature (IGRA internal sensor)(temp_irga) covariance vt(cvar_vt) number of samples with bad sonic status flag(n_bad_son_ic) variance of variable t(var_t) mixing ratio(mr) number of c samples removed due to spikes(n_spk_c) skewness of variable q(skew_q) rotated covariance uw(cvar_rot_uw) CO2 flux(fc) number of bad or out of range c samples(n_bad_c) variance of variable q(var_q) mean value of \spike\ w samples(mean_spk_w) friction velocity(ustar) 0=real or 1=dummy value of mr(real_mr) variance of variable u(var_u) number of v samples removed due to spikes(n_spk_v) kurtosis of variable v(kurt_v) rotated covariance wt(cvar_rot_wt) kurtosis of variable u(kurt_u) number of w samples removed due to spikes(n_spk_w) covariance ut(cvar_ut) rotated covariance uc(cvar_rot_uc) kurtosis of variable q(kurt_q) kurtosis of variable t(kurt_t) covariance uq(cvar_uq) uw covariance(cvar_uw) covariance wc(cvar_wc) Time offset of tweaks from base_time(time_offset) number of bad or out of range t samples(n_bad_t) rotated covariance vt(cvar_rot_vt) rotated covariance uv(cvar_rot_uv) mean horizontal wind speed(mean_rot_u) covariance uv(cvar_uv) covariance of tq(cvar_tq) north latitude for all the input platforms.(lat) Down-boom wind velocity (u)(mean_u) number of valid t samples(n_good_t) number of q samples removed due to spikes(n_spk_q) number of bad or out of range u samples(n_bad_u) skewness of variable c(skew_c) 0=real or 1=dummy value of cp(real_cp) rotated covariance vw(cvar_rot_vw) number of u samples removed due to spikes(n_spk_u) number of valid c samples(n_good_c) number of samples with IRGA optical path blocked flag(n_bad_irga_light) standard deviation of wind elevation angle(std_elev) altitude above sea levelaltunits(alt) rotated covariance wq(cvar_rot_wq) number of bad or out of range w samples(n_bad_w) rotated variance u(var_rot_u) rotated covariance ut(cvar_rot_ut) kurtosis of variable w(kurt_w) variance of variable v(var_v) standard deviation of wind direction(std_wind_dir) mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t) number of bad or out of range v samples(n_bad_v) number of t samples removed due to spikes(n_spk_t) mean sonic temperature (t), i.e. virtual temperature(mean_t) variance of variable w(var_w) skewness of variable t(skew_t) average atmospheric pressure (IGRA internal sensor)(atm_pres) specific heat of moist air(cp) covariance uc(cvar_uc) mean value of \spike\ v samples(mean_spk_v) vertical (elevation) wind angle(elev) 0=real or 1=dummy value of lv(real_lv) covariance vc(cvar_vc) mean value of \spike\ u samples(mean_spk_u) rotated covariance uq(cvar_rot_uq)

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DQRID : D051101.6

Start Date	Start Time	End Date	End Time

Subject:	SGP/ECOR/E1 - ECOR Pressure and Temperature Missing
DataStreams:	sgp30ecorE1.b1
Description:	The pressure and temperature from the CO2/H2O sensor is missing due to a failure of some kind.
Measurements:	sgp30ecorE1.b1: average temperature (IGRA internal sensor)(temp_irga) average atmospheric pressure (IGRA internal sensor)(atm_pres)

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DQRID : D051101.7

Start Date	Start Time	End Date	End Time
10/18/2005	2000	10/21/2005	1800

Subject:	SGP/ECOR/E1 - CO2 and H2O Fluxes Incorrect
DataStreams:	sgp30ecorE1.b1
Description:	The CO2 and H2O fluxes (lv_e) were incorrect because of a LI-7500 failure.
Measurements:	sgp30ecorE1.b1: variance of variable c(var_c) rotated covariance uc(cvar_rot_uc) mean co2 concentration (c)(mean_c) latent heat flux(lv_e) covariance uq(cvar_uq) rotated covariance vq(cvar_rot_vq) covariance of tc(cvar_tc) CO2 flux(fc) covariance wc(cvar_wc) variance of variable q(var_q) rotated covariance vc(cvar_rot_vc) covariance vq(cvar_vq) mean water vapor concentration (q)(mean_q) covariance of tq(cvar_tq) covariance uc(cvar_uc) covariance wq(cvar_wq) rotated covariance wc(cvar_rot_wc) rotated covariance wq(cvar_rot_wq) rotated covariance uq(cvar_rot_uq) covariance vc(cvar_vc)

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END OF DATA