DQRs for Session: 106284 User:sloehrerCompleted: 06-27-2007

Data Quality Reports for Session: 106284 User: sloehrer Completed: 06/27/2007

TABLE OF CONTENTS

DQR ID	Subject	Data Streams Affected
D040526.6	SGP/ECOR/E3 - Missing data	sgp30ecorE3.b1
D040617.2	SGP/ECOR/E1 - Missing data	sgp30ecorE1.b1
D041008.1	SGP/ECOR/E24 - Missing data	sgp30ecorE24.b1
D041223.2	SGP/ECOR/E16 - Missing data	sgp30ecorE16.b1
D050413.5	SGP/ECOR/E10 - Reprocess: Incorrect H2O, CO2	sgpecorE10.00, sgp30ecorE10.b1
D050421.1	SGP/ECOR/E10 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE10.b1
D050421.2	SGP/ECOR/E16 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE16.b1
D050421.3	SGP/ECOR/E24 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE24.b1
D050524.1	SGP/ECOR/E6 - Missing data	sgp30ecorE6.b1
D050912.5	SGP/ECOR/E6 - Reprocess: Time Was 7 Hours Slow	sgp30ecorE6.b1
D050922.1	SGP/ECOR/E24 - Reprocess: Time Was 7 Hours Behind	sgp30ecorE24.b1
D051024.3	SGP/ECOR/E10 - Missing data	sgp30ecorE10.b1
D051031.3	SGP/ECOR/E14 - CO2/H2O Incorrect	sgp30ecorE14.b1
D051031.5	SGP/ECOR/E21 - Missing data	sgp30ecorE21.b1
D051031.6	SGP/ECOR/E24 - CO2/H2O Incorrect	sgp30ecorE24.b1
D051101.10	SGP/ECOR/E6 - CO2 and H2O Fluxes and Means Incorrect	sgp30ecorE6.b1
D051101.12	SGP/ECOR/E24 - CO2 and H2O Fluxes and Means Incorrect	sgp30ecorE24.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
D051101.8	SGP/ECOR/E3 - CO2/H2O Sensor Not Working	sgp30ecorE3.b1
D051101.9	SGP/ECOR/E5 - Missing data	sgp30ecorE5.b1
D051216.2	SGP/ECOR/E14 - Flux Measurements Incorrect	sgp30ecorE14.b1
D060104.1	SGP/ECOR/E16 - Flux Measurements Incorrect	sgp30ecorE16.b1
D060531.3	SGP/ECOR/E10 - Reprocess: Wind Direction Incorrect	sgp30ecorE10.b1
D060616.3	SGP/ECOR/E5 - CO2 and Water Vapor Fluxes and Means Incorrect	sgp30ecorE5.b1
D060619.2	SGP/ECOR/E10 - LI-7500 Pressure and Temperature missing	sgp30ecorE10.b1
D060619.4	SGP/ECOR/E16 - LI-7500 Pressure and Temperature missing	sgp30ecorE16.b1
D060620.1	SGP/ECOR/E21 - CO2 and Latent Heat Fluxes Incorrect	sgp30ecorE21.b1
D060707.4	SGP/ECOR/E16 - Latent Heat and CO2 Fluxes Incorrect	sgp30ecorE16.b1
D061103.4	SGP/ECOR/E24 - Reprocess: ECOR Time 7 Hours Behind	sgp30ecorE24.b1
D070510.1	SGP/ECOR/E5 - Flux Measurements Incorrect	sgp30ecorE5.b1

DQRID : D040526.6

Start Date	Start Time	End Date	End Time
05/25/2004	0300	06/16/2004	1730
07/01/2005	0200	07/15/2005	1600
07/19/2005	1300	07/27/2005	1500
06/07/2006	0030	06/14/2006	1600
08/03/2006	0130	08/09/2006	1700

Subject:	SGP/ECOR/E3 - Missing data
DataStreams:	sgp30ecorE3.b1
Description:	Data are missing and unrecoverable.
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 : D040617.2

Start Date	Start Time	End Date	End Time
06/15/2004	0900	09/10/2004	1800
10/03/2004	1500	10/05/2004	1830
05/24/2005	0800	06/07/2005	1800
09/06/2005	1900	09/20/2005	2030
05/31/2006	2000	08/08/2006	2230

Subject:	SGP/ECOR/E1 - Missing data
DataStreams:	sgp30ecorE1.b1
Description:	Data are missing and unrecoverable.
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 : D041008.1

Start Date	Start Time	End Date	End Time
10/07/2004	1230	12/09/2004	1730
10/20/2006	2130	10/26/2006	0900

Subject:	SGP/ECOR/E24 - Missing data
DataStreams:	sgp30ecorE24.b1
Description:	Data are missing and unrecoverable.
Measurements:	sgp30ecorE24.b1: covariance uq(cvar_uq) covariance of qc(cvar_qc) rotated variance v(var_rot_v) covariance wc(cvar_wc) 0=real or 1=dummy value of mr(real_mr) 0=real or 1=dummy value of rho(real_rho) Vertical angle of wind(phi) number of t samples removed due to spikes(n_spk_t) covariance uc(cvar_uc) number of u samples removed due to spikes(n_spk_u) mean sonic temperature (t), i.e. virtual temperature(mean_t) variance of variable v(var_v) rotated variance u(var_rot_u) rotated covariance wt(cvar_rot_wt) skewness of variable u(skew_u) latent heat of vaporization(lv) rotated variance w(var_rot_w) rotated covariance uc(cvar_rot_uc) 0=real or 1=dummy value of cp(real_cp) covariance of tq(cvar_tq) mean value of \spike\ w samples(mean_spk_w) skewness of variable t(skew_t) skewness of variable c(skew_c) friction velocity(ustar) CO2 flux(fc) covariance wq(cvar_wq) latent heat flux(lv_e) number of valid v samples(n_good_v) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) covariance of tc(cvar_tc) kurtosis of variable v(kurt_v) mean value of \spike\ v samples(mean_spk_v) specific heat of moist air(cp) number of valid w samples(n_good_w) rotated covariance wc(cvar_rot_wc) skewness of variable q(skew_q) Time offset of tweaks from base_time(time_offset) skewness of variable w(skew_w) kurtosis of variable w(kurt_w) number of bad or out of range c samples(n_bad_c) rotated mean w(mean_rot_w) kurtosis of variable t(kurt_t) number of valid t samples(n_good_t) number of bad or out of range v samples(n_bad_v) mean w (vertical) wind component(mean_w) mixing ratio(mr) number of samples with IRGA optical path blocked flag(n_bad_irga_light) Retrieved water vapor density profile(rho) number of q samples removed due to spikes(n_spk_q) 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 w samples(n_bad_w) 0=real or 1=dummy value of lv(real_lv) altitude above sea levelaltunits(alt) corrected sensible heat flux(h) covariance vc(cvar_vc) rotated covariance wq(cvar_rot_wq) kurtosis of variable u(kurt_u) skewness of variable v(skew_v) kurtosis of variable c(kurt_c) rotated covariance vc(cvar_rot_vc) covariance uv(cvar_uv) number of bad or out of range u samples(n_bad_u) number of w samples removed due to spikes(n_spk_w) number of valid c samples(n_good_c) mean co2 concentration (c)(mean_c) variance of variable t(var_t) mean water vapor concentration (q)(mean_q) number of bad or out of range t samples(n_bad_t) number of valid u samples(n_good_u) rotated mean v(mean_rot_v) uw covariance(cvar_uw) number of c samples removed due to spikes(n_spk_c) Cross-boom wind velocity (v)(mean_v) covariance ut(cvar_ut) mean horizontal wind speed(mean_rot_u) covariance vq(cvar_vq) rotated covariance vt(cvar_rot_vt) covariance vt(cvar_vt) mean value of \spike\ u samples(mean_spk_u) vector averaged wind direction(wind_dir) rotated covariance ut(cvar_rot_ut) standard deviation of wind elevation angle(std_elev) average voltage of IRGA cooler(mean_cooler) wT covariance(cvar_wt) momentum flux (dynamic)(k) average atmospheric pressure (IGRA internal sensor)(atm_pres) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) standard deviation of wind direction(std_wind_dir) vertical (elevation) wind angle(elev) variance of variable w(var_w) variance of variable c(var_c) rotated covariance uw(cvar_rot_uw) Time offset from base_time(base_time) variance of variable q(var_q) number of samples with bad sonic status flag(n_bad_son_ic) rotated covariance uq(cvar_rot_uq) vw covariance(cvar_vw) north latitude for all the input platforms.(lat) rotated covariance vw(cvar_rot_vw) number of v samples removed due to spikes(n_spk_v) rotated covariance uv(cvar_rot_uv) rotated covariance vq(cvar_rot_vq) number of bad or out of range q samples(n_bad_q) Time offset from midnight of date of file. For CO data, this is identical to time_offset and is included for compatibility.(time) variance of variable u(var_u) vector averaged wind speed(wind_spd) east longitude for all the input platforms.(lon) kurtosis of variable q(kurt_q) number of valid q samples(n_good_q) average temperature (IGRA internal sensor)(temp_irga) Down-boom wind velocity (u)(mean_u) number of samples with \IRGA hardware problem\ flag(n_bad_irga)

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DQRID : D041223.2

Start Date	Start Time	End Date	End Time
04/14/2004	1800	04/16/2004	1630
11/09/2004	1530	11/12/2004	1730
01/05/2005	0730	01/10/2005	1900
07/14/2005	1430	07/18/2005	1330
04/28/2006	1530	05/24/2006	1500
07/14/2006	0630	07/19/2006	1930

Subject:	SGP/ECOR/E16 - Missing data
DataStreams:	sgp30ecorE16.b1
Description:	Data are missing and unrecoverable.
Measurements:	sgp30ecorE16.b1: altitude above sea levelaltunits(alt) number of samples with \IRGA hardware problem\ flag(n_bad_irga) north latitude for all the input platforms.(lat) rotated covariance ut(cvar_rot_ut) latent heat flux(lv_e) number of valid u samples(n_good_u) number of samples with bad sonic status flag(n_bad_son_ic) 0=real or 1=dummy value of lv(real_lv) variance of variable u(var_u) covariance wq(cvar_wq) 0=real or 1=dummy value of rho(real_rho) vw covariance(cvar_vw) corrected sensible heat flux(h) standard deviation of wind elevation angle(std_elev) variance of variable w(var_w) wT covariance(cvar_wt) Time offset of tweaks from base_time(time_offset) mean w (vertical) wind component(mean_w) number of valid t samples(n_good_t) covariance vq(cvar_vq) Retrieved water vapor density profile(rho) rotated covariance wt(cvar_rot_wt) variance of variable c(var_c) vector averaged wind speed(wind_spd) covariance vc(cvar_vc) momentum flux (dynamic)(k) skewness of variable t(skew_t) standard deviation of wind direction(std_wind_dir) covariance of tc(cvar_tc) number of valid q samples(n_good_q) number of v samples removed due to spikes(n_spk_v) vertical (elevation) wind angle(elev) kurtosis of variable u(kurt_u) kurtosis of variable c(kurt_c) Time offset from base_time(base_time) rotated covariance uq(cvar_rot_uq) mixing ratio(mr) rotated mean v(mean_rot_v) number of valid c samples(n_good_c) covariance vt(cvar_vt) number of bad or out of range v samples(n_bad_v) number of bad or out of range u samples(n_bad_u) mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t) variance of variable v(var_v) mean co2 concentration (c)(mean_c) mean water vapor concentration (q)(mean_q) rotated mean w(mean_rot_w) rotated covariance vt(cvar_rot_vt) covariance wc(cvar_wc) number of w samples removed due to spikes(n_spk_w) skewness of variable q(skew_q) covariance of tq(cvar_tq) mean horizontal wind speed(mean_rot_u) mean value of \spike\ u samples(mean_spk_u) number of valid w samples(n_good_w) number of t samples removed due to spikes(n_spk_t) average atmospheric pressure (IGRA internal sensor)(atm_pres) rotated covariance vq(cvar_rot_vq) average temperature (IGRA internal sensor)(temp_irga) number of c samples removed due to spikes(n_spk_c) number of u samples removed due to spikes(n_spk_u) covariance ut(cvar_ut) friction velocity(ustar) covariance of qc(cvar_qc) rotated variance v(var_rot_v) vector averaged wind direction(wind_dir) variance of variable t(var_t) mean value of \spike\ v samples(mean_spk_v) kurtosis of variable w(kurt_w) skewness of variable c(skew_c) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) number of bad or out of range w samples(n_bad_w) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) number of q samples removed due to spikes(n_spk_q) Vertical angle of wind(phi) variance of variable q(var_q) rotated covariance uc(cvar_rot_uc) skewness of variable w(skew_w) number of bad or out of range q samples(n_bad_q) kurtosis of variable v(kurt_v) rotated variance u(var_rot_u) number of bad or out of range t samples(n_bad_t) 0=real or 1=dummy value of cp(real_cp) average voltage of IRGA cooler(mean_cooler) Down-boom wind velocity (u)(mean_u) rotated covariance uw(cvar_rot_uw) Cross-boom wind velocity (v)(mean_v) kurtosis of variable q(kurt_q) number of bad or out of range c samples(n_bad_c) rotated variance w(var_rot_w) mean value of \spike\ w samples(mean_spk_w) kurtosis of variable t(kurt_t) rotated covariance vc(cvar_rot_vc) uw covariance(cvar_uw) specific heat of moist air(cp) Time offset from midnight of date of file. For CO data, this is identical to time_offset and is included for compatibility.(time) skewness of variable u(skew_u) covariance uq(cvar_uq) rotated covariance uv(cvar_rot_uv) east longitude for all the input platforms.(lon) latent heat of vaporization(lv) mean sonic temperature (t), i.e. virtual temperature(mean_t) 0=real or 1=dummy value of mr(real_mr) skewness of variable v(skew_v) rotated covariance wc(cvar_rot_wc) covariance uv(cvar_uv) covariance uc(cvar_uc) number of samples with IRGA optical path blocked flag(n_bad_irga_light) rotated covariance wq(cvar_rot_wq) rotated covariance vw(cvar_rot_vw) number of valid v samples(n_good_v) CO2 flux(fc)

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DQRID : D050413.5

Start Date	Start Time	End Date	End Time
12/14/2004	2230	01/11/2005	2200

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 Date	Start Time	End Date	End Time
12/10/2003	0000	02/04/2005	0030

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 : D050421.2

Start Date	Start Time	End Date	End Time
02/23/2004	0000	03/13/2005	0030

Subject:	SGP/ECOR/E16 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data
DataStreams:	sgp30ecorE16.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 16 2004 02 23 00 00 16 2004 02 28 00 00 16 2004 03 01 00 00 16 2004 03 09 00 00 16 2004 03 15 00 00 16 2004 03 17 00 00 16 2004 03 22 00 00 16 2004 03 30 00 00 16 2004 04 02 00 00 16 2004 07 22 00 00 16 2004 08 06 00 00 16 2004 09 05 00 00 16 2004 09 20 00 00 16 2005 03 13 00 00
Measurements:	sgp30ecorE16.b1: latent heat flux(lv_e) covariance of qc(cvar_qc) rotated covariance vc(cvar_rot_vc) mixing ratio(mr) number of valid c samples(n_good_c) 0=real or 1=dummy value of lv(real_lv) specific heat of moist air(cp) covariance wq(cvar_wq) 0=real or 1=dummy value of rho(real_rho) skewness of variable c(skew_c) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) covariance uq(cvar_uq) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) number of q samples removed due to spikes(n_spk_q) mean co2 concentration (c)(mean_c) rotated covariance uc(cvar_rot_uc) mean water vapor concentration (q)(mean_q) variance of variable q(var_q) latent heat of vaporization(lv) number of bad or out of range q samples(n_bad_q) 0=real or 1=dummy value of mr(real_mr) covariance vq(cvar_vq) Retrieved water vapor density profile(rho) rotated covariance wc(cvar_rot_wc) covariance wc(cvar_wc) 0=real or 1=dummy value of cp(real_cp) skewness of variable q(skew_q) covariance of tq(cvar_tq) covariance uc(cvar_uc) variance of variable c(var_c) rotated covariance wq(cvar_rot_wq) covariance vc(cvar_vc) rotated covariance vq(cvar_rot_vq) number of valid q samples(n_good_q) CO2 flux(fc) covariance of tc(cvar_tc) number of bad or out of range c samples(n_bad_c) number of c samples removed due to spikes(n_spk_c)

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DQRID : D050421.3

Start Date	Start Time	End Date	End Time
03/19/2004	0000	03/24/2005	0030

Subject:	SGP/ECOR/E24 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data
DataStreams:	sgp30ecorE24.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 24 2004 03 19 00 00 24 2004 03 20 00 00 24 2004 03 21 00 00 24 2004 03 23 00 00 24 2004 03 24 00 00 24 2004 03 25 00 00 24 2004 03 26 00 00 24 2004 03 27 00 00 24 2004 03 28 00 00 24 2004 03 29 00 00 24 2004 03 31 00 00 24 2004 04 01 00 00 24 2004 04 02 00 00 24 2004 04 03 00 00 24 2004 04 16 00 00 24 2004 04 17 00 00 24 2004 04 18 00 00 24 2004 04 22 00 00 24 2004 04 23 00 00 24 2004 04 30 00 00 24 2004 05 30 00 00 24 2004 05 31 00 00 24 2004 06 01 00 00 24 2004 06 02 00 00 24 2004 06 03 00 00 24 2004 06 05 00 00 24 2004 06 06 00 00 24 2004 06 07 00 00 24 2004 06 08 00 00 24 2004 06 12 00 00 24 2004 06 13 00 00 24 2004 06 14 00 00 24 2004 06 17 00 00 24 2004 06 18 00 00 24 2004 06 19 00 00 24 2004 06 20 00 00 24 2004 06 22 00 00 24 2004 06 23 00 00 24 2004 06 24 00 00 24 2004 06 25 00 00 24 2004 06 26 00 00 24 2004 06 27 00 00 24 2004 06 28 00 00 24 2004 06 29 00 00 24 2004 06 30 00 00 24 2004 07 01 00 00 24 2004 07 02 00 00 24 2004 07 05 00 00 24 2004 07 06 00 00 24 2004 07 07 00 00 24 2004 07 11 00 00 24 2004 07 12 00 00 24 2004 07 13 00 00 24 2004 07 14 00 00 24 2004 07 16 00 00 24 2004 07 17 00 00 24 2004 07 18 00 00 24 2004 07 19 00 00 24 2004 07 20 00 00 24 2004 07 21 00 00 24 2004 07 22 00 00 24 2004 07 25 00 00 24 2004 07 26 00 00 24 2004 07 27 00 00 24 2004 07 28 00 00 24 2004 07 29 00 00 24 2004 08 01 00 00 24 2004 08 02 00 00 24 2004 08 03 00 00 24 2004 08 05 00 00 24 2004 08 06 00 00 24 2004 08 07 00 00 24 2004 08 08 00 00 24 2004 08 09 00 00 24 2004 08 20 00 00 24 2004 08 21 00 00 24 2004 08 22 00 00 24 2004 08 25 00 00 24 2004 08 26 00 00 24 2004 08 27 00 00 24 2004 08 28 00 00 24 2004 08 29 00 00 24 2004 08 30 00 00 24 2004 08 31 00 00 24 2004 09 01 00 00 24 2004 09 04 00 00 24 2004 09 05 00 00 24 2004 09 06 00 00 24 2004 09 07 00 00 24 2004 09 08 00 00 24 2004 09 09 00 00 24 2004 09 10 00 00 24 2004 09 11 00 00 24 2004 09 13 00 00 24 2004 09 14 00 00 24 2004 09 17 00 00 24 2004 09 18 00 00 24 2004 09 19 00 00 24 2004 09 22 00 00 24 2004 09 23 00 00 24 2004 09 24 00 00 24 2004 09 25 00 00 24 2004 09 26 00 00 24 2004 09 27 00 00 24 2004 09 29 00 00 24 2004 09 30 00 00 24 2004 10 01 00 00 24 2004 10 02 00 00 24 2004 10 05 00 00 24 2004 10 06 00 00 24 2004 10 07 00 00 24 2004 12 11 00 00 24 2004 12 12 00 00 24 2004 12 13 00 00 24 2004 12 14 00 00 24 2004 12 15 00 00 24 2004 12 16 00 00 24 2004 12 17 00 00 24 2004 12 18 00 00 24 2004 12 19 00 00 24 2004 12 20 00 00 24 2004 12 21 00 00 24 2004 12 24 00 00 24 2004 12 26 00 00 24 2004 12 27 00 00 24 2004 12 28 00 00 24 2004 12 29 00 00 24 2004 12 31 00 00 24 2005 01 01 00 00 24 2005 01 02 00 00 24 2005 01 04 00 00 24 2005 01 07 00 00 24 2005 01 09 00 00 24 2005 01 10 00 00 24 2005 01 11 00 00 24 2005 01 15 00 00 24 2005 01 17 00 00 24 2005 01 18 00 00 24 2005 01 20 00 00 24 2005 01 22 00 00 24 2005 01 25 00 00 24 2005 01 27 00 00 24 2005 01 30 00 00 24 2005 02 03 00 00 24 2005 02 05 00 00 24 2005 02 06 00 00 24 2005 02 07 00 00 24 2005 02 10 00 00 24 2005 02 11 00 00 24 2005 02 12 00 00 24 2005 02 14 00 00 24 2005 02 17 00 00 24 2005 02 18 00 00 24 2005 02 19 00 00 24 2005 02 20 00 00 24 2005 02 21 00 00 24 2005 02 22 00 00 24 2005 02 23 00 00 24 2005 02 24 00 00 24 2005 02 25 00 00 24 2005 02 26 00 00 24 2005 02 28 00 00 24 2005 03 04 00 00 24 2005 03 05 00 00 24 2005 03 06 00 00 24 2005 03 07 00 00 24 2005 03 09 00 00 24 2005 03 11 00 00 24 2005 03 12 00 00 24 2005 03 13 00 00 24 2005 03 14 00 00 24 2005 03 15 00 00 24 2005 03 20 00 00 24 2005 03 21 00 00 24 2005 03 23 00 00 24 2005 03 24 00 00
Measurements:	sgp30ecorE24.b1: covariance uq(cvar_uq) covariance vc(cvar_vc) variance of variable c(var_c) covariance of qc(cvar_qc) rotated covariance wq(cvar_rot_wq) CO2 flux(fc) covariance wc(cvar_wc) covariance wq(cvar_wq) 0=real or 1=dummy value of mr(real_mr) 0=real or 1=dummy value of rho(real_rho) variance of variable q(var_q) 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 c(kurt_c) covariance uc(cvar_uc) covariance of tc(cvar_tc) rotated covariance vc(cvar_rot_vc) rotated covariance uq(cvar_rot_uq) specific heat of moist air(cp) number of valid c samples(n_good_c) rotated covariance wc(cvar_rot_wc) mean co2 concentration (c)(mean_c) skewness of variable q(skew_q) mean water vapor concentration (q)(mean_q) number of c samples removed due to spikes(n_spk_c) number of bad or out of range c samples(n_bad_c) covariance vq(cvar_vq) rotated covariance vq(cvar_rot_vq) mixing ratio(mr) latent heat of vaporization(lv) rotated covariance uc(cvar_rot_uc) Retrieved water vapor density profile(rho) number of bad or out of range q samples(n_bad_q) 0=real or 1=dummy value of cp(real_cp) number of q samples removed due to spikes(n_spk_q) number of valid q samples(n_good_q) kurtosis of variable q(kurt_q) covariance of tq(cvar_tq) 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 lv(real_lv) skewness of variable c(skew_c)

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DQRID : D050524.1

Start Date	Start Time	End Date	End Time
08/23/2004	1230	08/26/2004	1530
01/05/2005	0330	01/13/2005	1600

Subject:	SGP/ECOR/E6 - Missing data
DataStreams:	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 : 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)

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DQRID : D050922.1

Start Date	Start Time	End Date	End Time
09/16/2005	0800	09/29/2005	1430

Subject:	SGP/ECOR/E24 - Reprocess: Time Was 7 Hours Behind
DataStreams:	sgp30ecorE24.b1
Description:	When the site computer was changed on 9/16 the time was set 7 hours behind the actual time. This problem may be fixed during future reprocessing of the data.
Measurements:	sgp30ecorE24.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 Date	Start Time	End Date	End Time
12/03/2003	2200	12/05/2003	2030
05/13/2005	1100	05/16/2005	1600
08/09/2005	1630	10/18/2005	2130
07/31/2006	0800	01/09/2007	2030

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 Date	Start Time	End Date	End Time
08/25/2005	0000	08/29/2005	0230

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 : D051031.5

Start Date	Start Time	End Date	End Time
06/05/2005	0330	06/08/2005	2100
07/23/2005	1700	07/27/2005	1930
08/09/2005	0100	08/16/2005	1930
09/07/2005	1630	09/15/2005	1530
01/18/2006	1500	01/26/2006	1800
05/05/2006	2330	05/11/2006	0400
06/01/2006	2130	06/06/2006	2030
09/20/2006	0430	09/27/2006	1830

Subject:	SGP/ECOR/E21 - Missing data
DataStreams:	sgp30ecorE21.b1
Description:	Data are missing and unrecoverable.
Measurements:	sgp30ecorE21.b1: uw covariance(cvar_uw) skewness of variable u(skew_u) wT covariance(cvar_wt) kurtosis of variable t(kurt_t) number of valid q samples(n_good_q) covariance uq(cvar_uq) skewness of variable v(skew_v) mean value of \spike\ v samples(mean_spk_v) number of bad or out of range q samples(n_bad_q) covariance vt(cvar_vt) number of v samples removed due to spikes(n_spk_v) rotated covariance uw(cvar_rot_uw) mean co2 concentration (c)(mean_c) skewness of variable q(skew_q) number of u samples removed due to spikes(n_spk_u) friction velocity(ustar) number of samples with bad sonic status flag(n_bad_son_ic) number of c samples removed due to spikes(n_spk_c) number of bad or out of range t samples(n_bad_t) altitude above sea levelaltunits(alt) standard deviation of wind elevation angle(std_elev) mean value of \spike\ u samples(mean_spk_u) covariance uv(cvar_uv) specific heat of moist air(cp) vw covariance(cvar_vw) number of valid t samples(n_good_t) vertical (elevation) wind angle(elev) mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t) rotated variance w(var_rot_w) skewness of variable w(skew_w) average atmospheric pressure (IGRA internal sensor)(atm_pres) rotated covariance uv(cvar_rot_uv) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) number of valid w samples(n_good_w) rotated covariance vw(cvar_rot_vw) rotated mean v(mean_rot_v) rotated covariance vc(cvar_rot_vc) 0=real or 1=dummy value of cp(real_cp) covariance vq(cvar_vq) average voltage of IRGA cooler(mean_cooler) kurtosis of variable v(kurt_v) number of bad or out of range w samples(n_bad_w) covariance uc(cvar_uc) variance of variable u(var_u) Retrieved water vapor density profile(rho) rotated variance v(var_rot_v) number of t samples removed due to spikes(n_spk_t) number of valid u samples(n_good_u) 0=real or 1=dummy value of rho(real_rho) number of w samples removed due to spikes(n_spk_w) number of q samples removed due to spikes(n_spk_q) covariance of qc(cvar_qc) number of valid v samples(n_good_v) mean water vapor concentration (q)(mean_q) kurtosis of variable w(kurt_w) mean value of \spike\ w samples(mean_spk_w) momentum flux (dynamic)(k) Time offset from midnight of date of file. For CO data, this is identical to time_offset and is included for compatibility.(time) kurtosis of variable u(kurt_u) average temperature (IGRA internal sensor)(temp_irga) Time offset of tweaks from base_time(time_offset) rotated covariance wc(cvar_rot_wc) mean horizontal wind speed(mean_rot_u) covariance of tq(cvar_tq) mixing ratio(mr) mean sonic temperature (t), i.e. virtual temperature(mean_t) rotated variance u(var_rot_u) variance of variable t(var_t) number of bad or out of range c samples(n_bad_c) rotated mean w(mean_rot_w) 0=real or 1=dummy value of lv(real_lv) standard deviation of wind direction(std_wind_dir) covariance vc(cvar_vc) number of samples with \IRGA hardware problem\ flag(n_bad_irga) corrected sensible heat flux(h) covariance of tc(cvar_tc) rotated covariance wq(cvar_rot_wq) variance of variable w(var_w) skewness of variable c(skew_c) skewness of variable t(skew_t) 0=real or 1=dummy value of mr(real_mr) rotated covariance uq(cvar_rot_uq) rotated covariance ut(cvar_rot_ut) east longitude for all the input platforms.(lon) variance of variable v(var_v) rotated covariance wt(cvar_rot_wt) variance of variable c(var_c) vector averaged wind speed(wind_spd) CO2 flux(fc) mean w (vertical) wind component(mean_w) number of valid c samples(n_good_c) covariance ut(cvar_ut) latent heat flux(lv_e) kurtosis of variable q(kurt_q) covariance wq(cvar_wq) north latitude for all the input platforms.(lat) vector averaged wind direction(wind_dir) number of bad or out of range v samples(n_bad_v) latent heat of vaporization(lv) Vertical angle of wind(phi) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) Time offset from base_time(base_time) kurtosis of variable c(kurt_c) number of bad or out of range u samples(n_bad_u) Cross-boom wind velocity (v)(mean_v) variance of variable q(var_q) covariance wc(cvar_wc) rotated covariance vt(cvar_rot_vt) rotated covariance uc(cvar_rot_uc) rotated covariance vq(cvar_rot_vq) Down-boom wind velocity (u)(mean_u) number of samples with IRGA optical path blocked flag(n_bad_irga_light)

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DQRID : D051031.6

Start Date	Start Time	End Date	End Time
06/22/2005	0900	06/24/2005	1500

Subject:	SGP/ECOR/E24 - CO2/H2O Incorrect
DataStreams:	sgp30ecorE24.b1
Description:	The CO2/H2O sensor was not working during this period. All CO2 and H2O means and fluxes are incorrect and LI-7500 pressure and temperature are also incorrect.
Measurements:	sgp30ecorE24.b1: covariance uq(cvar_uq) covariance vc(cvar_vc) covariance of qc(cvar_qc) variance of variable c(var_c) rotated covariance wq(cvar_rot_wq) CO2 flux(fc) covariance wc(cvar_wc) covariance wq(cvar_wq) variance of variable q(var_q) 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 c(kurt_c) covariance uc(cvar_uc) covariance of tc(cvar_tc) rotated covariance vc(cvar_rot_vc) rotated covariance uq(cvar_rot_uq) number of valid c samples(n_good_c) rotated covariance wc(cvar_rot_wc) skewness of variable q(skew_q) mean co2 concentration (c)(mean_c) mean water vapor concentration (q)(mean_q) number of c samples removed due to spikes(n_spk_c) number of bad or out of range c samples(n_bad_c) covariance vq(cvar_vq) rotated covariance vq(cvar_rot_vq) number of samples with IRGA optical path blocked flag(n_bad_irga_light) rotated covariance uc(cvar_rot_uc) number of bad or out of range q samples(n_bad_q) number of q samples removed due to spikes(n_spk_q) number of valid q samples(n_good_q) kurtosis of variable q(kurt_q) covariance of tq(cvar_tq) average atmospheric pressure (IGRA internal sensor)(atm_pres) 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) number of samples with \IRGA hardware problem\ flag(n_bad_irga) skewness of variable c(skew_c)

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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)

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DQRID : D051101.12

Start Date	Start Time	End Date	End Time
08/24/2005	2330	08/29/2005	0300

Subject:	SGP/ECOR/E24 - CO2 and H2O Fluxes and Means Incorrect
DataStreams:	sgp30ecorE24.b1
Description:	The CO2 and H2O (lv_e) fluxes adn means were incorrect while the LI-7500 sensor was not working.
Measurements:	sgp30ecorE24.b1: covariance uq(cvar_uq) covariance vc(cvar_vc) variance of variable c(var_c) covariance of qc(cvar_qc) covariance vq(cvar_vq) rotated covariance wq(cvar_rot_wq) covariance wq(cvar_wq) covariance wc(cvar_wc) CO2 flux(fc) rotated covariance vq(cvar_rot_vq) latent heat flux(lv_e) variance of variable q(var_q) rotated covariance uc(cvar_rot_uc) covariance uc(cvar_uc) covariance of tc(cvar_tc) rotated covariance vc(cvar_rot_vc) rotated covariance uq(cvar_rot_uq) rotated covariance wc(cvar_rot_wc) mean co2 concentration (c)(mean_c) mean water vapor concentration (q)(mean_q) average atmospheric pressure (IGRA internal sensor)(atm_pres) covariance of tq(cvar_tq)

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DQRID : D051101.6

Start Date	Start Time	End Date	End Time
10/05/2005	1400	05/31/2006	1930

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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DQRID : D051101.8

Start Date	Start Time	End Date	End Time
09/29/2005	1100	02/08/2006	1700

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 : D051101.9

Start Date	Start Time	End Date	End Time
01/04/2005	2230	01/12/2005	1830

Subject:	SGP/ECOR/E5 - Missing data
DataStreams:	sgp30ecorE5.b1
Description:	Data are missing and unrecoverable.
Measurements:	sgp30ecorE5.b1: mixing ratio(mr) 0=real or 1=dummy value of mr(real_mr) covariance ut(cvar_ut) variance of variable q(var_q) number of valid u samples(n_good_u) 0=real or 1=dummy value of rho(real_rho) covariance of tq(cvar_tq) Time offset of tweaks from base_time(time_offset) vw covariance(cvar_vw) covariance uv(cvar_uv) skewness of variable q(skew_q) 0=real or 1=dummy value of lv(real_lv) vector averaged wind direction(wind_dir) 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) mean value of \spike\ u samples(mean_spk_u) covariance of qc(cvar_qc) number of t samples removed due to spikes(n_spk_t) skewness of variable c(skew_c) mean value of \spike\ v samples(mean_spk_v) rotated mean v(mean_rot_v) specific heat of moist air(cp) rotated covariance vq(cvar_rot_vq) rotated covariance ut(cvar_rot_ut) rotated covariance uw(cvar_rot_uw) skewness of variable u(skew_u) rotated covariance vw(cvar_rot_vw) rotated covariance uv(cvar_rot_uv) kurtosis of variable q(kurt_q) number of valid v samples(n_good_v) skewness of variable t(skew_t) variance of variable c(var_c) vector averaged wind speed(wind_spd) number of bad or out of range t samples(n_bad_t) north latitude for all the input platforms.(lat) number of v samples removed due to spikes(n_spk_v) latent heat flux(lv_e) mean water vapor concentration (q)(mean_q) number of u samples removed due to spikes(n_spk_u) number of samples with \IRGA hardware problem\ flag(n_bad_irga) rotated variance w(var_rot_w) number of bad or out of range w samples(n_bad_w) number of samples with bad sonic status flag(n_bad_son_ic) altitude above sea levelaltunits(alt) uw covariance(cvar_uw) rotated covariance vt(cvar_rot_vt) number of w samples removed due to spikes(n_spk_w) mean horizontal wind speed(mean_rot_u) covariance uq(cvar_uq) Retrieved water vapor density profile(rho) number of c samples removed due to spikes(n_spk_c) number of q samples removed due to spikes(n_spk_q) number of valid c samples(n_good_c) rotated covariance wc(cvar_rot_wc) standard deviation of wind elevation angle(std_elev) variance of variable v(var_v) covariance wc(cvar_wc) Time offset from midnight of date of file. For CO data, this is identical to time_offset and is included for compatibility.(time) average atmospheric pressure (IGRA internal sensor)(atm_pres) rotated covariance vc(cvar_rot_vc) latent heat of vaporization(lv) mean sonic temperature (t), i.e. virtual temperature(mean_t) kurtosis of variable c(kurt_c) number of bad or out of range u samples(n_bad_u) covariance vt(cvar_vt) rotated covariance wq(cvar_rot_wq) vertical (elevation) wind angle(elev) kurtosis of variable t(kurt_t) number of valid t samples(n_good_t) number of samples with IRGA optical path blocked flag(n_bad_irga_light) covariance uc(cvar_uc) number of bad or out of range v samples(n_bad_v) friction velocity(ustar) kurtosis of variable u(kurt_u) momentum flux (dynamic)(k) 0=real or 1=dummy value of cp(real_cp) variance of variable w(var_w) number of bad or out of range q samples(n_bad_q) skewness of variable v(skew_v) skewness of variable w(skew_w) variance of variable u(var_u) average voltage of IRGA cooler(mean_cooler) rotated covariance uq(cvar_rot_uq) Down-boom wind velocity (u)(mean_u) kurtosis of variable v(kurt_v) variance of variable t(var_t) rotated variance u(var_rot_u) rotated variance v(var_rot_v) kurtosis of variable w(kurt_w) covariance vc(cvar_vc) east longitude for all the input platforms.(lon) covariance of tc(cvar_tc) Time offset from base_time(base_time) number of bad or out of range c samples(n_bad_c) wT covariance(cvar_wt) corrected sensible heat flux(h) number of valid w samples(n_good_w) rotated covariance uc(cvar_rot_uc) CO2 flux(fc) mean co2 concentration (c)(mean_c) rotated covariance wt(cvar_rot_wt) Vertical angle of wind(phi) average temperature (IGRA internal sensor)(temp_irga) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) covariance wq(cvar_wq) mean w (vertical) wind component(mean_w) mean value of \spike\ w samples(mean_spk_w) standard deviation of wind direction(std_wind_dir) Cross-boom wind velocity (v)(mean_v) rotated mean w(mean_rot_w) mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t) covariance vq(cvar_vq)

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DQRID : D051216.2

Start Date	Start Time	End Date	End Time
11/04/2005	1330	11/17/2005	1630
12/01/2005	1930	12/13/2005	1630
01/24/2006	1500	02/13/2006	1930
05/05/2006	2100	06/13/2006	1400
07/07/2006	1930	07/14/2006	1500

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 more measurements out). Fluxes and some other measurements are incorrect. Reprocessing will not correct this problem; the raw data are corrupted.
Measurements:	sgp30ecorE14.b1: mean co2 concentration (c)(mean_c) CO2 flux(fc) mean water vapor concentration (q)(mean_q) average temperature (IGRA internal sensor)(temp_irga) average atmospheric pressure (IGRA internal sensor)(atm_pres) corrected sensible heat flux(h) latent heat flux(lv_e)

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DQRID : D060104.1

Start Date	Start Time	End Date	End Time
11/09/2005	1630	01/18/2006	1230

Subject:	SGP/ECOR/E16 - Flux Measurements Incorrect
DataStreams:	sgp30ecorE16.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 more measurements out). Fluxes and some other measurements are incorrect. Reprocessing will not correct this problem; the raw data are corrupted.
Measurements:	sgp30ecorE16.b1: latent heat flux(lv_e) corrected sensible heat flux(h) average atmospheric pressure (IGRA internal sensor)(atm_pres) mean co2 concentration (c)(mean_c) average temperature (IGRA internal sensor)(temp_irga) mean water vapor concentration (q)(mean_q) CO2 flux(fc)

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DQRID : D060531.3

Start Date	Start Time	End Date	End Time
10/03/2003	1900	05/25/2006	1800

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 : D060616.3

Start Date	Start Time	End Date	End Time
06/14/2006	2130	06/17/2006	1030

Subject:	SGP/ECOR/E5 - CO2 and Water Vapor Fluxes and Means Incorrect
DataStreams:	sgp30ecorE5.b1
Description:	The LI-7500 at E5 ECOR did not putting out data during this period. Therefore, CO2 and H2O fluxes and means were incorrect during the period.
Measurements:	sgp30ecorE5.b1: rotated covariance vc(cvar_rot_vc) number of bad or out of range c samples(n_bad_c) variance of variable q(var_q) kurtosis of variable c(kurt_c) rotated covariance wq(cvar_rot_wq) rotated covariance uc(cvar_rot_uc) covariance of tq(cvar_tq) covariance uc(cvar_uc) latent heat flux(lv_e) CO2 flux(fc) mean water vapor concentration (q)(mean_q) mean co2 concentration (c)(mean_c) skewness of variable q(skew_q) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) average temperature (IGRA internal sensor)(temp_irga) number of samples with bad sonic status flag(n_bad_son_ic) number of valid q samples(n_good_q) covariance wq(cvar_wq) number of bad or out of range q samples(n_bad_q) covariance of qc(cvar_qc) skewness of variable c(skew_c) rotated covariance vq(cvar_rot_vq) rotated covariance uq(cvar_rot_uq) covariance uq(cvar_uq) covariance vc(cvar_vc) number of c samples removed due to spikes(n_spk_c) number of q samples removed due to spikes(n_spk_q) number of valid c samples(n_good_c) rotated covariance wc(cvar_rot_wc) covariance of tc(cvar_tc) kurtosis of variable q(kurt_q) covariance vq(cvar_vq) covariance wc(cvar_wc) variance of variable c(var_c) average atmospheric pressure (IGRA internal sensor)(atm_pres)

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DQRID : D060619.2

Start Date	Start Time	End Date	End Time
06/11/2006	0130	07/31/2006	0730

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 : D060619.4

Start Date	Start Time	End Date	End Time
06/17/2006	0230	08/02/2006	1530

Subject:	SGP/ECOR/E16 - LI-7500 Pressure and Temperature missing
DataStreams:	sgp30ecorE16.b1
Description:	The pressure and temperature measurements were not recorded; the LI-7500 serial datastream was not being captured by the ECOR system because of a serial port failure. Some degradation of the latent and sensible heat fluxes may have occurred during high summer temperatures. The error in the fluxes would be no more than 5 to 10% of the measurement, still well within the measurement error of the system.
Measurements:	sgp30ecorE16.b1: latent heat of vaporization(lv) latent heat flux(lv_e) corrected sensible heat flux(h) average atmospheric pressure (IGRA internal sensor)(atm_pres) Retrieved water vapor density profile(rho) average temperature (IGRA internal sensor)(temp_irga) specific heat of moist air(cp)

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DQRID : D060620.1

Start Date	Start Time	End Date	End Time
04/13/2006	1230	04/25/2006	1500

Subject:	SGP/ECOR/E21 - CO2 and Latent Heat Fluxes Incorrect
DataStreams:	sgp30ecorE21.b1
Description:
Measurements:	sgp30ecorE21.b1: rotated covariance wc(cvar_rot_wc) variance of variable c(var_c) covariance of tq(cvar_tq) CO2 flux(fc) number of valid q samples(n_good_q) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) covariance uq(cvar_uq) number of valid c samples(n_good_c) rotated covariance vc(cvar_rot_vc) number of bad or out of range c samples(n_bad_c) latent heat flux(lv_e) covariance vq(cvar_vq) kurtosis of variable q(kurt_q) covariance wq(cvar_wq) number of bad or out of range q samples(n_bad_q) covariance uc(cvar_uc) covariance vc(cvar_vc) number of samples with \IRGA hardware problem\ flag(n_bad_irga) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) kurtosis of variable c(kurt_c) mean co2 concentration (c)(mean_c) covariance of tc(cvar_tc) variance of variable q(var_q) covariance wc(cvar_wc) number of q samples removed due to spikes(n_spk_q) rotated covariance wq(cvar_rot_wq) skewness of variable q(skew_q) mean water vapor concentration (q)(mean_q) number of c samples removed due to spikes(n_spk_c) rotated covariance uc(cvar_rot_uc) skewness of variable c(skew_c) rotated covariance vq(cvar_rot_vq) rotated covariance uq(cvar_rot_uq) number of samples with IRGA optical path blocked flag(n_bad_irga_light)

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DQRID : D060707.4

Start Date	Start Time	End Date	End Time
06/21/2006	1500	06/23/2006	1600

Subject:	SGP/ECOR/E16 - Latent Heat and CO2 Fluxes Incorrect
DataStreams:	sgp30ecorE16.b1
Description:	The LI-7500 CO2/H2O water vapor sensor was removed during this period.
Measurements:	sgp30ecorE16.b1: latent heat flux(lv_e) covariance of qc(cvar_qc) kurtosis of variable c(kurt_c) rotated covariance uq(cvar_rot_uq) rotated covariance vc(cvar_rot_vc) number of valid c samples(n_good_c) specific heat of moist air(cp) covariance wq(cvar_wq) 0=real or 1=dummy value of rho(real_rho) skewness of variable c(skew_c) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) covariance uq(cvar_uq) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) number of q samples removed due to spikes(n_spk_q) mean co2 concentration (c)(mean_c) rotated covariance uc(cvar_rot_uc) mean water vapor concentration (q)(mean_q) variance of variable q(var_q) number of bad or out of range q samples(n_bad_q) covariance vq(cvar_vq) Retrieved water vapor density profile(rho) rotated covariance wc(cvar_rot_wc) covariance wc(cvar_wc) 0=real or 1=dummy value of cp(real_cp) skewness of variable q(skew_q) covariance of tq(cvar_tq) covariance uc(cvar_uc) variance of variable c(var_c) rotated covariance wq(cvar_rot_wq) covariance vc(cvar_vc) rotated covariance vq(cvar_rot_vq) number of valid q samples(n_good_q) kurtosis of variable q(kurt_q) CO2 flux(fc) covariance of tc(cvar_tc) number of bad or out of range c samples(n_bad_c) number of c samples removed due to spikes(n_spk_c)

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DQRID : D061103.4

Start Date	Start Time	End Date	End Time
10/26/2006	0930	11/07/2006	0830
11/10/2006	1330	11/14/2006	0730

Subject:	SGP/ECOR/E24 - Reprocess: ECOR Time 7 Hours Behind
DataStreams:	sgp30ecorE24.b1
Description:	The ECOR time was 7 hours behind during these periods.
Measurements:	sgp30ecorE24.b1: covariance uq(cvar_uq) covariance of qc(cvar_qc) rotated variance v(var_rot_v) covariance wc(cvar_wc) 0=real or 1=dummy value of mr(real_mr) 0=real or 1=dummy value of rho(real_rho) Vertical angle of wind(phi) number of t samples removed due to spikes(n_spk_t) covariance uc(cvar_uc) number of u samples removed due to spikes(n_spk_u) mean sonic temperature (t), i.e. virtual temperature(mean_t) variance of variable v(var_v) rotated variance u(var_rot_u) rotated covariance wt(cvar_rot_wt) skewness of variable u(skew_u) latent heat of vaporization(lv) rotated variance w(var_rot_w) rotated covariance uc(cvar_rot_uc) 0=real or 1=dummy value of cp(real_cp) covariance of tq(cvar_tq) mean value of \spike\ w samples(mean_spk_w) skewness of variable t(skew_t) skewness of variable c(skew_c) friction velocity(ustar) CO2 flux(fc) covariance wq(cvar_wq) latent heat flux(lv_e) number of valid v samples(n_good_v) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) covariance of tc(cvar_tc) kurtosis of variable v(kurt_v) mean value of \spike\ v samples(mean_spk_v) specific heat of moist air(cp) number of valid w samples(n_good_w) rotated covariance wc(cvar_rot_wc) skewness of variable q(skew_q) Time offset of tweaks from base_time(time_offset) skewness of variable w(skew_w) kurtosis of variable w(kurt_w) number of bad or out of range c samples(n_bad_c) rotated mean w(mean_rot_w) kurtosis of variable t(kurt_t) number of valid t samples(n_good_t) number of bad or out of range v samples(n_bad_v) mean w (vertical) wind component(mean_w) mixing ratio(mr) number of samples with IRGA optical path blocked flag(n_bad_irga_light) Retrieved water vapor density profile(rho) number of q samples removed due to spikes(n_spk_q) 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 w samples(n_bad_w) 0=real or 1=dummy value of lv(real_lv) altitude above sea levelaltunits(alt) corrected sensible heat flux(h) covariance vc(cvar_vc) rotated covariance wq(cvar_rot_wq) kurtosis of variable u(kurt_u) skewness of variable v(skew_v) kurtosis of variable c(kurt_c) rotated covariance vc(cvar_rot_vc) covariance uv(cvar_uv) number of bad or out of range u samples(n_bad_u) number of w samples removed due to spikes(n_spk_w) number of valid c samples(n_good_c) mean co2 concentration (c)(mean_c) variance of variable t(var_t) mean water vapor concentration (q)(mean_q) number of bad or out of range t samples(n_bad_t) number of valid u samples(n_good_u) rotated mean v(mean_rot_v) uw covariance(cvar_uw) number of c samples removed due to spikes(n_spk_c) Cross-boom wind velocity (v)(mean_v) covariance ut(cvar_ut) mean horizontal wind speed(mean_rot_u) covariance vq(cvar_vq) rotated covariance vt(cvar_rot_vt) covariance vt(cvar_vt) mean value of \spike\ u samples(mean_spk_u) vector averaged wind direction(wind_dir) rotated covariance ut(cvar_rot_ut) standard deviation of wind elevation angle(std_elev) average voltage of IRGA cooler(mean_cooler) wT covariance(cvar_wt) momentum flux (dynamic)(k) average atmospheric pressure (IGRA internal sensor)(atm_pres) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) standard deviation of wind direction(std_wind_dir) vertical (elevation) wind angle(elev) variance of variable w(var_w) variance of variable c(var_c) rotated covariance uw(cvar_rot_uw) Time offset from base_time(base_time) variance of variable q(var_q) number of samples with bad sonic status flag(n_bad_son_ic) rotated covariance uq(cvar_rot_uq) vw covariance(cvar_vw) north latitude for all the input platforms.(lat) rotated covariance vw(cvar_rot_vw) number of v samples removed due to spikes(n_spk_v) rotated covariance uv(cvar_rot_uv) rotated covariance vq(cvar_rot_vq) number of bad or out of range q samples(n_bad_q) Time offset from midnight of date of file. For CO data, this is identical to time_offset and is included for compatibility.(time) variance of variable u(var_u) vector averaged wind speed(wind_spd) east longitude for all the input platforms.(lon) kurtosis of variable q(kurt_q) number of valid q samples(n_good_q) average temperature (IGRA internal sensor)(temp_irga) Down-boom wind velocity (u)(mean_u) number of samples with \IRGA hardware problem\ flag(n_bad_irga)

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DQRID : D070510.1

Start Date	Start Time	End Date	End Time
11/20/2005	1930	12/14/2005	1930
04/18/2007	1930	05/17/2007	1815

Subject:	SGP/ECOR/E5 - Flux Measurements Incorrect
DataStreams:	sgp30ecorE5.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 more measurements out). Fluxes and some other measurements are incorrect. Note: Mentor reports reprocessing will not correct this problem.
Measurements:	sgp30ecorE5.b1: latent heat flux(lv_e) CO2 flux(fc) corrected sensible heat flux(h)

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END OF DATA