DQRs for Session: 104924 User:kcwangCompleted: 03-23-2007

Data Quality Reports for Session: 104924 User: kcwang Completed: 03/23/2007

TABLE OF CONTENTS

DQR ID	Subject	Data Streams Affected
D040526.6	SGP/ECOR/E3 - Missing data	sgpecorE3.00, sgp30ecorE3.b1
D040617.2	SGP/ECOR/E1 - Missing data	sgpecorE1.00, sgp30ecorE1.b1
D040804.1	SGP/ECOR/E3 - Failed IRGA	sgp30ecorE3.b1
D041025.2	SGP/ECOR/E1 - System time drift	sgpecorE1.00, sgp30ecorE1.b1
D041221.2	SGP/ECOR/E3 - Data transfer problem	sgpecorE3.00, sgp30ecorE3.b1
D051031.1		sgp30ecorE1.b1
D051031.2		sgp30ecorE3.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
D051216.1	SGP/ECOR/E5 - CO2/H2O Fluxes Incorrect All Times, All Measurements Incorrect Sometimes	sgp30ecorE5.b1
D060531.2		sgp30ecorE1.b1
D060616.3	SGP/ECOR/E5 - CO2 and Water Vapor Fluxes and Means Incorrect	sgp30ecorE5.b1
D060816.1		sgp30ecorE3.b1
D060919.1		sgp30ecorE3.b1
D070227.1	SGP/ECOR/E5 - Reprocess: Time shifted -7 hours	sgpecorE5.00, 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:	sgpecorE3.00, 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:	sgpecorE1.00, 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 : D040804.1

Start Date	Start Time	End Date	End Time
06/16/2004	1730	06/30/2004	1730

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

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DQRID : 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 : D041221.2

Start Date	Start Time	End Date	End Time
12/19/2004	1353	12/20/2004	0931

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

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DQRID : D051031.1

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

Subject:
DataStreams:	sgp30ecorE1.b1
Description:
Measurements:

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DQRID : D051031.2

Start Date	Start Time	End Date	End Time
07/01/2005	0130	07/15/2005	1630
07/19/2005	1300	07/27/2005	1400

Subject:
DataStreams:	sgp30ecorE3.b1
Description:
Measurements:

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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
10/25/2005	2030	10/31/2005	1930

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 : D051216.1

Start Date	Start Time	End Date	End Time
11/02/2005	1930	12/14/2005	1930

Subject:	SGP/ECOR/E5 - CO2/H2O Fluxes Incorrect All Times, All Measurements Incorrect Sometimes
DataStreams:	sgp30ecorE5.b1
Description:	A problem with garbled sonic anemometer data sometimes occurred (causing all data to be incorrect), but this first followed a failure of analog communications with the LI-7500; LI-7500 analog measurements (but not the measurements communicated through the serial line) were incorrect during the entire period. It is unclear at this point what initiated the problem.
Measurements:	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 : D060531.2

Start Date	Start Time	End Date	End Time
05/31/2006	2000	08/08/2006	2345

Subject:
DataStreams:	sgp30ecorE1.b1
Description:
Measurements:

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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 : D060816.1

Start Date	Start Time	End Date	End Time
06/07/2006	0030	06/14/2006	1600

Subject:
DataStreams:	sgp30ecorE3.b1
Description:
Measurements:

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DQRID : D060919.1

Start Date	Start Time	End Date	End Time
08/03/2006	0130	08/09/2006	1700

Subject:
DataStreams:	sgp30ecorE3.b1
Description:
Measurements:

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DQRID : D070227.1

Start Date	Start Time	End Date	End Time
02/21/2007	1900	02/23/2007	2330

Subject:	SGP/ECOR/E5 - Reprocess: Time shifted -7 hours
DataStreams:	sgpecorE5.00, sgp30ecorE5.b1
Description:	An inadvertant power outage caused the ECOR program to shut down abnormally. When power was restored, the timestamps on the ECOR files were 7 hours behind the correct time and the site ID was not accessed from the ECOR configuration file resulting in site ID (05) being replaced with "AN". These conditions caused the ECOR files to be unrecognizable and therefore are presently missing in the Archive. Correction of the timestamp and ID in the files should allow them to be processed and added to the Archive.
Measurements:	sgpecorE5.00: Raw data stream - documentation not supported(raw) 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) kurtosis of variable u(kurt_u) friction velocity(ustar) 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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END OF DATA