DQRs for Session: 104308 User:egutmannCompleted: 02-15-2007

Data Quality Reports for Session: 104308 User: egutmann Completed: 02/15/2007

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
D040617.4	SGP/ECOR/E21 - Irretrievable data loss	sgpecorE21.00, sgp30ecorE21.b1
D040707.1	SGP/ECOR/E6 - Sonic Sensor failure	sgpecorE6.00, sgp30ecorE6.b1
D040804.1	SGP/ECOR/E3 - Failed IRGA	sgp30ecorE3.b1
D040826.1	SGP/ECOR/E24 - Reprocess: Sonic analog input failure	sgp30ecorE24.b1
D041008.1	SGP/ECOR/E24 - Missing data	sgpecorE24.00, sgp30ecorE24.b1
D041025.2	SGP/ECOR/E1 - System time drift	sgpecorE1.00, sgp30ecorE1.b1
D041202.1	SGP/ECOR/E6 - Reprocess: Incorrect wind direction	sgp30ecorE6.b1
D041221.2	SGP/ECOR/E3 - Data transfer problem	sgpecorE3.00, sgp30ecorE3.b1
D050222.1	SGP/ECOR/E6 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE6.b1
D050421.3	SGP/ECOR/E24 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE24.b1
D050524.1	SGP/ECOR/E6 - Missing data	sgpecorE6.00, sgp30ecorE6.b1
D050524.3	SGP/ECOR/E6 - Sonic Sensor failure	sgp30ecorE6.b1
D050912.5	SGP/ECOR/E6 - Reprocess: Time Was 7 Hours Slow	sgp30ecorE6.b1
D050922.1	SGP/ECOR/E24 - Reprocess: Time Was 7 Hours Behind	sgp30ecorE24.b1
D051031.1	SGP/ECOR/E1 - Data Missing	sgp30ecorE1.b1
D051031.2	SGP/ECOR/E3 - Data Missing	sgp30ecorE3.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
D051101.11	SGP/ECOR/E21 - ECOR Data Missing	sgp30ecorE21.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
D051216.1	SGP/ECOR/E5 - CO2/H2O Fluxes Incorrect All Times, All Measurements Incorrect Sometimes	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)

Back To Table of Contents

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)

Back To Table of Contents

DQRID : D040617.4

Start Date	Start Time	End Date	End Time
06/10/2004	0130	06/11/2004	1830

Subject:	SGP/ECOR/E21 - Irretrievable data loss
DataStreams:	sgpecorE21.00, sgp30ecorE21.b1
Description:	Due to unknown reason the SGP.E21 ECOR system was not working; the data are missing and unrecoverable.
Measurements:	sgpecorE21.00: Raw data stream - documentation not supported(raw) 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)

Back To Table of Contents

DQRID : D040707.1

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

Subject:	SGP/ECOR/E6 - Sonic Sensor failure
DataStreams:	sgpecorE6.00, sgp30ecorE6.b1
Description:	Due to sonic sensor failure, humidity, CO2 concentration, latent heat flux, and CO2 flux data are incorrect.
Measurements:	sgpecorE6.00: Raw data stream - documentation not supported(raw) sgp30ecorE6.b1: skewness of variable q(skew_q) momentum flux (dynamic)(k) covariance uq(cvar_uq) average temperature (IGRA internal sensor)(temp_irga) skewness of variable c(skew_c) covariance of tc(cvar_tc) rotated covariance wc(cvar_rot_wc) Time offset from midnight of date of file. For CO data, this is identical to time_offset and is included for compatibility.(time) covariance uc(cvar_uc) covariance wc(cvar_wc) rotated covariance uc(cvar_rot_uc) number of valid c samples(n_good_c) number of samples with IRGA optical path blocked flag(n_bad_irga_light) kurtosis of variable q(kurt_q) variance of variable q(var_q) number of samples with \IRGA hardware problem\ flag(n_bad_irga) number of q samples removed due to spikes(n_spk_q) rotated covariance uq(cvar_rot_uq) specific heat of moist air(cp) covariance of qc(cvar_qc) corrected sensible heat flux(h) 0=real or 1=dummy value of rho(real_rho) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) covariance wq(cvar_wq) latent heat of vaporization(lv) average voltage of IRGA cooler(mean_cooler) Time offset of tweaks from base_time(time_offset) covariance vc(cvar_vc) Retrieved water vapor density profile(rho) covariance of tq(cvar_tq) number of valid q samples(n_good_q) number of c samples removed due to spikes(n_spk_c) rotated covariance vq(cvar_rot_vq) 0=real or 1=dummy value of lv(real_lv) mixing ratio(mr) variance of variable c(var_c) rotated covariance vc(cvar_rot_vc) kurtosis of variable c(kurt_c) number of bad or out of range q samples(n_bad_q) latent heat flux(lv_e) 0=real or 1=dummy value of mr(real_mr) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) wT covariance(cvar_wt) mean water vapor concentration (q)(mean_q) 0=real or 1=dummy value of cp(real_cp) average atmospheric pressure (IGRA internal sensor)(atm_pres) covariance vq(cvar_vq) rotated covariance wq(cvar_rot_wq) CO2 flux(fc) mean co2 concentration (c)(mean_c) number of bad or out of range c samples(n_bad_c)

Back To Table of Contents

DQRID : 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)

Back To Table of Contents

DQRID : D040826.1

Start Date	Start Time	End Date	End Time
06/04/2004	1000	09/16/2004	1730

Subject:	SGP/ECOR/E24 - Reprocess: Sonic analog input failure
DataStreams:	sgp30ecorE24.b1
Description:	All the data based on H2O and CO2 "analog signals" (latent heat flux, CO2 flux, etc.) are incorrect for the period of 10:00 June 4, 2004 to 17:30 Sept. 16, 2004 due to to failure in sonic anemometer analog input circuitry. Correct water vapor density and CO2 concentration data are stored in IRGA (infrared gas analyzer) raw data files (sgpecorE24.00 datastream); that data may be used to re-calculate fluxes.
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) 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) mixing ratio(mr) latent heat of vaporization(lv) rotated covariance uc(cvar_rot_uc) 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)

Back To Table of Contents

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:	sgpecorE24.00, 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)

Back To Table of Contents

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)

Back To Table of Contents

DQRID : D041202.1

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

Subject:	SGP/ECOR/E6 - Reprocess: Incorrect wind direction
DataStreams:	sgp30ecorE6.b1
Description:	The sonic anemometer was mounted 90 degrees off during August 26 Corrective Maintenance visit; the wind direction was reported 90 degrees off for the period of August 26, 2004, 15:30 to December 16, 2004, 16:30.
Measurements:	sgp30ecorE6.b1: vector averaged wind direction(wind_dir)

Back To Table of Contents

DQRID : 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)

Back To Table of Contents

DQRID : D050222.1

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

Subject:	SGP/ECOR/E6 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data
DataStreams:	sgp30ecorE6.b1
Description:	Due to system clock instability on ECOR computers their system time is adjusted approximately once per hour; sometimes this adjustment leads to backward time jumps over midnight, into the previous day. In this case all the data based on CO2/H2O measurements might be erroneously marked as bad. Below is a list of times when that might have happen. SITE YEAR MONTH DAY HOUR MINUTE 06 2004 06 14 00 00
Measurements:	sgp30ecorE6.b1: covariance wq(cvar_wq) skewness of variable q(skew_q) latent heat of vaporization(lv) covariance vc(cvar_vc) Retrieved water vapor density profile(rho) covariance uq(cvar_uq) skewness of variable c(skew_c) rotated covariance wc(cvar_rot_wc) covariance of tc(cvar_tc) covariance of tq(cvar_tq) covariance uc(cvar_uc) number of valid q samples(n_good_q) number of c samples removed due to spikes(n_spk_c) rotated covariance vq(cvar_rot_vq) 0=real or 1=dummy value of lv(real_lv) rotated covariance uc(cvar_rot_uc) mixing ratio(mr) covariance wc(cvar_wc) variance of variable c(var_c) number of valid c samples(n_good_c) rotated covariance vc(cvar_rot_vc) kurtosis of variable c(kurt_c) number of bad or out of range q samples(n_bad_q) 0=real or 1=dummy value of mr(real_mr) latent heat flux(lv_e) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) kurtosis of variable q(kurt_q) variance of variable q(var_q) mean water vapor concentration (q)(mean_q) 0=real or 1=dummy value of cp(real_cp) number of q samples removed due to spikes(n_spk_q) rotated covariance uq(cvar_rot_uq) rotated covariance wq(cvar_rot_wq) covariance vq(cvar_vq) CO2 flux(fc) covariance of qc(cvar_qc) mean co2 concentration (c)(mean_c) number of bad or out of range c samples(n_bad_c) 0=real or 1=dummy value of rho(real_rho) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)

Back To Table of Contents

DQRID : 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)

Back To Table of Contents

DQRID : D050524.1

Start Date	Start Time	End Date	End Time
07/05/2004	0800	07/05/2004	2200
08/23/2004	1230	08/26/2004	1530
01/05/2005	0330	01/13/2005	1600

Subject:	SGP/ECOR/E6 - Missing data
DataStreams:	sgpecorE6.00, 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)

Back To Table of Contents

DQRID : D050524.3

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

Subject:	SGP/ECOR/E6 - Sonic Sensor failure
DataStreams:	sgp30ecorE6.b1
Description:	Due to sonic sensor failure, wind, temperature and sensible heat flux data are suspect.
Measurements:	sgp30ecorE6.b1: covariance vt(cvar_vt) Vertical angle of wind(phi) variance of variable v(var_v) rotated covariance ut(cvar_rot_ut) rotated variance v(var_rot_v) rotated covariance uw(cvar_rot_uw) Down-boom wind velocity (u)(mean_u) number of bad or out of range w samples(n_bad_w) rotated variance u(var_rot_u) vw covariance(cvar_vw) number of u samples removed due to spikes(n_spk_u) covariance uv(cvar_uv) vector averaged wind speed(wind_spd) mean value of \spike\ u samples(mean_spk_u) rotated variance w(var_rot_w) number of samples with bad sonic status flag(n_bad_son_ic) skewness of variable u(skew_u) skewness of variable t(skew_t) vertical (elevation) wind angle(elev) number of valid t samples(n_good_t) standard deviation of wind direction(std_wind_dir) mean horizontal wind speed(mean_rot_u) variance of variable t(var_t) vector averaged wind direction(wind_dir) kurtosis of variable v(kurt_v) uw covariance(cvar_uw) number of valid w samples(n_good_w) skewness of variable v(skew_v) kurtosis of variable u(kurt_u) number of bad or out of range u samples(n_bad_u) number of valid v samples(n_good_v) rotated mean w(mean_rot_w) mean w (vertical) wind component(mean_w) number of bad or out of range v samples(n_bad_v) kurtosis of variable t(kurt_t) rotated covariance vw(cvar_rot_vw) rotated covariance uv(cvar_rot_uv) number of valid u samples(n_good_u) rotated mean v(mean_rot_v) kurtosis of variable w(kurt_w) number of v samples removed due to spikes(n_spk_v) skewness of variable w(skew_w) mean sonic temperature (t), i.e. virtual temperature(mean_t) number of bad or out of range t samples(n_bad_t) standard deviation of wind elevation angle(std_elev) friction velocity(ustar) rotated covariance vt(cvar_rot_vt) number of t samples removed due to spikes(n_spk_t) mean value of \spike\ v samples(mean_spk_v) covariance ut(cvar_ut) Cross-boom wind velocity (v)(mean_v) variance of variable w(var_w) wT covariance(cvar_wt) number of w samples removed due to spikes(n_spk_w) mean value of \spike\ w samples(mean_spk_w) variance of variable u(var_u) mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)

Back To Table of Contents

DQRID : D050912.5

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

Subject:	SGP/ECOR/E6 - Reprocess: Time Was 7 Hours Slow
DataStreams:	sgp30ecorE6.b1
Description:	When the site computer was changed on 8/11, the time was set 7 hours behind the correct time. This will be corrected by future reprocessing of the data.
Measurements:	sgp30ecorE6.b1: Time offset from midnight of date of file. For CO data, this is identical to time_offset and is included for compatibility.(time)

Back To Table of Contents

DQRID : 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)

Back To Table of Contents

DQRID : D051031.1

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

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

Back To Table of Contents

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

Back To Table of Contents

DQRID : D051031.5

Start Date	Start Time	End Date	End Time
06/05/2005	0330	06/08/2005	2100
07/23/2005	1630	07/27/2005	2000
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)

Back To Table of Contents

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)

Back To Table of Contents

DQRID : D051101.10

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

Subject:	SGP/ECOR/E6 - CO2 and H2O Fluxes and Means Incorrect
DataStreams:	sgp30ecorE6.b1
Description:	The CO2 and H2O (lv_e) fluxes and means were incorrect during the period because the LI-7500 was not working.
Measurements:	sgp30ecorE6.b1: covariance wq(cvar_wq) rotated covariance vc(cvar_rot_vc) covariance vc(cvar_vc) latent heat flux(lv_e) covariance uq(cvar_uq) average temperature (IGRA internal sensor)(temp_irga) rotated covariance wc(cvar_rot_wc) variance of variable q(var_q) covariance of tc(cvar_tc) mean water vapor concentration (q)(mean_q) covariance of tq(cvar_tq) covariance uc(cvar_uc) average atmospheric pressure (IGRA internal sensor)(atm_pres) rotated covariance uq(cvar_rot_uq) rotated covariance wq(cvar_rot_wq) rotated covariance vq(cvar_rot_vq) covariance vq(cvar_vq) CO2 flux(fc) covariance of qc(cvar_qc) rotated covariance uc(cvar_rot_uc) covariance wc(cvar_wc) mean co2 concentration (c)(mean_c) variance of variable c(var_c)

Back To Table of Contents

DQRID : D051101.11

Start Date	Start Time	End Date	End Time
09/07/2005	1630	09/15/2005	1530

Subject:	SGP/ECOR/E21 - ECOR Data Missing
DataStreams:	sgp30ecorE21.b1
Description:	The ECOR dtaa was missing during this period.
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)

Back To Table of Contents

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)

Back To Table of Contents

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)

Back To Table of Contents

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)

Back To Table of Contents

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)

Back To Table of Contents

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)

Back To Table of Contents

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)

Back To Table of Contents

END OF DATA