DQRs for Session: 103887 User:chainCompleted: 01-24-2007

Data Quality Reports for Session: 103887 User: chain Completed: 01/24/2007

TABLE OF CONTENTS

DQR ID	Subject	Data Streams Affected
D040126.4	SGP/SWATS/E5 - Sensor failure	sgpswatsE5.00, sgpswatsE5.b1
D040505.4	SGP/SWATS/E24 - Incorrect Soil Moisture Data	sgpswatsE24.00, sgpswatsE24.b1
D040526.6	SGP/ECOR/E3 - Failed sensors	sgpecorE3.00, sgp30ecorE3.b1
D040603.3	SGP/SWATS/E3 - Incorrect Soil Moisture Data	sgpswatsE3.00, sgpswatsE3.b1
D040603.5	SGP/SWATS/E24 - Incorrect Soil Temp and Moisture Data	sgpswatsE24.00, sgpswatsE24.b1
D040617.2	SGP/ECOR/E1 - Sensors failure	sgpecorE1.00, sgp30ecorE1.b1
D040617.4	SGP/ECOR/E21 - Irretrievable data loss	sgpecorE21.00, sgp30ecorE21.b1
D040625.3	SGP/SWATS/E3 - Incorrect Soil Moisture Data	sgpswatsE3.00, sgpswatsE3.b1
D040707.1	SGP/ECOR/E6 - Sonic Sensor failure	sgpecorE6.00, sgp30ecorE6.b1
D040720.1	SGP/ECOR/E10 - Sensor failure	sgpecorE10.00, sgp30ecorE10.b1
D040804.1	SGP/ECOR/E3 - Failed IRGA	sgp30ecorE3.b1
D040826.1	SGP/ECOR/E24 - Reprocess: Sonic analog input failure	sgp30ecorE24.b1
D041202.1	SGP/ECOR/E6 - Reprocess: Incorrect wind direction	sgp30ecorE6.b1
D050215.6	SGP/SWATS/E5 - Missing Data from 1 Sensor	sgpswatsE5.00, sgpswatsE5.b1
D050222.1	SGP/ECOR/E6 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE6.b1
D050421.1	SGP/ECOR/E10 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE10.b1
D050421.2	SGP/ECOR/E16 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE16.b1
D050421.3	SGP/ECOR/E24 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data	sgp30ecorE24.b1
D050503.12	SGP/SWATS/E24 - Reprocess: Changed Depth Dimension	sgpswatsE24.b1
D050503.4	SGP/SWATS/E10 - Reprocess: Changed Depth Dimension	sgpswatsE10.b1
D050524.1	SGP/ECOR/E6 - Sonic sensor failure results in missing data	sgpecorE6.00, sgp30ecorE6.b1
D050524.3	SGP/ECOR/E6 - Sonic Sensor failure	sgp30ecorE6.b1
D060531.3	SGP/ECOR/E10 - Reprocess: Wind Direction Incorrect	sgp30ecorE10.b1

DQRID : D040126.4

Start Date	Start Time	End Date	End Time
06/26/2003	0400	07/25/2004	0129

Subject:	SGP/SWATS/E5 - Sensor failure
DataStreams:	sgpswatsE5.00, sgpswatsE5.b1
Description:	The temperature rise readings from the 25-cm depth on the east profile (trise_E) are incorrect. This also causes the matric potential (soilwatpot_E) and water content (watcont_E) data for the 25-cm depth to be incorrect.
Measurements:	sgpswatsE5.00: Raw data stream - documentation not supported(Raw data stream - documentation not supported) sgpswatsE5.b1: Soil Water Potential, East Profile(soilwatpot_E) Sensor Temperature Rise, East Profile(trise_E) Volumetric Water Content, East Profile(watcont_E)

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DQRID : D040505.4

Start Date	Start Time	End Date	End Time
04/30/2004	2200	05/13/2004	1900

Subject:	SGP/SWATS/E24 - Incorrect Soil Moisture Data
DataStreams:	sgpswatsE24.00, sgpswatsE24.b1
Description:	The temperature rise readings from both the west and east profiles (trise_W, trise_E) were incorrect at all depths. This also caused the matric potential (soilwatpot_W, soilwatpot_E) and water content (watcont_W, watcont_E) data to be incorrect.
Measurements:	sgpswatsE24.00: Raw data stream - documentation not supported(Raw data stream - documentation not supported) sgpswatsE24.b1: Volumetric Water Content, West Profile(watcont_W) Sensor Temperature Rise, West Profile(trise_W) Soil Water Potential, East Profile(soilwatpot_E) Sensor Temperature Rise, East Profile(trise_E) Soil Water Potential, West Profile(soilwatpot_W) Volumetric Water Content, East Profile(watcont_E)

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DQRID : D040526.6

Start Date	Start Time	End Date	End Time
05/25/2004	0300	06/16/2004	1730

Subject:	SGP/ECOR/E3 - Failed sensors
DataStreams:	sgpecorE3.00, sgp30ecorE3.b1
Description:	Data missing due to failed sonic anemometer and infrared gas analyzer. A new sonic was installed on June 16. All the data from May 25, 03:00 to June 16, 17:30 are irrevocably lost.
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) sgpecorE3.00: Raw data stream - documentation not supported(raw)

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DQRID : D040603.3

Start Date	Start Time	End Date	End Time
06/02/2004	1700	06/06/2004	1300

Subject:	SGP/SWATS/E3 - Incorrect Soil Moisture Data
DataStreams:	sgpswatsE3.00, sgpswatsE3.b1
Description:	The temperature rise readings from all depths on both the east and west profiles (trise_E, trise_W) are incorrect. This also causes the matric potential (soilwatpot_E, soilwatpot_W) and water content (watcont_E, watcont_W) data to be incorrect.
Measurements:	sgpswatsE3.00: Raw data stream - documentation not supported(Raw data stream - documentation not supported) sgpswatsE3.b1: Sensor Temperature Rise, East Profile(trise_E) Soil Water Potential, East Profile(soilwatpot_E) Volumetric Water Content, West Profile(watcont_W) Volumetric Water Content, East Profile(watcont_E) Sensor Temperature Rise, West Profile(trise_W) Soil Water Potential, West Profile(soilwatpot_W)

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DQRID : D040603.5

Start Date	Start Time	End Date	End Time
05/13/2004	1800	05/13/2004	1900

Subject:	SGP/SWATS/E24 - Incorrect Soil Temp and Moisture Data
DataStreams:	sgpswatsE24.00, sgpswatsE24.b1
Description:	The soil temperature and temperature rise readings from all depths on both the east and west profiles (tsoil_W, tsoil_E, trise_E, trise_W) were incorrect. This also caused the matric potential (soilwatpot_E, soilwatpot_W) and water content (watcont_E, watcont_W) data to be incorrect.
Measurements:	sgpswatsE24.00: Raw data stream - documentation not supported(Raw data stream - documentation not supported) sgpswatsE24.b1: Volumetric Water Content, West Profile(watcont_W) Sensor Temperature Rise, West Profile(trise_W) Soil Water Potential, East Profile(soilwatpot_E) Sensor Temperature Rise, East Profile(trise_E) Soil Temperature, West Profile(tsoil_W) Soil Water Potential, West Profile(soilwatpot_W) Soil Temperature, East Profile(tsoil_E) Volumetric Water Content, East Profile(watcont_E)

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DQRID : D040617.2

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

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

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DQRID : 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)

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DQRID : D040625.3

Start Date	Start Time	End Date	End Time
06/10/2004	2000	06/10/2004	2100

Subject:	SGP/SWATS/E3 - Incorrect Soil Moisture Data
DataStreams:	sgpswatsE3.00, sgpswatsE3.b1
Description:	The temperature rise readings from the 5-cm and 15-cm depths on the west profile (trise_W) spike down to 0 for 1 reading. This also causes the matric potential (soilwatpot_W) and water content (watcont_W) data for the 5-cm and 15-cm depths to be incorrect.
Measurements:	sgpswatsE3.00: Raw data stream - documentation not supported(Raw data stream - documentation not supported) sgpswatsE3.b1: Volumetric Water Content, West Profile(watcont_W) Sensor Temperature Rise, West Profile(trise_W) Soil Water Potential, West Profile(soilwatpot_W)

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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)

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DQRID : D040720.1

Start Date	Start Time	End Date	End Time
07/14/2004	0100	08/13/2004	1800

Subject:	SGP/ECOR/E10 - Sensor failure
DataStreams:	sgpecorE10.00, sgp30ecorE10.b1
Description:	Due to LI-7500 (H2O/CO2 infrared gas analyzer) sensor failure all humidity and CO2 data are incorrect for the period of Jul. 14, 2004 01:00 to Aug. 13, 2004 18:00.
Measurements:	sgpecorE10.00: Raw data stream - documentation not supported(raw) sgp30ecorE10.b1: rotated covariance vq(cvar_rot_vq) rotated covariance wc(cvar_rot_wc) skewness of variable c(skew_c) latent heat of vaporization(lv) covariance wc(cvar_wc) mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t) covariance vq(cvar_vq) specific heat of moist air(cp) covariance uc(cvar_uc) variance of variable c(var_c) rotated covariance vc(cvar_rot_vc) mean value of \spike\ v samples(mean_spk_v) kurtosis of variable q(kurt_q) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) mean value of \spike\ w samples(mean_spk_w) average atmospheric pressure (IGRA internal sensor)(atm_pres) rotated covariance uc(cvar_rot_uc) mean water vapor concentration (q)(mean_q) covariance vc(cvar_vc) rotated covariance wq(cvar_rot_wq) covariance of tc(cvar_tc) covariance uq(cvar_uq) average voltage of IRGA cooler(mean_cooler) rotated covariance uq(cvar_rot_uq) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) mixing ratio(mr) variance of variable q(var_q) latent heat flux(lv_e) covariance of tq(cvar_tq) Retrieved water vapor density profile(rho) skewness of variable q(skew_q) covariance of qc(cvar_qc) average temperature (IGRA internal sensor)(temp_irga) covariance wq(cvar_wq) kurtosis of variable c(kurt_c) mean value of \spike\ u samples(mean_spk_u) mean co2 concentration (c)(mean_c)

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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 : 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)

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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)

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DQRID : D050215.6

Start Date	Start Time	End Date	End Time
07/28/2004	1830	08/11/2004	1830

Subject:	SGP/SWATS/E5 - Missing Data from 1 Sensor
DataStreams:	sgpswatsE5.00, sgpswatsE5.b1
Description:	The sensor at the 35-cm depth on the east profile reported missing values for a couple of weeks.
Measurements:	sgpswatsE5.00: Raw data stream - documentation not supported(Raw data stream - documentation not supported) sgpswatsE5.b1: Soil Water Potential, East Profile(soilwatpot_E) Sensor Temperature Rise, East Profile(trise_E) Volumetric Water Content, East Profile(watcont_E) Soil Temperature, East Profile(tsoil_E)

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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)

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DQRID : D050421.1

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

Subject:	SGP/ECOR/E10 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data
DataStreams:	sgp30ecorE10.b1
Description:	Due to system clock instability on ECOR computers their system time is adjusted approximately once per hour; sometimes this adjustment leads to backward time jumps over midnight, into the previous day. In this case all the data based on CO2/H2O measurements might be erroneously marked as bad.
Measurements:	sgp30ecorE10.b1: rotated covariance vq(cvar_rot_vq) rotated covariance wc(cvar_rot_wc) skewness of variable c(skew_c) latent heat of vaporization(lv) covariance wc(cvar_wc) covariance vq(cvar_vq) CO2 flux(fc) specific heat of moist air(cp) number of q samples removed due to spikes(n_spk_q) covariance uc(cvar_uc) number of valid c samples(n_good_c) variance of variable c(var_c) rotated covariance vc(cvar_rot_vc) number of bad or out of range c samples(n_bad_c) 0=real or 1=dummy value of mr(real_mr) number of valid q samples(n_good_q) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) 0=real or 1=dummy value of rho(real_rho) number of c samples removed due to spikes(n_spk_c) rotated covariance uc(cvar_rot_uc) mean water vapor concentration (q)(mean_q) covariance vc(cvar_vc) rotated covariance wq(cvar_rot_wq) covariance of tc(cvar_tc) covariance uq(cvar_uq) 0=real or 1=dummy value of lv(real_lv) rotated covariance uq(cvar_rot_uq) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) mixing ratio(mr) variance of variable q(var_q) latent heat flux(lv_e) covariance of tq(cvar_tq) number of bad or out of range q samples(n_bad_q) skewness of variable q(skew_q) covariance of qc(cvar_qc) covariance wq(cvar_wq) 0=real or 1=dummy value of cp(real_cp) mean co2 concentration (c)(mean_c)

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DQRID : D050421.2

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

Subject:	SGP/ECOR/E16 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data
DataStreams:	sgp30ecorE16.b1
Description:	Due to system clock instability on ECOR computers their system time is adjusted approximately once per hour; sometimes this adjustment leads to backward time jumps over midnight, into the previous day. In this case all the data based on CO2/H2O measurements might be erroneously marked as bad. Below is a list of times when that might have happen. SITE YEAR MONTH DAY HOUR MINUTE 16 2004 02 23 00 00 16 2004 02 28 00 00 16 2004 03 01 00 00 16 2004 03 09 00 00 16 2004 03 15 00 00 16 2004 03 17 00 00 16 2004 03 22 00 00 16 2004 03 30 00 00 16 2004 04 02 00 00 16 2004 07 22 00 00 16 2004 08 06 00 00 16 2004 09 05 00 00 16 2004 09 20 00 00 16 2005 03 13 00 00
Measurements:	sgp30ecorE16.b1: latent heat flux(lv_e) covariance of qc(cvar_qc) rotated covariance vc(cvar_rot_vc) mixing ratio(mr) number of valid c samples(n_good_c) 0=real or 1=dummy value of lv(real_lv) specific heat of moist air(cp) covariance wq(cvar_wq) 0=real or 1=dummy value of rho(real_rho) skewness of variable c(skew_c) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) covariance uq(cvar_uq) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) number of q samples removed due to spikes(n_spk_q) mean co2 concentration (c)(mean_c) rotated covariance uc(cvar_rot_uc) mean water vapor concentration (q)(mean_q) variance of variable q(var_q) latent heat of vaporization(lv) number of bad or out of range q samples(n_bad_q) 0=real or 1=dummy value of mr(real_mr) covariance vq(cvar_vq) Retrieved water vapor density profile(rho) rotated covariance wc(cvar_rot_wc) covariance wc(cvar_wc) 0=real or 1=dummy value of cp(real_cp) skewness of variable q(skew_q) covariance of tq(cvar_tq) covariance uc(cvar_uc) variance of variable c(var_c) rotated covariance wq(cvar_rot_wq) covariance vc(cvar_vc) rotated covariance vq(cvar_rot_vq) number of valid q samples(n_good_q) CO2 flux(fc) covariance of tc(cvar_tc) number of bad or out of range c samples(n_bad_c) number of c samples removed due to spikes(n_spk_c)

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DQRID : D050421.3

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

Subject:	SGP/ECOR/E24 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data
DataStreams:	sgp30ecorE24.b1
Description:	Due to system clock instability on ECOR computers their system time is adjusted approximately once per hour; sometimes this adjustment leads to backward time jumps over midnight, into the previous day. In this case all the data based on CO2/H2O measurements might be erroneously marked as bad. Below is a list of times when that might have happen. SITE YEAR MONTH DAY HOUR MINUTE 24 2004 03 19 00 00 24 2004 03 20 00 00 24 2004 03 21 00 00 24 2004 03 23 00 00 24 2004 03 24 00 00 24 2004 03 25 00 00 24 2004 03 26 00 00 24 2004 03 27 00 00 24 2004 03 28 00 00 24 2004 03 29 00 00 24 2004 03 31 00 00 24 2004 04 01 00 00 24 2004 04 02 00 00 24 2004 04 03 00 00 24 2004 04 16 00 00 24 2004 04 17 00 00 24 2004 04 18 00 00 24 2004 04 22 00 00 24 2004 04 23 00 00 24 2004 04 30 00 00 24 2004 05 30 00 00 24 2004 05 31 00 00 24 2004 06 01 00 00 24 2004 06 02 00 00 24 2004 06 03 00 00 24 2004 06 05 00 00 24 2004 06 06 00 00 24 2004 06 07 00 00 24 2004 06 08 00 00 24 2004 06 12 00 00 24 2004 06 13 00 00 24 2004 06 14 00 00 24 2004 06 17 00 00 24 2004 06 18 00 00 24 2004 06 19 00 00 24 2004 06 20 00 00 24 2004 06 22 00 00 24 2004 06 23 00 00 24 2004 06 24 00 00 24 2004 06 25 00 00 24 2004 06 26 00 00 24 2004 06 27 00 00 24 2004 06 28 00 00 24 2004 06 29 00 00 24 2004 06 30 00 00 24 2004 07 01 00 00 24 2004 07 02 00 00 24 2004 07 05 00 00 24 2004 07 06 00 00 24 2004 07 07 00 00 24 2004 07 11 00 00 24 2004 07 12 00 00 24 2004 07 13 00 00 24 2004 07 14 00 00 24 2004 07 16 00 00 24 2004 07 17 00 00 24 2004 07 18 00 00 24 2004 07 19 00 00 24 2004 07 20 00 00 24 2004 07 21 00 00 24 2004 07 22 00 00 24 2004 07 25 00 00 24 2004 07 26 00 00 24 2004 07 27 00 00 24 2004 07 28 00 00 24 2004 07 29 00 00 24 2004 08 01 00 00 24 2004 08 02 00 00 24 2004 08 03 00 00 24 2004 08 05 00 00 24 2004 08 06 00 00 24 2004 08 07 00 00 24 2004 08 08 00 00 24 2004 08 09 00 00 24 2004 08 20 00 00 24 2004 08 21 00 00 24 2004 08 22 00 00 24 2004 08 25 00 00 24 2004 08 26 00 00 24 2004 08 27 00 00 24 2004 08 28 00 00 24 2004 08 29 00 00 24 2004 08 30 00 00 24 2004 08 31 00 00 24 2004 09 01 00 00 24 2004 09 04 00 00 24 2004 09 05 00 00 24 2004 09 06 00 00 24 2004 09 07 00 00 24 2004 09 08 00 00 24 2004 09 09 00 00 24 2004 09 10 00 00 24 2004 09 11 00 00 24 2004 09 13 00 00 24 2004 09 14 00 00 24 2004 09 17 00 00 24 2004 09 18 00 00 24 2004 09 19 00 00 24 2004 09 22 00 00 24 2004 09 23 00 00 24 2004 09 24 00 00 24 2004 09 25 00 00 24 2004 09 26 00 00 24 2004 09 27 00 00 24 2004 09 29 00 00 24 2004 09 30 00 00 24 2004 10 01 00 00 24 2004 10 02 00 00 24 2004 10 05 00 00 24 2004 10 06 00 00 24 2004 10 07 00 00 24 2004 12 11 00 00 24 2004 12 12 00 00 24 2004 12 13 00 00 24 2004 12 14 00 00 24 2004 12 15 00 00 24 2004 12 16 00 00 24 2004 12 17 00 00 24 2004 12 18 00 00 24 2004 12 19 00 00 24 2004 12 20 00 00 24 2004 12 21 00 00 24 2004 12 24 00 00 24 2004 12 26 00 00 24 2004 12 27 00 00 24 2004 12 28 00 00 24 2004 12 29 00 00 24 2004 12 31 00 00 24 2005 01 01 00 00 24 2005 01 02 00 00 24 2005 01 04 00 00 24 2005 01 07 00 00 24 2005 01 09 00 00 24 2005 01 10 00 00 24 2005 01 11 00 00 24 2005 01 15 00 00 24 2005 01 17 00 00 24 2005 01 18 00 00 24 2005 01 20 00 00 24 2005 01 22 00 00 24 2005 01 25 00 00 24 2005 01 27 00 00 24 2005 01 30 00 00 24 2005 02 03 00 00 24 2005 02 05 00 00 24 2005 02 06 00 00 24 2005 02 07 00 00 24 2005 02 10 00 00 24 2005 02 11 00 00 24 2005 02 12 00 00 24 2005 02 14 00 00 24 2005 02 17 00 00 24 2005 02 18 00 00 24 2005 02 19 00 00 24 2005 02 20 00 00 24 2005 02 21 00 00 24 2005 02 22 00 00 24 2005 02 23 00 00 24 2005 02 24 00 00 24 2005 02 25 00 00 24 2005 02 26 00 00 24 2005 02 28 00 00 24 2005 03 04 00 00 24 2005 03 05 00 00 24 2005 03 06 00 00 24 2005 03 07 00 00 24 2005 03 09 00 00 24 2005 03 11 00 00 24 2005 03 12 00 00 24 2005 03 13 00 00 24 2005 03 14 00 00 24 2005 03 15 00 00 24 2005 03 20 00 00 24 2005 03 21 00 00 24 2005 03 23 00 00 24 2005 03 24 00 00
Measurements:	sgp30ecorE24.b1: covariance uq(cvar_uq) covariance vc(cvar_vc) variance of variable c(var_c) covariance of qc(cvar_qc) rotated covariance wq(cvar_rot_wq) CO2 flux(fc) covariance wc(cvar_wc) covariance wq(cvar_wq) 0=real or 1=dummy value of mr(real_mr) 0=real or 1=dummy value of rho(real_rho) variance of variable q(var_q) latent heat flux(lv_e) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) kurtosis of variable c(kurt_c) covariance uc(cvar_uc) covariance of tc(cvar_tc) rotated covariance vc(cvar_rot_vc) rotated covariance uq(cvar_rot_uq) specific heat of moist air(cp) number of valid c samples(n_good_c) rotated covariance wc(cvar_rot_wc) mean co2 concentration (c)(mean_c) skewness of variable q(skew_q) mean water vapor concentration (q)(mean_q) number of c samples removed due to spikes(n_spk_c) number of bad or out of range c samples(n_bad_c) covariance vq(cvar_vq) rotated covariance vq(cvar_rot_vq) mixing ratio(mr) latent heat of vaporization(lv) rotated covariance uc(cvar_rot_uc) Retrieved water vapor density profile(rho) number of bad or out of range q samples(n_bad_q) 0=real or 1=dummy value of cp(real_cp) number of q samples removed due to spikes(n_spk_q) number of valid q samples(n_good_q) kurtosis of variable q(kurt_q) covariance of tq(cvar_tq) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) 0=real or 1=dummy value of lv(real_lv) skewness of variable c(skew_c)

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DQRID : D050503.12

Start Date	Start Time	End Date	End Time
08/28/1996	0000	04/19/2005	2359

Subject:	SGP/SWATS/E24 - Reprocess: Changed Depth Dimension
DataStreams:	sgpswatsE24.b1
Description:	The dimension "depth" in the netCDF files was incorrectly reported as 8, and has been changed. Newer files with the correct smaller depth dimension do not have extra placeholder values and thus are smaller in size.
Measurements:	sgpswatsE24.b1: Sensor Depth below surface(depth)

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DQRID : D050503.4

Start Date	Start Time	End Date	End Time
07/11/1996	0000	04/19/2005	2359

Subject:	SGP/SWATS/E10 - Reprocess: Changed Depth Dimension
DataStreams:	sgpswatsE10.b1
Description:	The dimension "depth" in the netCDF files was incorrectly reported as 8, and has been changed. Newer files with the correct smaller depth dimension do not have extra placeholder values and thus are smaller in size.
Measurements:	sgpswatsE10.b1: Sensor Depth below surface(depth)

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DQRID : D050524.1

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

Subject:	SGP/ECOR/E6 - Sonic sensor failure results in missing data
DataStreams:	sgpecorE6.00, sgp30ecorE6.b1
Description:	Data are missing due to a failed sonic sensor.
Measurements:	sgpecorE6.00: Raw data stream - documentation not supported(raw) sgp30ecorE6.b1: covariance vt(cvar_vt) momentum flux (dynamic)(k) average temperature (IGRA internal sensor)(temp_irga) rotated covariance wc(cvar_rot_wc) rotated covariance ut(cvar_rot_ut) Down-boom wind velocity (u)(mean_u) number of bad or out of range w samples(n_bad_w) number of valid c samples(n_good_c) mean value of \spike\ u samples(mean_spk_u) number of samples with IRGA optical path blocked flag(n_bad_irga_light) skewness of variable u(skew_u) skewness of variable t(skew_t) rotated covariance uq(cvar_rot_uq) number of valid t samples(n_good_t) standard deviation of wind direction(std_wind_dir) covariance of qc(cvar_qc) kurtosis of variable u(kurt_u) number of bad or out of range u samples(n_bad_u) number of valid v samples(n_good_v) average voltage of IRGA cooler(mean_cooler) mean w (vertical) wind component(mean_w) Time offset of tweaks from base_time(time_offset) covariance vc(cvar_vc) Retrieved water vapor density profile(rho) kurtosis of variable t(kurt_t) rotated covariance vw(cvar_rot_vw) rotated covariance uv(cvar_rot_uv) east longitude for all the input platforms.(lon) rotated mean v(mean_rot_v) kurtosis of variable w(kurt_w) number of valid q samples(n_good_q) number of c samples removed due to spikes(n_spk_c) rotated covariance vq(cvar_rot_vq) 0=real or 1=dummy value of lv(real_lv) mean sonic temperature (t), i.e. virtual temperature(mean_t) number of bad or out of range t samples(n_bad_t) mixing ratio(mr) rotated covariance vt(cvar_rot_vt) number of bad or out of range q samples(n_bad_q) covariance ut(cvar_ut) Cross-boom wind velocity (v)(mean_v) variance of variable w(var_w) mean water vapor concentration (q)(mean_q) 0=real or 1=dummy value of cp(real_cp) number of w samples removed due to spikes(n_spk_w) average atmospheric pressure (IGRA internal sensor)(atm_pres) rotated covariance wq(cvar_rot_wq) mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t) skewness of variable q(skew_q) covariance uq(cvar_uq) skewness of variable c(skew_c) Vertical angle of wind(phi) north latitude for all the input platforms.(lat) covariance of tc(cvar_tc) variance of variable v(var_v) Time offset from midnight of date of file. For CO data, this is identical to time_offset and is included for compatibility.(time) covariance uc(cvar_uc) altitude above sea levelaltunits(alt) rotated variance v(var_rot_v) rotated covariance uw(cvar_rot_uw) rotated variance u(var_rot_u) vw covariance(cvar_vw) number of u samples removed due to spikes(n_spk_u) covariance wc(cvar_wc) rotated covariance uc(cvar_rot_uc) covariance uv(cvar_uv) vector averaged wind speed(wind_spd) kurtosis of variable q(kurt_q) rotated variance w(var_rot_w) number of samples with bad sonic status flag(n_bad_son_ic) variance of variable q(var_q) vertical (elevation) wind angle(elev) number of samples with \IRGA hardware problem\ flag(n_bad_irga) number of q samples removed due to spikes(n_spk_q) specific heat of moist air(cp) mean horizontal wind speed(mean_rot_u) variance of variable t(var_t) vector averaged wind direction(wind_dir) kurtosis of variable v(kurt_v) uw covariance(cvar_uw) corrected sensible heat flux(h) number of valid w samples(n_good_w) 0=real or 1=dummy value of rho(real_rho) mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q) skewness of variable v(skew_v) covariance wq(cvar_wq) latent heat of vaporization(lv) rotated mean w(mean_rot_w) number of bad or out of range v samples(n_bad_v) number of valid u samples(n_good_u) rotated covariance wt(cvar_rot_wt) covariance of tq(cvar_tq) number of v samples removed due to spikes(n_spk_v) skewness of variable w(skew_w) Time offset from base_time(base_time) variance of variable c(var_c) standard deviation of wind elevation angle(std_elev) rotated covariance vc(cvar_rot_vc) friction velocity(ustar) kurtosis of variable c(kurt_c) number of t samples removed due to spikes(n_spk_t) latent heat flux(lv_e) 0=real or 1=dummy value of mr(real_mr) mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c) mean value of \spike\ v samples(mean_spk_v) wT covariance(cvar_wt) mean value of \spike\ w samples(mean_spk_w) variance of variable u(var_u) covariance vq(cvar_vq) CO2 flux(fc) mean co2 concentration (c)(mean_c) number of bad or out of range c samples(n_bad_c)

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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)

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DQRID : D060531.3

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

Subject:	SGP/ECOR/E10 - Reprocess: Wind Direction Incorrect
DataStreams:	sgp30ecorE10.b1
Description:	It was discovered that the E10 ECOR boom is aligned 17 degrees to the west of true north. Therefore, all wind direction data for the stated period is 17 degrees too high. Subtract 17 degrees from the wind direction to give the correct direction. The E10 configuration file was modified to correct this problem.
Measurements:	sgp30ecorE10.b1: vector averaged wind direction(wind_dir)

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