Data Quality Reports for Session: 103453 User: kahler Completed: 12/30/2006


TABLE OF CONTENTS

DQR IDSubjectData Streams Affected
D030917.20SGP/SWATS/E13/E18/E2 - Missing data due to Ice storm and clock problemssgpswatsE2.00, sgpswatsE2.a1, sgpswatsE2.b1, sgpswatsE13.00, sgpswatsE13.a1,
sgpswatsE13.b1, sgpswatsE18.00, sgpswatsE18.a1, sgpswatsE18.b1, sgpswatspcpE2.a1, sgpswatspcpE18.a1
D041012.3SGP/ECOR/E14 - Data loss due to hardware failure.sgpecorE14.00, sgp30ecorE14.b1
D050503.8SGP/SWATS/E13 - Reprocess: Changed Depth DimensionsgpswatsE13.b1
D051031.3SGP/ECOR/E14 - CO2/H2O Incorrectsgp30ecorE14.b1
D051216.2SGP/ECOR/E14 - CO2/H2O Fluxes Incorrect All Times, All Measurements Incorrect Sometimessgp30ecorE14.b1
D060213.1SGP/ECOR/E14 - ECOR Flux Data Incorrectsgp30ecorE14.b1
D060612.2SGP/ECOR/E14 - Corrupt raw ECOR datasgp30ecorE14.b1
D060818.4SGP/ECOR/E14 - Flux Measurements Incorrectsgp30ecorE14.b1


DQRID : D030917.20
Start DateStart TimeEnd DateEnd Time
03/09/2002190003/11/20022200
03/13/2002160003/14/20021700
Subject:
SGP/SWATS/E13/E18/E2 - Missing data due to Ice storm and clock problems
DataStreams:sgpswatsE2.00, sgpswatsE2.a1, sgpswatsE2.b1, sgpswatsE13.00, sgpswatsE13.a1,
sgpswatsE13.b1, sgpswatsE18.00, sgpswatsE18.a1, sgpswatsE18.b1, sgpswatspcpE2.a1, sgpswatspcpE18.a1
Description:
Data are missing due to power failures caused by an ice storm
and resulting system/instrument clock problems.
Measurements:sgpswatsE2.b1:
  • East profile sensor serial numbers(serial_numbers_E)
  • Reference Thermistor Temperature(tref)
  • Time offset of tweaks from base_time(time_offset)
  • Soil Temperature, East Profile(tsoil_E)
  • Soil Temperature, West Profile(tsoil_W)
  • Sensor Temperature Rise, West Profile(trise_W)
  • north latitude for all the input platforms.(lat)
  • Volumetric Water Content, East Profile(watcont_E)
  • east longitude for all the input platforms.(lon)
  • Sensor Temperature Rise, East Profile(trise_E)
  • West profile sensor serial numbers(serial_numbers_W)
  • altitude above sea levelaltunits(alt)
  • Time offset from base_time(base_time)
  • Soil Water Potential, East Profile(soilwatpot_E)
  • Soil Water Potential, West Profile(soilwatpot_W)
  • Volumetric Water Content, West Profile(watcont_W)
  • Sensor Depth below surface(depth)

sgpswatsE13.b1:
  • Reference Thermistor Temperature(tref)
  • Soil Water Potential, West Profile(soilwatpot_W)
  • east longitude for all the input platforms.(lon)
  • Sensor Depth below surface(depth)
  • Time offset from base_time(base_time)
  • altitude above sea levelaltunits(alt)
  • West profile sensor serial numbers(serial_numbers_W)
  • Sensor Temperature Rise, East Profile(trise_E)
  • Sensor Temperature Rise, West Profile(trise_W)
  • Volumetric Water Content, East Profile(watcont_E)
  • Soil Temperature, West Profile(tsoil_W)
  • Time offset of tweaks from base_time(time_offset)
  • East profile sensor serial numbers(serial_numbers_E)
  • north latitude for all the input platforms.(lat)
  • Soil Water Potential, East Profile(soilwatpot_E)
  • Soil Temperature, East Profile(tsoil_E)
  • Volumetric Water Content, West Profile(watcont_W)

sgpswatspcpE2.a1:
  • north latitude for all the input platforms.(lat)
  • Time offset from base_time(base_time)
  • east longitude for all the input platforms.(lon)
  • altitude above sea levelaltunits(alt)
  • Time offset of tweaks from base_time(time_offset)
  • precipitation accumulated between outputs, 3-hr accumulation(precip)

sgpswatsE18.00:
  • Raw data stream - documentation not supported(Raw data stream - documentation not supported)

sgpswatsE18.a1:
  • Volumetric Water Content, East Profile(watcont_E)
  • Time offset from base_time(base_time)
  • Sensor Temperature Rise, East Profile(trise_E)
  • north latitude for all the input platforms.(lat)
  • Soil Water Potential, West Profile(soilwatpot_W)
  • east longitude for all the input platforms.(lon)
  • Soil Temperature, East Profile(tsoil_E)
  • West profile sensor serial numbers(serial_numbers_W)
  • altitude above sea levelaltunits(alt)
  • East profile sensor serial numbers(serial_numbers_E)
  • Sensor Temperature Rise, West Profile(trise_W)
  • Volumetric Water Content, West Profile(watcont_W)
  • Sensor Depth below surface(depth)
  • Soil Water Potential, East Profile(soilwatpot_E)
  • Soil Temperature, West Profile(tsoil_W)
  • Time offset of tweaks from base_time(time_offset)
  • Reference Thermistor Temperature(tref)

sgpswatsE2.a1:
  • Sensor Depth below surface(depth)
  • Soil Temperature, West Profile(tsoil_W)
  • Soil Water Potential, East Profile(soilwatpot_E)
  • east longitude for all the input platforms.(lon)
  • West profile sensor serial numbers(serial_numbers_W)
  • Time offset from base_time(base_time)
  • Volumetric Water Content, East Profile(watcont_E)
  • Soil Temperature, East Profile(tsoil_E)
  • Sensor Temperature Rise, East Profile(trise_E)
  • Sensor Temperature Rise, West Profile(trise_W)
  • Volumetric Water Content, West Profile(watcont_W)
  • Reference Thermistor Temperature(tref)
  • Time offset of tweaks from base_time(time_offset)
  • East profile sensor serial numbers(serial_numbers_E)
  • Soil Water Potential, West Profile(soilwatpot_W)
  • north latitude for all the input platforms.(lat)
  • altitude above sea levelaltunits(alt)

sgpswatsE2.00:
  • Raw data stream - documentation not supported(Raw data stream - documentation not supported)

sgpswatsE13.a1:
  • Reference Thermistor Temperature(tref)
  • altitude above sea levelaltunits(alt)
  • Soil Water Potential, East Profile(soilwatpot_E)
  • Time offset from base_time(base_time)
  • Soil Water Potential, West Profile(soilwatpot_W)
  • Sensor Temperature Rise, West Profile(trise_W)
  • Volumetric Water Content, East Profile(watcont_E)
  • north latitude for all the input platforms.(lat)
  • Soil Temperature, East Profile(tsoil_E)
  • East profile sensor serial numbers(serial_numbers_E)
  • Time offset of tweaks from base_time(time_offset)
  • Sensor Temperature Rise, East Profile(trise_E)
  • Sensor Depth below surface(depth)
  • West profile sensor serial numbers(serial_numbers_W)
  • Soil Temperature, West Profile(tsoil_W)
  • east longitude for all the input platforms.(lon)
  • Volumetric Water Content, West Profile(watcont_W)

sgpswatsE18.b1:
  • Soil Temperature, East Profile(tsoil_E)
  • altitude above sea levelaltunits(alt)
  • Soil Water Potential, West Profile(soilwatpot_W)
  • Sensor Depth below surface(depth)
  • north latitude for all the input platforms.(lat)
  • Volumetric Water Content, West Profile(watcont_W)
  • West profile sensor serial numbers(serial_numbers_W)
  • Time offset from base_time(base_time)
  • Sensor Temperature Rise, West Profile(trise_W)
  • Soil Water Potential, East Profile(soilwatpot_E)
  • Reference Thermistor Temperature(tref)
  • Volumetric Water Content, East Profile(watcont_E)
  • Time offset of tweaks from base_time(time_offset)
  • east longitude for all the input platforms.(lon)
  • East profile sensor serial numbers(serial_numbers_E)
  • Sensor Temperature Rise, East Profile(trise_E)
  • Soil Temperature, West Profile(tsoil_W)

sgpswatsE13.00:
  • Raw data stream - documentation not supported(Raw data stream - documentation not supported)

sgpswatspcpE18.a1:
  • altitude above sea levelaltunits(alt)
  • Time offset of tweaks from base_time(time_offset)
  • precipitation accumulated between outputs, 3-hr accumulation(precip)
  • east longitude for all the input platforms.(lon)
  • Time offset from base_time(base_time)
  • north latitude for all the input platforms.(lat)


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DQRID : D041012.3
Start DateStart TimeEnd DateEnd Time
10/12/2004150010/13/20042100
Subject:
SGP/ECOR/E14 - Data loss due to hardware failure.
DataStreams:sgpecorE14.00, sgp30ecorE14.b1
Description:
No data from the ECOR system from 15:00 Oct. 12, 2004 to 21:00 Oct. 13, 2004; all the data 
is lost due to hardware failure.
Measurements:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • north latitude for all the input platforms.(lat)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • Time offset from base_time(base_time)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • 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)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • rotated covariance uw(cvar_rot_uw)
  • covariance ut(cvar_ut)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • 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 bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • 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)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • altitude above sea levelaltunits(alt)
  • variance of variable q(var_q)
  • Time offset of tweaks from base_time(time_offset)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • mean water vapor concentration (q)(mean_q)
  • kurtosis of variable c(kurt_c)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • east longitude for all the input platforms.(lon)
  • rotated covariance ut(cvar_rot_ut)
  • variance of variable t(var_t)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • vertical (elevation) wind angle(elev)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)

sgpecorE14.00:
  • Raw data stream - documentation not supported(raw)


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DQRID : D050503.8
Start DateStart TimeEnd DateEnd Time
02/05/1996000004/19/20052359
Subject:
SGP/SWATS/E13 - Reprocess: Changed Depth Dimension
DataStreams:sgpswatsE13.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:sgpswatsE13.b1:
  • Sensor Depth below surface(depth)


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DQRID : D051031.3
Start DateStart TimeEnd DateEnd Time
08/25/2005000008/29/20050230
Subject:
SGP/ECOR/E14 - CO2/H2O Incorrect
DataStreams:sgp30ecorE14.b1
Description:
The LI-7500 CO2/H2O sensor stopped working after a rainstorm.  CO2 and H2O data are 
incorrect during the stated period.
Measurements:sgp30ecorE14.b1:
  • skewness of variable q(skew_q)
  • rotated covariance uq(cvar_rot_uq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • covariance of qc(cvar_qc)
  • number of c samples removed due to spikes(n_spk_c)
  • rotated covariance wq(cvar_rot_wq)
  • covariance uq(cvar_uq)
  • rotated covariance uc(cvar_rot_uc)
  • number of valid q samples(n_good_q)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • number of bad or out of range c samples(n_bad_c)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • variance of variable q(var_q)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • variance of variable c(var_c)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • mean water vapor concentration (q)(mean_q)
  • kurtosis of variable c(kurt_c)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • covariance wq(cvar_wq)
  • number of valid c samples(n_good_c)
  • skewness of variable c(skew_c)
  • latent heat flux(lv_e)
  • mean co2 concentration (c)(mean_c)
  • CO2 flux(fc)
  • rotated covariance vq(cvar_rot_vq)
  • covariance wc(cvar_wc)
  • number of bad or out of range q samples(n_bad_q)
  • kurtosis of variable q(kurt_q)
  • covariance vq(cvar_vq)


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DQRID : D051216.2
Start DateStart TimeEnd DateEnd Time
11/04/2005133011/17/20051630
12/01/2005193012/13/20051630
Subject:
SGP/ECOR/E14 - CO2/H2O Fluxes Incorrect All Times, All Measurements Incorrect Sometimes
DataStreams:sgp30ecorE14.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:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • north latitude for all the input platforms.(lat)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • Time offset from base_time(base_time)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • 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)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • rotated covariance uw(cvar_rot_uw)
  • covariance ut(cvar_ut)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • 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 bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • 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)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • altitude above sea levelaltunits(alt)
  • variance of variable q(var_q)
  • Time offset of tweaks from base_time(time_offset)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • mean water vapor concentration (q)(mean_q)
  • kurtosis of variable c(kurt_c)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • east longitude for all the input platforms.(lon)
  • rotated covariance ut(cvar_rot_ut)
  • variance of variable t(var_t)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • vertical (elevation) wind angle(elev)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)


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DQRID : D060213.1
Start DateStart TimeEnd DateEnd Time
01/24/2006150002/13/20061930
Subject:
SGP/ECOR/E14 - ECOR Flux Data Incorrect
DataStreams:sgp30ecorE14.b1
Description:
Latent and sensible heat fluxes and CO2 flux data was incorrect as the sonic anemometer
data stream was garbled.
Measurements:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • 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)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • covariance ut(cvar_ut)
  • rotated covariance uw(cvar_rot_uw)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • number of bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • 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)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • variance of variable q(var_q)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • kurtosis of variable c(kurt_c)
  • mean water vapor concentration (q)(mean_q)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • variance of variable t(var_t)
  • rotated covariance ut(cvar_rot_ut)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)


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DQRID : D060612.2
Start DateStart TimeEnd DateEnd Time
05/05/2006210006/13/20061400
Subject:
SGP/ECOR/E14 - Corrupt raw ECOR data
DataStreams:sgp30ecorE14.b1
Description:
Latent heat flux and CO2 flux were missing and frequent missing data for most variables 
due to garbling of data by the ECOR program.
Measurements:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • 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)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • covariance ut(cvar_ut)
  • rotated covariance uw(cvar_rot_uw)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • number of bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • 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)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • variance of variable q(var_q)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • kurtosis of variable c(kurt_c)
  • mean water vapor concentration (q)(mean_q)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • variance of variable t(var_t)
  • rotated covariance ut(cvar_rot_ut)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • vertical (elevation) wind angle(elev)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)


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DQRID : D060818.4
Start DateStart TimeEnd DateEnd Time
07/07/2006193007/14/20061500
Subject:
SGP/ECOR/E14 - Flux Measurements Incorrect
DataStreams:sgp30ecorE14.b1
Description:
The ECOR datastream was corrupted; this happens when the ECOR program produces a 
datastream of the wrong length (i.e., leaves one or measurements out).

Fluxes and some other measurements are incorrect.

Note: Mentor reports reprocessing will not correct this problem.
Measurements:sgp30ecorE14.b1:
  • 0=real or 1=dummy value of rho(real_rho)
  • vw covariance(cvar_vw)
  • north latitude for all the input platforms.(lat)
  • skewness of variable v(skew_v)
  • number of bad or out of range u samples(n_bad_u)
  • 0=real or 1=dummy value of lv(real_lv)
  • average temperature (IGRA internal sensor)(temp_irga)
  • rotated covariance vc(cvar_rot_vc)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • corrected sensible heat flux(h)
  • number of w samples removed due to spikes(n_spk_w)
  • Down-boom wind velocity (u)(mean_u)
  • mixing ratio(mr)
  • wT covariance(cvar_wt)
  • 0=real or 1=dummy value of mr(real_mr)
  • covariance wq(cvar_wq)
  • Vertical angle of wind(phi)
  • rotated variance u(var_rot_u)
  • latent heat flux(lv_e)
  • number of bad or out of range q samples(n_bad_q)
  • number of v samples removed due to spikes(n_spk_v)
  • specific heat of moist air(cp)
  • standard deviation of wind direction(std_wind_dir)
  • covariance vq(cvar_vq)
  • number of valid w samples(n_good_w)
  • number of t samples removed due to spikes(n_spk_t)
  • skewness of variable q(skew_q)
  • friction velocity(ustar)
  • covariance uv(cvar_uv)
  • covariance of qc(cvar_qc)
  • rotated covariance wq(cvar_rot_wq)
  • Time offset from base_time(base_time)
  • covariance uq(cvar_uq)
  • number of valid v samples(n_good_v)
  • standard deviation of wind elevation angle(std_elev)
  • rotated covariance uc(cvar_rot_uc)
  • 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)
  • variance of variable c(var_c)
  • uw covariance(cvar_uw)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uc(cvar_uc)
  • rotated covariance uv(cvar_rot_uv)
  • number of bad or out of range w samples(n_bad_w)
  • average atmospheric pressure (IGRA internal sensor)(atm_pres)
  • number of valid c samples(n_good_c)
  • number of bad or out of range v samples(n_bad_v)
  • CO2 flux(fc)
  • number of valid u samples(n_good_u)
  • covariance wc(cvar_wc)
  • rotated variance w(var_rot_w)
  • Retrieved water vapor density profile(rho)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • rotated covariance uw(cvar_rot_uw)
  • covariance ut(cvar_ut)
  • mean w (vertical) wind component(mean_w)
  • rotated variance v(var_rot_v)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uq(cvar_rot_uq)
  • number of c samples removed due to spikes(n_spk_c)
  • Cross-boom wind velocity (v)(mean_v)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • rotated mean w(mean_rot_w)
  • kurtosis of variable t(kurt_t)
  • kurtosis of variable u(kurt_u)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • kurtosis of variable v(kurt_v)
  • rotated covariance vw(cvar_rot_vw)
  • covariance of tc(cvar_tc)
  • covariance vc(cvar_vc)
  • skewness of variable w(skew_w)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean co2 concentration (c)(mean_c)
  • rotated covariance vq(cvar_rot_vq)
  • kurtosis of variable w(kurt_w)
  • 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 bad or out of range t samples(n_bad_t)
  • momentum flux (dynamic)(k)
  • mean value of \spike\ w samples(mean_spk_w)
  • number of valid t samples(n_good_t)
  • rotated mean v(mean_rot_v)
  • number of u samples removed due to spikes(n_spk_u)
  • 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)
  • vector averaged wind speed(wind_spd)
  • average voltage of IRGA cooler(mean_cooler)
  • altitude above sea levelaltunits(alt)
  • variance of variable q(var_q)
  • Time offset of tweaks from base_time(time_offset)
  • skewness of variable t(skew_t)
  • variance of variable w(var_w)
  • skewness of variable u(skew_u)
  • mean horizontal wind speed(mean_rot_u)
  • covariance of tq(cvar_tq)
  • number of q samples removed due to spikes(n_spk_q)
  • mean water vapor concentration (q)(mean_q)
  • kurtosis of variable c(kurt_c)
  • variance of variable v(var_v)
  • mean value of \spike\ u samples(mean_spk_u)
  • east longitude for all the input platforms.(lon)
  • rotated covariance ut(cvar_rot_ut)
  • variance of variable t(var_t)
  • skewness of variable c(skew_c)
  • latent heat of vaporization(lv)
  • variance of variable u(var_u)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • rotated covariance vt(cvar_rot_vt)
  • vertical (elevation) wind angle(elev)
  • kurtosis of variable q(kurt_q)
  • covariance vt(cvar_vt)
  • mean value of \spike\ v samples(mean_spk_v)


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