SGP/ECOR/E10 - Timestamp problems and intermittent data gaps

The raw files produced by the instrument contained bad (uncorrectable) data.  Specifically 
the date of the data in the file is given a time that is ahead of the actual time the 
data was genertaed.  This was caught because the date in the file was ahead of the system 
time of the server processing the raw file.  The mentor indicated all such files were 
compeltely bad and unrecoverable so all files that failed to be ingested were not shipped to 
the archive, thus producing holes in the raw and processed datastreams.  Because the 
problem was discovered by comparing to system time at time of processing all files between 
these dates should be consider suspect.  Therefore the files that are on the system over 
these three days should be used cautiously

• Raw data stream - documentation not supported(raw)

• kurtosis of variable v(kurt_v)
• covariance vq(cvar_vq)
• condensation pressure(cp)
• vector averaged wind speed(wind_spd)
• variance of variable v(var_v)
• base time(base_time)
• standard deviation of wind elevation angle(std_elev)
• rotated covariance ut(cvar_rot_ut)
• variance of variable w(var_w)
• kurtosis of variable q(kurt_q)
• Friction velocity(ustar)
• number of valid t samples(n_good_t)
• h(h)
• number of u samples removed due to spikes(n_spk_u)
• mean value of \spike\ w samples(mean_spk_w)
• Water vapor density (q)(mean_q)
• rotated covariance wt(cvar_rot_wt)
• rotated mean w(mean_rot_w)
• kurtosis of variable w(kurt_w)
• vw covariance(cvar_vw)
• skewness of variable v(skew_v)
• 0=real or 1=dummy value of lv(real_lv)
• Down-boom wind velocity (u)(mean_u)
• latent heat flux(lv_e)
• Retrieved water vapor density profile(rho)
• Virtual temperature (T)(mean_t)
• covariance wq(cvar_wq)
• number of t samples removed due to spikes(n_spk_t)
• rotated covariance vq(cvar_rot_vq)
• rotated covariance wc(cvar_rot_wc)
• Dummy altitude for Zeb(alt)
• number of samples with bad sonic status flag(n_bad_son_ic)
• vertical (elevation) wind angle(elev)
• number of q samples removed due to spikes(n_spk_q)
• covariance uc(cvar_uc)
• number of valid c samples(n_good_c)
• Cross-boom wind velocity (v)(mean_v)
• kurtosis of variable t(kurt_t)
• number of valid w samples(n_good_w)
• rotated covariance uw(cvar_rot_uw)
• 0=real or 1=dummy value of mr(real_mr)
• number of valid u samples(n_good_u)
• rotated covariance vt(cvar_rot_vt)
• rotated covariance uc(cvar_rot_uc)
• rotated covariance uv(cvar_rot_uv)
• number of valid v samples(n_good_v)
• rotated covariance vw(cvar_rot_vw)
• covariance of tc(cvar_tc)
• variance of variable u(var_u)
• wT covariance(cvar_wt)
• covariance vt(cvar_vt)
• 0=real or 1=dummy value of cp(real_cp)
• number of bad or out of range v samples(n_bad_v)
• skewness of variable c(skew_c)
• latent heat of vaporization(lv)
• covariance wc(cvar_wc)
• CO2 flux(fc)
• variance of t(var_t)
• number of bad or out of range u samples(n_bad_u)
• Time offset of tweaks from base_time(time_offset)
• skewness of variable t(skew_t)
• rotated mean v(mean_rot_v)
• number of v samples removed due to spikes(n_spk_v)
• vector averaged wind direction(wind_dir)
• Vertical angle of wind(phi)
• time(time)
• mean value of \spike\ v samples(mean_spk_v)
• lon(lon)
• number of bad or out of range c samples(n_bad_c)
• number of w samples removed due to spikes(n_spk_w)
• number of valid q samples(n_good_q)
• number of c samples removed due to spikes(n_spk_c)
• 0=real or 1=dummy value of rho(real_rho)
• mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
• Vertical wind velocity (w)(mean_w)
• variance of w(var_rot_w)
• covariance vc(cvar_vc)
• covariance uq(cvar_uq)
• rotated covariance uq(cvar_rot_uq)
• mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
• covariance of tq(cvar_tq)
• number of bad or out of range q samples(n_bad_q)
• skewness of variable q(skew_q)
• kurtosis of variable u(kurt_u)
• covariance of qc(cvar_qc)
• average temperature (IGRA internal sensor)(temp_irga)
• variance of v(var_rot_v)
• mean value of \spike\ u samples(mean_spk_u)
• mean co2 concentration (c)(mean_c)
• covariance uv(cvar_uv)
• mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
• number of samples with IRGA optical path blocked flag(n_bad_irga_light)
• number of bad or out of range t samples(n_bad_t)
• mean horizontal wind speed(mean_rot_u)
• variance of c(var_c)
• rotated covariance vc(cvar_rot_vc)
• skewness of variable u(skew_u)
• uw covariance(cvar_uw)
• covariance ut(cvar_ut)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• lat(lat)
• skewness of variable w(skew_w)
• rotated covariance wq(cvar_rot_wq)
• momentum flux (dynamic)(k)
• standard deviation of wind direction(std_wind_dir)
• average voltage of IRGA cooler(mean_cooler)
• mixing ratio(mr)
• variance of u(var_rot_u)
• variance of q(var_q)
• number of bad or out of range w samples(n_bad_w)
• kurtosis of variable c(kurt_c)
• number of samples with \IRGA hardware problem\ flag(n_bad_irga)

SGP/ECOR/E6 - Sonic Sensor failure

Due to sonic sensor failure, humidity, CO2 concentration, latent heat flux, and CO2 flux 
data are incorrect.

• Raw data stream - documentation not supported(raw)

• 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(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 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)
• condensation pressure(cp)
• covariance of qc(cvar_qc)
• h(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 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)
• Water vapor density (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)

SGP/ECOR/E10 - Sensor failure

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.

• Raw data stream - documentation not supported(raw)

• 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)
• condensation pressure(cp)
• covariance uc(cvar_uc)
• variance of 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)
• Water vapor density (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 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)

SGP/ECOR/E10 - Sensor failure

Due to sensor failure all the parameters measured by the Infrared Gas Analyzer (water 
vapor density, CO2 concentration, fluxes of latent heat and CO2, etc.) are incorrect for the 
period of 18:30 Oct. 22, 2004 to 22:00 Dec. 14, 2004. The data is irrevocably lost.

• Raw data stream - documentation not supported(raw)

• rotated covariance vq(cvar_rot_vq)
• rotated covariance wc(cvar_rot_wc)
• skewness of variable c(skew_c)
• covariance wc(cvar_wc)
• covariance vq(cvar_vq)
• number of samples with bad sonic status flag(n_bad_son_ic)
• CO2 flux(fc)
• number of q samples removed due to spikes(n_spk_q)
• condensation pressure(cp)
• number of samples with IRGA optical path blocked flag(n_bad_irga_light)
• covariance uc(cvar_uc)
• number of valid c samples(n_good_c)
• variance of c(var_c)
• rotated covariance vc(cvar_rot_vc)
• kurtosis of variable q(kurt_q)
• number of bad or out of range c samples(n_bad_c)
• 0=real or 1=dummy value of mr(real_mr)
• number of valid q samples(n_good_q)
• mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
• 0=real or 1=dummy value of rho(real_rho)
• number of c samples removed due to spikes(n_spk_c)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• rotated covariance uc(cvar_rot_uc)
• Water vapor density (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)
• 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 q(var_q)
• latent heat flux(lv_e)
• covariance of tq(cvar_tq)
• number of bad or out of range q samples(n_bad_q)
• Retrieved water vapor density profile(rho)
• skewness of variable q(skew_q)
• average temperature (IGRA internal sensor)(temp_irga)
• covariance of qc(cvar_qc)
• covariance wq(cvar_wq)
• 0=real or 1=dummy value of cp(real_cp)
• number of samples with \IRGA hardware problem\ flag(n_bad_irga)
• kurtosis of variable c(kurt_c)
• mean co2 concentration (c)(mean_c)

SGP/ECOR/E6 - Reprocess: Incorrect wind direction

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.

• vector averaged wind direction(wind_dir)

SGP/ECOR/E6  - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data

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

• 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 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 q(var_q)
• Water vapor density (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)

SGP/ECOR/E10 - Reprocess: Incorrect H2O, CO2

Due to failure of analog output circuitry in the Infrared Gas Analyzer (IRGA), CO2 and 
water vapor parameters measured by the IRGA (water vapor density, CO2 concentration, fluxes 
of latent heat and CO2) were incorrectly recorded in sonic raw data files for the period 
of 22:30 Dec. 14, 2004 to 22:00 Jan. 11, 2005. The data could be recovered from IRGA raw 
serial files (00 level).

• Raw data stream - documentation not supported(raw)

• rotated covariance vq(cvar_rot_vq)
• rotated covariance wc(cvar_rot_wc)
• latent heat of vaporization(lv)
• skewness of variable c(skew_c)
• covariance wc(cvar_wc)
• covariance vq(cvar_vq)
• CO2 flux(fc)
• number of q samples removed due to spikes(n_spk_q)
• condensation pressure(cp)
• covariance uc(cvar_uc)
• number of valid c samples(n_good_c)
• variance of c(var_c)
• rotated covariance vc(cvar_rot_vc)
• kurtosis of variable q(kurt_q)
• number of bad or out of range c samples(n_bad_c)
• 0=real or 1=dummy value of mr(real_mr)
• number of valid q samples(n_good_q)
• mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
• 0=real or 1=dummy value of rho(real_rho)
• number of c samples removed due to spikes(n_spk_c)
• rotated covariance uc(cvar_rot_uc)
• Water vapor density (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 q(var_q)
• latent heat flux(lv_e)
• covariance of tq(cvar_tq)
• number of bad or out of range q samples(n_bad_q)
• Retrieved water vapor density profile(rho)
• skewness of variable q(skew_q)
• covariance of qc(cvar_qc)
• covariance wq(cvar_wq)
• 0=real or 1=dummy value of cp(real_cp)
• number of samples with \IRGA hardware problem\ flag(n_bad_irga)
• kurtosis of variable c(kurt_c)
• mean co2 concentration (c)(mean_c)

SGP/ECOR/E10 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data

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.

• 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)
• condensation pressure(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 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)
• Water vapor density (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 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)

SGP/ECOR/E6 - Missing data

Data are missing and unrecoverable.

• 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)
• Vertical wind velocity (w)(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)
• lon(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)
• Virtual temperature (T)(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)
• Water vapor density (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)
• lat(lat)
• covariance of tc(cvar_tc)
• variance of variable v(var_v)
• time(time)
• covariance uc(cvar_uc)
• Dummy altitude for Zeb(alt)
• variance of v(var_rot_v)
• rotated covariance uw(cvar_rot_uw)
• variance of 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)
• variance of w(var_rot_w)
• number of samples with bad sonic status flag(n_bad_son_ic)
• variance of 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)
• condensation pressure(cp)
• mean horizontal wind speed(mean_rot_u)
• variance of t(var_t)
• vector averaged wind direction(wind_dir)
• kurtosis of variable v(kurt_v)
• uw covariance(cvar_uw)
• h(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)
• base time(base_time)
• variance of 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)

SGP/ECOR/E6 - Sonic Sensor failure

Due to sonic sensor failure, wind, temperature and sensible heat flux data are suspect.

• covariance vt(cvar_vt)
• Vertical angle of wind(phi)
• variance of variable v(var_v)
• rotated covariance ut(cvar_rot_ut)
• variance of 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)
• variance of 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)
• variance of 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 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)
• Vertical wind velocity (w)(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)
• Virtual temperature (T)(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)

SGP/ECOR/E6 - Reprocess: Time Was 7 Hours Slow

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.

• time(time)

SGP/ECOR/E10 - Missing data

Data are missing and unrecoverable.

• kurtosis of variable v(kurt_v)
• covariance vq(cvar_vq)
• condensation pressure(cp)
• vector averaged wind speed(wind_spd)
• variance of variable v(var_v)
• base time(base_time)
• standard deviation of wind elevation angle(std_elev)
• rotated covariance ut(cvar_rot_ut)
• variance of variable w(var_w)
• kurtosis of variable q(kurt_q)
• Friction velocity(ustar)
• number of valid t samples(n_good_t)
• h(h)
• number of u samples removed due to spikes(n_spk_u)
• mean value of \spike\ w samples(mean_spk_w)
• Water vapor density (q)(mean_q)
• rotated covariance wt(cvar_rot_wt)
• rotated mean w(mean_rot_w)
• kurtosis of variable w(kurt_w)
• vw covariance(cvar_vw)
• skewness of variable v(skew_v)
• 0=real or 1=dummy value of lv(real_lv)
• Down-boom wind velocity (u)(mean_u)
• latent heat flux(lv_e)
• Retrieved water vapor density profile(rho)
• Virtual temperature (T)(mean_t)
• covariance wq(cvar_wq)
• number of t samples removed due to spikes(n_spk_t)
• rotated covariance vq(cvar_rot_vq)
• rotated covariance wc(cvar_rot_wc)
• Dummy altitude for Zeb(alt)
• number of samples with bad sonic status flag(n_bad_son_ic)
• vertical (elevation) wind angle(elev)
• number of q samples removed due to spikes(n_spk_q)
• covariance uc(cvar_uc)
• number of valid c samples(n_good_c)
• Cross-boom wind velocity (v)(mean_v)
• kurtosis of variable t(kurt_t)
• number of valid w samples(n_good_w)
• rotated covariance uw(cvar_rot_uw)
• 0=real or 1=dummy value of mr(real_mr)
• number of valid u samples(n_good_u)
• rotated covariance vt(cvar_rot_vt)
• rotated covariance uc(cvar_rot_uc)
• rotated covariance uv(cvar_rot_uv)
• number of valid v samples(n_good_v)
• rotated covariance vw(cvar_rot_vw)
• covariance of tc(cvar_tc)
• variance of variable u(var_u)
• wT covariance(cvar_wt)
• covariance vt(cvar_vt)
• 0=real or 1=dummy value of cp(real_cp)
• number of bad or out of range v samples(n_bad_v)
• skewness of variable c(skew_c)
• latent heat of vaporization(lv)
• covariance wc(cvar_wc)
• CO2 flux(fc)
• variance of t(var_t)
• number of bad or out of range u samples(n_bad_u)
• Time offset of tweaks from base_time(time_offset)
• skewness of variable t(skew_t)
• rotated mean v(mean_rot_v)
• number of v samples removed due to spikes(n_spk_v)
• vector averaged wind direction(wind_dir)
• Vertical angle of wind(phi)
• time(time)
• mean value of \spike\ v samples(mean_spk_v)
• lon(lon)
• number of bad or out of range c samples(n_bad_c)
• number of w samples removed due to spikes(n_spk_w)
• number of valid q samples(n_good_q)
• number of c samples removed due to spikes(n_spk_c)
• 0=real or 1=dummy value of rho(real_rho)
• mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
• Vertical wind velocity (w)(mean_w)
• variance of w(var_rot_w)
• covariance vc(cvar_vc)
• covariance uq(cvar_uq)
• rotated covariance uq(cvar_rot_uq)
• mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
• covariance of tq(cvar_tq)
• number of bad or out of range q samples(n_bad_q)
• skewness of variable q(skew_q)
• kurtosis of variable u(kurt_u)
• covariance of qc(cvar_qc)
• average temperature (IGRA internal sensor)(temp_irga)
• variance of v(var_rot_v)
• mean value of \spike\ u samples(mean_spk_u)
• mean co2 concentration (c)(mean_c)
• covariance uv(cvar_uv)
• mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
• number of samples with IRGA optical path blocked flag(n_bad_irga_light)
• number of bad or out of range t samples(n_bad_t)
• mean horizontal wind speed(mean_rot_u)
• variance of c(var_c)
• rotated covariance vc(cvar_rot_vc)
• skewness of variable u(skew_u)
• uw covariance(cvar_uw)
• covariance ut(cvar_ut)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• lat(lat)
• skewness of variable w(skew_w)
• rotated covariance wq(cvar_rot_wq)
• momentum flux (dynamic)(k)
• standard deviation of wind direction(std_wind_dir)
• average voltage of IRGA cooler(mean_cooler)
• mixing ratio(mr)
• variance of u(var_rot_u)
• variance of q(var_q)
• number of bad or out of range w samples(n_bad_w)
• kurtosis of variable c(kurt_c)
• number of samples with \IRGA hardware problem\ flag(n_bad_irga)

SGP/ECOR/E6 - CO2 and H2O Fluxes and Means Incorrect

The CO2 and H2O (lv_e) fluxes and means were incorrect during the period because the 
LI-7500 was not working.

• 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 q(var_q)
• covariance of tc(cvar_tc)
• Water vapor density (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 c(var_c)

SGP/ECOR/E10 - Reprocess: Wind Direction Incorrect

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.

• vector averaged wind direction(wind_dir)

SGP/ECOR/E10 - LI-7500 Pressure and Temperature missing

The LI-7500 pressure and temperature were not recorded;
the serial datastream was not being captured by the ECOR.

• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• average temperature (IGRA internal sensor)(temp_irga)

SGP/ECOR/E10 - CO2 and Latent Heat Fluxes Incorrect

The CO2 and latent heat fluxes were incorrect because the sonic anemometer was not working 
properly.

• rotated covariance wc(cvar_rot_wc)
• covariance wc(cvar_wc)
• variance of c(var_c)
• variance of q(var_q)
• latent heat flux(lv_e)
• CO2 flux(fc)
• Water vapor density (q)(mean_q)
• covariance wq(cvar_wq)
• rotated covariance wq(cvar_rot_wq)
• mean co2 concentration (c)(mean_c)

SGP/ECOR/E10 - Incorrect CO2 fluxes

The analog CO2 signal from the LI-7500 to the sonic anemometer became very noisy and 
incorrect CO2 fluxes resulted. Sonic anemometer was replaced.

• CO2 flux(fc)