SGP/ECOR/E16 - Data suspect due to inability to run QC

Some QC checks were unsuccessful due to a communication failure that resulted in 
contaminated QC field data.

All the data that are based on water vapor density and CO2 concentration are "suspect" 
because many of the standard QC checks were not employed.

• number of samples with \IRGA hardware problem\ flag(n_bad_irga)
• latent heat flux(lv_e)
• covariance of qc(cvar_qc)
• kurtosis of variable c(kurt_c)
• rotated covariance uq(cvar_rot_uq)
• 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)
• average voltage of IRGA cooler(mean_cooler)
• skewness of variable q(skew_q)
• covariance of tq(cvar_tq)
• covariance uc(cvar_uc)
• number of samples with IRGA optical path blocked flag(n_bad_irga_light)
• variance of variable c(var_c)
• rotated covariance wq(cvar_rot_wq)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• covariance vc(cvar_vc)
• rotated covariance vq(cvar_rot_vq)
• average temperature (IGRA internal sensor)(temp_irga)
• number of valid q samples(n_good_q)
• number of c samples removed due to spikes(n_spk_c)
• kurtosis of variable q(kurt_q)
• CO2 flux(fc)
• covariance of tc(cvar_tc)
• number of bad or out of range c samples(n_bad_c)

• Raw data stream - documentation not supported(Raw data stream - documentation not supported)

SGP/ECOR/E16 - No water vapor density and CO2 concentration data due to sensor failure.

The infrared gas analyzer (IRGA) failed on Nov. 2, 2004, 02:00; the system continued to 
operate without H2O and CO2 data until Nov. 9, 2004, 15:30; then it stopped due to another 
hardware failure. The system was returned in service on Nov. 12, 2004, 18:00.

The latent heat flux and CO2 flux data are irrevocably lost for the period from Nov. 2, 
2004, 02:00 to Nov. 12, 2004, 18:00.

• number of samples with \IRGA hardware problem\ flag(n_bad_irga)
• latent heat flux(lv_e)
• covariance of qc(cvar_qc)
• kurtosis of variable c(kurt_c)
• rotated covariance uq(cvar_rot_uq)
• 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)
• average voltage of IRGA cooler(mean_cooler)
• skewness of variable q(skew_q)
• covariance of tq(cvar_tq)
• covariance uc(cvar_uc)
• number of samples with IRGA optical path blocked flag(n_bad_irga_light)
• variance of variable c(var_c)
• rotated covariance wq(cvar_rot_wq)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• covariance vc(cvar_vc)
• rotated covariance vq(cvar_rot_vq)
• average temperature (IGRA internal sensor)(temp_irga)
• number of valid q samples(n_good_q)
• number of c samples removed due to spikes(n_spk_c)
• kurtosis of variable q(kurt_q)
• CO2 flux(fc)
• covariance of tc(cvar_tc)
• number of bad or out of range c samples(n_bad_c)

• Raw data stream - documentation not supported(Raw data stream - documentation not supported)

SGP/ECOR/E16 - No data due to hardware problem

The system did not work due to hardware problems from Nov. 9, 2004, 15:30 to 
Nov. 12, 2004, 18:00; all the data is  irrevocably lost.

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

• Raw data stream - documentation not supported(Raw data stream - documentation not supported)

SGP/ECOR/E16  - 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
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

• 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)

SGP/ECOR/E16 - Data Missing

The data was missing during the stated period.

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

SGP/ECOR/E16 - Sonic serial communication errors caused incorrect fluxes

Communication problem on the serial connection to the SONIC 
              caused data dropouts and subsequent data corruption.  In entering 
              the ECOR Linux box through the sonic serial port, the serial port 
              or the Linux driver handling it (likely the latter) sometimes 
              drops entire fields (one or more) within a line of raw sonic 
              data.  When that happens, the ECOR programming can not properly 
              parse the data (if it's not there to parse) and so the flux and 
              mean measurements come out as garbage in the 30 minute ECOR data 
              that is collected for ingest.

• latent heat flux(lv_e)
• corrected sensible heat flux(h)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• mean co2 concentration (c)(mean_c)
• average temperature (IGRA internal sensor)(temp_irga)
• mean water vapor concentration (q)(mean_q)
• CO2 flux(fc)

SGP/ECOR/E16  - Data Missing

Data is missing because of the failure of the LINUX box data acquisition system.

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

SGP/ECOR/E16 - LI-7500 Pressure and Temperature missing

The pressure and temperature measurements were not recorded; the LI-7500 serial datastream 
was not being captured by the ECOR system because of a serial port failure.

Some degradation of the latent and sensible heat fluxes may have occurred during high 
summer temperatures.  The error in the fluxes would be no more than 5 to 10% of the 
measurement, still well within the measurement error of the system.

• latent heat of vaporization(lv)
• latent heat flux(lv_e)
• corrected sensible heat flux(h)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• Retrieved water vapor density profile(rho)
• average temperature (IGRA internal sensor)(temp_irga)
• specific heat of moist air(cp)

SGP/ECOR/E16 - Latent Heat and CO2 Fluxes Incorrect

The LI-7500 CO2/H2O water vapor sensor was removed during this period.

• latent heat flux(lv_e)
• covariance of qc(cvar_qc)
• kurtosis of variable c(kurt_c)
• rotated covariance uq(cvar_rot_uq)
• rotated covariance vc(cvar_rot_vc)
• number of valid c samples(n_good_c)
• 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)
• number of bad or out of range q samples(n_bad_q)
• 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)
• kurtosis of variable q(kurt_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)

SGP/ECOR/E16 - Missing Data

The ECOR data was missing during the stated period.

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