SGP/ECOR/E21 - Missing data

Data are missing and unrecoverable.

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

SGP/ECOR/E1 - ECOR Pressure and Temperature Missing

The pressure and temperature from the CO2/H2O sensor is missing due to a failure of some 
kind.

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

SGP/ECOR/E3 - CO2/H2O Sensor Not Working

The CO2/H2O sensor failed.  Means and fluxes of CO2 and H2O (lv_e) are incorrect or 
missing.

• variance of q(var_q)
• covariance vq(cvar_vq)
• covariance uc(cvar_uc)
• covariance uq(cvar_uq)
• rotated covariance uq(cvar_rot_uq)
• covariance vc(cvar_vc)
• rotated covariance vc(cvar_rot_vc)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• latent heat flux(lv_e)
• mean co2 concentration (c)(mean_c)
• CO2 flux(fc)
• rotated covariance uc(cvar_rot_uc)
• covariance wc(cvar_wc)
• variance of c(var_c)
• covariance of tq(cvar_tq)
• Water vapor density (q)(mean_q)
• rotated covariance wq(cvar_rot_wq)
• average temperature (IGRA internal sensor)(temp_irga)
• covariance wq(cvar_wq)
• covariance of qc(cvar_qc)
• rotated covariance wc(cvar_rot_wc)
• covariance of tc(cvar_tc)
• rotated covariance vq(cvar_rot_vq)

SGP/ECOR/E14 - Flux Measurements Incorrect

The ECOR datastream was corrupted; this happens when the ECOR program produces a 
datastream of the wrong length (i.e., leaves one or more measurements out).

Fluxes and some other measurements are incorrect.

Reprocessing will not correct this problem; the raw data are corrupted.

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

SGP/ECOR/E16 - Flux Measurements Incorrect

The ECOR datastream was corrupted; this happens when the ECOR program produces a 
datastream of the wrong length (i.e., leaves one or more measurements out).

Fluxes and some other measurements are incorrect.

Reprocessing will not correct this problem; the raw data are corrupted.

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

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)