SGP/ECOR/E21 - Intermittent incorrect flux measurements

At various times during the period, the LI-7500 CO2/H2O serial and analog signals from the 
LI-7500 were missing, but usually not at the same time.

When the CO2/H2O serial datastream was missing, the Pressure and Temperature were missing; 
this did not, in itself, result in incorrect fluxes, as default values for pressure and 
temperature are automatically used.

Fluxes were incorrect when the CO2/H2O analog datastream was missing; these
times are identified by the qc checks.

• latent heat flux(lv_e)
• CO2 flux(fc)
• covariance wq(cvar_wq)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• covariance wc(cvar_wc)
• average temperature (IGRA internal sensor)(temp_irga)

SGP/ECOR/E5 - Flux Data Incorrect

CO2 flux (lv_e) and latent heat flux (fc) were incorrect because the sonic anemometer was 
not working.

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

SGP/CO2FLX/C1 - Disturbance around site

A bulldozer used to excavate the SGP Tower anchors was right around (within 10 feet) our 
systems.

• WPL corrected CO2 flux(fc_corr)
• mean co2 concentration (c)(mean_c)

• WPL corrected CO2 flux(fc_corr)
• mean co2 concentration (c)(mean_c)

• mean co2 concentration (c)(mean_c)
• WPL corrected CO2 flux(fc_corr)

• WPL corrected CO2 flux(fc_corr)
• mean co2 concentration (c)(mean_c)

SGP/CO2FLX/C1 - Farm operation

Soil temperature, soil moisture, soil heat flux and upwelling surface radiation (long, 
short, and PAR) measurements were not valid from 20070822 to 20070907 due to farm operations.

• standard error of mean_t_soil_lower note maximum of two values used in
  calculation(stderr_mean_t_soil_lower)
• average of four upper soil moisture sensors(mean_m_soil_upper)
• standard error of mean_m_soil_lower(stderr_mean_m_soil_lower)
• upwelling shortwave hemispheric irradiance t_rad corrected(r_up_short_hemisp)
• standard error of mean_m_soil_upper(stderr_mean_m_soil_upper)
• standard error of mean_t_soil_middle note maximum of two values used in
  calculation(stderr_mean_t_soil_middle)
• average of two lower soil temperature sensors(mean_t_soil_lower)
• average of up to four soil heat flux sensors(mean_g_soil)
• standard error of mean_t_soil_upper note maximum of two values used in
  calculation(stderr_mean_t_soil_upper)
• photosynthetic photon flux density (PAR)(ppfd_up)
• average of four lower soil moisture sensors(mean_m_soil_lower)
• upwelling longwave hemispheric irradiance t_rad corrected(r_up_long_hemisp)
• average of two upper soil temperature sensors(mean_t_soil_upper)
• standard error of mean_g_soil(stderr_mean_g_soil)
• average of two middle soil temperature sensors(mean_t_soil_middle)

SGP/CO2FLX/C1 - Reprocess: 4m instruments height

The height of the 4m instruments is 4.8 m and not 4.65 m as shown in b1 datastream

• height of instument from tower base(zm)

SGP/ECOR/E24 - Water Vapor Density Incorrect

Mean Water Vapor Density (mean_q) often did not trend well with the co-located SMOS and 
sometimes jumped downwards approximately 200 to 300 mmol/m^3.  Some of the instances were 
clearly a result of contamination by precipitation, but others were not; the latent heat 
flux was sometimes affected.

It was determined that all instances of this behavior from the beginning of 2008 through 
the beginning date of this DQR were caused by precipitation/dew/frost.

• latent heat flux(lv_e)
• Water vapor density (q)(mean_q)

SGP/ECOR/E24 - Half Hours of Data Missing

Individual half hours of data were missing infrequently because of a UPS
problem.  The extent of missing data is minimal, with only a few to several half hours 
missing most months.

Data quality of the surrounding data times was not affected.

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

SGP/ECOR/E14 - Sensor failure

The water vapor output of the LI-7500 was too low, indicating that water vapor leaked into 
the sensor and that the chemicals are spent or there was an electronic failure.

Latent heat flux was not normally affected by this problem.

• Water vapor density (q)(mean_q)

SGP/ECOR/E21 - Reprocess: 5 hour time offset

The system clock was mistakenly set to DST instead of GMT.  All times are 5 hours behind.

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

SGP/ECOR/E5 - Incorrect Sensible and Latent Heat Fluxes

Starting at approximately 4:00 GMT on 02/16, the ECOR suffered from the "garbled" data 
condition, a result of a serial communication failure. 

All sensible and latent heat flux measurements are incorrect during this condition.

• covariance wq(cvar_wq)
• rotated covariance wt(cvar_rot_wt)
• rotated covariance wq(cvar_rot_wq)
• latent heat flux(lv_e)
• h(h)
• wT covariance(cvar_wt)