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)
• covaraince wq(cvar_wq)
• atm_pres
• covariance wc(cvar_wc)
• 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.

• covariance wc(cvar_wc)
• covaraince wq(cvar_wq)
• variance of variable q(var_q)
• rotated covariance wq(cvar_rot_wq)
• Mean H2O density(mean_q)
• variance of variable c(var_c)
• rotated covariance wc(cvar_rot_wc)
• CO2 flux(fc)
• Mean CO2 density(mean_c)
• Latent heat flux(lv_e)

SGP/ECOR/E5 - 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.

Note: Mentor reports reprocessing will not correct this problem.

• CO2 flux(fc)
• Latent heat flux(lv_e)
• Corrected sensible heat flux(h)

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.

• n_bad_son_ic
• mean_rot_w
• covaraince vc(cvar_vc)
• mean_rot_v
• rho
• covariance uw(cvar_uw)
• covariance uv(cvar_uv)
• covariance uq(cvar_uq)
• covariance ut(cvar_ut)
• kurt_c
• covariance uc(cvar_uc)
• CO2 flux(fc)
• covariance tq(cvar_tq)
• phi
• alt
• rotated covariance ut(cvar_rot_ut)
• variance of variable c(var_c)
• covariance tc(cvar_tc)
• rotated covariance uq(cvar_rot_uq)
• wind_spd
• rotated covariance uv(cvar_rot_uv)
• rotated covariance uw(cvar_rot_uw)
• elev
• rotated covariance uc(cvar_rot_uc)
• wind_dir
• 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)
• variance of variable t(var_t)
• rotated covariance vw(cvar_rot_vw)
• variance of variable u(var_u)
• variance of variable q(var_q)
• rotated covariance vc(cvar_rot_vc)
• standard deviation of wind direction(std_wind_dir)
• Corrected sensible heat flux(h)
• Momentum flux (dynamic)(k)
• n_good_w
• n_good_v
• base_time
• n_good_u
• covariance qc(cvar_qc)
• atm_pres
• n_good_t
• n_good_q
• n_spk_v
• n_spk_w
• n_spk_t
• n_spk_u
• Water vapor mixing ratio observed by the Raman lidar(mr)
• n_spk_q
• real_lv
• n_bad_irga_light
• n_bad_t
• n_bad_irga
• n_bad_v
• n_bad_u
• rotated variance w(var_rot_w)
• rotated variance v(var_rot_v)
• rotated variance u(var_rot_u)
• lon
• n_bad_q
• n_spk_c
• time_offset
• rotated covariance wc(cvar_rot_wc)
• n_bad_c
• real_mr
• rotated covariance wt(cvar_rot_wt)
• rotated covariance wq(cvar_rot_wq)
• Pressure, condensation, at altitude, RUC model output(cp)
• mean_v
• mean_w
• mean_cooler
• Mean sonic temperature (t), i.e. virtual temperature(mean_t)
• covariance vq(cvar_vq)
• mean_u
• covariance vt(cvar_vt)
• standard deviation of wind elevation angle(std_elev)
• Mean H2O density(mean_q)
• covariance vw(cvar_vw)
• skew_c
• n_bad_w
• covariance wc(cvar_wc)
• kurt_q
• mean_spk_c
• skew_w
• skew_v
• n_good_c
• skew_u
• kurt_u
• skew_t
• kurt_v
• time
• real_rho
• temp_irga
• kurt_t
• skew_q
• covaraince wq(cvar_wq)
• covariance wt(cvar_wt)
• mean_spk_t
• mean_spk_v
• mean_spk_u
• Mean horizontal wind speed(mean_rot_u)
• mean_spk_q
• Mean CO2 density(mean_c)
• kurt_w
• real_cp
• friction velocity(ustar)
• mean_spk_w
• lv