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

Do not use ecor data produced over this period.

• (Raw data stream - documentation not supported)

• Covariance uc(cvar_uc)
• specific heat of moist air(cp)
• covariance uq(cvar_uq)
• covariance ut(cvar_ut)
• Covariance uv(cvar_uv)
• covariance uw(cvar_uw)
• vector averaged wind direction(wind_dir)
• skewness of variable q(skew_q)
• Skewness of variable mean_v(skew_v)
• skewness of variable w(skew_w)
• skewness of variable t(skew_t)
• skewness of variable u(skew_u)
• covariance vc(cvar_vc)
• Covariance tc(cvar_tc)
• Number of bad or out of range c samples(n_bad_c)
• number of samples with bad sonic status flag(n_bad_son_ic)
• -180.0 - +180.0(alt)
• covariance of tq(cvar_tq)
• Number of bad or out of range q samples(n_bad_q)
• Vector averaged wind speed(wind_spd)
• momentum flux (dynamic)(k)
• variance of variable u(var_u)
• Variance of variable mean_v(var_v)
• variance of variable w(var_w)
• variance of q(var_q)
• variance of t(var_t)
• corrected sensible heat flux(h)
• number of valid c samples(n_good_c)
• Number of bad or out of range t samples(n_bad_t)
• number of bad or out of range u samples(n_bad_u)
• number of bad or out of range v samples(n_bad_v)
• Time offset from base_time(time_offset)
• number of bad or out of range w samples(n_bad_w)
• base time in epoch(base_time)
• kurtosis of variable v(kurt_v)
• kurtosis of variable w(kurt_w)
• Kurtosis of variable mean_t(kurt_t)
• kurtosis of variable u(kurt_u)
• variance of c(var_c)
• kurtosis of variable q(kurt_q)
• time_in_seconds_since_volume_start(time)
• North Latitude(lat)
• Atmospheric pressure(atm_pres)
• rotation to zero v(phi)
• kurtosis of variable c(kurt_c)
• Standard deviation of wind elevation angle(std_elev)
• rotated covariance wt(cvar_rot_wt)
• 0=real or 1=dummy value of rho(real_rho)
• rotated covariance wq(cvar_rot_wq)
• latent heat flux(lv_e)
• friction velocity(ustar)
• Vertical wind velocity (w)(mean_w)
• number of samples with \IRGA hardware problem\ flag(n_bad_irga)
• number of valid q samples(n_good_q)
• Down-boom wind velocity (u)(mean_u)
• Cross-boom wind velocity (v)(mean_v)
• Number of valid w samples(n_good_w)
• mean sonic temperature (t), i.e. virtual temperature(mean_t)
• Rotated covariance wc(cvar_rot_wc)
• number of valid v samples(n_good_v)
• mean water vapor concentration (q)(mean_q)
• Number of valid u samples(n_good_u)
• number of valid t samples(n_good_t)
• rotated covariance vw(cvar_rot_vw)
• Rotated covariance vt(cvar_rot_vt)
• Covariance qc(cvar_qc)
• variance of v(var_rot_v)
• mean co2 concentration (c)(mean_c)
• Rotated variance u(var_rot_u)
• rotated covariance vq(cvar_rot_vq)
• lon(lon)
• rotated variance w(var_rot_w)
• Average temperature (IGRA internal sensor)(temp_irga)
• Number of c samples removed due to spikes(n_spk_c)
• Rotated covariance vc(cvar_rot_vc)
• 0=real or 1=dummy value of cp(real_cp)
• rotated covariance uv(cvar_rot_uv)
• Rotated covariance ut(cvar_rot_ut)
• Number of q samples removed due to spikes(n_spk_q)
• Status of source for mixing ratio(real_mr)
• vertical (elevation) wind angle(elev)
• rotated covariance uw(cvar_rot_uw)
• rotated mean v(mean_rot_v)
• Number of u samples removed due to spikes(n_spk_u)
• number of v samples removed due to spikes(n_spk_v)
• Rotated mean u(mean_rot_u)
• number of samples with IRGA optical path blocked flag(n_bad_irga_light)
• rotated mean w(mean_rot_w)
• number of t samples removed due to spikes(n_spk_t)
• Rotated covariance uq(cvar_rot_uq)
• number of w samples removed due to spikes(n_spk_w)
• rotated covariance uc(cvar_rot_uc)
• CO2 flux(fc)
• Standard deviation of wind direction(std_wind_dir)
• Status of source for latent heat of vaporization(real_lv)
• covariance wq(cvar_wq)
• covariance wt(cvar_wt)
• Water vapor mixing ratio observed by the Raman lidar(mr)
• Latent heat of vaporization(lv)
• mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
• skewness of variable c(skew_c)
• 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)
• Covariance vq(cvar_vq)
• Mean value of "spike" v samples(mean_spk_v)
• Covariance vt(cvar_vt)
• mean value of \spike\ w samples(mean_spk_w)
• Covariance vw(cvar_vw)
• Mean value of "spike" t samples(mean_spk_t)
• Mean value of "spike" u samples(mean_spk_u)
• moist air density(rho)
• Covariance wc(cvar_wc)