SBS/ECOR/M1 - Missing data

Data are missing and unrecoverable.

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