Measurements: | sgp30ecorE37.b1: - covariance wq(cvar_wq)
- covariance wt(cvar_wt)
- number of samples with IRGA optical path blocked flag(n_bad_irga_light)
- Kurtosis of variable mean_t(kurt_t)
- kurtosis of variable q(kurt_q)
- kurtosis of variable w(kurt_w)
- kurtosis of variable u(kurt_u)
- Time offset from base_time(time_offset)
- kurtosis of variable v(kurt_v)
- average voltage of IRGA cooler(mean_cooler)
- mean water vapor concentration (q)(mean_q)
- Number of bad or out of range c samples(n_bad_c)
- momentum flux (dynamic)(k)
- Cross-boom wind velocity (v)(mean_v)
- Vertical wind velocity (w)(mean_w)
- Standard deviation of wind elevation angle(std_elev)
- mean sonic temperature (t), i.e. virtual temperature(mean_t)
- Down-boom wind velocity (u)(mean_u)
- corrected sensible heat flux(h)
- rotated covariance uc(cvar_rot_uc)
- number of bad or out of range v samples(n_bad_v)
- Atmospheric pressure(atm_pres)
- number of bad or out of range u samples(n_bad_u)
- number of bad or out of range w samples(n_bad_w)
- Number of bad or out of range q samples(n_bad_q)
- Number of bad or out of range t samples(n_bad_t)
- Rotated covariance ut(cvar_rot_ut)
- rotated covariance uv(cvar_rot_uv)
- rotated covariance uw(cvar_rot_uw)
- kurtosis of variable c(kurt_c)
- rotation to zero v(phi)
- Rotated covariance uq(cvar_rot_uq)
- variance of c(var_c)
- Covariance qc(cvar_qc)
- mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
- friction velocity(ustar)
- number of valid c samples(n_good_c)
- -180.0 - +180.0(alt)
- Status of source for latent heat of vaporization(real_lv)
- skewness of variable c(skew_c)
- number of valid q samples(n_good_q)
- covariance uq(cvar_uq)
- Covariance uv(cvar_uv)
- covariance uw(cvar_uw)
- covariance ut(cvar_ut)
- North Latitude(lat)
- Mean value of "spike" t samples(mean_spk_t)
- Number of valid w samples(n_good_w)
- mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
- number of valid t samples(n_good_t)
- Number of valid u samples(n_good_u)
- number of valid v samples(n_good_v)
- covariance vc(cvar_vc)
- 0=real or 1=dummy value of cp(real_cp)
- mean value of \spike\ w samples(mean_spk_w)
- Mean value of "spike" v samples(mean_spk_v)
- Mean value of "spike" u samples(mean_spk_u)
- Covariance vt(cvar_vt)
- Covariance vq(cvar_vq)
- Covariance vw(cvar_vw)
- Rotated mean u(mean_rot_u)
- Average temperature (IGRA internal sensor)(temp_irga)
- 0=real or 1=dummy value of rho(real_rho)
- rotated mean w(mean_rot_w)
- specific heat of moist air(cp)
- rotated mean v(mean_rot_v)
- Covariance wc(cvar_wc)
- Latent heat of vaporization(lv)
- number of samples with bad sonic status flag(n_bad_son_ic)
- Covariance tc(cvar_tc)
- vertical (elevation) wind angle(elev)
- number of t samples removed due to spikes(n_spk_t)
- rotated variance w(var_rot_w)
- variance of v(var_rot_v)
- Number of u samples removed due to spikes(n_spk_u)
- Status of source for mixing ratio(real_mr)
- number of v samples removed due to spikes(n_spk_v)
- Vector averaged wind speed(wind_spd)
- number of w samples removed due to spikes(n_spk_w)
- Number of q samples removed due to spikes(n_spk_q)
- skewness of variable w(skew_w)
- covariance of tq(cvar_tq)
- Rotated variance u(var_rot_u)
- Water vapor mixing ratio observed by the Raman lidar(mr)
- moist air density(rho)
- skewness of variable u(skew_u)
- vector averaged wind direction(wind_dir)
- Covariance uc(cvar_uc)
- Skewness of variable mean_v(skew_v)
- skewness of variable t(skew_t)
- skewness of variable q(skew_q)
- latent heat flux(lv_e)
- Standard deviation of wind direction(std_wind_dir)
- CO2 flux(fc)
- variance of q(var_q)
- variance of t(var_t)
- Rotated covariance vc(cvar_rot_vc)
- number of samples with \IRGA hardware problem\ flag(n_bad_irga)
- variance of variable u(var_u)
- Variance of variable mean_v(var_v)
- variance of variable w(var_w)
- mean co2 concentration (c)(mean_c)
- Number of c samples removed due to spikes(n_spk_c)
- rotated covariance vw(cvar_rot_vw)
- rotated covariance vq(cvar_rot_vq)
- Rotated covariance vt(cvar_rot_vt)
- lon(lon)
- rotated covariance wq(cvar_rot_wq)
- time_in_seconds_since_volume_start(time)
- base time in epoch(base_time)
- Rotated covariance wc(cvar_rot_wc)
- rotated covariance wt(cvar_rot_wt)
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