SGP/ECOR/E6 - Sonic Sensor failure

Due to sonic sensor failure, wind, temperature and sensible heat flux data are suspect.

Use data with caution

• rotated mean v(mean_rot_v)
• rotated mean w(mean_rot_w)
• Rotated mean u(mean_rot_u)
• Standard deviation of wind direction(std_wind_dir)
• number of valid t samples(n_good_t)
• Number of valid u samples(n_good_u)
• number of valid v samples(n_good_v)
• Number of valid w samples(n_good_w)
• Covariance uv(cvar_uv)
• covariance uw(cvar_uw)
• covariance ut(cvar_ut)
• Kurtosis of variable mean_t(kurt_t)
• Mean value of "spike" t samples(mean_spk_t)
• Standard deviation of wind elevation angle(std_elev)
• Mean value of "spike" u samples(mean_spk_u)
• kurtosis of variable v(kurt_v)
• kurtosis of variable u(kurt_u)
• Mean value of "spike" v samples(mean_spk_v)
• mean value of \spike\ w samples(mean_spk_w)
• kurtosis of variable w(kurt_w)
• number of t samples removed due to spikes(n_spk_t)
• Number of u samples removed due to spikes(n_spk_u)
• number of v samples removed due to spikes(n_spk_v)
• number of w samples removed due to spikes(n_spk_w)
• Vector averaged wind speed(wind_spd)
• Number of bad or out of range t samples(n_bad_t)
• number of samples with bad sonic status flag(n_bad_son_ic)
• vector averaged wind direction(wind_dir)
• vertical (elevation) wind angle(elev)
• covariance wt(cvar_wt)
• rotated variance w(var_rot_w)
• variance of variable w(var_w)
• variance of v(var_rot_v)
• Variance of variable mean_v(var_v)
• skewness of variable w(skew_w)
• skewness of variable t(skew_t)
• variance of variable u(var_u)
• Rotated variance u(var_rot_u)
• Skewness of variable mean_v(skew_v)
• skewness of variable u(skew_u)
• variance of t(var_t)
• number of bad or out of range w samples(n_bad_w)
• number of bad or out of range u samples(n_bad_u)
• number of bad or out of range v samples(n_bad_v)
• Rotated covariance ut(cvar_rot_ut)
• rotated covariance uv(cvar_rot_uv)
• rotated covariance uw(cvar_rot_uw)
• Covariance vt(cvar_vt)
• friction velocity(ustar)
• rotation to zero v(phi)
• Rotated covariance vt(cvar_rot_vt)
• Down-boom wind velocity (u)(mean_u)
• Covariance vw(cvar_vw)
• mean sonic temperature (t), i.e. virtual temperature(mean_t)
• Vertical wind velocity (w)(mean_w)
• Cross-boom wind velocity (v)(mean_v)
• rotated covariance vw(cvar_rot_vw)