DQRID : D041025.2
Start DateStart TimeEnd DateEnd Time
SGP/ECOR/E1 - System time drift
DataStreams:sgp30ecorE1.b1, sgpecorE1.00
Network Time Protocol (NTP) client was not working at the ECOR computer
resulting in an ECOR system time drift of about 6s per hour. Time 
adjustment by +15 minutes occurred at 17:35:25, Oct. 25, 2004.
  • (Raw data stream - documentation not supported)
  • Rotated variance u(var_rot_u)
  • variance of v(var_rot_v)
  • rotated variance w(var_rot_w)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • number of valid c samples(n_good_c)
  • mean water vapor concentration (q)(mean_q)
  • 0=real or 1=dummy value of cp(real_cp)
  • 0=real or 1=dummy value of rho(real_rho)
  • momentum flux (dynamic)(k)
  • mean co2 concentration (c)(mean_c)
  • vertical (elevation) wind angle(elev)
  • corrected sensible heat flux(h)
  • Water vapor mixing ratio observed by the Raman lidar(mr)
  • Average temperature (IGRA internal sensor)(temp_irga)
  • kurtosis of variable c(kurt_c)
  • Number of c samples removed due to spikes(n_spk_c)
  • Covariance wc(cvar_wc)
  • average voltage of IRGA cooler(mean_cooler)
  • CO2 flux(fc)
  • Vertical wind velocity (w)(mean_w)
  • Down-boom wind velocity (u)(mean_u)
  • Cross-boom wind velocity (v)(mean_v)
  • rotation to zero v(phi)
  • covariance wt(cvar_wt)
  • covariance wq(cvar_wq)
  • Time offset from base_time(time_offset)
  • base time in epoch(base_time)
  • Status of source for mixing ratio(real_mr)
  • specific heat of moist air(cp)
  • Number of bad or out of range c samples(n_bad_c)
  • kurtosis of variable w(kurt_w)
  • kurtosis of variable v(kurt_v)
  • Standard deviation of wind direction(std_wind_dir)
  • kurtosis of variable q(kurt_q)
  • kurtosis of variable u(kurt_u)
  • Kurtosis of variable mean_t(kurt_t)
  • Status of source for latent heat of vaporization(real_lv)
  • Covariance qc(cvar_qc)
  • Standard deviation of wind elevation angle(std_elev)
  • number of valid q samples(n_good_q)
  • Number of valid u samples(n_good_u)
  • Number of bad or out of range q samples(n_bad_q)
  • number of valid t samples(n_good_t)
  • Latent heat of vaporization(lv)
  • Number of valid w samples(n_good_w)
  • number of valid v samples(n_good_v)
  • number of bad or out of range u samples(n_bad_u)
  • Number of bad or out of range t samples(n_bad_t)
  • number of bad or out of range w samples(n_bad_w)
  • number of bad or out of range v samples(n_bad_v)
  • Rotated covariance wc(cvar_rot_wc)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • variance of c(var_c)
  • skewness of variable u(skew_u)
  • rotated mean v(mean_rot_v)
  • Rotated mean u(mean_rot_u)
  • skewness of variable t(skew_t)
  • skewness of variable w(skew_w)
  • friction velocity(ustar)
  • Covariance tc(cvar_tc)
  • rotated mean w(mean_rot_w)
  • Skewness of variable mean_v(skew_v)
  • skewness of variable q(skew_q)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wq(cvar_rot_wq)
  • variance of variable w(var_w)
  • variance of variable u(var_u)
  • Variance of variable mean_v(var_v)
  • variance of t(var_t)
  • variance of q(var_q)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • Atmospheric pressure(atm_pres)
  • covariance of tq(cvar_tq)
  • Rotated covariance vc(cvar_rot_vc)
  • moist air density(rho)
  • rotated covariance uw(cvar_rot_uw)
  • rotated covariance vq(cvar_rot_vq)
  • rotated covariance vw(cvar_rot_vw)
  • Rotated covariance vt(cvar_rot_vt)
  • skewness of variable c(skew_c)
  • latent heat flux(lv_e)
  • Vector averaged wind speed(wind_spd)
  • number of w samples removed due to spikes(n_spk_w)
  • rotated covariance uc(cvar_rot_uc)
  • covariance vc(cvar_vc)
  • Rotated covariance uq(cvar_rot_uq)
  • vector averaged wind direction(wind_dir)
  • rotated covariance uv(cvar_rot_uv)
  • Rotated covariance ut(cvar_rot_ut)
  • Covariance vw(cvar_vw)
  • Number of q samples removed due to spikes(n_spk_q)
  • Covariance vt(cvar_vt)
  • number of t samples removed due to spikes(n_spk_t)
  • time_in_seconds_since_volume_start(time)
  • Number of u samples removed due to spikes(n_spk_u)
  • Covariance vq(cvar_vq)
  • number of v samples removed due to spikes(n_spk_v)
  • Covariance uc(cvar_uc)
  • 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)
  • Mean value of "spike" t samples(mean_spk_t)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • covariance uw(cvar_uw)
  • Covariance uv(cvar_uv)
  • covariance ut(cvar_ut)
  • covariance uq(cvar_uq)

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