DQRID : D121001.1
Start DateStart TimeEnd DateEnd Time
09/04/2012210009/19/20122000
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Subject:
SGP/ECOR/E14 - Intermittent missing data
DataStreams:sgp30ecorE14.b1
Description:
The ecor computer at E14 locked up. Cooling fans were replaced, and the computer was 
returned to service and collecting data. Some data loss has occurred after the computer was 
virtualized, but data loss has not occurred recently.
Suggestions: 
Measurements:sgp30ecorE14.b1:
  • rotated mean w(mean_rot_w)
  • rotated mean v(mean_rot_v)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • Rotated mean u(mean_rot_u)
  • variance of c(var_c)
  • Mean value of "spike" u samples(mean_spk_u)
  • number of samples with \IRGA hardware problem\ flag(n_bad_irga)
  • Mean value of "spike" t samples(mean_spk_t)
  • mean value of \spike\ w samples(mean_spk_w)
  • Mean value of "spike" v samples(mean_spk_v)
  • covariance wt(cvar_wt)
  • kurtosis of variable c(kurt_c)
  • friction velocity(ustar)
  • covariance wq(cvar_wq)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • number of samples with IRGA optical path blocked flag(n_bad_irga_light)
  • mean water vapor concentration (q)(mean_q)
  • mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • Standard deviation of wind direction(std_wind_dir)
  • Cross-boom wind velocity (v)(mean_v)
  • Down-boom wind velocity (u)(mean_u)
  • Vertical wind velocity (w)(mean_w)
  • kurtosis of variable w(kurt_w)
  • kurtosis of variable v(kurt_v)
  • Vector averaged wind speed(wind_spd)
  • Covariance vw(cvar_vw)
  • variance of variable w(var_w)
  • variance of variable u(var_u)
  • Variance of variable mean_v(var_v)
  • Covariance vt(cvar_vt)
  • Covariance vq(cvar_vq)
  • vector averaged wind direction(wind_dir)
  • variance of t(var_t)
  • variance of q(var_q)
  • kurtosis of variable q(kurt_q)
  • Covariance wc(cvar_wc)
  • kurtosis of variable u(kurt_u)
  • Kurtosis of variable mean_t(kurt_t)
  • North Latitude(lat)
  • number of valid c samples(n_good_c)
  • Rotated covariance wc(cvar_rot_wc)
  • Status of source for latent heat of vaporization(real_lv)
  • time_in_seconds_since_volume_start(time)
  • Covariance qc(cvar_qc)
  • -180.0 - +180.0(alt)
  • rotated covariance wt(cvar_rot_wt)
  • rotated covariance wq(cvar_rot_wq)
  • 0=real or 1=dummy value of cp(real_cp)
  • skewness of variable c(skew_c)
  • latent heat flux(lv_e)
  • Status of source for mixing ratio(real_mr)
  • Number of bad or out of range q samples(n_bad_q)
  • Number of valid w samples(n_good_w)
  • number of bad or out of range v samples(n_bad_v)
  • number of bad or out of range w samples(n_bad_w)
  • number of valid v samples(n_good_v)
  • Number of bad or out of range t samples(n_bad_t)
  • Number of valid u samples(n_good_u)
  • number of bad or out of range u samples(n_bad_u)
  • number of valid t samples(n_good_t)
  • specific heat of moist air(cp)
  • number of valid q samples(n_good_q)
  • rotation to zero v(phi)
  • Number of bad or out of range c samples(n_bad_c)
  • 0=real or 1=dummy value of rho(real_rho)
  • Time offset from base_time(time_offset)
  • rotated covariance uc(cvar_rot_uc)
  • Average temperature (IGRA internal sensor)(temp_irga)
  • Rotated covariance uq(cvar_rot_uq)
  • rotated covariance uv(cvar_rot_uv)
  • Rotated covariance ut(cvar_rot_ut)
  • Covariance tc(cvar_tc)
  • rotated covariance uw(cvar_rot_uw)
  • Latent heat of vaporization(lv)
  • Rotated covariance vc(cvar_rot_vc)
  • Standard deviation of wind elevation angle(std_elev)
  • skewness of variable u(skew_u)
  • skewness of variable t(skew_t)
  • skewness of variable w(skew_w)
  • Skewness of variable mean_v(skew_v)
  • skewness of variable q(skew_q)
  • lon(lon)
  • Atmospheric pressure(atm_pres)
  • average voltage of IRGA cooler(mean_cooler)
  • rotated covariance vq(cvar_rot_vq)
  • rotated covariance vw(cvar_rot_vw)
  • Rotated covariance vt(cvar_rot_vt)
  • base time in epoch(base_time)
  • Water vapor mixing ratio observed by the Raman lidar(mr)
  • vertical (elevation) wind angle(elev)
  • CO2 flux(fc)
  • number of samples with bad sonic status flag(n_bad_son_ic)
  • Covariance uv(cvar_uv)
  • covariance ut(cvar_ut)
  • covariance uq(cvar_uq)
  • covariance uw(cvar_uw)
  • covariance vc(cvar_vc)
  • Number of c samples removed due to spikes(n_spk_c)
  • number of w samples removed due to spikes(n_spk_w)
  • mean co2 concentration (c)(mean_c)
  • Number of q samples removed due to spikes(n_spk_q)
  • covariance of tq(cvar_tq)
  • number of t samples removed due to spikes(n_spk_t)
  • number of v samples removed due to spikes(n_spk_v)
  • Number of u samples removed due to spikes(n_spk_u)
  • Rotated variance u(var_rot_u)
  • variance of v(var_rot_v)
  • corrected sensible heat flux(h)
  • rotated variance w(var_rot_w)
  • momentum flux (dynamic)(k)
  • Covariance uc(cvar_uc)
  • moist air density(rho)
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