DQRID : D040826.1
Start DateStart TimeEnd DateEnd Time
SGP/ECOR/E24 - Reprocess: Sonic analog input failure
All the data based on H2O and CO2 "analog signals" (latent heat flux, CO2 flux, etc.) are 
incorrect for the period of 10:00 June 4, 2004 to 17:30 Sept. 16, 2004 due to to failure 
in sonic anemometer analog input circuitry.  Correct water vapor density and CO2 
concentration data are stored in IRGA (infrared gas analyzer) raw data files (sgpecorE24.00 
datastream); that data may be used to re-calculate fluxes.
  • covariance uq(cvar_uq)
  • covariance wq(cvar_wq)
  • number of valid c samples(n_good_c)
  • CO2 flux(fc)
  • mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
  • kurtosis of variable q(kurt_q)
  • Rotated covariance vc(cvar_rot_vc)
  • Covariance qc(cvar_qc)
  • skewness of variable c(skew_c)
  • mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
  • variance of q(var_q)
  • Covariance tc(cvar_tc)
  • covariance vc(cvar_vc)
  • mean co2 concentration (c)(mean_c)
  • Status of source for mixing ratio(real_mr)
  • Number of c samples removed due to spikes(n_spk_c)
  • Latent heat of vaporization(lv)
  • rotated covariance vq(cvar_rot_vq)
  • Covariance vq(cvar_vq)
  • variance of c(var_c)
  • 0=real or 1=dummy value of cp(real_cp)
  • mean water vapor concentration (q)(mean_q)
  • covariance of tq(cvar_tq)
  • rotated covariance uc(cvar_rot_uc)
  • Number of bad or out of range q samples(n_bad_q)
  • Rotated covariance wc(cvar_rot_wc)
  • Number of q samples removed due to spikes(n_spk_q)
  • Covariance wc(cvar_wc)
  • number of valid q samples(n_good_q)
  • specific heat of moist air(cp)
  • Covariance uc(cvar_uc)
  • latent heat flux(lv_e)
  • Number of bad or out of range c samples(n_bad_c)
  • Water vapor mixing ratio observed by the Raman lidar(mr)
  • 0=real or 1=dummy value of rho(real_rho)
  • rotated covariance wq(cvar_rot_wq)
  • Status of source for latent heat of vaporization(real_lv)
  • kurtosis of variable c(kurt_c)
  • Rotated covariance uq(cvar_rot_uq)
  • skewness of variable q(skew_q)

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