SGP/ECOR/E3 - Data transfer problem

Serial communication with one sensor (the IRGA) were partially disrupted due to 
deteriorating hardware from 13:53, Dec. 19, 2004 to 09:31 Dec. 20, 2004.  Serial data from the IRGA 
is mainly used to get sensor status codes, so this might lead to false increase of "bad" 
point count.  It seems that IRGA analog outputs (stored in raw sonic data file,  primary 
source of data) were not affected, so the flux data may be reprocessed or verified using 
raw sonic data files and ignoring IRGA sensor status.

• (Raw data stream - documentation not supported)

• covariance uq(cvar_uq)
• CO2 flux(fc)
• Rotated covariance vc(cvar_rot_vc)
• Number of c samples removed due to spikes(n_spk_c)
• 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)
• number of valid c samples(n_good_c)
• Latent heat of vaporization(lv)
• Covariance wc(cvar_wc)
• Covariance uc(cvar_uc)
• average voltage of IRGA cooler(mean_cooler)
• kurtosis of variable c(kurt_c)
• skewness of variable q(skew_q)
• number of samples with \IRGA hardware problem\ flag(n_bad_irga)
• Covariance qc(cvar_qc)
• rotated covariance vq(cvar_rot_vq)
• Average temperature (IGRA internal sensor)(temp_irga)
• Atmospheric pressure(atm_pres)
• covariance wq(cvar_wq)
• covariance of tq(cvar_tq)
• skewness of variable c(skew_c)
• Number of bad or out of range q samples(n_bad_q)
• latent heat flux(lv_e)
• rotated covariance uc(cvar_rot_uc)
• variance of c(var_c)
• Rotated covariance wc(cvar_rot_wc)
• moist air density(rho)
• kurtosis of variable q(kurt_q)
• Number of bad or out of range c samples(n_bad_c)
• Water vapor mixing ratio observed by the Raman lidar(mr)
• covariance vc(cvar_vc)
• number of valid q samples(n_good_q)
• Covariance tc(cvar_tc)
• variance of q(var_q)
• mean co2 concentration (c)(mean_c)
• specific heat of moist air(cp)
• Rotated covariance uq(cvar_rot_uq)
• rotated covariance wt(cvar_rot_wt)
• rotated covariance wq(cvar_rot_wq)
• Number of q samples removed due to spikes(n_spk_q)
• mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
• mean water vapor concentration (q)(mean_q)
• Covariance vq(cvar_vq)