Data Quality Reports for Session: 153839 User: iengjo Completed: 10/16/2013


TABLE OF CONTENTS

DQR IDSubjectData Streams Affected
D130606.1PVC/ECOR/M1 - Missing pressure and temperature datapvc30ecorM1.b1
D130606.2PVC/ECOR/M1 - Missing datapvc30ecorM1.b1
D130715.2PVC/ECOR/M1 - Vapor Pressure Highpvc30ecorM1.b1


DQRID : D130606.1
Start DateStart TimeEnd DateEnd Time
12/27/2012103003/08/20131400
Subject:
PVC/ECOR/M1 - Missing pressure and temperature data
DataStreams:pvc30ecorM1.b1
Description:
Missing atm_pres and temp_irga data due to lack of proper voltage and a sonic anemometer 
connection problem.
Measurements:pvc30ecorM1.b1:
  • temp_irga
  • atm_pres


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DQRID : D130606.2
Start DateStart TimeEnd DateEnd Time
03/08/2013143006/03/20131700
Subject:
PVC/ECOR/M1 - Missing data
DataStreams:pvc30ecorM1.b1
Description:
Data are missing and unrecoverable.
Measurements:pvc30ecorM1.b1:
  • alt
  • mean_spk_c
  • real_mr
  • covariance tc(cvar_tc)
  • rotated covariance wt(cvar_rot_wt)
  • wind_dir
  • time
  • atm_pres
  • variance of variable w(var_w)
  • variance of variable v(var_v)
  • n_bad_son_ic
  • mean_cooler
  • standard deviation of wind elevation angle(std_elev)
  • skew_w
  • covariance tq(cvar_tq)
  • skew_q
  • kurt_v
  • kurt_u
  • skew_t
  • skew_u
  • kurt_w
  • skew_v
  • rotated covariance vt(cvar_rot_vt)
  • rotated covariance vq(cvar_rot_vq)
  • rotated covariance vw(cvar_rot_vw)
  • covariance uc(cvar_uc)
  • rotated covariance wq(cvar_rot_wq)
  • skew_c
  • covariance ut(cvar_ut)
  • covariance uw(cvar_uw)
  • rotated covariance wc(cvar_rot_wc)
  • covariance uv(cvar_uv)
  • covariance uq(cvar_uq)
  • Latent heat flux(lv_e)
  • time_offset
  • covaraince vc(cvar_vc)
  • elev
  • rotated covariance ut(cvar_rot_ut)
  • rotated covariance uw(cvar_rot_uw)
  • rotated covariance uv(cvar_rot_uv)
  • real_cp
  • rotated covariance uq(cvar_rot_uq)
  • covariance qc(cvar_qc)
  • friction velocity(ustar)
  • wind_spd
  • covariance vt(cvar_vt)
  • n_bad_irga
  • covariance vq(cvar_vq)
  • covariance vw(cvar_vw)
  • rotated covariance vc(cvar_rot_vc)
  • mean_v
  • mean_w
  • lv
  • Mean sonic temperature (t), i.e. virtual temperature(mean_t)
  • mean_u
  • real_lv
  • covariance wc(cvar_wc)
  • variance of variable q(var_q)
  • n_bad_c
  • lon
  • variance of variable t(var_t)
  • variance of variable u(var_u)
  • Mean H2O density(mean_q)
  • covaraince wq(cvar_wq)
  • covariance wt(cvar_wt)
  • variance of variable c(var_c)
  • Mean horizontal wind speed(mean_rot_u)
  • Mean CO2 density(mean_c)
  • rotated covariance uc(cvar_rot_uc)
  • mean_rot_w
  • mean_rot_v
  • n_bad_t
  • n_bad_q
  • n_bad_w
  • temp_irga
  • n_bad_u
  • n_bad_v
  • Water vapor mixing ratio observed by the Raman lidar(mr)
  • standard deviation of wind direction(std_wind_dir)
  • CO2 flux(fc)
  • n_spk_u
  • n_spk_t
  • base_time
  • n_spk_w
  • n_spk_v
  • n_bad_irga_light
  • n_spk_q
  • n_good_t
  • n_good_u
  • n_good_v
  • n_good_w
  • k
  • Corrected sensible heat flux(h)
  • n_spk_c
  • kurt_c
  • Pressure, condensation, at altitude, RUC model output(cp)
  • n_good_q
  • kurt_t
  • kurt_q
  • lat
  • n_good_c
  • phi
  • rotated variance u(var_rot_u)
  • real_rho
  • rotated variance w(var_rot_w)
  • rotated variance v(var_rot_v)
  • rho
  • mean_spk_w
  • mean_spk_v
  • mean_spk_u
  • mean_spk_t
  • mean_spk_q


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DQRID : D130715.2
Start DateStart TimeEnd DateEnd Time
06/01/2013000006/29/20130930
Subject:
PVC/ECOR/M1 - Vapor Pressure High
DataStreams:pvc30ecorM1.b1
Description:
The vapor pressure data from the ECOR was somewhat high. This is obvious as the MET vapor 
pressure was determined to be too high and the ECOR vapor pressure was just slightly 
higher than the MET measurement. This probably resulted in slightly too large LE as measured 
by the ECOR, by about 10%.
Measurements:pvc30ecorM1.b1:
  • rotated covariance wq(cvar_rot_wq)
  • covaraince wq(cvar_wq)
  • variance of variable q(var_q)
  • covariance vq(cvar_vq)
  • rotated covariance vq(cvar_rot_vq)
  • covariance uq(cvar_uq)
  • rotated covariance uq(cvar_rot_uq)
  • covariance qc(cvar_qc)
  • covariance tq(cvar_tq)
  • Mean H2O density(mean_q)
  • Latent heat flux(lv_e)


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END OF DATA