SGP/ECOR/E10 - Timestamp problems and intermittent data gaps

The raw files produced by the instrument contained bad (uncorrectable) data.  Specifically 
the date of the data in the file is given a time that is ahead of the actual time the 
data was genertaed.  This was caught because the date in the file was ahead of the system 
time of the server processing the raw file.  The mentor indicated all such files were 
compeltely bad and unrecoverable so all files that failed to be ingested were not shipped to 
the archive, thus producing holes in the raw and processed datastreams.  Because the 
problem was discovered by comparing to system time at time of processing all files between 
these dates should be consider suspect.  Therefore the files that are on the system over 
these three days should be used cautiously

• Raw data stream - documentation not supported(raw)

• kurtosis of variable v(kurt_v)
• covariance vq(cvar_vq)
• condensation pressure(cp)
• vector averaged wind speed(wind_spd)
• variance of variable v(var_v)
• base time(base_time)
• standard deviation of wind elevation angle(std_elev)
• rotated covariance ut(cvar_rot_ut)
• variance of variable w(var_w)
• kurtosis of variable q(kurt_q)
• Friction velocity(ustar)
• number of valid t samples(n_good_t)
• h(h)
• number of u samples removed due to spikes(n_spk_u)
• mean value of \spike\ w samples(mean_spk_w)
• Water vapor density (q)(mean_q)
• rotated covariance wt(cvar_rot_wt)
• rotated mean w(mean_rot_w)
• kurtosis of variable w(kurt_w)
• vw covariance(cvar_vw)
• skewness of variable v(skew_v)
• 0=real or 1=dummy value of lv(real_lv)
• Down-boom wind velocity (u)(mean_u)
• latent heat flux(lv_e)
• Retrieved water vapor density profile(rho)
• Virtual temperature (T)(mean_t)
• covariance wq(cvar_wq)
• number of t samples removed due to spikes(n_spk_t)
• rotated covariance vq(cvar_rot_vq)
• rotated covariance wc(cvar_rot_wc)
• Dummy altitude for Zeb(alt)
• number of samples with bad sonic status flag(n_bad_son_ic)
• vertical (elevation) wind angle(elev)
• number of q samples removed due to spikes(n_spk_q)
• covariance uc(cvar_uc)
• number of valid c samples(n_good_c)
• Cross-boom wind velocity (v)(mean_v)
• kurtosis of variable t(kurt_t)
• number of valid w samples(n_good_w)
• rotated covariance uw(cvar_rot_uw)
• 0=real or 1=dummy value of mr(real_mr)
• number of valid u samples(n_good_u)
• rotated covariance vt(cvar_rot_vt)
• rotated covariance uc(cvar_rot_uc)
• rotated covariance uv(cvar_rot_uv)
• number of valid v samples(n_good_v)
• rotated covariance vw(cvar_rot_vw)
• covariance of tc(cvar_tc)
• variance of variable u(var_u)
• wT covariance(cvar_wt)
• covariance vt(cvar_vt)
• 0=real or 1=dummy value of cp(real_cp)
• number of bad or out of range v samples(n_bad_v)
• skewness of variable c(skew_c)
• latent heat of vaporization(lv)
• covariance wc(cvar_wc)
• CO2 flux(fc)
• variance of t(var_t)
• number of bad or out of range u samples(n_bad_u)
• Time offset of tweaks from base_time(time_offset)
• skewness of variable t(skew_t)
• rotated mean v(mean_rot_v)
• number of v samples removed due to spikes(n_spk_v)
• vector averaged wind direction(wind_dir)
• Vertical angle of wind(phi)
• time(time)
• mean value of \spike\ v samples(mean_spk_v)
• lon(lon)
• number of bad or out of range c samples(n_bad_c)
• number of w samples removed due to spikes(n_spk_w)
• number of valid q samples(n_good_q)
• number of c samples removed due to spikes(n_spk_c)
• 0=real or 1=dummy value of rho(real_rho)
• mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
• Vertical wind velocity (w)(mean_w)
• variance of w(var_rot_w)
• covariance vc(cvar_vc)
• covariance uq(cvar_uq)
• rotated covariance uq(cvar_rot_uq)
• mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
• covariance of tq(cvar_tq)
• number of bad or out of range q samples(n_bad_q)
• skewness of variable q(skew_q)
• kurtosis of variable u(kurt_u)
• covariance of qc(cvar_qc)
• average temperature (IGRA internal sensor)(temp_irga)
• variance of v(var_rot_v)
• mean value of \spike\ u samples(mean_spk_u)
• mean co2 concentration (c)(mean_c)
• covariance uv(cvar_uv)
• mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
• number of samples with IRGA optical path blocked flag(n_bad_irga_light)
• number of bad or out of range t samples(n_bad_t)
• mean horizontal wind speed(mean_rot_u)
• variance of c(var_c)
• rotated covariance vc(cvar_rot_vc)
• skewness of variable u(skew_u)
• uw covariance(cvar_uw)
• covariance ut(cvar_ut)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• lat(lat)
• skewness of variable w(skew_w)
• rotated covariance wq(cvar_rot_wq)
• momentum flux (dynamic)(k)
• standard deviation of wind direction(std_wind_dir)
• average voltage of IRGA cooler(mean_cooler)
• mixing ratio(mr)
• variance of u(var_rot_u)
• variance of q(var_q)
• number of bad or out of range w samples(n_bad_w)
• kurtosis of variable c(kurt_c)
• number of samples with \IRGA hardware problem\ flag(n_bad_irga)

SGP/ECOR/E10 - Reprocess: Incorrectly flagged (marked as "bad") H2O/CO2 data

Due to system clock instability on ECOR computers their system time is adjusted 
approximately once per hour; sometimes this adjustment leads to backward time jumps over midnight, 
into the previous day. In this case all the data based on CO2/H2O measurements might be 
erroneously marked as bad.

• rotated covariance vq(cvar_rot_vq)
• rotated covariance wc(cvar_rot_wc)
• skewness of variable c(skew_c)
• latent heat of vaporization(lv)
• covariance wc(cvar_wc)
• covariance vq(cvar_vq)
• CO2 flux(fc)
• condensation pressure(cp)
• number of q samples removed due to spikes(n_spk_q)
• covariance uc(cvar_uc)
• number of valid c samples(n_good_c)
• variance of c(var_c)
• rotated covariance vc(cvar_rot_vc)
• number of bad or out of range c samples(n_bad_c)
• 0=real or 1=dummy value of mr(real_mr)
• number of valid q samples(n_good_q)
• mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
• 0=real or 1=dummy value of rho(real_rho)
• number of c samples removed due to spikes(n_spk_c)
• rotated covariance uc(cvar_rot_uc)
• Water vapor density (q)(mean_q)
• covariance vc(cvar_vc)
• rotated covariance wq(cvar_rot_wq)
• covariance of tc(cvar_tc)
• covariance uq(cvar_uq)
• 0=real or 1=dummy value of lv(real_lv)
• rotated covariance uq(cvar_rot_uq)
• mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
• mixing ratio(mr)
• variance of q(var_q)
• latent heat flux(lv_e)
• covariance of tq(cvar_tq)
• number of bad or out of range q samples(n_bad_q)
• skewness of variable q(skew_q)
• covariance of qc(cvar_qc)
• covariance wq(cvar_wq)
• 0=real or 1=dummy value of cp(real_cp)
• mean co2 concentration (c)(mean_c)

SGP/EBBR/E7 - Data Missing

Data was missing because of a communication problem.  However, previously
missing data from 10/07-18 was recovered from the EBRR storage module and ingested, 
thereby reducing the data lost period significantly.

• lon(lon)
• Net radiation(mv_q)
• Soil moisture 2(r_sm2)
• Temperature of left humidity sensor chamber(rr_thum_l)
• Soil moisture 3(r_sm3)
• Soil heat flow 3(mv_hft3)
• Soil heat flow 4(mv_hft4)
• lat(lat)
• Soil moisture 5(r_sm5)
• Home signal(mv_home)
• Wind direction (relative to true north)(mv_wind_d)
• Soil heat flow 5(mv_hft5)
• Reference temperature(rr_tref)
• base time(base_time)
• Left relative humidity(mv_hum_l)
• scalar wind speed(wind_s)
• Battery(bat)
• Soil heat flow 1(mv_hft1)
• Right relative humidity(mv_hum_r)
• Time offset of tweaks from base_time(time_offset)
• Temperature of right humidity sensor chamber(rr_thum_r)
• Dummy altitude for Zeb(alt)
• Soil temperature 4(rr_ts4)
• Left air temperature(tair_l)
• Soil temperature 3(rr_ts3)
• Soil moisture 4(r_sm4)
• Soil temperature 5(rr_ts5)
• Soil moisture 1(r_sm1)
• Soil heat flow 2(mv_hft2)
• Right air temperature(tair_r)
• Signature(signature)
• Soil temperature 1(rr_ts1)
• Atmospheric pressure(mv_pres)
• Soil temperature 2(rr_ts2)

• base time(base_time)
• lat(lat)
• net radiation(q)
• Top humidity(hum_top)
• lon(lon)
• bottom vapor pressure(vp_bot)
• Time offset of tweaks from base_time(time_offset)
• Retrieved pressure profile(pres)
• Bottom humidity(hum_bot)
• top vapor pressure(vp_top)
• Temperature of the top humidity chamber(thum_top)
• vector wind speed(res_ws)
• bottom air temperature(tair_bot)
• Home signal(home)
• top air temperature(tair_top)
• wind direction (relative to true north)(wind_d)
• standard deviation of wind direction (sigma theta)(sigma_wd)
• scalar wind speed(wind_s)
• Dummy altitude for Zeb(alt)
• time(time)
• Temperature of bottom humidity sensor chamber(thum_bot)
• Reference Thermistor Temperature(tref)

• volumetric soil moisture, site 3(sm3)
• lon(lon)
• volumetric soil moisture, site 2(sm2)
• wind direction (relative to true north)(wind_d)
• bottom air temperature(tair_bot)
• Exchange mechanism position indicator (0 to 15 min)(home_15)
• volumetric soil moisture, site 4(sm4)
• average surface soil heat flow(ave_shf)
• Temperature of bottom humidity sensor chamber(thum_bot)
• 5 cm soil heat flow, site 4(shf4)
• 0-5 cm integrated soil temperature, site 4(ts4)
• volumetric soil moisture, site 5(sm5)
• Soil heat capacity 2(cs2)
• 5 cm soil heat flow, site 3(shf3)
• 0-5 cm integrated soil temperature, site 5(ts5)
• top air temperature(tair_top)
• volumetric soil moisture, site 1(sm1)
• 0-5 cm change in soil heat storage with time, site 2(ces2)
• 0-5 cm integrated soil temperature, site 2(ts1)
• top vapor pressure(vp_top)
• scalar wind speed(wind_s)
• latent heat flux(e)
• vector wind speed(res_ws)
• lat(lat)
• ratio of sensible/latent heat fluxes (Bowen ratio)(bowen)
• bottom vapor pressure(vp_bot)
• Top humidity(hum_top)
• standard deviation of wind direction (sigma theta)(sigma_wd)
• soil heat flow, site 3(g3)
• 5 cm soil heat flow, site 5(shf5)
• 5 cm soil heat flow corrected for soil moisture content, site 3(c_shf3)
• base time(base_time)
• soil heat flow, site 2(g2)
• Soil heat capacity 1(cs1)
• Bottom humidity(hum_bot)
• Reference Thermistor Temperature(tref)
• 0-5 cm integrated soil temperature, site 2(ts2)
• h(h)
• Soil heat capacity 4(cs4)
• Temperature of the top humidity chamber(thum_top)
• Soil heat capacity 5(cs5)
• Retrieved pressure profile(pres)
• 0-5 cm change in soil heat storage with time, site 5(ces5)
• Time offset of tweaks from base_time(time_offset)
• Exchange mechanism position indicator (15 to 30 min)(home_30)
• 5 cm soil heat flow corrected for soil moisture content, site 5(c_shf5)
• 0-5 cm change in soil heat storage with time, site 4(ces4)
• net radiation(q)
• 0-5 cm change in soil heat storage with time, site 2(ces1)
• 0-5 cm integrated soil temperature, site 3(ts3)
• soil heat flow, site 1(g1)
• 5 cm soil heat flow corrected for soil moisture content, site 1(c_shf1)
• soil heat flow, site 4(g4)
• Soil heat capacity 3(cs3)
• Dummy altitude for Zeb(alt)
• 0-5 cm change in soil heat storage with time, site 3(ces3)
• 5 cm soil heat flow corrected for soil moisture content, site 2(c_shf2)
• soil heat flow, site 5(g5)
• 5 cm soil heat flow corrected for soil moisture content, site 4(c_shf4)
• 5 cm soil heat flow, site 2(shf2)
• 5 cm soil heat flow, site 1(shf1)

SGP/ECOR/E10 - Missing data

Data are missing and unrecoverable.

• kurtosis of variable v(kurt_v)
• covariance vq(cvar_vq)
• condensation pressure(cp)
• vector averaged wind speed(wind_spd)
• variance of variable v(var_v)
• base time(base_time)
• standard deviation of wind elevation angle(std_elev)
• rotated covariance ut(cvar_rot_ut)
• variance of variable w(var_w)
• kurtosis of variable q(kurt_q)
• Friction velocity(ustar)
• number of valid t samples(n_good_t)
• h(h)
• number of u samples removed due to spikes(n_spk_u)
• mean value of \spike\ w samples(mean_spk_w)
• Water vapor density (q)(mean_q)
• rotated covariance wt(cvar_rot_wt)
• rotated mean w(mean_rot_w)
• kurtosis of variable w(kurt_w)
• vw covariance(cvar_vw)
• skewness of variable v(skew_v)
• 0=real or 1=dummy value of lv(real_lv)
• Down-boom wind velocity (u)(mean_u)
• latent heat flux(lv_e)
• Retrieved water vapor density profile(rho)
• Virtual temperature (T)(mean_t)
• covariance wq(cvar_wq)
• number of t samples removed due to spikes(n_spk_t)
• rotated covariance vq(cvar_rot_vq)
• rotated covariance wc(cvar_rot_wc)
• Dummy altitude for Zeb(alt)
• number of samples with bad sonic status flag(n_bad_son_ic)
• vertical (elevation) wind angle(elev)
• number of q samples removed due to spikes(n_spk_q)
• covariance uc(cvar_uc)
• number of valid c samples(n_good_c)
• Cross-boom wind velocity (v)(mean_v)
• kurtosis of variable t(kurt_t)
• number of valid w samples(n_good_w)
• rotated covariance uw(cvar_rot_uw)
• 0=real or 1=dummy value of mr(real_mr)
• number of valid u samples(n_good_u)
• rotated covariance vt(cvar_rot_vt)
• rotated covariance uc(cvar_rot_uc)
• rotated covariance uv(cvar_rot_uv)
• number of valid v samples(n_good_v)
• rotated covariance vw(cvar_rot_vw)
• covariance of tc(cvar_tc)
• variance of variable u(var_u)
• wT covariance(cvar_wt)
• covariance vt(cvar_vt)
• 0=real or 1=dummy value of cp(real_cp)
• number of bad or out of range v samples(n_bad_v)
• skewness of variable c(skew_c)
• latent heat of vaporization(lv)
• covariance wc(cvar_wc)
• CO2 flux(fc)
• variance of t(var_t)
• number of bad or out of range u samples(n_bad_u)
• Time offset of tweaks from base_time(time_offset)
• skewness of variable t(skew_t)
• rotated mean v(mean_rot_v)
• number of v samples removed due to spikes(n_spk_v)
• vector averaged wind direction(wind_dir)
• Vertical angle of wind(phi)
• time(time)
• mean value of \spike\ v samples(mean_spk_v)
• lon(lon)
• number of bad or out of range c samples(n_bad_c)
• number of w samples removed due to spikes(n_spk_w)
• number of valid q samples(n_good_q)
• number of c samples removed due to spikes(n_spk_c)
• 0=real or 1=dummy value of rho(real_rho)
• mean value of out of range values and spikes of q -9999 if no spikes(mean_spk_q)
• Vertical wind velocity (w)(mean_w)
• variance of w(var_rot_w)
• covariance vc(cvar_vc)
• covariance uq(cvar_uq)
• rotated covariance uq(cvar_rot_uq)
• mean value of out of range values and spikes of c -9999 if no spikes(mean_spk_c)
• covariance of tq(cvar_tq)
• number of bad or out of range q samples(n_bad_q)
• skewness of variable q(skew_q)
• kurtosis of variable u(kurt_u)
• covariance of qc(cvar_qc)
• average temperature (IGRA internal sensor)(temp_irga)
• variance of v(var_rot_v)
• mean value of \spike\ u samples(mean_spk_u)
• mean co2 concentration (c)(mean_c)
• covariance uv(cvar_uv)
• mean value of out of range values and spikes of t -9999 if no spikes(mean_spk_t)
• number of samples with IRGA optical path blocked flag(n_bad_irga_light)
• number of bad or out of range t samples(n_bad_t)
• mean horizontal wind speed(mean_rot_u)
• variance of c(var_c)
• rotated covariance vc(cvar_rot_vc)
• skewness of variable u(skew_u)
• uw covariance(cvar_uw)
• covariance ut(cvar_ut)
• average atmospheric pressure (IGRA internal sensor)(atm_pres)
• lat(lat)
• skewness of variable w(skew_w)
• rotated covariance wq(cvar_rot_wq)
• momentum flux (dynamic)(k)
• standard deviation of wind direction(std_wind_dir)
• average voltage of IRGA cooler(mean_cooler)
• mixing ratio(mr)
• variance of u(var_rot_u)
• variance of q(var_q)
• number of bad or out of range w samples(n_bad_w)
• kurtosis of variable c(kurt_c)
• number of samples with \IRGA hardware problem\ flag(n_bad_irga)

SGP/EBBR/E7 - Net Radiation Incorrect; Sensible and Latent Heat Fluxes Incorrect

The top dome of the net radiometer was cracked; net radiation, and sensible and latent 
heat flux measurements were incorrect.

• Net radiation(mv_q)

• net radiation(q)
• h(h)
• latent heat flux(e)

• net radiation(q)

SGP/EBBR/E7 - metadata corrections

On 20050723, a series of metadata corrections and additions were completed.  These 
metadata changes apply to all EBBR.E7 data collected by ARM back to the installation of the 
instrument in May 1993. Please see the current metadata for correct information.  These 
changes do not affect data values or quality.	

The changes are summarized below:
1) Update of "sensor location" information
2) Addition of installation dates for the systems
3) Correction of soil moisture units (from "by volume" to "gravimetric")

• base time(base_time)

• base time(base_time)

• base time(base_time)

SGP/EBBR/E7 - Barometric Pressure Incorrect

The pressure measurement sometimes dropped to zero during daytime because of 
unstable battery voltage.

• Atmospheric pressure(mv_pres)

• Retrieved pressure profile(pres)

• Retrieved pressure profile(pres)

SGP/EBBR/E7 - Fluxes and Gradient Measurements Incorrect

The left AEM aspirator was not working during this period, resulting in incorrect gradient 
and flux measurements.

• Left relative humidity(mv_hum_l)
• Left air temperature(tair_l)
• Temperature of left humidity sensor chamber(rr_thum_l)

• ratio of sensible/latent heat fluxes (Bowen ratio)(bowen)
• bottom vapor pressure(vp_bot)
• Top humidity(hum_top)
• top air temperature(tair_top)
• Temperature of bottom humidity sensor chamber(thum_bot)
• h(h)
• top vapor pressure(vp_top)
• latent heat flux(e)
• Temperature of the top humidity chamber(thum_top)
• bottom air temperature(tair_bot)
• Bottom humidity(hum_bot)

• Top humidity(hum_top)
• Bottom humidity(hum_bot)
• Temperature of the top humidity chamber(thum_top)
• top vapor pressure(vp_top)
• top air temperature(tair_top)
• Temperature of bottom humidity sensor chamber(thum_bot)
• bottom vapor pressure(vp_bot)
• bottom air temperature(tair_bot)

SGP/ECOR/E10 - Reprocess: Wind Direction Incorrect

It was discovered that the E10 ECOR boom is aligned 17 degrees to the west of true north.  
Therefore, all wind direction data for the stated period is 17 degrees too high.  
Subtract 17 degrees from the wind direction to give the correct direction.

The E10 configuration file was modified to correct this problem.

• vector averaged wind direction(wind_dir)

SGP/EBBR/E7 - Windspeed threshhold too high

The wind speed sensor developed worn bearings and therefore too high a starting 
threshhold.

The data user should compare the EBBR wind speed with the SMOS wind speed to detect 
periods when the EBBR wind speed threshhold caused poor data quality.

• scalar wind speed(wind_s)
• vector wind speed(res_ws)

• vector wind speed(res_ws)
• scalar wind speed(wind_s)

• scalar wind speed(wind_s)

SGP/EBBR/E7  - Wind Speed Frozen Stopped

Freezing rain stopped wind speed sensor.

• scalar wind speed(wind_s)
• vector wind speed(res_ws)

• vector wind speed(res_ws)
• scalar wind speed(wind_s)

• scalar wind speed(wind_s)