NIM/ECOR/M1 - Missing data

Data are missing and unrecoverable.

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

NIM/ECOR/M1 - Flux Data Suspect for Some Wind Directions

NIM: For some wind directions the horizontal fetch was not representative of the field in 
which the AMF was located.  Therefore, for the wind direction ranges 90-170 (buildings) 
and 220-280 (trees) degrees, the fluxes are affected by insufficient fetch and  surfaces, 
buildings, or vegetation that are not similar to the local field conditions.

• CO2 flux(fc)
• latent heat flux(lv_e)
• h(h)
• Friction velocity(ustar)

NIM/AERI/M1 - IRTs do not agree with AERI

Since deployment at PYE, and then at NIM, the AMF SKYRAD IRT measured about 10K higher sky 
temperatures than the AERI and the MWRP IRT measured about 20K higher than the AERI.  
Several actions were taken to diagnose the problem including confirming the correct 
configuration of the IRTs and data logger, cleaning the mirror and lens, and replacing the mirror.

After several days of rain beginning 6/2/2006, the three instruments came into agreement. 
It is unknown whether this was a problem with the AERI, MWRP-IRT or SKYRAD-IRT.

• AERI SW Scene Brightness Temp Spectral Averages (Ch2)(SkyBrightnessTempSpectralAveragesCh2)
• AERI LW Scene Brightness Temp Spectral Averages (Ch1)(SkyBrightnessTempSpectralAveragesCh1)

NIM/ECOR/M1 - Effects on ECOR CO2 Flux and Concentration By Aircraft

Aircraft landings, departures, and running aircraft on the airport pad
were found to produce large spikes in the half hourly CO2 flux and small spikes in CO2 
concentration on many days during the entire deployment of the AMF at NIM.  This influence 
was found on 40% of the days in March and April 2006 and sometimes for multiple periods in 
a day; this was typical of  the year of data.  The spikes range from only several 
micromoles s-1 m-2 to one hundred or more for flux (a typical spike was in the twenties) and 
near zero to 1.0 mmoles m-3 for CO2 concentration (typically around 0.15).

The aircraft influence was caused by persistent easterly winds; the airport
terminal pad and the nearest part of the runway were almost directly to the
east of the ECOR location.

Occasionally an influence on water vapor density was detected, but this was fairly rare 
and usually of very small magnitude.

• rotated covariance vc(cvar_rot_vc)
• covariance wc(cvar_wc)
• rotated covariance wc(cvar_rot_wc)
• covariance of tc(cvar_tc)
• CO2 flux(fc)
• rotated covariance uc(cvar_rot_uc)
• variance of c(var_c)
• covariance vc(cvar_vc)
• covariance uc(cvar_uc)
• mean co2 concentration (c)(mean_c)