- 5-minute averages of first and second-order moments of calibrated data. We recommend combining these to obtain more statistically-significant averages over longer time periods.
- 1, 10, or 20 sample/second uncalibrated values. Software is maintained at SSSF to generate calibrated time series on demand using the most current calibration routines.

The FLAT experiment was carried out from September through November, 1990. This time of year was chosen to maximize the chances for near-neutral stability conditions (overcast, strong winds) to occur, yet to obtain data in convective conditions early in the experiment.

Just a few photos have been digitized. Oncley has more images on slides:

- A group headed by Dr.~Zvang from the Soviet Academy of Sciences deployed a sonic anemometer, temperature sensors, and net radiometer during the first part of the experiment.
- NOAA/WPL brought two sonic anemometers during the experiment and also deployed a laser scintillometer during the last part of the experiment.
- At the very end of the experiment, a slow ozone sensor was added to see if Denver air pollution could be detected from 150~km away.

In addition, nine PAM stations were deployed to document the mesoscale flow. See the separate PAM page.

- The sonic anemometer data have been processed using a tilt correction which fits the mean wind to a planar surface, which ideally is parallel to the actual surface of the ground. Tilt plots to be added. Days 52-60
- The sonic anemometer data have been despiked using the current adaptive despiking routines.
- All of the analog signals were inadvertantly low-pass filtered twice - once by an analog filter and again by block averaging 200 sample-per-second digital data. The fast T (t.), fast pressure (pp.), and fast humidity (h2o.) signals have been compensated for this filtering by a time-domain technique applied to the raw archive signals.
- The fast-response pressure sensors (pp.) have been corrected for high-pass filtering by their leaky reservoir by special code applied to the raw archive data which applies a correction for the measured reservoir time constant in the frequency domain (by taking an FFT, correcting the spectra, and taking the inverse FFT).
- Time derivatives of the temperature and pressure signals were calculated as a two-point centered difference [dx/dt (i) = (x(i+1)-x(i-1)) / 2T] from the time series. This calculation induces a phase lag in both the original signal and the derivative, which is corrected by a phase parameter in prep.config.
- A cross-correlation analysis indicated that the w'p' correlation was quite sensitive to phase lags bweteen these sensors. Therefore, a time-dependent phase correction has been applied to the pressure signals which depends on the wind speed and direction and uses the position of the pressure ports relative to the ATI sonic w path.

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- Soil Moisture
- Statistic comparison plots:

This page was prepared by Steven Oncley, NCAR Research Technology Facility