CASES99 October 1999 1.- Authors or source of the data: University of Barcelona (Spain) Authors: Maria Rosa Soler, Carmelo Infante and Pablo Buenestado. 2.- Description of the sensors used in the data collection. The sub-gully study consists in a 10 m tower instrumented with: Three levels, 1.06, 3.07 and 9 m of slow response measurements of temperature, wind speed and direction, and humidity. Two sonic anemometers were implemented at 1.75 and 7.4 m respectively. The measurements also include net radiation at 1.06 m, ground heat flux at 8 cm, four soil temperature sensors at 1.5, 6, 14, 28, and two moisture sensors at 14 and 28 cm, respectively. Sonic anemometers: 2.1.- Campbell CSAT3, and Solent 1012-R2. Sample frequency 20 Hz, Threshold : 30 mm/s for u ,v and 4mm/s for w Accuracy: < 30 m/s +-3%; >30 m/s +-5%; 2.2.- Wind speed and direction measured with propeller anemometers (RM young 05103). Sample frequency 5 Hz Wind Vanes, Threshold: 1.0 m/s at 10º displacement, 1.5 m/s at 5º; Accuracy +- 3º Cup anemometers, Threshold : 0.5 m/s ; Accuracy +- 0.2 m/s 2.3.- Temperature and humidity were measured with a precision thermisthor and a Vaisala capacitive relative humidity sensors (Campbell HMP35AC). Sample frequency 1Hz Absolute Temperature, Accuracy : +- 0.01 ºC from(-23 to 48)ºC Humidity Accuracy : +-1% RH 0-90%, 3% 90-100% 2.4.- Net radiation were measured with a (Campbell 107) net radiometer Sample frequency 1 Hz Accuracy: +- 5% to +- 10 % 2.5.- Soil Temperature were measured with (Campbell 107 ) temperature probe Sample frequency 1 Hz Accuracy: +- 0.1 ºC from (-23 to 48)ºC 2.6.- Soil heat flux were measured with a soil water content reflectometer (Campbell CS615) Sample frequency: 1 Hz Accuracy: +- 1% to +- 5% 2.7.- Ground heat flux were measured with a (Campbell RECS HFT-3) heat flux plate. Sample frequency 1 Hz The resolution is 10-6 m3/m3 and accuracy 2% These instruments were calibrated prior to the campaign at the Campbell headquarters in England. 3.- Low frequency measurements were averaged every five minutes. The variable list is: Year, month, day, hour, minutes and seconds Hour (If hour is 1205 the mean value is from 1200 to 1205) If the data do not exists or is incorrect it appears in the appropriate place + 6999 or -6999, it depends of the sensor. TA1 (Air temperature at 1.06 meters) (Celsius) TA3 ( 3.07 meters) TA9 ( 9 meters) HR1 (Relative Humidity at 1.06 meters) (%) HR3 ( 3.07 meters) HR9 ( 9 meters) Ts2 (Soil temperature at 1.5 cm) (Celsius) Ts6 ( 6 meters) Ts14 ( 14 meters) Ts28 ( 28 meters) Flux (Termofluximeter at 8 cm) (W/m2) Hs14 (Soil water content soil 14 cm) (m3 water/m3 soil) Hs28 ( 28 cm) Rn1 (Net radiation at 1.06m) (W/m2) V1 (Mean velocity value= Sum(Mi)/n) (m/s) Mag1 (Wind's magnitude) Fase1 (Angle (North direction=0)) Dsdv1 (Standard deviation) V3 (The same at 3.07 meters....) Mag3 Fase3 Dsdv3 V9 (The same at 9 meters....) Mag9 Fase9 Dsdv9 File Dates tower5min.dat 14-10 99 at 1420 to 29 -10-99 at 1040. 4.- High frequency measurements are averaged every 10 seconds The variable list is Year, month, day, hour, minutes, seconds u 7.4 (South -North wind component at 7.4m) (m/s) v 7.4( West-East wind component ar 7.4m) (m/s) w 7.4 (Vertical wind component at 7.4 m) (m/s) t 7.4 (Temperature at 7.4 m) ( Celsius) u 1.75 (The same as 7.4 m) v 1.75 w 1.75 t 1.75 The file names are File Time (ddmmhhmmss) Dates 13170010sec.dat 13170000-14081950 13-14 Oct. 14170010sec.dat 14170000-15093450 14-15 Oct. 15170010sec.dat 15170000-16093450 15-16 Oct. 16170010sec.dat 16170000-17093450 16-17 Oct. 17170010sec.dat 17170000-18093450 17-18 Oct. 18170010sec.dat 18170000-19093450 18-19 Oct. 19170010sec.dat 19170000-20093450 19-20 Oct. 20170010sec.dat 20170000-21074950 20-21 Oct. 21170010sec.dat 21170000-22055450 21-22 Oct. 22170010sec.dat 22170000-23093450 22-23 Oct. 23170010sec.dat 23170000-24093450 23-24 Oct. 24170010sec.dat 24170000-25074600 24-25 Oct. 25170010sec.dat 25170000-26074950 25-26 Oct. 26170010sec.dat 26170000-27074950 26-27 Oct 5.- A description of the quality control done on the data. The data were despiked using a procedure described in Vickers and Mahrt (1997). In order to remove small-scale variance and noise, the time series of sonic anemometers has been filtered using a wavelet technique, db4, (Daubechies, 1992). Finally the till correction method was applied (Kaimal et al., 1994) If the data do not exists or is incorrect it appears in the appropiate place + 6999 or -6999, it depends of the sensor