**Overview** The dataset includes 15-minute average wind speed and direction records from 10 m to 250 m above ground level (AGL) in 5-m range gates. Data were collected by a Scintec SFAS wind profiler installed at the Condon State Airport in Oregon, about 1.8 km northeast of the center of Condon, Ore., and are intended for validating WFIP2 model improvements. **Data Details** Instrument location: * N 45° 14’ 41.58” (N 45.244885) * W 120° 10’ 06.58” (W 120.168495) Instrument clock and computer system time set to UTC. **Data Quality** The Scintec SFAS wind profiler instrument installed at the Decker Ranch is capable of measuring at heights up to 500 m. For this study, the maximum height was set to 250 m. The instrument was oriented to true north, so no corrections to the wind direction should be made. Scintec wind profilers come with the APRun software package, which performs data collection and quality control (QC), among other functions. Version 1.46 of APRun was used in this study. The APRun manual states: *The primary results are checked against local signal quality criteria, combined signal quality criteria and two-dimensional spatial/temporal consistency tests. Any data that does not pass all quality control tests is devalidated and removed*. Devalidation means replacing the value with an error value, usually a series of ‘9’s, such as 99.99 or 999.99. Not all devalidated data are actually removed from the *.mnd files, so the user must filter them out. There are some error flags that indicate the type of error, but these are not included in the *.mnd files, and we have no access to them. Because QC already has been performed by APRun, our QC procedures consisted of removing samples with error values and performing a visual inspection of the data to see if larger patterns indicated any kind of problem. There are 515 gaps of two hours or less and 26 gaps of more than two hours. The longest gaps are: * 47.78 days, from 2016-03-16 18:00Z to 2016-05-03 12:45Z * 40.20 days, from 2016-06-04 13:15Z to 2016-07-14 18:00Z All gaps that exceed two hours are listed in file: Condon_gaps.txt.

**Overview** The dataset includes 15-minute average wind speed and direction records from 30 m to 330 m above ground level (AGL) in 10-m range gates. Data were collected by a Scintec MFAS wind profiler installed at the Decker Ranch in Oregon, about 4.4 km southeast of Kent, Ore., and are intended for validating WFIP2 model improvements. **Data Details** Instrument location: * N 45°09'54.42" (N 45.165117) * W120°39'20.87" (W 120.655799) Instrument clock and computer system time set to UTC. **Data Quality** The Scintec MFAS wind profiler instrument installed at the Decker Ranch is capable of measuring at heights up to 1000 m. For this study, the maximum height was set to 330 m. The instrument was oriented to true north, so no corrections to the wind direction should be made. Scintec wind profilers come with the APRun software package, which performs data collection and quality control (QC), among other functions. Version 1.46 of APRun was used in this study. The APRun manual states: *The primary results are checked against local signal quality criteria, combined signal quality criteria and two-dimensional spatial/temporal consistency tests. Any data that does not pass all quality control tests is devalidated and removed*. Devalidation means replacing the value with an error value, usually a series of ‘9’s, such as 99.99 or 999.99. Not all devalidated data are actually removed from the *.mnd files, so the user must filter them out. There are some error flags that indicate the type of error, but these are not included in the *.mnd files, and we have no access to them. Because QC already has been performed by APRun, our QC procedures consisted of removing samples with error values and performing a visual inspection of the data to see if larger patterns indicated any kind of problem. There are 623 gaps of two hours or less and 61 gaps of more than two hours. The longest gap is 15.31 days, from 2016-12-07 03:00Z to 2016-12-22 10:30Z. All gaps that exceed two hours are listed in file: Decker_Ranch_gaps.txt.

**Overview** The dataset includes 15-minute average wind speed and direction records from 30 m to 330 m above ground level (AGL) in 10-m range gates. Data were collected by a Scintec MFAS wind profiler installed at the Decker Ranch in Oregon, about 4.4 km southeast of Kent, Ore., and are intended for validating WFIP2 model improvements. **Data Details** Instrument location: * N 45°09'54.42" (N 45.165117) * W120°39'20.87" (W 120.655799) Instrument clock and computer system time set to UTC. **Data Quality** The Scintec MFAS wind profiler instrument installed at the Decker Ranch is capable of measuring at heights up to 1000 m. For this study, the maximum height was set to 330 m. The instrument was oriented to true north, so no corrections to the wind direction should be made. Scintec wind profilers come with the APRun software package, which performs data collection and quality control (QC), among other functions. Version 1.46 of APRun was used in this study. The APRun manual states: *The primary results are checked against local signal quality criteria, combined signal quality criteria and two-dimensional spatial/temporal consistency tests. Any data that does not pass all quality control tests is devalidated and removed*. Devalidation means replacing the value with an error value, usually a series of ‘9’s, such as 99.99 or 999.99. Not all devalidated data are actually removed from the *.mnd files, so the user must filter them out. There are some error flags that indicate the type of error, but these are not included in the *.mnd files, and we have no access to them. Because QC already has been performed by APRun, our QC procedures consisted of removing samples with error values and performing a visual inspection of the data to see if larger patterns indicated any kind of problem. There are 623 gaps of two hours or less and 61 gaps of more than two hours. The longest gap is 15.31 days, from 2016-12-07 03:00Z to 2016-12-22 10:30Z. All gaps that exceed two hours are listed in file: Decker_Ranch_gaps.txt.

**Overview** These data provide vertical mean profiles of wind and direction (30 min time step and 10 m range gate). **Data Details** Data averaged over an interval of 30 minutes. Wind Direction is from Geographic North. Time stamp is included in each data file. Location: John Day/Rufus Water Treatment Plant (45.690842,-120.745751). Site Elevation: 62 m. **Data Quality** Data quality procedure applied to this dataset is through the Sodar Operation software/firmware (APRun 1.48 by Scintec). APRun calculates wind speed, temperature, and all other output data from the raw data received from the device server during measurement. Raw data contain raw received signal data (Fourier power spectra) obtained during measurement. The raw data are filtered, preprocessed, and averaged over one full averaging interval (30 minutes). Various corrections and filters are applied, such as ground clutter detection and removal. All signals of the different subcycles, measurement beams, and acoustic frequencies are decoded and combined according to a composition matrix (Composit Construction Table). A pattern recognition and fit procedure obtains primary results for wind components and signal quality scores. The primary results are checked against local signal quality criteria, combined signal quality criteria, and two-dimensional spatial/temporal consistency tests. Any data that do not pass all quality control tests are invalidated and removed, i.e., the output files contain error values (e.g., 99.999). APRun also applies a declination angle correction based on the antenna azimuth angle [deg] provided by the user. The antenna azimuth angle is provided in the header of each data file. For more details, refer to the *Scintec Flat Array Sodar – Software Manual APRun Version 1.27*.

**Overview** The data provide vertical mean profiles of wind and temperature. **Data Details** * Data averaged over an interval of 30 minutes. * Time stamp is included in each data file. * Location: John Day/Rufus Water Treatment Plant (45.690842,-120.745751). * Site Elevation: 62 m. **Data Quality** The only data quality procedure applied to this dataset is through the Sodar Operation Software (APRun). APRun calculates wind speed, temperature, and all other output data from the raw data received from the device server during measurement. Raw data contain raw received signal data (Fourier power spectra) obtained during measurement. The raw data are filtered, preprocessed, and averaged over one full averaging interval (30 minutes). Various corrections and filters are applied, such as ground clutter detection and removal. All signals of the different subcycles, measurement beams, and acoustic frequencies are decoded and combined according to a composition matrix (Composit Construction Table). A pattern recognition and fit procedure obtains primary results for wind components and signal quality scores. The primary results are checked against local signal quality criteria, combined signal quality criteria, and two-dimensional spatial/temporal consistency tests. Any data that do not pass all quality control tests are de-validated and removed, i.e., the output files contain error values (e.g., 99.999). For more details, refer to the *Sodar APRun Software Manual*. **Constraints** * The instrument is aligned to magnetic North. * Correction for the magnetic declination (15 degrees E) was not accounted for the data until March 12, 2016 and was corrected thereafter. This information is included in header of each data file under the field <>. This angle is erroneously left equal to zero in the data files until March 12. Data after March 12 have the correct antenna azimuth angle of 15 degrees. An example of both types of data files is provided. Note that the file header also includes the field <>, which is left to default value (i.e., zero [m]) for most of the dataset. This height value does not affect the actual data because it is only used by the APRun sodar software for visualization purposes.

**Overview** Provide measurements of wind speed and direction up to 400 m AGL (max). The data are stored in 2 forms: ASCII and raw (binary). ASCII files contain averaged data (currently -- 15 min time step and 10 m range gate); raw files could be reprocessed with the sodar software (APRun by Scintec) to produce ASCII files with different time and/or height averaging settings (highest resolution is approx. 90 sec and 10 m). **Data Quality** No QC checks beyond implemented in the sodar software/firmware (APRun 1.46 by Scintec)

**Overview** These data provide measurements of wind speed and direction up to 400 m above ground level (AGL) (max). The data are stored in two forms: ASCII and raw (binary). ASCII files contain averaged data (currently: 15 min time step and 10 m range gate). Raw files can be reprocessed with sodar software (APRun by Scintec) to produce ASCII files with different time and/or height averaging settings (highest resolution is approximately 90 sec and 10 m). NOTE: Wind direction is reported with respect to magnetic North. **Data Quality** No quality control (QC) checks beyond those implemented in the sodar software/firmware, APRun 1.46 by Scintec.

**Overview** This dataset was produced from the raw sodar .txt files from the Jayton, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind resource characterization at this location. **Data Details** Location: 33.01, -100.98 Elevation: 707 m Output heights: Every 10 meters from 30 meters to 200 meters **Data Quality** Data from the raw files were filtered according to the following automated and manual procedures. Missing and rejected values were flagged as -999. High precipitation events as suggested by the vertical velocity values were subjected to quality control. If any vertical velocity value at any height for a given timestamp fell below a -1.5 m/s threshold, all variables at all heights at that timestamp were rejected. On a height-by-height basis, if the signal-to-noise ratio (SNR) for any of the u, v, or w wind components reached 10 or below, all variables for that height and timestamp were rejected. The raw files were also screened for nonphysical values such as wind speeds less than zero and directions outside 0-360 degrees. Finally, the data were visually examined for events of atypical sodar retrievals, such as excessive magnitudes in oscillations or periods of stagnancy.

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minutes. The eight Tritons are located at various sites around the WFIP2 study area. **Data Details** Regarding the minimum requirements for the site description, a Keyhole Markup Language (KML) file is attached with all of the AON Triton locations. Unfortunately, there are no photos of the sites. The layout of each site is simple. At all locations, the Triton Wind Profiler is placed on the ground with the solar panel facing due south. Each unit is solar powered and communicates its data via satellite, so there are no cables of any kind. Also, the specified start and end dates are for the entire AON network. Some individual units start later or end earlier. All start/end dates for the individual units are given as follows: AON1 (z17): 10/1/2015 -- 7/31/2017 AON2 (z14): 10/1/2015 -- 7/31/2017 AON3 (z18): 10/1/2015 -- 7/31/2017 AON4 (z12): 12/5/2015 -- 7/31/2017 AON5 (z06): 10/1/2015 -- 7/31/2017 AON6 (z05): 10/1/2015 -- 7/31/2017 (w/gap 2016-08-01 -- 2016-09-28) AON7 (z02): 10/1/2015 -- 7/31/2017 (w/gap 2016-07-01 -- 2016-11-18) AON8 (z01): 12/7/2015 -- 4/9/2016 AON9 (z20): 11/19/2016 -- 7/31/2017 **Data Quality** The Triton firmware has a quality assessment algorithm that assigns a quality factor (“quality”) to each time/height measurement of wind, expressed as a percent value in the range 0-100. In addition, the upward Doppler velocity (“vert”) is measured and can be used as an indicator of falling precipitation, which negatively affects data quality. Two automated procedures are applied in real time as these data (level 00) are sent to the DAP. Data are set to a missing value (null in the CSV file) when either “quality” < 90% or “vert” < -1.5 m/s. Because the data level is from a real-time feed, no manual quality control (QC) has been performed. Periods of missing data are likely due to real-time glitches, many of which will be filled in once the final data retrieval and QC process are performed (level b0). Finally, for the first few months of the study, the variables provided in the real-time (level "00") files differ slightly than what is specified on this metadata web page. The header line in the earlier CSV files is fairly self-explanatory in defining the variables and units. **Uncertainty** When compared to nearby towers instrumented with cup anemometers and wind vanes, the root mean square (RMS) difference in 10-minute wind speed between the Triton and met tower typically is around 0.5 m s-1. When tested at 30 different sites in a recent validation study, the RMS difference in long-term mean wind speed between the Triton and met tower is 1.3%. **Constraints** Various meteorological and environmental conditions can lead to either weaker returns or enhanced noise, resulting in a poor measurement. The higher the target point, the more difficult it is to retrieve a strong signal. Hence, a common situation is that good data will be obtained up to some height yet not above it. The percentage of time that good data are recovered at a particular height is the data recovery rate. In a recent validation study, data recovery rates were around 98% at lower heights, slowly dropping off to 96% at 100 m, 83% at 160 m, and 70% at 200 m.

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minutes. The eight Tritons are located at various sites around the WFIP2 study area. **Data Details** Regarding the minimum requirements for the site description, a Keyhole Markup Language (KML) file is attached with all of the AON Triton locations. Unfortunately, there are no photos of the sites. The layout of each site is simple. At all locations, the Triton Wind Profiler is placed on the ground with the solar panel facing due south. Each unit is solar powered and communicates its data via satellite, so there are no cables of any kind. Also, the specified start and end dates are for the entire AON network. Some individual units start later or end earlier. All start/end dates for the individual units are given as follows: AON1 (z17): 10/1/2015 -- 7/31/2017 AON2 (z14): 10/1/2015 -- 7/31/2017 AON3 (z18): 10/1/2015 -- 7/31/2017 AON4 (z12): 12/5/2015 -- 7/31/2017 AON5 (z06): 10/1/2015 -- 7/31/2017 AON6 (z05): 10/1/2015 -- 7/31/2017 (w/gap 2016-08-01 -- 2016-09-28) AON7 (z02): 10/1/2015 -- 7/31/2017 (w/gap 2016-07-01 -- 2016-11-18) AON8 (z01): 12/7/2015 -- 4/9/2016 AON9 (z20): 11/19/2016 -- 7/31/2017 **Data Quality** The Triton firmware has a quality assessment algorithm that assigns a quality factor (“quality”) to each time/height measurement of wind, expressed as a percent value in the range 0-100. In addition, the upward Doppler velocity (“vert”) is measured and can be used as an indicator of falling precipitation, which negatively affects data quality. Two automated procedures are applied in real time as these data (level 00) are sent to the DAP. Data are set to a missing value (null in the CSV file) when either “quality” < 90% or “vert” < -1.5 m/s. Because the data level is from a real-time feed, no manual quality control (QC) has been performed. Periods of missing data are likely due to real-time glitches, many of which will be filled in once the final data retrieval and QC process are performed (level b0). Finally, for the first few months of the study, the variables provided in the real-time (level "00") files differ slightly than what is specified on this metadata web page. The header line in the earlier CSV files is fairly self-explanatory in defining the variables and units. **Uncertainty** When compared to nearby towers instrumented with cup anemometers and wind vanes, the root mean square (RMS) difference in 10-minute wind speed between the Triton and met tower typically is around 0.5 m s-1. When tested at 30 different sites in a recent validation study, the RMS difference in long-term mean wind speed between the Triton and met tower is 1.3%. **Constraints** Various meteorological and environmental conditions can lead to either weaker returns or enhanced noise, resulting in a poor measurement. The higher the target point, the more difficult it is to retrieve a strong signal. Hence, a common situation is that good data will be obtained up to some height yet not above it. The percentage of time that good data are recovered at a particular height is the data recovery rate. In a recent validation study, data recovery rates were around 98% at lower heights, slowly dropping off to 96% at 100 m, 83% at 160 m, and 70% at 200 m.