**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by the data logger at each site via a cellular modem. The data collected will be made available to the National Oceanic and Atmospheric Administration (NOAA) each hour and used to support the short-term forecasting project by providing an independent evaluation of the added value of new data to meteorological forecasts. Each meteorological station consists of a solar-powered data acquisition system and wind speed, wind direction, temperature, humidity, barometric pressure, and solar radiation sensors on a 3-meter tower. Specifically, the stations comprise the following instruments and equipment: * Campbell Scientific CM10 Tripod * Campbell Scientific CR10X Measurement and Control System * R.M. Young 05106 Wind Monitor * Vaisala HMP45C Temperature and Humidity Probe * Vaisala PTB101B Barometric Pressure Sensor * Li-Cor LI200X Pyranometer The data logger is used to sample, at 1-second intervals, the horizontal wind speed and direction at 3 meters above ground level (AGL); the air temperature, relative humidity, barometric pressure, and solar radiation at 2 meters AGL; and the logger temperature and power supply. The logger outputs the 1-minute averages of these measurements to final storage and power on the cellular modem, so the data can be retrieved and downloaded to a base-station computer. The data are archived as 1-hour comma-delimited ASCII files (see "Table 2. Format of the WFIP2 Comma-delimited ASCII Data Files" in **wfip2-met-data.pdf**). All dates and times in the file names and data records are in UTC (Coordinated Universal Time) and denote the end of the 1-minute average. Data known to be of bad quality have been replaced with "-9999." **Data Quality** Data for each primary measurement at every site are automatically plotted daily and reviewed about every three days. Instrument outages or events are reported with the Instrument and Model Data Problem Log at: . Data known to be of bad quality have been replaced with "-9999." **Constraints** None

**Overview** In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. **Data Details** A PNNL computer is used as the base station to download the meteorological data acquired by the data logger at each site via a cellular modem. The data collected will be made available to the National Oceanic and Atmospheric Administration each hour and used to support the short-term forecasting project by providing an independent evaluation of the added value of new data to meteorological forecasts. Each meteorological station consists of a solar-powered data acquisition system and wind speed, wind direction, temperature, humidity, barometric pressure, and solar radiation sensors on a 3-m tower. Specifically, the stations are comprised of the following instruments and equipment: * Campbell Scientific CM6 Tripod * Campbell Scientific CR10X Measurement and Control System * R.M. Young 05106 Wind Monitor * Vaisala HMP45C Temperature and Humidity Probe * Vaisala PTB101B Barometric Pressure Sensor * Li-Cor LI200X Pyranometer * RavenXT Cellular Modem The data logger is used to sample, at 1-second intervals, the horizontal wind speed and direction at 3 meters above ground level (AGL); the air temperature, relative humidity, barometric pressure, and solar radiation at 2 meters AGL; and the logger temperature and power supply. The logger outputs the 1-minute averages of these measurements to final storage and power on the cellular modem, so the data can be retrieved and downloaded to a base station computer. The data are archived as 1-hour comma-delimited ASCII files (see "Table 2. Format of the WFIP2 Comma-delimited ASCII Data Files" in **wfip2-met-data.pdf**). All dates and times in the file names and data records are in UTC and denote the end of the 1-minute average. **Data Quality** Data for each primary measurement at every site are automatically plotted daily and reviewed about every three days. Instrument outages or events are reported with the Instrument and Model Data Problem Log at: .

**Overview** This set provides estimation of the turbulent fluxes obtained with EddyPro v6.2.0 software (15-min averaging). **Data Details** Each meteorological station had one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) was verified by the analog inclinometer mounted on the base plate alongside the sonic anemometer. NOTE: the sonic anemometer has been oriented to the magnetic North. The serial data stream was transmitted via radio link (9XTend RF modem by MaxStream) to the data acquisition computer housed in a temperature-controlled enclosure at the base of the 80-m tower. The original data were stored in flat ASCII files in 30-min pieces (".00." level). The raw data were preprocessed to conform with EddyPro software. All evidently erroneous and/or broken lines were marked as bad. All erroneous or missed data were replaced with "baddata" place holder (99.99), the housekeeping data were stripped off, and the data were split into 5-min portions with no internal time stamp. The preprocessed data are available from the archive as “.a0” level data. The current dataset is the result of processing the preprocessed data (“.a0”) with EddyPro v6.2.0 for 15-minute intervals. The dataset contains results and metadata that should fully cover all software settings and options used in data processing. **Data Quality** Beyond the Quality Control (QC) procedures implemented in EddyPro, nothing additional is included.

**Overview** This dataset provides fast response wind and virtual sonic temperature data. **Data Details** Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been verified by the analog inclinometer mounted on the base plate alongside the sonic anemometer. The sonic anemometer has been oriented to magnetic North. The serial data stream is transmitted via radio link (9XTend RF modem by MaxStream) to the data acquisition computer housed in a temperature-controlled enclosure at the base of the 80-m tower. The original data were stored in flat ASCII files in 30-min pieces (".00." level). The current version of the data is ".a0." level. All evidently erroneous and/or broken lines were marked as bad and/or replaced with a "baddata" place holder, the housekeeping data were stripped off, and the data were split into 5-min portions with no internal time stamp. The data have been prepared for processing with EddyPro and stored in ASCII comma delimited files formatted as follows: u,v,w,T,qc where: * "u, v, w" are the three wind components (m/s) * "T" is the sonic virtual temperature (C) * "qc" is basic quality control code: 0 - OK, 1 - sonic bad data code, 2 - broken data line, and 3 - missed line. Baddata place holder is 99.99 **NOTE**: No attempt has been made to fill gaps in the data. **Data Quality** * Includes raw data with basic quality control (QC) applied. * All housekeeping fields removed.

**Overview** This dataset provides fast response wind and virtual sonic temperature data. **Data Details** Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been verified by the analog inclinometer mounted on the base plate alongside the sonic anemometer. The sonic anemometer has been oriented to magnetic North. The serial data stream is transmitted via radio link (9XTend RF modem by MaxStream) to the data acquisition computer housed in a temperature-controlled enclosure at the base of the 80-m tower. The original data were stored in flat ASCII files in 30-min pieces (".00." level). The current version of the data is ".a0." level. All evidently erroneous and/or broken lines were marked as bad and/or replaced with a "baddata" place holder, the housekeeping data were stripped off, and the data were split into 5-min portions with no internal time stamp. The data have been prepared for processing with EddyPro and stored in ASCII comma delimited files formatted as follows: u,v,w,T,qc where: * "u, v, w" are the three wind components (m/s) * "T" is the sonic virtual temperature (C) * "qc" is basic quality control code: 0 - OK, 1 - sonic bad data code, 2 - broken data line, and 3 - missed line. Baddata place holder is 99.99 **NOTE**: No attempt has been made to fill gaps in the data. **Data Quality** * Includes raw data with basic quality control (QC) applied. * All housekeeping fields removed.

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the surface MET stations have had few data quality issues. The final dataset provided to the DAP will have all outliers or problematic data removed using automated and visual processes, including minimum/maximum checks, in a similar process as is used for ARM MET data. **Uncertainty** The uncertainties of the MET measurements are taken to be the accuracy of the individual measurements as specified by the instrument manufacturers. **Constraints** There are no constraints on MET measurements concerning acceptable wind directions or meteorological conditions.

**Overview** Basic meteorological measurements. **Data Quality** The Argonne National Laboratory Surface Meteorology Systems (MET) measurements collected at collocated radar wind profiler sites are visually inspected weekly for data outliers or instrument problems. Of note, the surface MET stations have had few data quality issues. The final dataset provided to the DAP will have all outliers or problematic data removed using automated and visual processes, including minimum/maximum checks, in a similar process as is used for ARM MET data. **Uncertainty** The uncertainties of the MET measurements are taken to be the accuracy of the individual measurements as specified by the instrument manufacturers. **Constraints** There are no constraints on MET measurements concerning acceptable wind directions or meteorological conditions.

**Overview** This dataset provides fast response wind and virtual sonic temperature data. **Data Details** Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been verified by the analog inclinometer mounted on the base plate alongside the sonic anemometer. The sonic anemometer has been oriented to magnetic North. The serial data stream is transmitted via radio link (9XTend RF modem by MaxStream) to the data acquisition computer housed in a temperature-controlled enclosure at the base of the 80-m tower. The original data were stored in flat ASCII files in 30-min pieces (".00." level). The current version of the data is ".a0." level. All evidently erroneous and/or broken lines were marked as bad and/or replaced with a "baddata" place holder, the housekeeping data were stripped off, and the data were split into 5-min portions with no internal time stamp. The data have been prepared for processing with EddyPro and stored in ASCII comma delimited files formatted as follows: u,v,w,T,qc where: * "u, v, w" are the three wind components (m/s) * "T" is the sonic virtual temperature (C) * "qc" is basic quality control code: 0 - OK, 1 - sonic bad data code, 2 - broken data line, and 3 - missed line. Baddata place holder is 99.99 **NOTE**: No attempt has been made to fill gaps in the data. **Data Quality** * Includes raw data with basic quality control (QC) applied. * All housekeeping fields removed.

**Overview** This dataset provides fast response wind and virtual sonic temperature data. **Data Details** Each meteorological (met) station has one sonic anemometer (Gill R3-50, omnidirectional) mounted on top of a 10-m tower. Sensor verticality (within a degree) has been verified by the analog inclinometer mounted on the base plate alongside the sonic anemometer. The sonic anemometer has been oriented to magnetic North. The serial data stream is transmitted via radio link (9XTend RF modem by MaxStream) to the data acquisition computer housed in a temperature-controlled enclosure at the base of the 80-m tower. The original data were stored in flat ASCII files in 30-min pieces (".00." level). The current version of the data is ".a0." level. All evidently erroneous and/or broken lines were marked as bad and/or replaced with a "baddata" place holder, the housekeeping data were stripped off, and the data were split into 5-min portions with no internal time stamp. The data have been prepared for processing with EddyPro and stored in ASCII comma delimited files formatted as follows: u,v,w,T,qc where: * "u, v, w" are the three wind components (m/s) * "T" is the sonic virtual temperature (C) * "qc" is basic quality control code: 0 - OK, 1 - sonic bad data code, 2 - broken data line, and 3 - missed line. Baddata place holder is 99.99 **NOTE**: No attempt has been made to fill gaps in the data. **Data Quality** * Includes raw data with basic quality control (QC) applied. * All housekeeping fields removed.

**Overview** The data included features wind, temperature, and turbulence measurements. **Data Details** Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 Hz), and temperature/relative humidity probes, Rotronics HC2S3 (sampling frequency = 1 Hz). The HC2S3 probes were housed in radiation shields to protect them from thermal radiation, and they were adequately ventilated. Moreover, an infrared gas analyzer (LI-7500 Open Path CO~2/H~2~O Analyzer) was collocated at 3-meter height at met.z18 (sampling frequency = 20 Hz) in a second phase of the experiment (June 2016). Raw data are collected by Campbell CR3000 dataloggers and successively parsed into 15-minutes data files. For each met station, multiple data files are outputted with each data file corresponding to a certain type of instrument and a specific measurement height. The types of instrument and measurement heights are specified by the name of the data file itself. For example, met station met.z19 consists of sonic anemometers measurements at 3-, 10-, and 17-meter height and temperature/relative humidity measurements at 3- and 17-meter height. Therefore, the following data files are outputted: 3m sonic anemometer sample file name: met.z19.00.20160502.171500.son03m.dat 10m sonic anemometer sample file name: met.z19.00.20160502.171500.son10m.dat 17m sonic anemometer sample file name: met.z19.00.20160502.171500.son17m.dat 3m T-RH sensor sample file name: met.z19.00.20160502.171500.trh03m.dat 17m T-RH sensor sample file name: met.z19.00.20160502.171500.trh17m.dat Note that in the "Primary Measurements/Variables" section, the variables sonic_u-wind, sonic_v-wind, sonic_w-wind represent the orthogonal u, v, and w wind velocities outputted by the sonic RM Young 81000, oriented with u-axis aligned east-west and v-axis aligned north-south. In this orientation, +u values = wind from the east, and +v values = wind from the north. Wind from below (updraft) = +w. Instruments' manuals and dataset samples are provided as attachments. **Data Quality** Raw data: no quality control (QC) is applied. Data are visually inspected at least weekly. **Uncertainty** 1. RM Young 81000 Ultrasonic Anemometer Measurements * Anything that blocks the acoustic signal path will degrade the measurement. * If the path is blocked sufficiently, measurements cannot be made. The RM Young 81000 can make accurate measurements in driving rain, but light mist or heavy fog can allow droplets to accumulate on the transducer faces and block the measurement. * Measurements may be made in driving snow, although frost and snow that adheres to the transducer face may block the measurement. Similarly, freezing rain on the transducer face may block the measurement. 2. Rotronics HC2S3 Temperature and Relative Humidity Measurement * This sensor requires minimal maintenance, but dust, debris, and salts on the filter cap may degrade sensor performance. Because of the remote location and difficulties in climbing the met towers, no maintenance of these sensors was performed during the field experiment. 3. Licor LI-7500 Measurement * The LI-7500 optical windows should be cleaned when necessary (by checking the diagnostic values). * Rain, snow, fog, condensation, or dust deposition on the optical path of the instrument may affect the gas analyzer's performance and lead to less consistent/missing measurements. Because of the remote location and difficulties in climbing the met towers, no maintenance of these sensors was performed during the field experiment.