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Lidar - CU WindCube V1 Profiler, Wasco Airport - Raw Data
**Overview** Wind and lidar turbulence profiles from 40 m to 220 m above the surface. **Data Quality** These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the -22 dB CNR quality control threshold. **Uncertainty** Line-of-sight measurements are converted to horizontal wind speed by assuming horizontal homogeneity in the measurement volume (as discussed in several publications, including Rhodes and Lundquist 2013 and Lundquist et al. 2015). In inhomogeneous flow, this assumption may not be valid. These instruments were sited to avoid breaking the horizontal inhomogeneity assumption, although the Gordon's Ridge sight may be problematic in this respect.
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Lidar - CU WindCube V1 Profiler, Wasco Airport - Reviewed Data
공공데이터포털
**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR -22 dB are included in these 2-min averaged files.
Lidar - CU WindCube V1 Profiler, Troutdale - Raw Data
공공데이터포털
**Overview** Wind and lidar turbulence profiles from 40 m to 220 m above the surface. **Data Quality** These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the -22 dB CNR quality control threshold. **Uncertainty** Line-of-sight measurements are converted to horizontal wind speed by assuming horizontal homogeneity in the measurement volume (as discussed in several publications, including Rhodes and Lundquist 2013 and Lundquist et al. 2015). In inhomogeneous flow, this assumption may not be valid. These instruments were sited to avoid breaking the horizontal inhomogeneity assumption, although the Gordon's Ridge sight may be problematic in this respect.
Lidar - CU WindCube V2 Profiler, Gordons Ridge - Raw Data
공공데이터포털
**Overview** Wind and lidar turbulence profiles from 40 m to 220 m above the surface. **Data Quality** These two-minute-averaged data files consider the 1 Hz line-of-sight measurements that pass the -22 dB CNR quality control threshold. **Uncertainty** Line-of-sight measurements are converted to horizontal wind speed by assuming horizontal homogeneity in the measurement volume (as discussed in several publications, including Rhodes and Lundquist 2013 and Lundquist et al. 2015). In inhomogeneous flow, this assumption may not be valid. These instruments were sited to avoid breaking the horizontal inhomogeneity assumption, although the Gordon's Ridge sight may be problematic in this respect.
Lidar - ESRL WindCube 200s, Wasco Airport - Reviewed Data
공공데이터포털
**Overview** The available "Readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer () or Sunil Baidar (). It is highly recommended to discuss any planned use of the data with National Oceanic and Atmospheric Administration-Chemical Sciences Division (NOAA-CSD) scientists. For more information, refer to the Readme file: "noaa-esrl-wascolidar-readme-1.pdf." **Data Quality** Refer to the attached "noaa-esrl-wascolidar-readme-1.pdf" Readme file. **Uncertainty** Refer to the attached "noaa-esrl-wascolidar-readme-1.pdf" Readme file. **Constraints** Refer to the attached "noaa-esrl-wascolidar-readme-1.pdf" Readme file.
Lidar - ESRL WindCube 200s, Wasco Airport - Processed Data
공공데이터포털
**Overview** The available "Readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer () or Sunil Baidar (). It is highly recommended to discuss any planned use of the data with National Oceanic and Atmospheric Administration-Chemical Sciences Division (NOAA-CSD) scientists. For more information, refer to the Readme file: "noaa-esrl-wascolidar-readme.docx." **Data Quality** Refer to the attached "noaa-esrl-wascolidar-readme.docx" Readme file. **Uncertainty** Refer to the attached "noaa-esrl-wascolidar-readme.docx" Readme file. **Constraints** Refer to the attached "noaa-esrl-wascolidar-readme.docx" Readme file.
Lidar - CU WindCube V1 Profiler, Troutdale - Reviewed Data
공공데이터포털
**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR -22 dB are included in these 2-min averaged files.
Lidar - CU WindCube V2 Profiler, Gordons Ridge - Reviewed Data
공공데이터포털
**Overview** These profiling lidar datasets collect profiles of wind speed and wind direction from nominally 40 m above the surface to 220 m above the surface, depending on visibility. **Data Quality** Only data points with CNR -22 dB are included in these 2-min averaged files.
Ceilometer - ND Ceilometer, Wasco Airport - Raw Data
공공데이터포털
**Overview** Measurements of cloud base height and vertical visibility using pulsed infrared (910 nm) diode laser LIDAR technology. The instrument can detect up to three cloud layers simultaneously. **Data Details** Measurements taken in the standard measuring mode, where the CL31 ceilometer digitally samples the return signal every 67 ms from 0 to 50 microseconds, provide a spatial resolution of 10 m with data-averaged messages received every two seconds. The reporting interval is 16 seconds. Data are saved in 7-bit US-ASCII format files of type *.DAT through the Vaisala software CL-VIEW then decoded offline into files of type *.xlsx using the same software. Refer to *Vaisala Graphical User Interface for Ceilometers CL-VIEW User's Guide* (software manual) or *Vaisala Ceilometer CL31 User's Guide* (instrument manual). Both *.DAT and *.xlsx data files are provided in the DAP, along with a graphical presentation (.png file) of the cloud intensity versus altitude over 24-hour periods. **IMPORTANT NOTE**: Graphics are for illustrative purpose only and may include invalid data. The description provided in "Primary Measurements/Variables" refers to the *.xlsx type. For explanatory purposes, a typical data file of type *.xlsx also is attached. Note that each file (both *.DAT and *.xlsx) contains 24-hour data—unless an instrument failure occurred. In this case, there may be two partial files per type (or more in cases of multiple failures within 24 hours) that contain the data collected prior and after the failure, respectively. * Instrument Location: Wasco, OR * Latitude: 45˚ 35.400’ N * Longitude: 120˚ 40.317’ W * Elevation (meters): 442 m **Data Quality** Automated quality control (QC) is performed via the instrument software and already is applied to the data provided to the DAP. These data files contain error values (column called “status” in the .*xlsx files). A "0" signifies that no error has happened. Definitions of the different error groups are provided in the *Vaisala Ceilometer CL31 User's Guide* (PDF attachment).
Radar - ESRL Wind Profiler with RASS, Wasco Airport - Derived Data
공공데이터포털
**Overview** Profiles of turbulence dissipation rate for 15-minute intervals, time-stamped at the beginning of the 15-minute period, during the final 30 minutes of each hour. During that time, the 915-MHz wind profiling radar was in an optimized configuration with a vertically pointing beam only for measuring accurate spectral widths of vertical velocity. A bias-corrected dissipation rate also was profiled (described in McCaffrey et al. 2017). Hourly files contain two 15-minute profiles.
Radar - ESRL Wind Profiler with RASS, Wasco Airport - Raw Data
공공데이터포털
**Overview** **Winds** A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities are remotely sensed along all beam directions and combined to derive the horizontal wind field over the radar. These data typically are sampled and averaged hourly and usually have 6-m and/or 100-m vertical resolutions up to 4 km for the 915 MHz and 8 km for the 449 MHz systems. **Temperature** To measure atmospheric temperature, a radio acoustic sound system (RASS) is used in conjunction with the wind profile. These data typically are sampled and averaged for five minutes each hour and have a 60-m vertical resolution up to 1.5 km for the 915 MHz and 60-m up to 3.5k m for the 449 MHz. **Data Quality** Various quality control (QC) algorithms developed over the years process data in real time on the radar software layer. These algorithms, which run in real time, act on time-series, spectra, moment, and consensus data layers that are persisted in various forms. For a detailed description, refer to the attached QC document: *915 and 449 MHz Radar Wind Profilers and RASS QC*.