edu.ucar.opensky::articles:25566 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T22:42:28.038952 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7mk6hnk https://doi.org/10.21947/1356316 https Related Dataset #1 Surface Meteorological Station - ARL 10m, Boardman - Reviewed Data https://doi.org/10.21947/1356329 https Related Dataset #2 Sodar - ARL Wind Profiler, Prineville - Reviewed Data https://doi.org/10.21947/1356333 https Related Dataset #3 Sodar - ARL Wind Profiler, Wasco Airport - Reviewed Data https://doi.org/10.21947/1356340 https Related Dataset #4 Sodar - ARL Wind Profiler, Boardman - Reviewed Data https://doi.org/10.21947/1401997 https Related Dataset #5 Surface Meteorological Station - ESRL Short Tower, Condon - Reviewed Data https://doi.org/10.21947/1401998 https Related Dataset #6 Surface Meteorological Station - ESRL Short Tower, Prineville - Reviewed Data https://doi.org/10.21947/1405131 https Related Dataset #7 Model: Year-Long Reforecast, Coldstart, type ICBC, Domain 02 https://doi.org/10.21947/1410570 https Related Dataset #8 Lidar - CU WindCube V2 Profiler, Gordons Ridge - Reviewed Data https://doi.org/10.21947/1412521 https Related Dataset #9 Surface Meteorological Station - ESRL Short Tower, Wasco Airport - Reviewed Data https://doi.org/10.21947/1412525 https Related Dataset #10 Microwave Radiometer - ESRL Radiometrics MWR, Wasco Airport - Reviewed Data https://doi.org/10.21947/1412526 https Related Dataset #11 Radar - ESRL Wind Profiler with RASS, Wasco Airport - Reviewed Data https://doi.org/10.21947/1412527 https Related Dataset #12 Radar - ANL Wind Profiler with RASS, Goldendale - Reviewed Data https://doi.org/10.21947/1412528 https Related Dataset #13 Radar - ESRL Wind Profiler with RASS, Condon - Reviewed Data https://doi.org/10.21947/1412529 https Related Dataset #14 Radar - ARL Wind Profilerwith RASS, Boardman - Reviewed Data https://doi.org/10.21947/1412531 https Related Dataset #15 Radar - ESRL Wind Profiler with RASS, Prineville - Reviewed Data https://doi.org/10.21947/1418162 https Related Dataset #16 Sodar - NREL Scintex SFAS Wind Profiler, Condon - Reviewed Data https://doi.org/10.21947/1425897 https Related Dataset #17 Surface Meteorological Station - ANL 10m tower, Goldendale - Reviewed Data https://doi.org/10.21947/1491475 https Related Dataset #18 Sodar - ANL Wind Profiler, Goldendale - Reviewed Data https://doi.org/10.21947/1523403 https Related Dataset #19 Log - Project Event Log & Common Case Study Set - Raw Data https://doi.org/10.21947/1523495 https Related Dataset #20 Surface Meteorological Station - UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 - Reviewed Data Improved representation of horizontal variability and turbulence in mesoscale simulations of an extended cold-air pool event 2022-06-01T00:00:00Z publication https://n2t.org/ark:/85065/d7mk6hnk https://doi.org/10.1175/JAMC-D-21-0138.1 Arthur, R. S. author Juliano, Timothy W. author Adler, B. author Krishnamurthy, R. author Lundquist, J. K. author Kosović, Branko author Jiménez Munoz, Pedro A. author UCAR/NCAR - Library publisher Cold-air pools (CAPs), or stable atmospheric boundary layers that form within topographic basins, are associated with poor air quality, hazardous weather, and low wind energy output. Accurate prediction of CAP dynamics presents a challenge for mesoscale forecast models in part because CAPs occur in regions of complex terrain, where traditional turbulence parameterizations may not be appropriate. This study examines the effects of the planetary boundary layer (PBL) scheme and horizontal diffusion treatment on CAP prediction in the Weather Research and Forecasting (WRF) Model. Model runs with a one-dimensional (1D) PBL scheme and Smagorinsky-like horizontal diffusion are compared with runs that use a new three-dimensional (3D) PBL scheme to calculate turbulent fluxes. Simulations are completed in a nested configuration with 3-km/750-m horizontal grid spacing over a 10-day case study in the Columbia River basin, and results are compared with observations from the Second Wind Forecast Improvement Project. Using event-averaged error metrics, potential temperature and wind speed errors are shown to decrease both with increased horizontal grid resolution and with improved treatment of horizontal diffusion over steep terrain. The 3D PBL scheme further reduces errors relative to a standard 1D PBL approach. Error reduction is accentuated during CAP erosion, when turbulent mixing plays a more dominant role in the dynamics. Last, the 3D PBL scheme is shown to reduce near-surface overestimates of turbulence kinetic energy during the CAP event. The sensitivity of turbulence predictions to the master length-scale formulation in the 3D PBL parameterization is also explored. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2022 American Meteorological Society. None eng geoscientificInformation