TY - JOUR
T1 - Three-Dimensional Planetary Boundary Layer Parameterization for High-Resolution Mesoscale Simulations
AU - Kosović, B.
AU - Jimenez Munoz, P.
AU - Juliano, T. W.
AU - Martilli, A.
AU - Eghdami, M.
AU - Barros, A. P.
AU - Haupt, S. E.
N1 - Funding Information:
This research was funded by the United States Department of Energy, Energy Efficiency and Renewable Energy Office award DE-EE-0006898. We would like to acknowledge high-performance computing supportfromCheyenne (doi:10.5065/D6RX99HX) providedybCNAR's Computational and Information Systems Laboratory, sponsored by the National Science Foundation. The authors would like to thank Joseph Olson and Jian-Wen Bao for useful discussions.
Publisher Copyright:
© 2020 IOP Publishing Ltd. All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/3/3
Y1 - 2020/3/3
N2 - Wind energy applications including wind resource assessment, wind power forecasting, and wind plant optimization require high-resolution mesoscale simulations. High resolution mesoscale simulations are essential for accurate characterization of atmospheric flows over heterogeneous land use and complex terrain. Under such conditions, the assumption of grid-cell homogeneity, used in one-dimensional planetary boundary layer (1D PBL) parameterizations, breaks down. However, in most numerical weather prediction (NWP) models, boundary layer turbulence is parameterized using 1D PBL parameterizations. We have therefore developed a three-dimensional (3D) PBL parameterization to better account for horizontal flow heterogeneities. We have implemented and tested the 3D PBL parameterization in the Weather Research and Forecasting (WRF) numerical weather prediction model. The new parameterization is validated using observations from the Wind Forecast Improvement 2 (WFIP 2) project and compared to 1D PBL results.
AB - Wind energy applications including wind resource assessment, wind power forecasting, and wind plant optimization require high-resolution mesoscale simulations. High resolution mesoscale simulations are essential for accurate characterization of atmospheric flows over heterogeneous land use and complex terrain. Under such conditions, the assumption of grid-cell homogeneity, used in one-dimensional planetary boundary layer (1D PBL) parameterizations, breaks down. However, in most numerical weather prediction (NWP) models, boundary layer turbulence is parameterized using 1D PBL parameterizations. We have therefore developed a three-dimensional (3D) PBL parameterization to better account for horizontal flow heterogeneities. We have implemented and tested the 3D PBL parameterization in the Weather Research and Forecasting (WRF) numerical weather prediction model. The new parameterization is validated using observations from the Wind Forecast Improvement 2 (WFIP 2) project and compared to 1D PBL results.
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U2 - 10.1088/1742-6596/1452/1/012080
DO - 10.1088/1742-6596/1452/1/012080
M3 - Conference article
AN - SCOPUS:85081604887
SN - 1742-6588
VL - 1452
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012080
T2 - North American Wind Energy Academy, NAWEA 2019 and the International Conference on Future Technologies in Wind Energy 2019, WindTech 2019
Y2 - 14 October 2019 through 16 October 2019
ER -