Coupled mesoscale-LES modeling of a diurnal cycle during the CWEX-13 field campaign: From weather to boundary-layer eddies
Abstract
Multiscale modeling of a diurnal cycle of real-world conditions is presented for the first time, validated using data from the CWEX-13 field experiment. Dynamical downscaling from synoptic-scale down to resolved three-dimensional eddies in the atmospheric boundary layer (ABL) was performed, spanning 4 orders of magnitude in horizontal grid resolution: from 111 km down to 8.2 m (30 m) in stable (convective) conditions. Computationally efficient mesoscale-to-microscale transition was made possible by the generalized cell perturbation method with time-varying parameters derived from mesoscale forcing conditions, which substantially reduced the fetch to achieve fully developed turbulence. In addition, careful design of the simulations was made to inhibit the presence of under-resolved convection at convection-resolving mesoscale resolution and to ensure proper turbulence representation in stably-stratified conditions. Comparison to in situ wind-profiling lidar and near-surface sonic anemometer measurements demonstrated the ability to reproduce the ABL structure throughout the entire diurnal cycle with a high degree of fidelity. The multiscale simulations exhibit realistic atmospheric features such as convective rolls and global intermittency. Also, the diurnal evolution of turbulence was accurately simulated, with probability density functions of resolved turbulent velocity fluctuations nearly identical to the lidar measurements. Explicit representation of turbulence in the stably-stratified ABL was foundmore »
- Authors:
-
[1];
[2];
[1];
[3]
- National Center for Atmospheric Research, Boulder Colorado USA
- Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder Colorado USA, National Renewable Energy Laboratory, Golden Colorado USA
- Los Alamos National Laboratory, Los Alamos New Mexico USA
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1368587
- Alternate Identifier(s):
- OSTI ID: 1368588; OSTI ID: 1372803; OSTI ID: 1398878
- Report Number(s):
- LA-UR-17-25098; NREL/JA-5000-70249
Journal ID: ISSN 1942-2466
- Grant/Contract Number:
- AC52-06NA25396; AC36-08GO28308
- Resource Type:
- Published Article
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Name: Journal of Advances in Modeling Earth Systems; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Earth Sciences; Diurnal cycle; LES atmospheric modeling; multiscale modeling; turbulence; atmospheric boundary layers; WRF; large-eddy simulation; CWEX-13; 17 WIND ENERGY
Citation Formats
Muñoz-Esparza, Domingo, Lundquist, Julie K., Sauer, Jeremy A., Kosović, Branko, and Linn, Rodman R. Coupled mesoscale-LES modeling of a diurnal cycle during the CWEX-13 field campaign: From weather to boundary-layer eddies. United States: N. p., 2017.
Web. doi:10.1002/2017MS000960.
Muñoz-Esparza, Domingo, Lundquist, Julie K., Sauer, Jeremy A., Kosović, Branko, & Linn, Rodman R. Coupled mesoscale-LES modeling of a diurnal cycle during the CWEX-13 field campaign: From weather to boundary-layer eddies. United States. https://doi.org/10.1002/2017MS000960
Muñoz-Esparza, Domingo, Lundquist, Julie K., Sauer, Jeremy A., Kosović, Branko, and Linn, Rodman R. Mon .
"Coupled mesoscale-LES modeling of a diurnal cycle during the CWEX-13 field campaign: From weather to boundary-layer eddies". United States. https://doi.org/10.1002/2017MS000960.
@article{osti_1368587,
title = {Coupled mesoscale-LES modeling of a diurnal cycle during the CWEX-13 field campaign: From weather to boundary-layer eddies},
author = {Muñoz-Esparza, Domingo and Lundquist, Julie K. and Sauer, Jeremy A. and Kosović, Branko and Linn, Rodman R.},
abstractNote = {Multiscale modeling of a diurnal cycle of real-world conditions is presented for the first time, validated using data from the CWEX-13 field experiment. Dynamical downscaling from synoptic-scale down to resolved three-dimensional eddies in the atmospheric boundary layer (ABL) was performed, spanning 4 orders of magnitude in horizontal grid resolution: from 111 km down to 8.2 m (30 m) in stable (convective) conditions. Computationally efficient mesoscale-to-microscale transition was made possible by the generalized cell perturbation method with time-varying parameters derived from mesoscale forcing conditions, which substantially reduced the fetch to achieve fully developed turbulence. In addition, careful design of the simulations was made to inhibit the presence of under-resolved convection at convection-resolving mesoscale resolution and to ensure proper turbulence representation in stably-stratified conditions. Comparison to in situ wind-profiling lidar and near-surface sonic anemometer measurements demonstrated the ability to reproduce the ABL structure throughout the entire diurnal cycle with a high degree of fidelity. The multiscale simulations exhibit realistic atmospheric features such as convective rolls and global intermittency. Also, the diurnal evolution of turbulence was accurately simulated, with probability density functions of resolved turbulent velocity fluctuations nearly identical to the lidar measurements. Explicit representation of turbulence in the stably-stratified ABL was found to provide the right balance with larger scales, resulting in the development of intra-hour variability as observed by the wind lidar; this variability was not captured by the mesoscale model. Moreover, multiscale simulations improved mean ABL characteristics such as horizontal velocity, vertical wind shear, and turbulence.},
doi = {10.1002/2017MS000960},
journal = {Journal of Advances in Modeling Earth Systems},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 10 00:00:00 EDT 2017},
month = {Mon Jul 10 00:00:00 EDT 2017}
}
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