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Title: A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1. Wind and Turbulence

Abstract

We found that numerical-weather-prediction models are often used to supply the mean wind and turbulence fields for atmospheric transport and dispersion plume models as they provide dense horizontally- and vertically-resolved geographic coverage in comparison to typically sparse monitoring networks. Here, the Weather Research and Forecasting (WRF) model was run over the month-long period of the Joint Urban 2003 field campaign conducted in Oklahoma City and the simulated fields important to transport and dispersion models were compared to measurements from a number of sodars, tower-based sonic anemometers, and balloon soundings located in the greater metropolitan area. Time histories of computed wind speed, wind direction, turbulent kinetic energy (e), friction velocity (u* ), and reciprocal Obukhov length (1 / L) were compared to measurements over the 1-month field campaign. Vertical profiles of wind speed, potential temperature (θ ), and e were compared during short intensive operating periods. The WRF model was typically able to replicate the measured diurnal variation of the wind fields, but with an average absolute wind direction and speed difference of 35° and 1.9 m s-1 , respectively. Then, using the Mellor-Yamada-Janjic (MYJ) surface-layer scheme, the WRF model was found to generally underpredict surface-layer TKE but overpredict u* thatmore » was observed above a suburban region of Oklahoma City. The TKE-threshold method used by the WRF model’s MYJ surface-layer scheme to compute the boundary-layer height (h) consistently overestimated h derived from a θ gradient method whether using observed or modelled θ profiles.« less

Authors:
ORCiD logo [1];  [1];  [1];  [2];  [3];  [2];  [4]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Aeris, Louisville, CO (United States)
  3. Citadel, Chicago, IL (United States)
  4. Science and Technology in Atmospheric Research (STAR), Boulder, CO (United States)
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1235664
Report Number(s):
LA-UR-14-27675
Journal ID: ISSN 0006-8314; PII: 91
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Boundary-Layer Meteorology
Additional Journal Information:
Journal Volume: 158; Journal Issue: 2; Journal ID: ISSN 0006-8314
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; QUIC; WRF; ASL turbulence; Atmospheric surface-layer winds Turbulence; Urban transport and dispersion; Vertical structure; Weather Research and Forecasting

Citation Formats

Nelson, Matthew A., Brown, Michael J., Halverson, Scot A., Bieringer, Paul E., Annunzio, Andrew, Bieberbach, George, and Meech, Scott. A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1. Wind and Turbulence. United States: N. p., 2015. Web. doi:10.1007/s10546-015-0091-z.
Nelson, Matthew A., Brown, Michael J., Halverson, Scot A., Bieringer, Paul E., Annunzio, Andrew, Bieberbach, George, & Meech, Scott. A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1. Wind and Turbulence. United States. https://doi.org/10.1007/s10546-015-0091-z
Nelson, Matthew A., Brown, Michael J., Halverson, Scot A., Bieringer, Paul E., Annunzio, Andrew, Bieberbach, George, and Meech, Scott. Fri . "A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1. Wind and Turbulence". United States. https://doi.org/10.1007/s10546-015-0091-z. https://www.osti.gov/servlets/purl/1235664.
@article{osti_1235664,
title = {A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1. Wind and Turbulence},
author = {Nelson, Matthew A. and Brown, Michael J. and Halverson, Scot A. and Bieringer, Paul E. and Annunzio, Andrew and Bieberbach, George and Meech, Scott},
abstractNote = {We found that numerical-weather-prediction models are often used to supply the mean wind and turbulence fields for atmospheric transport and dispersion plume models as they provide dense horizontally- and vertically-resolved geographic coverage in comparison to typically sparse monitoring networks. Here, the Weather Research and Forecasting (WRF) model was run over the month-long period of the Joint Urban 2003 field campaign conducted in Oklahoma City and the simulated fields important to transport and dispersion models were compared to measurements from a number of sodars, tower-based sonic anemometers, and balloon soundings located in the greater metropolitan area. Time histories of computed wind speed, wind direction, turbulent kinetic energy (e), friction velocity (u* ), and reciprocal Obukhov length (1 / L) were compared to measurements over the 1-month field campaign. Vertical profiles of wind speed, potential temperature (θ ), and e were compared during short intensive operating periods. The WRF model was typically able to replicate the measured diurnal variation of the wind fields, but with an average absolute wind direction and speed difference of 35° and 1.9 m s-1 , respectively. Then, using the Mellor-Yamada-Janjic (MYJ) surface-layer scheme, the WRF model was found to generally underpredict surface-layer TKE but overpredict u* that was observed above a suburban region of Oklahoma City. The TKE-threshold method used by the WRF model’s MYJ surface-layer scheme to compute the boundary-layer height (h) consistently overestimated h derived from a θ gradient method whether using observed or modelled θ profiles.},
doi = {10.1007/s10546-015-0091-z},
journal = {Boundary-Layer Meteorology},
number = 2,
volume = 158,
place = {United States},
year = {Fri Sep 25 00:00:00 EDT 2015},
month = {Fri Sep 25 00:00:00 EDT 2015}
}

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Works referenced in this record:

Description and Evaluation of the Characteristics of the NCAR High-Resolution Land Data Assimilation System
journal, June 2007

  • Chen, Fei; Manning, Kevin W.; LeMone, Margaret A.
  • Journal of Applied Meteorology and Climatology, Vol. 46, Issue 6
  • DOI: 10.1175/JAM2463.1

The integrated WRF/urban modelling system: development, evaluation, and applications to urban environmental problems
journal, January 2011

  • Chen, Fei; Kusaka, Hiroyuki; Bornstein, Robert
  • International Journal of Climatology, Vol. 31, Issue 2
  • DOI: 10.1002/joc.2158

Evaluation of an Urban Canopy Parameterization in a Mesoscale Model Using VTMX and URBAN 2000 Data
journal, July 2005

  • Chin, Hung-Neng S.; Leach, Martin J.; Sugiyama, Gayle A.
  • Monthly Weather Review, Vol. 133, Issue 7
  • DOI: 10.1175/MWR2962.1

Single-Column Model Intercomparison for a Stably Stratified Atmospheric Boundary Layer
journal, September 2005


The Kain–Fritsch Convective Parameterization: An Update
journal, January 2004


The NCEP/NCAR 40-Year Reanalysis Project
journal, March 1996


Coupling a Single-Layer Urban Canopy Model with a Simple Atmospheric Model: Impact on Urban Heat Island Simulation for an Idealized Case
journal, January 2004

  • Kusaka, Hiroyuki; Kimura, Fujio
  • Journal of the Meteorological Society of Japan, Vol. 82, Issue 1
  • DOI: 10.2151/jmsj.82.67

Urban heat island effect and its impact on boundary layer development and land–sea circulation over northern Taiwan
journal, July 2008


Observed Diurnal Cycle Climatology of Planetary Boundary Layer Height
journal, November 2010


Verification of a Mesoscale Data-Assimilation and Forecasting System for the Oklahoma City Area during the Joint Urban 2003 Field Project
journal, July 2006

  • Liu, Yubao; Chen, Fei; Warner, Thomas
  • Journal of Applied Meteorology and Climatology, Vol. 45, Issue 7
  • DOI: 10.1175/JAM2383.1

Current research and future challenges in urban mesoscale modelling
journal, January 2007

  • Martilli, Alberto
  • International Journal of Climatology, Vol. 27, Issue 14
  • DOI: 10.1002/joc.1620

Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave
journal, July 1997

  • Mlawer, Eli J.; Taubman, Steven J.; Brown, Patrick D.
  • Journal of Geophysical Research: Atmospheres, Vol. 102, Issue D14
  • DOI: 10.1029/97JD00237

Urban and land surface effects on the 30 July 2003 mesoscale convective system event observed in the southern Great Plains
journal, January 2006

  • Niyogi, Dev; Holt, Teddy; Zhong, Sharon
  • Journal of Geophysical Research, Vol. 111, Issue D19
  • DOI: 10.1029/2005JD006746

A Study of the Urban Boundary Layer Using Different Urban Parameterizations and High-Resolution Urban Canopy Parameters with WRF
journal, May 2011

  • Salamanca, Francisco; Martilli, Alberto; Tewari, Mukul
  • Journal of Applied Meteorology and Climatology, Vol. 50, Issue 5
  • DOI: 10.1175/2010JAMC2538.1

An Introduction to Boundary Layer Meteorology
book, January 1988


Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization
journal, December 2008

  • Thompson, Gregory; Field, Paul R.; Rasmussen, Roy M.
  • Monthly Weather Review, Vol. 136, Issue 12
  • DOI: 10.1175/2008MWR2387.1

Evaluation of the coupling between mesoscale-WRF and LES‐EULAG models for simulating fine-scale urban dispersion
journal, November 2012


Works referencing / citing this record:

A New Scheme for the Simulation of Microscale Flow and Dispersion in Urban Areas by Coupling Large-Eddy Simulation with Mesoscale Models
journal, December 2017


Assessment of Planetary-Boundary-Layer Schemes in the Weather Research and Forecasting Model Within and Above an Urban Canopy Layer
journal, March 2018

  • Ferrero, Enrico; Alessandrini, Stefano; Vandenberghe, Francois
  • Boundary-Layer Meteorology, Vol. 168, Issue 2
  • DOI: 10.1007/s10546-018-0349-3