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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 2: Gas tracer dispersion

Abstract

Here, the Quick Urban & Industrial Complex (QUIC) atmospheric transport, and dispersion modelling, system was evaluated against the Joint Urban 2003 tracer-gas measurements. This was done using the wind and turbulence fields computed by the Weather Research and Forecasting (WRF) model. We compare the simulated and observed plume transport when using WRF-model-simulated wind fields, and local on-site wind measurements. Degradation of the WRF-model-based plume simulations was cased by errors in the simulated wind direction, and limitations in reproducing the small-scale wind-field variability. We explore two methods for importing turbulence from the WRF model simulations into the QUIC system. The first method uses parametrized turbulence profiles computed from WRF-model-computed boundary-layer similarity parameters; and the second method directly imports turbulent kinetic energy from the WRF model. Using the WRF model’s Mellor-Yamada-Janjic boundary-layer scheme, the parametrized turbulence profiles and the direct import of turbulent kinetic energy were found to overpredict and underpredict the observed turbulence quantities, respectively. Near-source building effects were found to propagate several km downwind. These building effects and the temporal/spatial variations in the observed wind field were often found to have a stronger influence over the lateral and vertical plume spread than the intensity of turbulence. Correcting the WRF modelmore » wind directions using a single observational location improved the performance of the WRF-model-based simulations, but using the spatially-varying flow fields generated from multiple observation profiles generally provided the best performance.« less

Authors:
 [1];  [1];  [1];  [2];  [3];  [2];  [4]
+ Show Author Affiliations
  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) LLC, Boulder, CO (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1331258
Alternate Identifier(s):
OSTI ID: 1394990
Report Number(s):
LA-UR-14-29367; LA-UR-17-27317
Journal ID: ISSN 0006-8314
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Boundary-Layer Meteorology
Additional Journal Information:
Journal Name: Boundary-Layer Meteorology; Journal ID: ISSN 0006-8314
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Quick Urban and Industrial Complex modelling system; Transport and dispersion; Weather Research and Forecasting model

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 2: Gas tracer dispersion. United States: N. p., 2016. Web. https://doi.org/10.1007/s10546-016-0188-z.
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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 2: Gas tracer dispersion. United States. https://doi.org/10.1007/s10546-016-0188-z
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Nelson, Matthew A., Brown, Michael J., Halverson, Scot A., Bieringer, Paul E., Annunzio, Andrew, Bieberbach, George, and Meech, Scott. Thu . "A case study of the Weather Research and Forecasting model applied to the Joint Urban 2003 tracer field experiment. Part 2: Gas tracer dispersion". United States. https://doi.org/10.1007/s10546-016-0188-z. https://www.osti.gov/servlets/purl/1331258.
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@article{osti_1331258,
title = {A case study of the Weather Research and Forecasting model applied to the Joint Urban 2003 tracer field experiment. Part 2: Gas tracer dispersion},
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 = {Here, the Quick Urban & Industrial Complex (QUIC) atmospheric transport, and dispersion modelling, system was evaluated against the Joint Urban 2003 tracer-gas measurements. This was done using the wind and turbulence fields computed by the Weather Research and Forecasting (WRF) model. We compare the simulated and observed plume transport when using WRF-model-simulated wind fields, and local on-site wind measurements. Degradation of the WRF-model-based plume simulations was cased by errors in the simulated wind direction, and limitations in reproducing the small-scale wind-field variability. We explore two methods for importing turbulence from the WRF model simulations into the QUIC system. The first method uses parametrized turbulence profiles computed from WRF-model-computed boundary-layer similarity parameters; and the second method directly imports turbulent kinetic energy from the WRF model. Using the WRF model’s Mellor-Yamada-Janjic boundary-layer scheme, the parametrized turbulence profiles and the direct import of turbulent kinetic energy were found to overpredict and underpredict the observed turbulence quantities, respectively. Near-source building effects were found to propagate several km downwind. These building effects and the temporal/spatial variations in the observed wind field were often found to have a stronger influence over the lateral and vertical plume spread than the intensity of turbulence. Correcting the WRF model wind directions using a single observational location improved the performance of the WRF-model-based simulations, but using the spatially-varying flow fields generated from multiple observation profiles generally provided the best performance.},
doi = {10.1007/s10546-016-0188-z},
journal = {Boundary-Layer Meteorology},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {7}
}
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https://doi.org/10.1007/s10546-016-0188-z
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Works referenced in this record:

One-Way Coupling of the WRF–QUIC Urban Dispersion Modeling System
journal, October 2015

  • Kochanski, A. K.; Pardyjak, E. R.; Stoll, R.
  • Journal of Applied Meteorology and Climatology, Vol. 54, Issue 10
  • DOI: 10.1175/JAMC-D-15-0020.1

Properties of the Wind Field within the Oklahoma City Park Avenue Street Canyon. Part I: Mean Flow and Turbulence Statistics
journal, December 2007

  • Nelson, M. A.; Pardyjak, E. R.; Klewicki, J. C.
  • Journal of Applied Meteorology and Climatology, Vol. 46, Issue 12
  • DOI: 10.1175/2006JAMC1427.1

Concerning the similarity theory of A. S. Monin and A. M. Obukhov for the turbulent structure of the thermally stratified surface layer of the atmosphere
journal, January 1966

  • Calder, K. L.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 92, Issue 391
  • DOI: 10.1002/qj.49709239113

A CFD-based wind solver for an urban fast response transport and dispersion model
journal, February 2011

  • Gowardhan, Akshay A.; Pardyjak, Eric R.; Senocak, Inanc
  • Environmental Fluid Mechanics, Vol. 11, Issue 5
  • DOI: 10.1007/s10652-011-9211-6

An inter-comparison of three urban wind models using Oklahoma City Joint Urban 2003 wind field measurements
journal, April 2011

  • Neophytou, Marina; Gowardhan, Akshay; Brown, Michael
  • Journal of Wind Engineering and Industrial Aerodynamics, Vol. 99, Issue 4
  • DOI: 10.1016/j.jweia.2011.01.010

Urban transport and dispersion model sensitivity to wind direction uncertainty and source location
journal, January 2013

Review of atmospheric turbulence over cities
journal, April 2000

  • Roth, M.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 126, Issue 564
  • DOI: 10.1002/qj.49712656409

The Pentagon Shield Field Program: Toward Critical Infrastructure Protection
journal, February 2007

  • Warner, Thomas; Benda, Paul; Swerdlin, Scott
  • Bulletin of the American Meteorological Society, Vol. 88, Issue 2
  • DOI: 10.1175/BAMS-88-2-167

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

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

Acceptance criteria for urban dispersion model evaluation
journal, January 2012

Multidimensional binary search trees used for associative searching
journal, September 1975

An Immersed Boundary Method Enabling Large-Eddy Simulations of Flow over Complex Terrain in the WRF Model
journal, December 2012

  • Lundquist, Katherine A.; Chow, Fotini Katopodes; Lundquist, Julie K.
  • Monthly Weather Review, Vol. 140, Issue 12
  • DOI: 10.1175/MWR-D-11-00311.1

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

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

Comparisons of JU2003 observations with four diagnostic urban wind flow and Lagrangian particle dispersion models
journal, August 2011

QUIC transport and dispersion modelling of two releases from the Joint Urban 2003 field experiment
journal, January 2013

  • Brown, Michael J.; Gowardhan, Akshay A.; Nelson, Mathew A.
  • International Journal of Environment and Pollution, Vol. 52, Issue 3/4
  • DOI: 10.1504/IJEP.2013.058458

Evaluation of Three Planetary Boundary Layer Schemes in the WRF Model
journal, September 2010

  • Hu, Xiao-Ming; Nielsen-Gammon, John W.; Zhang, Fuqing
  • Journal of Applied Meteorology and Climatology, Vol. 49, Issue 9
  • DOI: 10.1175/2010JAMC2432.1

A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1: Wind and Turbulence
journal, September 2015

  • Nelson, Matthew A.; Brown, Michael J.; Halverson, Scot A.
  • Boundary-Layer Meteorology, Vol. 158, Issue 2
  • DOI: 10.1007/s10546-015-0091-z
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    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

    Urban Dispersion Modelling Capabilities Related to the UDINEE Intensive Operating Period 4
    journal, November 2018

    • Kopka, Piotr; Potempski, Slawomir; Kaszko, Aleksej
    • Boundary-Layer Meteorology, Vol. 171, Issue 3
    • DOI: 10.1007/s10546-018-0399-6
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