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Z. Janjic (1990)
The Step-Mountain Coordinate: Physical PackageMonthly Weather Review, 118
D. Bright, S. Mullen (2002)
The Sensitivity of the Numerical Simulation of the Southwest Monsoon Boundary Layer to the Choice of PBL Turbulence Parameterization in MM5Weather and Forecasting, 17
A. Holtslag, E. Meijgaard, W. Rooy (1995)
A comparison of boundary layer diffusion schemes in unstable conditions over landBoundary-Layer Meteorology, 76
Z. Sorbjan (2009)
Improving Non-local Parameterization of the Convective Boundary LayerBoundary-Layer Meteorology, 130
R. Banta, C. Senff, J. Nielsen‐Gammon, L. Darby, T. Ryerson, R. Alvarez, S. Sandberg, E. Williams, M. Trainer (2005)
A BAD AIR DAY IN HOUSTONBulletin of the American Meteorological Society, 86
W. Dabberdt, M. Carroll, D. Baumgardner, G. Carmichael, R. Cohen, T. Dye, J. Ellis, G. Grell, S. Grimmond, S. Hanna, J. Irwin, B. Lamb, S. Madronich, J. Mcqueen, J. Meagher, T. Odman, J. Pleim, H. Schmid, D. Westphal (2004)
Meteorological Research Needs for Improved Air Quality Forecasting Report of the 11th Prospectus Development Team of the U.S. Weather Research ProgramBulletin of the American Meteorological Society, 85
C. Srinivas, R. Venkatesan, A. Singh (2007)
Sensitivity of mesoscale simulations of land–sea breeze to boundary layer turbulence parameterizationAtmospheric Environment, 41
Z. Han, H. Ueda, Junling An (2008)
Evaluation and intercomparison of meteorological predictions by five MM5-PBL parameterizations in combination with three land-surface modelsAtmospheric Environment, 42
J. Pleim, Julius Chang (1992)
A non-local closure model for vertical mixing in the convective boundary layerAtmospheric Environment. Part A. General Topics, 26
B. Wiel, A. Moene, R. Ronda, H. Bruin, A. Holtslag (2002)
Intermittent turbulence and oscillations in the stable boundary layer over land
S. Margulis, D. Entekhabi (2004)
Boundary-Layer Entrainment Estimation Through Assimilation of Radiosonde and Micrometeorological Data into a Mixed-Layer ModelBoundary-Layer Meteorology, 110
(1996)
FIFE 1987 sonde budget revisited
R. Stull (1984)
Transilient Turbulence Theory. Part I: The Concept of Eddy-Mixing across Finite DistancesJournal of the Atmospheric Sciences, 41
W. Angevine (2008)
Transitional, entraining, cloudy, and coastal boundary layersActa Geophysica, 56
Chris Misenis, Xiaomin Hu, S. Krishnan, Yang Zhang (2005)
SENSITIVITY OF WRF / CHEM PREDICTIONS TO METEOROLOGICAL SCHEMES
A. Betts (1992)
FIFE atmospheric boundary layer budget methodsJournal of Geophysical Research, 97
Da‐Lin Zhang, Weizhong Zheng (2004)
Diurnal cycles of surface winds and temperatures as simulated by five boundary layer parameterizationsJournal of Applied Meteorology, 43
M. Nakanishi, H. Niino (2004)
An Improved Mellor–Yamada Level-3 Model with Condensation Physics: Its Design and VerificationBoundary-Layer Meteorology, 112
A. Brown (1996)
Evaluation of parametrization schemes for the convective boundary layer using large-eddy simulation resultsBoundary-Layer Meteorology, 81
J. Nielsen‐Gammon, Christina Powell, M. Mahoney, W. Angevine, C. Senff, A. White, C. Berkowitz, C. Doran, K. Knupp (2008)
Multisensor Estimation of Mixing Heights over a Coastal CityJournal of Applied Meteorology and Climatology, 47
A. Beljaars, A. Holtslag (1991)
Flux Parameterization over Land Surfaces for Atmospheric ModelsJournal of Applied Meteorology, 30
G. Steeneveld, B. Wiel, A. Holtslag (2006)
Modelling the Arctic Stable Boundary Layer and its Coupling to the SurfaceBoundary-Layer Meteorology, 118
Song‐You Hong (2007)
Stable Boundary Layer Mixing in a Vertical Diffusion Scheme
Da‐Lin Zhang, R. Anthes (1982)
A High-Resolution Model of the Planetary Boundary Layer—Sensitivity Tests and Comparisons with SESAME-79 DataJournal of Applied Meteorology, 21
Y. Noh, W. Cheon, Song‐You Hong, S. Raasch (2003)
Improvement of the K-profile Model for the Planetary Boundary Layer based on Large Eddy Simulation DataBoundary-Layer Meteorology, 107
A. Betts, Fei Chen, K. Mitchell, Z. Janjic (1997)
Assessment of the Land Surface and Boundary Layer Models in Two Operational Versions of the NCEP Eta Model Using FIFE DataMonthly Weather Review, 125
P. Viterbo, A. Beljaars, J. Mahfouf, J. Teixeira (1999)
The representation of soil moisture freezing and its impact on the stable boundary layerQuarterly Journal of the Royal Meteorological Society, 125
J. Wyngaard, M. Lemone (1980)
Behavior of the Refractive Index Structure Parameter in the Entraining Convective Boundary LayerJournal of the Atmospheric Sciences, 37
A. Grimsdell, W. Angevine (1998)
Convective Boundary Layer Height Measurement with Wind Profilers and Comparison to Cloud BaseJournal of Atmospheric and Oceanic Technology, 15
Z. Janjic (1994)
The Step-Mountain Eta Coordinate Model: Further Developments of the Convection, Viscous Sublayer, and Turbulence Closure SchemesMonthly Weather Review, 122
(2004)
Some comments on PBL parameterizations in WRF
J. Wilczak, I. Djalalova, S. Mckeen, L. Bianco, J. Bao, G. Grell, S. Peckham, R. Mathur, J. Mcqueen, Pius Lee (2009)
Analysis of regional meteorology and surface ozone during the TexAQS II field program and an evaluation of the NMM‐CMAQ and WRF‐Chem air quality modelsJournal of Geophysical Research, 114
J. Pleim (2007)
A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and TestingJournal of Applied Meteorology and Climatology, 46
Van de Wiel (2002)
Intermittent turbulence and oscillations in the stable boundary layer over land. Part I: A bulk model.J. Atmos. Sci., 59
D. Parrish, D. Allen, T. Bates, M. Estes, F. Fehsenfeld, G. Feingold, R. Ferrare, R. Hardesty, J. Meagher, J. Nielsen‐Gammon, R. Pierce, T. Ryerson, J. Seinfeld, E. Williams (2009)
Overview of the Second Texas Air Quality Study (TexAQS II) and the Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS)Journal of Geophysical Research, 114
J. Pleim (2007)
A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part II: Application and Evaluation in a Mesoscale Meteorological ModelJournal of Applied Meteorology and Climatology, 46
Zaviša Janić (2001)
Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model
(1978)
Modeling pollutant transfer during daytime convection
J. Miao, D. Chen, K. Wyser, K. Borne, J. Lindgren, M. Strandevall, S. Thorsson, C. Achberger, E. Almkvist (2008)
Evaluation of MM5 mesoscale model at local scale for air quality applications over the Swedish west coast: Influence of PBL and LSM parameterizationsMeteorology and Atmospheric Physics, 99
A. Langford, C. Senff, R. Banta, R. Hardesty, R. Alvarez, S. Sandberg, L. Darby (2009)
Regional and local background ozone in Houston during Texas Air Quality Study 2006Journal of Geophysical Research, 114
I. Jankov, P. Schultz, C. Anderson, S. Koch (2007)
The Impact of Different Physical Parameterizations and Their Interactions on Cold Season QPF in the American River BasinJournal of Hydrometeorology, 8
G. Mellor, Tetsuji Yamada (1982)
Development of a turbulence closure model for geophysical fluid problemsReviews of Geophysics, 20
S. Braun, W. Tao (2000)
Sensitivity of High-Resolution Simulations of Hurricane Bob (1991) to Planetary Boundary Layer ParameterizationsMonthly Weather Review, 128
I. Troen, L. Mahrt (1986)
A simple model of the atmospheric boundary layer; sensitivity to surface evaporationBoundary-Layer Meteorology, 37
Song‐You Hong, H. Pan (1996)
Nonlocal Boundary Layer Vertical Diffusion in a Medium-Range Forecast ModelMonthly Weather Review, 124
A. Barr, A. Betts (1997)
Radiosonde boundary layer budgets above a boreal forestJournal of Geophysical Research, 102
R. Borge, V. Alexandrov, J. Vas, J. Lumbreras, Encarnación Rodríguez (2008)
A comprehensive sensitivity analysis of the WRF model for air quality applications over the Iberian PeninsulaAtmospheric Environment, 42
J. Nielsen‐Gammon, Xiao‐Ming Hu, Fuqing Zhang, J. Pleim (2010)
Evaluation of Planetary Boundary Layer Scheme Sensitivities for the Purpose of Parameter EstimationMonthly Weather Review, 138
G. Grell, D. Dévényi (2002)
A generalized approach to parameterizing convection combining ensemble and data assimilation techniquesGeophysical Research Letters, 29
P. Seibert, F. Beyrich, S. Gryning, S. Joffre, A. Rasmussen, P. Tercier (2000)
Review and intercomparison of operational methods for the determination of the mixing heightAtmospheric Environment, 34
J. Bao, S. Michelson, S. Mckeen, G. Grell (2005)
Meteorological evaluation of a weather‐chemistry forecasting model using observations from the TEXAS AQS 2000 field experimentJournal of Geophysical Research, 110
E. Mlawer, Steven Taubman, P. Brown, M. Iacono, S. Clough (1997)
Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwaveJournal of Geophysical Research, 102
(2007)
Impacts of meteorological uncertainties on ozone pollution predictability estimated through meteorological and photochemical ensemble forecastsJournal of Geophysical Research, 112
Song‐You Hong, Y. Noh, J. Dudhia (2006)
A New Vertical Diffusion Package with an Explicit Treatment of Entrainment ProcessesMonthly Weather Review, 134
Xuanli Li, Z. Pu (2008)
Sensitivity of Numerical Simulation of Early Rapid Intensification of Hurricane Emily (2005) to Cloud Microphysical and Planetary Boundary Layer ParameterizationsMonthly Weather Review, 136
S. Zhong, H. In, C. Clements (2007)
Impact of turbulence, land surface, and radiation parameterizations on simulated boundary layer properties in a coastal environmentJournal of Geophysical Research, 112
M. Nakanishi, H. Niino (2009)
Development of an Improved Turbulence Closure Model for the Atmospheric Boundary LayerJournal of the Meteorological Society of Japan, 87
W. Angevine, A. White, S. Avery (1994)
Boundary-layer depth and entrainment zone characterization with a boundary-layer profilerBoundary-Layer Meteorology, 68
Fei Chen, J. Dudhia (2001)
Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and SensitivityMonthly Weather Review, 129
W. Skamarock, J. Klemp, J. Dudhia, Dave Gill, D. Barker, M. Duda, Xiang-Yu Huang, Wei Wang, Jordan Powers (2008)
A Description of the Advanced Research WRF Version 3, 113
K. Ayotte, P. Sullivan, A. Andren, S. Doney, A. Holtslag, W. Large, J. McWilliams, C. Moeng, M. Otte, J. Tribbia, J. Wyngaard (1996)
An evaluation of neutral and convective planetary boundary-layer parameterizations relative to large eddy simulationsBoundary-Layer Meteorology, 79
L. Leung, S. Ghan (1998)
Parameterizing Subgrid Orographic Precipitation and Surface Cover in Climate ModelsMonthly Weather Review, 126
S. Derbyshire (1999)
Boundary-Layer Decoupling over Cold Surfaces as a Physical Boundary-InstabilityBoundary-Layer Meteorology, 90
A. Betts, A. Barr (1996)
First International Satellite Land Surface Climatology Field Experiment 1987 sonde budget revisitedJournal of Geophysical Research, 101
Song‐You Hong, J. Dudhia, Shu‐Hua Chen (2004)
A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and PrecipitationMonthly Weather Review, 132
I. Jankov, W. Gallus, M. Segal, B. Shaw, S. Koch (2005)
The Impact of Different WRF Model Physical Parameterizations and Their Interactions on Warm Season MCS RainfallWeather and Forecasting, 20
J. Dudhia (1989)
Numerical Study of Convection Observed during the Winter Monsoon Experiment Using a Mesoscale Two-Dimensional ModelJournal of the Atmospheric Sciences, 46
P. Daum, L. Kleinman, S. Springston, L. Nunnermacker, Y. Lee, J. Weinstein‐Lloyd, Jun Zheng, C. Berkowitz (2003)
A comparative study of O3 formation in the Houston urban and industrial plumes during the 2000 Texas Air Quality StudyJournal of Geophysical Research, 108
T. Holt, S. Raman (1988)
A review and comparative evaluation of multilevel boundary layer parameterizations for first‐order and turbulent kinetic energy closure schemesReviews of Geophysics, 26
Accurate depiction of meteorological conditions, especially within the planetary boundary layer (PBL), is important for air pollution modeling, and PBL parameterization schemes play a critical role in simulating the boundary layer. This study examines the sensitivity of the performance of the Weather Research and Forecast (WRF) model to the use of three different PBL schemes Mellor–Yamada–Janjic (MYJ), Yonsei University (YSU), and the asymmetric convective model, version 2 (ACM2). Comparison of surface and boundary layer observations with 92 sets of daily, 36-h high-resolution WRF simulations with different schemes over Texas in July–September 2005 shows that the simulations with the YSU and ACM2 schemes give much less bias than with the MYJ scheme. Simulations with the MYJ scheme, the only local closure scheme of the three, produced the coldest and moistest biases in the PBL. The differences among the schemes are found to be due predominantly to differences in vertical mixing strength and entrainment of air from above the PBL. A sensitivity experiment with the ACM2 scheme confirms this diagnosis.
Journal of Applied Meteorology and Climatology – American Meteorological Society
Published: Nov 5, 2009
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