Comparison of Impacts of WRF Dynamic Core, Physics Package, and Initial Conditions on Warm Season Rainfall Forecasts

Gallus, William A.; Bresch, James F.

doi:10.1175/mwr3198.1

Cited by 89 publications

(77 citation statements)

References 26 publications

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“…Mie theory is used to calculate the aerosol optical properties, including extinction efficiency, single scattering albedo and asymmetry factor, based on the aerosol composition, size distribution and mixing state (Barnard et al, 2010). The short and long wave radiation transfer in the atmosphere is represented by the Goddard short wave radiation scheme (Chou and Suarez, 1999) and the Rapid Radiative Transfer Model long wave radiation scheme (Gallus and Bresch, 2006). The aerosol effects on photolysis rates are calculated using the Fast-J photolysis scheme (Wild et al, 2000).…”

Section: Wrf-chem Model Descriptionsmentioning

confidence: 99%

Impacts of aerosol-radiation feedback on local air quality during a severe haze episode in Nanjing megacity, eastern China

Li¹,

Wang²,

Xie³

et al. 2017

Tellus B: Chemical and Physical Meteorology

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Severe haze events and their radiation feedbacks exert a profound impact on the weather and tropospheric chemistry. Using the on-line-coupled Weather Research and Forecasting with Chemistry (WRF-Chem) model, this study investigates the impacts of direct aerosol-radiation feedbacks on local air quality (i.e. particulate matter and ozone photochemistry) during a severe autumn haze episode in Nanjing megacity, eastern China. Pronounced radiation feedbacks are found for the predictions of meteorological and chemical variables. In response to the negative radiative forcing of scattering-dominant anthropogenic haze aerosols, the instantaneous irradiance and temperature at the surface lower by 130 W m −2 and 1.1-1.4 °C, respectively, leading to a reduction of boundary layer height by 103.2-232.6 m (11-38%) and vertical wind speed by 0.1-0.8 mm s −1 (2-30% at mid-day) during this haze event. Such a stable atmosphere favours the accumulation of fine particles (30.5 μg m −3 , 28.7%) and NO 2 (6.0 ppb, 23.7%) in the urban pollution plume. The weaker turbulent mixing and photochemical activity associated with the enhanced titration loss, and reduced downward radiation and photolysis rate result in a 0.1−5.0 ppb (12.0%) reduction of near-surface ozone. The simulations highlight that the aerosol-radiation feedbacks play an important role in the atmospheric transport and chemistry of large urban pollution plumes.

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Section: Wrf-chem Model Descriptionsmentioning

confidence: 99%

Impacts of aerosol-radiation feedback on local air quality during a severe haze episode in Nanjing megacity, eastern China

Li¹,

Wang²,

Xie³

et al. 2017

Tellus B: Chemical and Physical Meteorology

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“…In published literature, one can find an extensive list of different parameterization schemes depicting the same physical process, and several studies were conducted aiming to investigate the model performance on the simulation of meteorological variables under different physical parameterization schemes (Awan et al, 2011;Chigullapalli and Mölders, 2008;Gallus and Bresch, 2006;Gilliam and Pleim, 2010;Gilliam et al, 2007;Hutchinson et al, 2005;Jankov et al, 2005Jankov et al, , 2007Krieger et al, 2009). Challa et al (2009) performed a simulation study of mesoscale coastal circulations in Mississippi Gulf coast with the WRF model, concluding that the YSU scheme shows improvement over MYJ scheme in the simulation of internal boundary layer characteristics and the overall performance of predicted mean variables.…”

Section: 42mentioning

confidence: 99%

A sensitivity study of the WRF model in wind simulation for an area of high wind energy

Carvalho

Rocha

Gómez‐Gesteira

et al. 2012

Environmental Modelling & Software

272

150

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The performance of the Weather Research and Forecast (WRF) model in wind simulation was evaluated under different numerical a nd physical options for an area of Portugal, located in complex terrain and characterized by its significant wind energy resource. The grid nudging and integration time of the simulations were the tested numerical options. Since the goal is to simulate the near-surface wind, the physical parameterization schemes regarding the boundary layer were the ones under evaluation. Also, the influences of the local terrain complexity and simulation domain resolution on the model results were also studied. Data from three wind measuring stations located within the chosen area were compared with the model results, in terms of Root Mean Square Error, Standard Deviation Error and Bias. Wind speed histograms, occurrences and energy wind roses were also used for model evaluation. Globally, the model accurately reproduced the local wind regime, despite a significant underestimation of the wind speed. The wind direction is reasonably simulated by the model especially in wind regimes where there is a clear dominant sector, but in the presence of low wind speeds the characterization of the wind direction (observed and simulated) is very subjective and led to higher deviations between simulations and observations. Within the tested options, results show that the use of grid nudging in simulations that should not exceed an integration tim e of 2 days is the best numerical configuration, and the parameterization set composed by the physical schemes MM5eYonsei UniversityeNoah are the most suitable for this site. Results were poorer in sites with higher terrain complexity, mainly due to limita-tions of the terrain data supplied to the model. The increase of the simulation domain resolution alone is not enough to significantly improve the model performance. Results suggest that error minimization in the wind simulation can be achieved by testing and choosing a suitable numerical and physical con figuration for the region of interest together with the use of high resolution terrain data, if available.

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“…No single scheme performs uniformly well under all conditions, and each has a predictive ability highly dependent on weather or climate regimes (Jankov et al, 2005;Gallus Jr. and Bresch, 2006) and application scales. Furthermore, the model performance often depends on the feedbacks between different schemes.…”

Section: Introductionmentioning

confidence: 99%

Influence of microphysical schemes on atmospheric water in the Weather Research and Forecasting model

Cossu

Hocke

2014

Geosci. Model Dev.

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Abstract. This study examines how different microphysical parameterization schemes influence orographically induced precipitation and the distributions of hydrometeors and water vapour for midlatitude summer conditions in the Weather Research and Forecasting (WRF) model. A high-resolution two-dimensional idealized simulation is used to assess the differences between the schemes in which a moist air flow is interacting with a bell-shaped 2 km high mountain. Periodic lateral boundary conditions are chosen to recirculate atmospheric water in the domain. It is found that the 13 selected microphysical schemes conserve the water in the model domain. The gain or loss of water is less than 0.81 % over a simulation time interval of 61 days. The differences of the microphysical schemes in terms of the distributions of water vapour, hydrometeors and accumulated precipitation are presented and discussed. The Kessler scheme, the only scheme without ice-phase processes, shows final values of cloud liquid water 14 times greater than the other schemes. The differences among the other schemes are not as extreme, but still they differ up to 79 % in water vapour, up to 10 times in hydrometeors and up to 64 % in accumulated precipitation at the end of the simulation. The microphysical schemes also differ in the surface evaporation rate. The WRF singlemoment 3-class scheme has the highest surface evaporation rate compensated by the highest precipitation rate. The different distributions of hydrometeors and water vapour of the microphysical schemes induce differences up to 49 W m −2 in the downwelling shortwave radiation and up to 33 W m −2 in the downwelling longwave radiation.

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Comparison of Impacts of WRF Dynamic Core, Physics Package, and Initial Conditions on Warm Season Rainfall Forecasts

Cited by 89 publications

References 26 publications

Impacts of aerosol-radiation feedback on local air quality during a severe haze episode in Nanjing megacity, eastern China

Impacts of aerosol-radiation feedback on local air quality during a severe haze episode in Nanjing megacity, eastern China

A sensitivity study of the WRF model in wind simulation for an area of high wind energy

Influence of microphysical schemes on atmospheric water in the Weather Research and Forecasting model

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