Sensitivity of a Cumulus Parameterization Scheme to Precipitation Production Representation and Its Impact on a Heavy Rain Event over Korea

Han, Jee Yun; Hong, Song‐You; Lim, Kyo‐Sun Sunny; Han, Je-Chin

doi:10.1175/mwr-d-15-0255.1

Cited by 50 publications

(54 citation statements)

References 28 publications

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“…Previous studies (e.g. Han et al., ; Van Weverberg et al., ) have shown that parameterization schemes on convection, subgrid‐scale cloud microphysical process of the convective clouds and resultant precipitation all can affect the convergence/divergence in models. Recent study by Sandu et al.…”

Section: Summary and Discussionmentioning

confidence: 99%

“…Previous studies (e.g. Han et al, 2016;Van Weverberg et al, 2012) have shown that parameterization schemes on convection, subgrid-scale cloud microphysical process of the convective clouds and resultant precipitation all can affect the convergence/divergence in models. Recent study by Sandu et al (2019) suggests that parameterization schemes on topographic processes (e.g., turbulent form drag, low-level flow blocking, and mountain waves) may also impact on the atmospheric circulation.…”

Section: Summary and Discussionmentioning

confidence: 99%

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Winter and Summer Rossby Wave Sources in the CMIP5 Models

Nie

Zhang

Yang

et al. 2019

Earth and Space Science

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The Rossby wave source (RWS) in the upper troposphere plays an important role in the tropical‐extratropical teleconnections. Using the daily outputs from the Phase 5 of the Coupled Model Intercomparison Project (CMIP5) models, the overall model performances in simulating the climatological Rossby wave sources in both winter and summer are evaluated. The ensemble mean of the CMIP5 models can simulate the large‐scale geographical distributions of the RWS reasonably close to the observations, with the simulations of RWS in general better in the Southern Hemisphere. For the Northern Hemisphere, most models overestimate the subtropical RWS but underestimate the midlatitude RWS in both winter and summer. Many models even fail to simulate the seasonal source‐sink shift of RWS in East Asia. Greatest intermodel differences are shown in East Asia, western North America in both seasons, and in the subtropical belt in winter hemisphere. Possible reasons for the model biases in RWS are further investigated. In the Northern Hemisphere, our analysis shows that model performance in simulating the local divergence, which might relate to the overly smoothed topography in Asia and western North America in the model, is most responsible for the biases of the RWS simulations. In the Southern Hemisphere, the bias in subtropical divergence pattern and tropical convection all contribute to the intermodel divergence of RWS simulation.

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Section: Summary and Discussionmentioning

confidence: 99%

Section: Summary and Discussionmentioning

confidence: 99%

Winter and Summer Rossby Wave Sources in the CMIP5 Models

Nie

Zhang

Yang

et al. 2019

Earth and Space Science

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“…Han et al () proposed a revised conversion rate of cloud water to rain water based on a cloud‐resolving simulation of a thunderstorm (Lim, ). They found that the conversion rate of cloud water to rain water decreases exponentially with height above the freezing level.…”

Section: Simulation Results and Model Improvementsmentioning

confidence: 99%

“…Thus, in order to improve the model simulation of subgrid‐scale wet scavenging, we added two modifications to the model. The first modification is adjusting the solubility of the tracer by introducing an ice retention factor, and the second modification is changing the conversion rate of cloud water to rain water by using the Han et al () scheme.…”

Section: Discussionmentioning

confidence: 99%

Wet Scavenging in WRF‐Chem Simulations of Parameterized Convection for a Severe Storm During the DC3 Field Campaign

Pickering

Barth

et al. 2019

JGR Atmospheres

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Deep convection can transport surface moisture and pollution from the planetary boundary layer to the upper troposphere (UT) within a few minutes. The convective transport of precursors of both ozone and aerosols from the planetary boundary layer affects the concentrations of these constituents in the UT and can influence the Earth's radiation budget and climate. Some precursors of both ozone and aerosols are soluble and reactive in the aqueous phase. This study uses the Weather Research and Forecasting model coupled with Chemistry (WRF‐Chem) to simulate the wet scavenging of precursors of both ozone and aerosols including CH2O, CH3OOH, H2O2, and SO2 in a supercell system observed on 29 May 2012, during the 2012 Deep Convective Clouds and Chemistry (DC3) field campaign at cloud‐parameterized resolution. The default WRF‐Chem simulations underestimate the mixing ratios of soluble ozone precursors in the UT because the dissolved soluble trace gases are not released when the droplets freeze. In order to improve the model simulation of cloud‐parameterized wet scavenging, we added ice retention factors for various species to the cloud‐parameterized wet scavenging module and adjusted the conversion rate of cloud water to rainwater at temperatures below freezing in the cloud parameterization as well as in the subgrid‐scale wet‐scavenging calculation. The introduction of these model modifications greatly improved the model simulation of less soluble species.

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“…The physics package used here is similar to C2017 but with the advancement of computational cost and physical process. For example, the Rapid Radiative Transfer Model for GCMs scheme for shortwave and longwave radiation was improved in terms of computational cost (Baek, ), the Noah land surface model was upgraded from version 3.0 to the latest (version 3.4.1) with new surface input parameters (Koo et al, ), and the updated version of the simplified Arakawa‐Schubert convection scheme (Han et al, ; Kwon & Hong, ), which can be used in various model grids across gray‐zone resolutions, was used. In addition, a simple sea‐ice model was introduced with a newly created climatological data for ice thickness (Koo et al, ).…”

Section: Model Methods and Experimental Designmentioning

confidence: 99%

A Parameterization of Turbulent‐Scale and Mesoscale Orographic Drag in a Global Atmospheric Model

2018

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The effect of drag due to subgrid orography with turbulent scales, the so‐called turbulent orographic form drag, is introduced by revising the surface exchange coefficient for momentum, to alleviate the overall positive bias in wind speed in the near‐surface and low‐level troposphere over land. Also, the excessive flow‐blocking drag, responsible for negative biases in low‐level wind speed over highly complex terrains, is abated by modifying the height of the blocked layer, which is achieved without a significant deficiency of total surface drag because of additional turbulent orographic form drag. The impact of the revised subgrid‐scale orography parameterization is investigated on the medium‐range forecast (January and July 2016) and seasonal ensemble prediction (June–August 2013 and December 2013 to February 2014) regarding stress partitioning and skill scores. With the revised subgrid‐scale orography schemes, total surface stress and its partitioning resemble those of the ERA‐Interim. Meanwhile, the turbulent (mesoscale orographic) stress is enhanced (reduced) due to the additional turbulent orographic form drag (weakened flow‐blocking drag). For the medium‐range forecast, systematic biases in near‐surface and low‐level wind speed are satisfactorily rectified by adding turbulent orographic form drag (reducing flow‐blocking drag) in the regions with positive biases across the land (negative biases over highly complex terrains) against reanalysis, as well as observation data. Seasonal simulation is also improved because the weak polar night jet and the corresponding warm pole biases are alleviated by the reductions of the orographic gravity wave and resolved wave drag, which are driven by the revised low‐level drag.

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Sensitivity of a Cumulus Parameterization Scheme to Precipitation Production Representation and Its Impact on a Heavy Rain Event over Korea

Cited by 50 publications

References 28 publications

Winter and Summer Rossby Wave Sources in the CMIP5 Models

Winter and Summer Rossby Wave Sources in the CMIP5 Models

Wet Scavenging in WRF‐Chem Simulations of Parameterized Convection for a Severe Storm During the DC3 Field Campaign

A Parameterization of Turbulent‐Scale and Mesoscale Orographic Drag in a Global Atmospheric Model

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