Impacts of subgrid-scale orography parameterization on simulated atmospheric fields over Korea using a high-resolution atmospheric forecast model

Lim, Kyo‐Sun Sunny; Lim, Jong Myoung; Shin, Hyeyum Hailey; Hong, Jinkyu; Ji, Young Yong; Lee, Wanno

doi:10.1007/s00703-018-0615-4

Cited by 7 publications

(8 citation statements)

References 21 publications

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“…Consistent with the revealed feature in surface precipitation, Morrison rarely produces graupel over the layers and produces significantly less snow and more cloud water. Although WDM6 and WSM6 show different features in the vertical profile of cloud water, which could be caused by the different treatment of warm rain processes in the two schemes (Lim and Hong 2010), both simulations show substantial amounts of cloud ice. To understand which microphysics process is responsible for the abundant generation of cloud ice and the positive bias in surface precipitation, we conducted a microphysics budget analysis with WDM6 and WSM6.…”

Section: A Comparison Of Microphysics Parameterizations For Case1mentioning

confidence: 91%

“…WSM6 only predicts mixing ratios for all hydrometeors. Meanwhile, WDM6 was developed by adding the number concentrations for warm-phase physics to WSM6 (Lim and Hong 2010). Thompson predicts the number concentration and mixing ratio of cloud ice and rain but predicts only the mixing ratio for other hydrometeors.…”

Section: Experimental Setup a Model Configurationmentioning

confidence: 99%

“…WDM6 has been updated several times since the work by Lim and Hong (2010) from the process of raindrop evaporation to cloud condensation nuclei. This process parameterizes the situation where the whole amount of rain mass is evaporated, thus converting the rain number concentrations into the number of cloud condensation nuclei.…”

Section: Experimental Setup a Model Configurationmentioning

confidence: 99%

“…Weather Research and Forecasting (WRF) double-moment 6-class (WDM6) (Lim and Hong 2010) and WRF singlemoment 6-class (WSM6) (Hong and Lim 2006) cloud microphysics parameterizations have been widely evaluated for summer precipitation events over the Korean Peninsula Min et al 2015;Song and Sohn 2018), excluding winter precipitation events. These two parameterizations share the same ice microphysics process, which is based on the work by Hong et al (2004), who introduced a new diagnosis of ice number concentration that depends on the cloud ice mass.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Simulated Winter Precipitation Using WRF-ARW during the ICE-POP 2018 Field Campaign

Lim

Chang

Sun

et al. 2020

Weather and Forecasting

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This study evaluates the performance of several cloud microphysics parameterizations in simulating surface precipitation for two snowstorm cases during the International Collaborative Experiment held at the PyeongChang 2018 Olympics and Winter Paralympic Games (ICE-POP 2018) field campaign. We compared four different schemes in the Weather Research and Forecasting (WRF) model, namely the Double-Moment 6-class (WDM6), the WRF Single-Moment 6-class (WSM6), and Thompson and Morrison parameterizations. Both WSM6 and WDM6 overestimated the precipitation amount for the shallow precipitation system because of the substantial amount of cloud ice, mostly generated by the deposition process. The simulated precipitation amount and distribution for the deep precipitation system showed no noticeable differences in the different cloud microphysics parameterizations. However, the simulated hydrometeor type at the surface using WSM6 and WDM6 showed good agreement with observations for all cases. The accuracy of the mean mass-weighted terminal velocity of cloud ice (VI¯) applied in WSM6 and WDM6 is ±20%. The number concentration of cloud ice and the ice microphysics processes are newly retrieved with 1.2 times increased VI¯. For the shallow snowstorm, the precipitation amount was reduced by approximately 8% because of the inefficient deposition and its effects on the subsequent ice microphysical processes, such as the accretion of cloud ice by snow and the conversion from cloud ice to snow.

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Section: A Comparison Of Microphysics Parameterizations For Case1mentioning

confidence: 91%

Section: Experimental Setup a Model Configurationmentioning

confidence: 99%

Section: Experimental Setup a Model Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of Simulated Winter Precipitation Using WRF-ARW during the ICE-POP 2018 Field Campaign

Lim

Chang

Sun

et al. 2020

Weather and Forecasting

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“…In South Korea, NPPs sit on complex terrains close to coastal and mountainous areas. Due to their topographical complexity, the local meteorological fields near the NPPs are formed complicatedly under different synoptic weather conditions [5,12,15,16]. Lee et al [12] showed that local sea/ land breezes were critical in determining the atmospheric concentrations of radioactive materials near the Wolsong NPP.…”

Section: Introductionmentioning

confidence: 99%

Development of a Dynamic Downscaling Method for Use in Short-Range Atmospheric Dispersion Modeling Near Nuclear Power Plants

Lee¹,

Oh²,

Kim³

et al. 2023

J Radiat Prot Res

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Background: High-fidelity meteorological data is a prerequisite for the realistic simulation of atmospheric dispersion of radioactive materials near nuclear power plants (NPPs). However, many meteorological models frequently overestimate near-surface wind speeds, failing to represent local meteorological conditions near NPPs. This study presents a new high-resolution (approximately 1 km) meteorological downscaling method for modeling short-range (< 100 km) atmospheric dispersion of accidental NPP plumes.Materials and Methods: Six considerations from literature reviews have been suggested for a new dynamic downscaling method. The dynamic downscaling method is developed based on the Weather Research and Forecasting (WRF) model version 3.6.1, applying high-resolution land-use and topography data. In addition, a new subgrid-scale topographic drag parameterization has been implemented for a realistic representation of the atmospheric surface-layer momentum transfer. Finally, a year-long simulation for the Kori and Wolsong NPPs, located in southeastern coastal areas, has been made for 2016 and evaluated against operational surface meteorological measurements and the NPPs’ on-site weather stations.Results and Discussion: The new dynamic downscaling method can represent multiscale atmospheric motions from the synoptic to the boundary-layer scales and produce three-dimensional local meteorological fields near the NPPs with a 1.2 km grid resolution. Comparing the year-long simulation against the measurements showed a salient improvement in simulating near-surface wind fields by reducing the root mean square error of approximately 1 m/s. Furthermore, the improved wind field simulation led to a better agreement in the Eulerian estimate of the local atmospheric dispersion. The new subgrid-scale topographic drag parameterization was essential for improved performance, suggesting the importance of the subgrid-scale momentum interactions in the atmospheric surface layer.Conclusion: A new dynamic downscaling method has been developed to produce high-resolution local meteorological fields around the Kori and Wolsong NPPs, which can be used in short-range atmospheric dispersion modeling near the NPPs.

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A numerical simulation of a strong windstorm event in the Taebaek Mountain Region in Korea during the ICE-POP 2018

Park

Kim

Shin

et al. 2022

Atmospheric Research

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Impacts of subgrid-scale orography parameterization on simulated atmospheric fields over Korea using a high-resolution atmospheric forecast model

Cited by 7 publications

References 21 publications

Evaluation of Simulated Winter Precipitation Using WRF-ARW during the ICE-POP 2018 Field Campaign

Evaluation of Simulated Winter Precipitation Using WRF-ARW during the ICE-POP 2018 Field Campaign

Development of a Dynamic Downscaling Method for Use in Short-Range Atmospheric Dispersion Modeling Near Nuclear Power Plants

A numerical simulation of a strong windstorm event in the Taebaek Mountain Region in Korea during the ICE-POP 2018

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