Sensitivity of WRF microphysics schemes: case study of simulating a severe rainfall over Egypt

Eltahan, Muhammed; Magooda, Mohammed

doi:10.1088/1742-6596/1039/1/012024

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…The cumulus convection parameterization scheme, cloud microphysics parameterization scheme, and planetary boundary layer scheme have the greatest impact on rainfall. In the selection of parameterization schemes in this paper, Lin (ElTahan & Magooda, 2017), KF (Kain, 2004) and YSU (Hong, Noh, & Dudhia, 2006) are adopted as the cloud microphysics parameterization scheme, cumulus convection parameterization scheme, and planetary boundary layer scheme, respectively. The Lin scheme is a complex programme that includes ice, snow and ice particle processes suitable for high‐resolution real‐time data simulations.…”

Section: Methodsmentioning

confidence: 99%

Quantifying the impact of urbanization on wet deposition over Xiong'an New Area in northern China

Wang,

Wan,

et al. 2024

Water & Environment J

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Xiong'an New Area (XNA) in China is undergoing rapid urbanization due to economic development and population growth. However, the urbanization process can significantly impact the local environment. This study applied a combined method of Weather Research and Forecasting (WRF) and empirical calculations to quantitatively identify changes in precipitation and wet deposition over XNA and its internal lake, Baiyangdian (BYD), during the summer months of June to September. Five different urbanization scenarios were established by varying the WRF subsurface conditions. By comparing these scenarios with historical observations, it was found that WRF simulations could effectively reproduce the precipitation and temperature changes in the region. This study examined how different levels of urbanization affect precipitation and estimated changes in PM2.5 wet deposition. The study's results indicate that as urbanization increases, it leads to an increase in precipitation and wet deposition in the XNA region. Using the relatively low urbanization level in 1980 as a benchmark for comparison, it was observed that when XNA becomes fully urbanized, the increase in precipitation and wet deposition in the region exceeds 7%. The BYD Lake can have a moderating effect on the environment, absorbing more than 50% of the local precipitation and PM2.5 wet deposition with less than 25% of its area, compared to the XNA interval of the statistics, while the increase in wet deposition in the BYD Lake area is more than 4% after full urbanization in XNA. The findings also emphasize the importance of the need to balance economic growth and environmental protection in urban planning and development.

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Section: Methodsmentioning

confidence: 99%

Quantifying the impact of urbanization on wet deposition over Xiong'an New Area in northern China

Wang,

Wan,

et al. 2024

Water & Environment J

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“…Various researches have been conducted to reveal the cloud microphysics sensitivity of the models with in the prediction of thunderstorms, squall lines and associated precipitations over different region (e.g. McCumber 1991;Reisner et al 1998;Gilmore et al 2004;Naegele 2014;Tan 2016;Shrestha et al 2017;Stergiou et al 2017;Chawla et al 2018;Eltahan and Magooda 2018;Gboode et al 2018). Rajeevan et al (2010) examined sensitivity of the WRF cloud microphysics to simulations of a severe thunderstorm event over southeast India.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of WRF microphysics schemes in the simulation of a squall line over IRAN using radar and reanalysis data

Karimkhani

Azadi

Meshkatee

et al. 2021

Nexo Revista Científica

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A squall line was recorded in Dayyer port over southwest of Iran, on 19 Mar 2017. In the present paper, we have simulated the characteristic features associated with the squall line by Weather Research and Forecasting (WRF) model using five different microphysics (MP) schemes. For validating the simulated characteristics of the squall line, the latitude-height and longitude-height cross section reflectivity and precipitation value derived from observed reflectivity gathered by Doppler Weather Radar at Bushehr, synoptic weather station data at Dayyer port along with NCEP-NCAR and ERA-INTERIM reanalyzes data were used. To verify the simulated precipitation, the Fractions Skill Score (FSS) curve was calculated. Examining the simulation results for geopotential and sea level pressure show that the model simulations using different MP schemes, agree well with the verifying reanalyzes. Also, the spatial rainfall distribution of simulations and verifying observations did not show big differences. However, there are significant differences in the details of simulations such as the maximum reflectivity of the convective cells, vertical extent of the storm cells, speed and direction of the wind, rainfall values and FSS curves. Though, all of the simulations have shown convective cells over Dayyer port at the time of occurrence of the squall line, but, only the model simulation using Lin MP scheme is consistent with the corresponding radar reflectivity and vertical extent. The FSS chart showed that the skill changes with spatial scale. Results using Lin microphysics scheme crossed the FSSuniform line at lower scales when compared to other MP schemes.

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Analyses of industrial air pollution and long-term health risk using different dispersion models and WRF physics parameters

Bayraktar,

Mutlu

2024

Air Qual Atmos Health

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This study consists of three main sections. The first section delves into a performance analysis centered around modeling PM10, NOx, and CO emissions from a cement factory. It examines the effectiveness of various factors, including meteorological data, physics models, and air quality dispersion models, in producing accurate results for atmospheric simulations. The second section covers the dispersion direction and concentrations obtained by visualizing the dispersion maps. The third section covers an analysis of heavy metals emitted from the facility, taking into account potential risks in the region such as cancer, acute and chronic effects, and long-term respiratory risks. This study made use of meteorological models (WRF, AERMET, and CALMET), air quality dispersion models (AERMOD and CALPUFF), a health risk analysis model (HARP), and various sub-models (MMIF and CALWRF). Satellite meteorological data were obtained from NCEP and ERA, with the majority of meteorological data based on the Global Data Assimilation System (GDAS)/Final Operational Global Analysis (FNL) from Global Tropospheric Analyses and Forecast Grids used for the WRF model. In the daily results, AERMOD showed the highest concentration values, but CALPUFF had greater concentrations throughout the annual period. The winter season had the highest concentrations of pollutants. Although there are differences among the physics models used in this research, the conclusions produced are consistent. Analysis of the data from the HARP model suggested that cancer risk levels exceeded the threshold of one person per million. However, the proportion of exceedance instances is rather small in comparison to the receptor points.

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Sensitivity of WRF microphysics schemes: case study of simulating a severe rainfall over Egypt

Cited by 7 publications

References 12 publications

Quantifying the impact of urbanization on wet deposition over Xiong'an New Area in northern China

Quantifying the impact of urbanization on wet deposition over Xiong'an New Area in northern China

Evaluation of WRF microphysics schemes in the simulation of a squall line over IRAN using radar and reanalysis data

Analyses of industrial air pollution and long-term health risk using different dispersion models and WRF physics parameters

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