Effect of different microphysics scheme on WRF model: A simulation of hail event study case in Surabaya, Indonesia

Sari, Fitria Puspita; Baskoro, Ary Pulung; Hakim, Oky Sukma

doi:10.1063/1.5047287

Cited by 5 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The same condition was not observed for the MI station point, since the model simulated an intense qrain zone in a layer contiguously below the 0°C isotherm. This may be due to the conversion of qsnow to rain hydrometeor after passing through the melt layer (Sari et al, 2018). In figure 9, it is confirmed that the model represented warmer near-surface temperatures during the event compared to the data observed in the stations.…”

Section: Vertical Profile Of Hydrometeor Class Simulationsupporting

confidence: 63%

“…Attention was drawn to the choice of an advanced cloud microphysics parameterization scheme capable of solving precipitation processes in various types of hydrometeor classes. WSM6 (Hong & Lim, 2006) is a tested scheme for simulating various precipitation types, including snow (Yu, 2013;Min et al, 2015;Liu et al, 2019;Molthan & Colle, 2012;Sari et al, 2018;Yáñez-Morroni et al, 2018;Tiwari et al, 2018;Kar & Tiwari, 2020), being able to solve cloud physics in 6 types classes: water vapor, cloud water, cloud ice, snow, rain and graupel.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Weather Reasearch and Forecasting Model Simulation of a Snowfall Event in Southern Brazil

Mollmann

Alves

Munchow

et al. 2021

Rev. Bras. Geog. Fis.

View full text Add to dashboard Cite

This study evaluates the reliability of the Weather Research and Forecasting (WRF) to simulate a snowfall event in the south of Brazil. The event in August 2013 was considered one of the most intense in recent years in the region with the highest topographic elevations between the states of Rio Grande do Sul (RS) and Santa Catarina (SC). The Snowfall in the mountain region of RS and SC was associated with the configuration involving a polar anticyclone and the intensification of an extratropical cyclone over the Atlantic Ocean. The WRF simulation results demonstrated the model's viability to predict the event, but without the magnitude representation of the phenomenon. The WRF simulation underestimated the results for the accumulated and area of the snowfall region, which may be linked to overestimations of surface and vertical air temperature and liquid water precipitation. These results were attributed to the choice of WRF Single–moment 6–class (WSM6) microphysics and in the Noah Land Surface Model scheme. Despite these limitations, WRF has proved to be an important tool for predicting the spatial and temporal distribution of snowfall and precipitation in the higher regions of southern Brazil.

show abstract

Section: Vertical Profile Of Hydrometeor Class Simulationsupporting

confidence: 63%

Section: Methodsmentioning

confidence: 99%

Weather Reasearch and Forecasting Model Simulation of a Snowfall Event in Southern Brazil

Mollmann

Alves

Munchow

et al. 2021

Rev. Bras. Geog. Fis.

View full text Add to dashboard Cite

show abstract

“…However, the WRF simulation in this study gave unsatisfactory results in simulating surface wind speed and surface pressure. The difficulty of the WRF model in simulating surface wind and surface air pressure is also experienced in another research in Indonesia by Sari et al [30], which also use WSM6 contained in the 'tropical suite' as a microphysics scheme in their WRF model.…”

Section: Wrf Verificationmentioning

confidence: 95%

Identification of Mountain Waves and Their Characteristics in the Central Java Region based on the WRF Numerical Weather Model

Kristianto,

Claudia,

Virgianto

2023

Trends Sci

View full text Add to dashboard Cite

One of the factors that influence the complexity of the weather and climate phenomena in Indonesia is the diverse topographical conditions. The Mountain waves are quite common in Indonesia, especially on the island of Java, which has several mountains with quite high peaks. The existence of mountain waves can be known from the presence of lenticularis clouds both on top of the mountain are regularly reported by residents in the area of Mount Ungaran and Mount Lawu in Centra Java. This study utilized the Weather Reasearch Forecast (WRF), a numerical weather model to identify mountain waves and their characteristics in Mount Ungaran and Mount Lawu. The results of the study are that there were 2 mountain wave events in Mount Ungaran on 9 September 2018 with an average duration of 5 h, and horizontal wavelengths reaches 28 km. During that mountain wave events, there was also a type 1 rotor with dominant positive vorticity and a breaking pattern that indicates the potential for strong turbulence which is supported by critical Ri value at a distance of 30 - 90 m on the leeward side. Meanwhile, in Mount Lawu case on 9 March 2019, the mountain wave onset occurs during the day is in the afternoon, its duration is 2 h, wavelengths ranging from 5.9 to 6.1 km, where in the leeward side has no strong turbulence potential. In general, WRF can simulate both mountain waves and rotors, but has not been able to properly simulate the downslope windstorms. HIGHLIGHTS There were 2 mountain wave events that occurred at Mount Ungaran on 9 September 2018. The classification of mountain waves obtained from on cross section analysis of vertical wind speed around the mountain is vertically propagating wave The type of rotor formed at Mount Ungaran is a type 1 rotor a type 1 rotor with a dominant positive vorticity value In Mount Lawu case on 9 March 2019, the onset of waves occurred during the day and then dissipated in the afternoon with wavelengths ranging from 5.9 to 6.1 km In Mount Lawu case, on the leeward side of the mountain, there was no potential for turbulence at that location WRF can simulate mountain waves and rotors well, but can't simulate well the downslope windstorm on Mount Ungaran GRAPHICAL ABSTRACT

show abstract

“…Not only do they occur in mountainous regions with low temperatures, but hail phenomena have also been spotted in urban areas. Hail is considered extreme weather because it can damage properties and threaten human lives (Chatterjee et al, 2008;Sari et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Identifying Hail Events Using Weather Radar and Satellite Data (Study Case in East Java on 23 December 2021)

Widadi,

Pratama

2023

WSNT

View full text Add to dashboard Cite

Hail is an extreme weather phenomenon that rarely occurs in tropical regions such as Indonesia. However, if convective clouds are strong enough to develop higher, a hail event is likely to occur. Interestingly, on 23 December 2021, hail events occurred in four different nearby locations. Weather Radar data from the Juanda Meteorological Station and Himawari-8 Satellite data were used to analyse this hail phenomenon. The Radar measured reflectivity values, cloud top height, water vapour content, and the derivative product of the probability of hail occurrence. The Himawari-8 data were utilised to observe cloud top temperatures. From the results, it is known that the reflectivity value of hail is in the range of 45 dBZ to 55 dBZ, with a probability of hail above 80%, and the temperature at the top of the Cumulonimbus cloud is between -67.5°C to -82.5°C. These thresholds may be used in monitoring hail events, especially in the East Java region.

show abstract

Effect of different microphysics scheme on WRF model: A simulation of hail event study case in Surabaya, Indonesia

Cited by 5 publications

References 20 publications

Weather Reasearch and Forecasting Model Simulation of a Snowfall Event in Southern Brazil

Weather Reasearch and Forecasting Model Simulation of a Snowfall Event in Southern Brazil

Identification of Mountain Waves and Their Characteristics in the Central Java Region based on the WRF Numerical Weather Model

Identifying Hail Events Using Weather Radar and Satellite Data (Study Case in East Java on 23 December 2021)

Contact Info

Product

Resources

About