Numerical simulation of a rare winter hailstorm event over Delhi, India on 17 January 2013

Chevuturi, Amulya; Dimri, A. P.; Gunturu, Udaya Bhaskar

doi:10.5194/nhess-14-3331-2014

Cited by 14 publications

(13 citation statements)

References 28 publications

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“…Of those available in the literature, studies such as Sing and Mandal (2014) found that the Goddard scheme has a "slightly better" performance than other schemes. This conclusion is also supported by studies such as Choudhury and Das (2017) and has been used in hailstorm studies such as Chevuturi et al (2014). The impact of the downscaling ratio on the rainfall simulations is addressed next.…”

Section: Model Configuration and Experimental Setupmentioning

confidence: 56%

Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin

Chawla¹,

Osuri²,

Mujumdar³

et al. 2018

Hydrol. Earth Syst. Sci.

122

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Abstract. Reliable estimates of extreme rainfall events are necessary for an accurate prediction of floods. Most of the global rainfall products are available at a coarse resolution, rendering them less desirable for extreme rainfall analysis. Therefore, regional mesoscale models such as the advanced research version of the Weather Research and Forecasting (WRF) model are often used to provide rainfall estimates at fine grid spacing. Modelling heavy rainfall events is an enduring challenge, as such events depend on multi-scale interactions, and the model configurations such as grid spacing, physical parameterization and initialization. With this background, the WRF model is implemented in this study to investigate the impact of different processes on extreme rainfall simulation, by considering a representative event that occurred during 15-18 June 2013 over the Ganga Basin in India, which is located at the foothills of the Himalayas. This event is simulated with ensembles involving four different microphysics (MP), two cumulus (CU) parameterizations, two planetary boundary layers (PBLs) and two land surface physics options, as well as different resolutions (grid spacing) within the WRF model. The simulated rainfall is evaluated against the observations from 18 rain gauges and the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) 3B42RT version 7 data. From the analysis, it should be noted that the choice of MP scheme influences the spatial pattern of rainfall, while the choice of PBL and CU parameterizations influences the magnitude of rainfall in the model simulations. Further, the WRF run with Goddard MP, Mellor-Yamada-Janjic PBL and Betts-MillerJanjic CU scheme is found to perform "best" in simulating this heavy rain event. The selected configuration is evaluated for several heavy to extremely heavy rainfall events that occurred across different months of the monsoon season in the region. The model performance improved through incorporation of detailed land surface processes involving prognostic soil moisture evolution in Noah scheme compared to the simple Slab model. To analyse the effect of model grid spacing, two sets of downscaling ratios -(i) 1 : 3, global to regional (G2R) scale and (ii) 1 : 9, global to convection-permitting scale (G2C) -are employed. Results indicate that a higher downscaling ratio (G2C) causes higher variability and consequently large errors in the simulations. Therefore, G2R is adopted as a suitable choice for simulating heavy rainfall event in the present case study. Further, the WRF-simulated rainfall is found to exhibit less bias when compared with the NCEP FiNaL (FNL) reanalysis data.

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Section: Model Configuration and Experimental Setupmentioning

confidence: 56%

Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin

Chawla¹,

Osuri²,

Mujumdar³

et al. 2018

Hydrol. Earth Syst. Sci.

122

View full text Add to dashboard Cite

show abstract

“…Large scale and synoptic characteristics of the winter hailstorm and non-winter hailstorm has been discussed in previous papers (Chevuturi et al 2014;Chevuturi and Dimri 2015). In high resolution model simulations (for resolutions smaller than 3 km) cloud microphysics scheme estimates the precipitation rather than cumulus parameterization schemes (Chevuturi et al 2014).…”

Section: Aprilmentioning

confidence: 91%

“…As this study is based on numerical simulation method, model simulated output needs to be verified. The verification analysis and physical processes associated of the winter and non-winter hailstorm has been described in previous papers (Chevuturi et al 2014;Chevuturi and Dimri 2015). The synoptic information of the recent events also can be compiled.…”

Section: Synoptic Situationmentioning

confidence: 99%

“…This GCE microphysics scheme simulates six different hydrometeors or water particles: water vapour (WV), cloudwater (CW), cloudice (CI), rainwater (RW), snow and a third class of ice as hail in hail option or graupel in the graupel option. The hail option is used as it provides improved model simulation for the hailstorm cases (Chevuturi et al 2014;Chevuturi and Dimri 2015). Detailed experimental design is presented in Table 2, which provides the model configuration used in the experiments.…”

Section: Experimental Designmentioning

confidence: 99%

“…In high resolution model simulations (for resolutions smaller than 3 km) cloud microphysics scheme estimates the precipitation rather than cumulus parameterization schemes (Chevuturi et al 2014). Thus, in the experiments of model simulations the innermost domains with 3 and 1 km horizontal model resolutions were simulated with explicit representation of cumulus parameterization scheme In this study a detailed comparative analysis is presented for winter and non-winter hailstorm formation by using the innermost domain at 1 km horizontal model resolution.…”

Section: Aprilmentioning

confidence: 99%

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Inter-comparison of physical processes associated with winter and non-winter hailstorms using the weather research and forecasting (WRF) model

Chevuturi

Dimri

2015

Model. Earth Syst. Environ.

Self Cite

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Hailstorms are more frequent during non-winter whereas rare during winters due to the absence of increased surface temperature or low level of moisture incursion. This study shows a inter-comparison in the dynamics of winter and non-winter hailstorms reported over New Delhi, India using numerical simulation method. Non-winter hailstorms, formed due to increased instability due to low level convection and moisture incursion. Whereas rare instability conditions form due to low level available potential energy and moisture incursion along with upper level baroclinic instability due to the presence of western disturbance, led to winter hailstorm.

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Rare winter‐thunderstorms with hail overnight 12/13 December 2019 over Delhi and its vicinity: an observational study

Saha,

Prasad,

Rani

et al. 2024

Weather

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A rare overnight thunderstorm with hail on 12/13 December 2019 over Delhi was driven by a Westerly Disturbance (WD) and analysed with the aid of multi‐platform observations. The Doppler weather radar (DWR) detected high reflectivity values (>50dBZ), indicating hail within towering convective clouds. In‐situ measurements showed intense rainfall (totalling ~134mm), accompanied by strong wind gusts and a rapid pressure drop. Satellite data revealed widespread cold cloud tops (<−50°C) associated with the deep convection, while radiosonde profiles indicated atmospheric instability and veering winds during its passage. Lightning observations confirmed energetic convective updrafts. The event highlights the impact of WDs in triggering severe and rare winter convective storms over northern India.

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Numerical simulation of a rare winter hailstorm event over Delhi, India on 17 January 2013

Abstract: Abstract. This study analyzes the cause of the rare occurrence of a winter hailstorm over New

Cited by 14 publications

References 28 publications

Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin

Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin

Inter-comparison of physical processes associated with winter and non-winter hailstorms using the weather research and forecasting (WRF) model

Rare winter‐thunderstorms with hail overnight 12/13 December 2019 over Delhi and its vicinity: an observational study

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