Implementation of a gust front head collapse scheme in the WRF numerical model

Lompar, Miloš; Ćurić, Mladjen; Romanić, Djordje

doi:10.1016/j.atmosres.2017.12.018

Cited by 27 publications

(23 citation statements)

References 67 publications

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“…In the next hour (until 0950 UTC), the temperature dropped for 4°C. This relationship between air temperature and wind velocity demonstrates that 305 the increase of wind speed was caused by a spread of cold air in the form of a gust front that originated from the thunderstorm cloud (Charba, 1974;Wakimoto, 1982;Mueller and Carbone, 1987;Droegemeier and Wilhelmson, 1987;Lompar et al, 2018). The subsequent increase of surface air pressure (Fig.…”

Section: Local Observationsmentioning

confidence: 89%

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Investigation of the weather conditions during the collapse of the Morandi Bridge in Genoa on 14 August 2018

Burlando

Romanić

Boni

et al. 2019

Preprint

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Abstract. On 14 August 2018, Morandi Bridge in Genoa, Italy, collapsed sending vehicles and tons of rubble to the ground about 40 m below and killing 43 people. Preliminary investigations indicated poor design, questionable building practices and insufficient maintenance or a combination of these factors as a possible cause of collapse. However, at the time of collapse, a thunderstorm associated with strong winds, lightning and rain was developed over the city. While it is still not clear whether or not it played a role in this disaster, the present paper documents the weather conditions during the collapse and analyzes in detail a downburst that occurred at the time of the collapse a few kilometers from the bridge. The thunderstorm is analyzed using direct and remote measurements in an attempt to describe the evolution of the cumulonimbus cloud as it approached the coast from the sea. The detected downburst is investigated using a lidar scanner and the anemometric network in the Port of Genoa. The paper shows that the unique lidar measurements enabled a partial reconstruction of the gust front shape and displacement velocity. The Weather Research and Forecasting (WRF) simulations, carried out with three different forcing conditions, forecasted the cumuliform convection at larger scales but did not accurately replicate the downburst signature at the surface that was measured by radar, lidar, and anemometers. This result demonstrates that the localized wind conditions during the collapse time could not be operationally forecasted.

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Section: Local Observationsmentioning

confidence: 89%

“…This displacement of the region of the maximum velocity with height is a characteristics of the radially advancing gust front of cold air in front of the thunderstorm cloud (Charba, 1974;Wakimoto, 1982;Mueller and Carbone, 1987;Droegemeier and Wilhelmson, 1987;Lompar et al, 2018). Further, Fig.…”

mentioning

confidence: 94%

Investigation of the weather conditions during the collapse of the Morandi Bridge in Genoa on 14 August 2018

Burlando

Romanić

Boni

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

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“…Despite this phenomenon being well known to the local meteorologists, it is not described adequately in literature due to the limited number of studies that focused on this region of Arabian Peninsula. The detail description of this event is presented in Lompar et al (2018) [31]. The verification of WRF simulation against satellite measurements showed in [31] showed that the model produced less convection than the observed amount.…”

Section: Description Of Test Casesmentioning

confidence: 97%

“…These two cases are then compared against each other as well as against the control case when seeding was not conducted. While numerous studies focused on verifying WRF forecasts in terms of accumulated surface precipitation and cloud cover by investigating different physical packages and/or geographical regions around the world (e.g., [16,25,31,32]), this article is the first study that introduces the CSNT aerosol into the WRF model and tests its performances under real weather conditions. The CSNT substance has not yet been tested in real atmosphere and therefore a comparison against seeding field projects is not possible at this point.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Modelling of Precipitation Enhancement by Cloud Seeding in Three Different Climate Zones

Ćurić

Lompar²,

Romanić

et al. 2019

Atmosphere

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This study numerically investigates precipitation enhancement from cumuliform clouds in three different climate regions: (1) Arid climate of the United Arab Emirates (UAE); (2) maritime climate of Thailand; and (3) continental climate of Serbia. Recently developed core/shell sodium chloride (NaCl)/titanium dioxide (TiO2) nanostructure (CSNT) aerosol was tested as a precipitation enhancer in all three climate regions. Previous experimental studies in cloud chambers and idealized numerical simulations demonstrated that CSNT is a significantly more effective precipitation enhancer than the traditional NaCl. Here, CSNT and NaCl seeding agents are incorporated into the WRF (Weather Research and Forecasting) model microphysics with explicate treatment of aerosol. Our results show that CSNT is a profoundly more effective precipitation enhancer in the case of arid climate characterized with low humidity. The accumulated surface precipitation in the arid test was 1.4 times larger if CSNT seeding agent was used instead of NaCl. The smallest difference in the effectiveness between CSNT and NaCl was observed in the maritime case due to their similar activation properties at high values of relative humidity.

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“…This is likely due to the lower spatial resolution of CCAM (∼1 km). In addition, Lompar et al (2018) suggested that by including gust front scheme higher cumulative rainfall amounts can be expected. At 19 UTC, the convective activity weakened but the cell only slowly moved eastwards (Fig.…”

Section: Ccammentioning

confidence: 99%

The Hamburg Tornado (7 June 2016) from the perspective of low-cost high-resolution radar data and weather forecast model

Hoffmann

Merker

Lengfeld

et al. 2018

Atmospheric Research

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A B S T R A C TA tornado hit the northeastern suburbs of Hamburg, Germany, on 7 June 2016. It had an estimated strength of upper end F1 on the Fujita scale and was short-lived with an approximate duration of only 13 min and a path length of just about 1.3 km. We demonstrate that such a small-scale, extreme event can be observed and forecasted accurately by a low-cost radar and by an atmospheric model with low computational costs, respectively.Observations from a low-cost single polarized X-band radar covering the urban area of Hamburg with 60 m spatial and 30 s temporal resolution are analyzed with respect to their ability to capture the development as well as the track of the tornado. In contrast to the national C-band radar network, the X-band radar is capable of capturing the hook echo of the tornado as well as the circular pattern in rain rates, because of its higher resolution in space and time.High-resolution forecasts of the tornado event are conducted with the computational efficient Conformal Cubic Atmosphere Model (CCAM) in order to test the capability of predicting the tornado with a lead time of a few hours. A three step downscaling method is used to obtain a spatial resolution of 1 km with initial conditions taken from the NCEP analysis. Calculated severe weather indices clearly indicate a potential for a tornado. CCAM cannot explicitly resolve small scale tornadic features but the model simulates a strong convective cell only a few kilometers apart from the tornadic thunderstorm observed by the radar.

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Implementation of a gust front head collapse scheme in the WRF numerical model

Cited by 27 publications

References 67 publications

Investigation of the weather conditions during the collapse of the Morandi Bridge in Genoa on 14 August 2018

Investigation of the weather conditions during the collapse of the Morandi Bridge in Genoa on 14 August 2018

Three-Dimensional Modelling of Precipitation Enhancement by Cloud Seeding in Three Different Climate Zones

The Hamburg Tornado (7 June 2016) from the perspective of low-cost high-resolution radar data and weather forecast model

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