Large‐eddy simulations of Hector the convector making the stratosphere wetter

Dauhut, Thibaut; Chaboureau, Jean‐Pierre; Escobar, Juan José; Mascart, Patrick

doi:10.1002/asl2.534

Cited by 50 publications

(78 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If it is spatially averaged, it does not exceed 0.6 m s −1 . The values of the maximum vertical velocity for N30 are very close to those obtained with the LES simulations by Dauhut et al (2014). The maximum updraft obtained by MM5 is approximately 22 m s −1 , sustained for a height up to 8-16 km (not shown) and the structure is very close to the one simulated by Meso-NH, using horizontal resolutions of 400, 200 and 100 m (Fig.…”

Section: Cloud Total Condensate and Vertical Velocity Profiles For Thsupporting

confidence: 81%

“…The maximum updraft obtained by MM5 is approximately 22 m s −1 , sustained for a height up to 8-16 km (not shown) and the structure is very close to the one simulated by Meso-NH, using horizontal resolutions of 400, 200 and 100 m (Fig. 3a in Dauhut et al, 2014). The absolute maximum of the total condensate matter is approximately 1.5 g m −3 for the first cell of N27 (Fig.…”

Section: Cloud Total Condensate and Vertical Velocity Profiles For Thsupporting

confidence: 67%

“…Simulations were performed for a Hector event observed on 30 November 2005 by Dauhut et al (2014) using the Meso-NH (mesoscale non-hydrostatic) model, performed with a grid spacing of 1600, 800, 400, 200 and 100 m. The updraft generally decreases with reduced resolution due to the reduced entrainment into the base of the updrafts. Indeed, the strong updrafts in the boundary layer obtained by the three finest simulations reinforce the updrafts in the upper troposphere.…”

Section: S Gentile and R Ferretti: Key Meteorological Parameters Tomentioning

confidence: 99%

See 2 more Smart Citations

Seeking key meteorological parameters to better understand Hector

Gentile

Ferretti

2016

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Twelve Hector events, a storm which develops in northern Australia, are analyzed with the aim of identifying the main meteorological parameters involved in the storm's convective development. Based on Crook's ideal study (Crook, 2001), wind speed and direction, wind shear, water vapor, convective available potential energy and type of convection are the parameters used for this analysis. Both the European Centre for Medium-Range Weather Forecasts (ECMWF) analysis and high-resolution simulations from the Fifth-Generation Mesoscale Model (MM5) are used. The MM5 simulations are used to connect the mean vertical velocity to the total condensate at the maximum stage and to study the dynamics of the storms. The ECMWF analyses are used to evaluate the initial conditions and the environmental fields contributing to Hector's development. The analysis suggests that the strength of convection, defined in terms of vertical velocity, largely contributes to the vertical distribution of hydrometeors. The role of total condensate and mean lifting versus low-level moisture, convective available potential energy, surface wind and direction is analyzed for shear and no-shear conditions to evaluate the differences between type A and B for real events. Results confirm the tendency suggested by Crook's analysis. However, Crook's hypothesis of low-level moisture as the only parameter that differentiates between type A and B can only be applied if the events develop in the same meteorological conditions. Crook's tests also helped to assess how the meteorological parameters contribute to Hector's development in terms of percentage.

show abstract

Section: Cloud Total Condensate and Vertical Velocity Profiles For Thsupporting

confidence: 81%

Section: Cloud Total Condensate and Vertical Velocity Profiles For Thsupporting

confidence: 67%

Section: S Gentile and R Ferretti: Key Meteorological Parameters Tomentioning

confidence: 99%

See 1 more Smart Citation

Seeking key meteorological parameters to better understand Hector

Gentile

Ferretti

2016

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…These 5 computers are now sufficient to perform seamless modeling of weather events and to study their scale interactions over large grids (Pantillon et al, 2013;Paoli et al, 2014;Bergot et al, 2015;Dauhut et al, 2015). Pantillon et al (2013) Bergot et al (2015) performed LESs of radiation fog over an airport area to study the effect of an urban canopy on the fog.…”

Section: Large Computational Grid Applicationsmentioning

confidence: 99%

“…It is now a fast and highly parallel code (Jabouille et al, 1999) able to run on computers with more than 100,000 cores. This is indeed a key requirement to be able to perform LESs over large-grid domains (Dauhut et al, 2015). The Meso-NH code has been open access since its version 5.1, and a comprehensive scientific and technical documentation is available on the Meso-NH web 15 site (mesonh.aero.obs-mip.fr).…”

mentioning

confidence: 99%

Overview of the Meso-NH model version 5.4 and its applications

Lac¹,

Chaboureau²,

Masson³

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. This paper presents the Meso-NH model version 5.4. Meso-NH is an atmospheric non hydrostatic research model that is applied to a broad range of resolutions, from synoptic to turbulent scales, and is designed for studies of physics and chemistry. It is a limited-area model employing advanced numerical techniques, including monotonic advection schemes for scalar transport and fourth-order centered or odd-order WENO advection schemes for momentum. The model includes stateof-the-art physics parameterization schemes that are important to represent convective-scale phenomena and turbulent eddies, and cyclones with ocean coupling. Here, we present the main innovations to the dynamics and physics of the code since the pioneer paper of Lafore et al. (1998) and provide an overview of recent applications and couplings.

show abstract

Modeling the TTL at Continental Scale for a Wet Season: An Evaluation of the BRAMS Mesoscale Model Using TRO‐Pico Campaign, and Measurements From Airborne and Spaceborne Sensors

et al. 2018

View full text Add to dashboard Cite

In order to better understand the water vapor (WV) intrusion into the tropical stratosphere, a mesoscale simulation of the tropical tropopause layer using the BRAMS (Brazilian version of Regional Atmospheric Modeling System (RAMS)) model is evaluated for a wet season. This simulation with a horizontal grid point resolution of 20 km × 20 km cannot resolve the stratospheric overshooting convection (SOC). Its ability to reproduce other key parameters playing a role in the stratospheric WV abundance is investigated using the balloon‐borne TRO‐Pico campaign measurements, the upper‐air soundings over Brazil, and the satellite observations by Aura Microwave Limb Sounder, Microwave Humidity Sounder, and Geostationary Operational Environmental Satellite 12. The BRAMS exhibits a good ability in simulating temperature, cold‐point, WV variability around the tropopause. However, the simulation is typically observed to be warmer by ∼2.0°C and wetter by ∼0.4 ppmv at the hygropause, which can be partly affiliated with the grid boundary nudging of the model by European Centre for Medium‐Range Weather Forecasts operational analyses. The modeled cloud tops show a good correlation (maximum cross‐correlation of ∼0.7) with Geostationary Operational Environmental Satellite 12. Furthermore, the overshooting cells detected by Microwave Humidity Sounder are observed at the locations, where 75% of the modeled cloud tops are higher than 11 km. Finally, the modeled inertia‐gravity wave periodicity and wavelength are comparable with those deduced from the radio sounding measurements during TRO‐Pico campaign. The good behavior of BRAMS confirms the SOC contribution in the WV abundance, and variability is of lesser importance than the large‐scale processes. This simulation can be used as a reference run for upscaling the impact of SOC at a continental scale for future studies.

show abstract

Large‐eddy simulations of Hector the convector making the stratosphere wetter

Cited by 50 publications

References 28 publications

Seeking key meteorological parameters to better understand Hector

Seeking key meteorological parameters to better understand Hector

Overview of the Meso-NH model version 5.4 and its applications

Modeling the TTL at Continental Scale for a Wet Season: An Evaluation of the BRAMS Mesoscale Model Using TRO‐Pico Campaign, and Measurements From Airborne and Spaceborne Sensors

Contact Info

Product

Resources

About