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Dive into the research topics where Wolfgang Langhans is active.

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Featured researches published by Wolfgang Langhans.


Journal of the Atmospheric Sciences | 2014

Influence of the Background Wind on the Local Soil Moisture–Precipitation Feedback

Paul Arnaud Froidevaux; Linda Schlemmer; Juerg Schmidli; Wolfgang Langhans; Christoph Schär

AbstractThe importance of soil moisture anomalies on airmass convection over semiarid regions has been recognized in several studies. The underlying mechanisms remain partly unclear. An open question is why wetter soils can result in either an increase or a decrease of precipitation (positive or negative soil moisture–precipitation feedback, respectively). Here an idealized cloud-resolving modeling framework is used to explore the local soil moisture–precipitation feedback. The approach is able to replicate both positive and negative feedback loops, depending on the environmental parameters.The mechanism relies on horizontal soil moisture variations, which may develop and intensify spontaneously. The positive expression of the feedback is associated with the initiation of convection over dry soil patches, but the convective cells then propagate over wet patches where they strengthen and preferentially precipitate. The negative feedback may occur when the wind profile is too weak to support the propagation...


Journal of Applied Meteorology and Climatology | 2013

Long-Term Simulations of Thermally Driven Flows and Orographic Convection at Convection-Parameterizing and Cloud-Resolving Resolutions

Wolfgang Langhans; Juerg Schmidli; Oliver Fuhrer; Susanne Bieri; Christoph Schär

AbstractThe purpose of this paper is to validate the representation of topographic flows and moist convection over the European Alps in a convection-parameterizing simulation (CPM; Δx = 6.6 km) and two cloud-resolving simulations (CRM; Δx = 1.1 and 2.2 km). All simulations and further sensitivity experiments are validated against a large set of observations for an 18-day fair-weather summer period. The episode considered is characterized by pronounced plain–valley pressure gradients, strong daytime upvalley flows, and weak nighttime down-valley flows. In addition, convective precipitation is recorded during the late afternoon and is preceded by a phase of shallow convection. The observed transition from shallow to deep convection occurs within a 3-h period. The results indicate good agreement between both CRMs and the observed diurnal evolution in terms of near-surface winds, cloud formation, and precipitation. The differences between the two CRMs are surprisingly small. In contrast, the CPM produces too-...


Journal of the Atmospheric Sciences | 2012

Bulk Convergence of Cloud-Resolving Simulations of Moist Convection over Complex Terrain

Wolfgang Langhans; Juerg Schmidli; Christoph Schär

AbstractThe explicit treatment of moist convection in cloud-resolving models with kilometer-scale horizontal resolution is increasingly used for atmospheric research and numerical weather prediction purposes. However, several previous studies have implicitly questioned the physical validity of this approach, as the accurate representation of the structure and evolution of moist convective phenomena requires considerably higher resolution. Unlike these studies, which focused on single convective systems, here the convergence of bulk properties of an ensemble of moist convective cells in kilometer-scale simulations is considered.To address the convergence, the authors focus on the bulk net heating and moistening in a large control volume, the associated vertical fluxes, and the diurnal evolution of regionally averaged precipitation. Besides numerical convergence, “physical” convergence (Reynolds number increases with resolution) is addressed for two conceptually different subgrid-mixing approaches (1D mesos...


Monthly Weather Review | 2012

Mesoscale Impacts of Explicit Numerical Diffusion in a Convection-Permitting Model

Wolfgang Langhans; Juerg Schmidli; Christoph Schär

AbstractIn convection-permitting simulations, the spectrum of resolved motions is truncated near scales where convection is active. An “energy gap” between resolved and unresolved motions does not exist, such that the upscale and downscale fluxes of energy across the spectrum are affected by the representation of turbulence as well as (implicit and explicit) numerical diffusion. In the current study, a systematic analysis is undertaken of the role of explicit numerical diffusion in simulations of diurnal convection over a large Alpine region, using the Consortium for Small Scale Modeling (COSMO) mesoscale model. Results are explored by using energy spectra and by diagnosing the physical and dynamical contributions to the bulk mesoscale heat budget. In addition, a linear analytical model is employed to assess different formulations of numerical diffusion.Consistent with previous studies the authors find that diffusion may strongly affect the energy spectrum and the formation of precipitation. Besides the d...


Journal of the Atmospheric Sciences | 2015

Lagrangian Investigation of the Precipitation Efficiency of Convective Clouds

Wolfgang Langhans; Kyongmin Yeo; David M. Romps

AbstractThe precipitation efficiency of cumulus congestus clouds is investigated with a new Lagrangian particle framework for large-eddy simulations. The framework is designed to track particles representative of individual water molecules. A Monte Carlo approach facilitates the transition of particles between the different water classes (e.g., vapor, rain, or graupel). With this framework, it is possible to reconstruct the pathways of water as it moves from vapor at a particular altitude to rain at the surface. By tracking water molecules through both physical and microphysical space, the precipitation efficiency can be studied in detail as a function of height.Large-eddy simulations of individual cumulus congestus clouds show that the clouds convert entrained vapor to surface precipitation with an efficiency of around 10%. About two-thirds of all vapor that enters the cloud does so by entrainment in the free troposphere, but free-tropospheric vapor accounts for only one-third to one-half of the surface ...


Geophysical Research Letters | 2015

The origin of water vapor rings in tropical oceanic cold pools

Wolfgang Langhans; David M. Romps

Tropical deep convection over the ocean is found to grow preferentially from thermodynamically preconditioned regions of high specific humidity and, thus, high moist static energy. For this reason, rings of enhanced specific humidity at the leading edges of evaporatively driven cold pools have recently received considerable attention. The prevailing theory explains these rings by the water vapor source from the evaporation of rain drops below cloud base. Their origin is studied in this letter using large-eddy simulations of individual cumulus clouds that rise into a tropical atmosphere over ocean. It is demonstrated that—in contrast to this theory—water vapor rings are primarily explained by surface latent heat fluxes rather than by the evaporation of rain. This finding implies that conceptual models used in subgrid-scale parameterizations of deep convection should consider the formation of rings of increased specific humidity by the cold-pool-induced enhancement of surface fluxes.


Quarterly Journal of the Royal Meteorological Society | 2008

Cloud‐resolving ensemble simulations of the August 2005 Alpine flood

Cathy Hohenegger; André Walser; Wolfgang Langhans; Christoph Schär


Quarterly Journal of the Royal Meteorological Society | 2011

The orographic impact on patterns of embedded convection during the August 2005 Alpine flood

Wolfgang Langhans; Alexander Gohm; Günther Zängl


Archive | 2012

A Smagorinsky-Lilly turbulence closure for COSMO-LES: Implementation and comparison to ARPS

Wolfgang Langhans; Balazs Szintai


Meteorologische Zeitschrift | 2016

Impact of topography on the diurnal cycle of summertime moist convection in idealized simulations

Hanieh Hassanzadeh; Jürg Schmidli; Wolfgang Langhans; Linda Schlemmer; Christoph Schär

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David M. Romps

University of California

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Kyongmin Yeo

Lawrence Berkeley National Laboratory

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