The effect of moist convection on thermally induced mesoscale circulations

Rieck, Malte; Hohenegger, Cathy; Gentine, Pierre

doi:10.1002/qj.2532

Cited by 18 publications

(26 citation statements)

References 37 publications

(76 reference statements)

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“…Although the front is initially triggered by the surface heterogeneity, and different surface heterogeneities may lead to different initial propagation velocities, the much faster cold pools end up determining the front velocity, thus masking the effect of the surface heterogeneity. This stands in agreement with what was found by Rieck et al (2015), and in particular with the thermodynamic contribution of cold pools to the propagation speed of the front (their Eq. 1).…”

Section: Advectionsupporting

confidence: 93%

“…4b the position and speed of the front obtained with the aforementioned algorithm are displayed. The front starts to slowly propagate in the late morning with a velocity smaller than 2 m s −1 but is later accelerated by cold pools, in agreement with Rieck et al (2015). The cold pools are formed after the first strong precipitation event between 12:00 and 13:00 LST.…”

Section: General Features Of Convectionsupporting

confidence: 82%

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A simplified model of precipitation enhancement over a heterogeneous surface

Hohenegger

2018

Hydrol. Earth Syst. Sci.

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Abstract. Soil moisture heterogeneities influence the onset of convection and subsequent evolution of precipitating systems through the triggering of mesoscale circulations. However, local evaporation also plays a role in determining precipitation amounts. Here we aim at disentangling the effect of advection and evaporation on precipitation over the course of a diurnal cycle by formulating a simple conceptual model. The derivation of the model is inspired by the results of simulations performed with a high-resolution (250 m) large eddy simulation model over a surface with varying degrees of heterogeneity. A key element of the conceptual model is the representation of precipitation as a weighted sum of advection and evaporation, each weighed by its own efficiency. The model is then used to isolate the main parameters that control precipitation variations over a spatially drier patch. It is found that these changes surprisingly do not depend on soil moisture itself but instead purely on parameters that describe the atmospheric initial state. The likelihood for enhanced precipitation over drier soils is discussed based on these parameters. Additional experiments are used to test the validity of the model.

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Section: Advectionsupporting

confidence: 93%

Section: General Features Of Convectionsupporting

confidence: 82%

A simplified model of precipitation enhancement over a heterogeneous surface

Hohenegger

2018

Hydrol. Earth Syst. Sci.

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“…The front starts to slowly propagate in the late morning with a velocity smaller than 2 m s −1 but is later accelerated by cold pools, in agreement with Rieck et al (2015). The cold pools are formed after the first strong precipitation event.…”

Section: General Features Of Convectionsupporting

confidence: 84%

“…This counterintuitive behaviour is related to the fact that cold pools cause the first noticeable acceleration of the front, as seen in section 3.1.This stands in agreement with what found by Rieck et al (2015), and in particular with the thermodynamic contribution of cold pools to the propagation speed of the front (their Eq. 1).…”

supporting

confidence: 90%

A simplified model of precipitation enhancement over a heterogeneous surface

Hohenegger¹

2017

Preprint

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Abstract. Soil moisture heterogeneities through the triggering of mesoscale circulations influence the onset of convection and subsequent evolution of thunderstorms producing heavy precipitation. However local evaporation also plays a role in determining precipitation amounts. Here we aim at disentangling the effect of advection and evaporation on precipitation over the course of a diurnal cycle by formulating a simple conceptual model. The derivation of the model is inspired from the results of simulations performed with a high-resolution (250 m) Large-Eddy Simulation model over a surface with varying degrees of 5 heterogeneity. Key element of the model is the representation of precipitation as weighted sum of advection and evaporation, each weighted by its own efficiency. The model is then used to isolate the main parameters that control the variations of precipitation over spatially drier patches. It is found that these changes surprisingly do not depend on soil moisture itself but instead purely on parameters that describe the atmospheric initial state. The likelihood for enhanced precipitation over drier soils is discussed based on these parameters. Additional experiments are used to test the validity of the model.

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“…PALM includes a Lagrangian cloud model and was often used in studies discussing shallow convection (e.g., Riechelmann et al, 2015;Hoffmann et al, 2015;Hoffmann, 2016). UCLA-LES incorporates a hierarchy of microphysical models and representations of radiative transfer and was applied in studies focusing more on deep convection (e.g., Rieck et al, 2015;Schlemmer and Hohenegger, 2016).…”

Section: Large-eddy Modelsmentioning

confidence: 99%

Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaign

et al. 2017

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Abstract. Large-eddy simulations (LESs) of a multi-week period during the HD(CP) 2 (High-Definition Clouds and Precipitation for advancing Climate Prediction) Observational Prototype Experiment (HOPE) conducted in Germany are evaluated with respect to mean boundary layer quantities and turbulence statistics. Two LES models are used in a semi-idealized setup through forcing with mesoscale model output to account for the synoptic-scale conditions. Evaluation is performed based on the HOPE observations. The mean boundary layer characteristics like the boundary layer depth are in a principal agreement with observations. Simulating shallow-cumulus layers in agreement with the measurements poses a challenge for both LES models. Variance profiles agree satisfactorily with lidar measurements. The results depend on how the forcing data stemming from mesoscale model output are constructed. The mean boundary layer characteristics become less sensitive if the averaging domain for the forcing is large enough to filter out mesoscale fluctuations.

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The effect of moist convection on thermally induced mesoscale circulations

Cited by 18 publications

References 37 publications

A simplified model of precipitation enhancement over a heterogeneous surface

A simplified model of precipitation enhancement over a heterogeneous surface

A simplified model of precipitation enhancement over a heterogeneous surface

Evaluation of large-eddy simulations forced with mesoscale model output for a multi-week period during a measurement campaign

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