Semi‐Lagrangian advection scheme with controlled damping: An alternative to nonlinear horizontal diffusion in a numerical weather prediction model

Váňa, Filip; Bénard, Pierre; Geleyn, Jean-François; Simon, André Louis; Seity, Yann

doi:10.1002/qj.220

Cited by 47 publications

(34 citation statements)

References 26 publications

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“…The ALARO-0 model utilizes 1) the Action de Recherche Petite Echelle Grande Echell (ARPEGE) Calcul Radiatif avec Nebulosite (ACRANEB) scheme for radiation (Ritter and Geleyn 1992, recast in a Net Exchanged Rate framework), 2) a semi-Lagrangian horizontal diffusion scheme (SLHD) (Vana et al 2008), 3) some pseudoprognostic turbulent kinetic energy (pTKE) scheme (i.e., a Louis-type scheme for stability dependencies, but with memory, advection, and autodiffusion of the overall intensity of turbulence), and 4) a statistical sedimentation scheme for precipitation within a prognostic-type scheme for microphysics ). The physics package of the ALARO-0 model is coupled to the dynamics of the ALADIN model (Bubnova et al 1995) via a physics-dynamics interface based on a flux-conservative formulation of the equations proposed by Catry et al (2007).…”

Section: A Experimental Designmentioning

confidence: 99%

Multiscale Performance of the ALARO-0 Model for Simulating Extreme Summer Precipitation Climatology in Belgium

et al. 2013

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Daily summer precipitation over Belgium from the Aire Limitee Adaptation Dynamique Developpement International (ALADIN) model and a version of the model that has been updated with physical parameterizations, the so-called ALARO-0 model [ALADIN and AROME (Application de la Recherche a l'Operationnel a Meso-Echelle) combined model, first baseline version released in 1998], are compared with respect to station observations for the period 1961-90. The 40-yr European Centre for Medium-Range Weather Forecasts Re-Analysis (ERA-40) is dynamically downscaled using both models on a horizontal resolution of 40 km, followed by a one-way nesting on high spatial resolutions of 10 and 4 km. This setup allows us to explore the relative importance of spatial resolution versus parameterization formulation on the model skill to correctly simulate extreme daily precipitation. Model performances are assessed through standard statistical errors and density, frequency, and quantile distributions as well as extreme value analysis, using the peak-over-threshold method and generalized Pareto distribution. The 40-km simulations of ALADIN and ALARO-0 show similar results, both reproducing the observations reasonably well. For the high-resolution simulations, ALARO-0 at both 10 and 4 km is in better agreement with the observations than ALADIN. The ALADIN model consistently produces too high precipitation rates. The findings demonstrate that the new parameterizations within the ALARO-0 model are responsible for a correct simulation of extreme summer precipitation at various horizontal resolutions. Moreover, this study shows that ALARO-0 is a good candidate model for regional climate modeling.

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Section: A Experimental Designmentioning

confidence: 99%

Multiscale Performance of the ALARO-0 Model for Simulating Extreme Summer Precipitation Climatology in Belgium

et al. 2013

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“…A next step would be to implement an objectbased verification method, e.g. SAL (structure-amplitudelocation) (Wernli et al, 2008), which could provide more objective verification measures, but for this local spatial precipitation analysis, the method must first be developed.…”

Section: Discussionmentioning

confidence: 99%

“…Previous research on the occurrence of HPEs in the wider Adriatic region (e.g. Doswell et al, 1998;Romero et al, 1998;Vrhovec et al, 2001;Kozarić and Ivančan-Picek, 2006;Horvath et al, 2006;Mastrangelo et al, 2011;Mikuš et al, 2012) highlighted cyclonic activity in the western Mediterranean and Adriatic as a triggering mechanism for a range of extreme weather phenomena, including HPEs. The positions of cyclones that appear in the Adriatic Sea basin strongly influence the climate and weather conditions in the area (Horvath et al, 2008).…”

Section: Overview Of Iops Over the Adriatic Tamentioning

confidence: 99%

“…Those topographic features play a large role in the structure and evolution of the weather systems associated with heavy precipitation (e.g. Vrhovec et al, 2001;. This area is among the rainiest in Europe, with expected annual amounts of precipitation greater than 5.000 mm in the mountainous hinterland at the southern part of the Adriatic Sea (Magaš, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Overview of the first HyMeX special observation period over Croatia

Ivančan-Picek

Tudor

Horvath

et al. 2016

Nat. Hazards Earth Syst. Sci.

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Abstract. The HYdrological cycle in the Mediterranean EXperiment (HyMeX) is intended to improve the capabilities of predicting high-impact weather events. Within its framework, the aim of the first special observation period (SOP1), 5 September to 6 November 2012, was to study heavy precipitation events and flash floods. Here, we present high-impact weather events over Croatia that occurred during SOP1. Particular attention is given to eight intense observation periods (IOPs), during which high precipitation occurred over the eastern Adriatic and Dinaric Alps. During the entire SOP1, the operational model forecasts generally well represented medium intensity precipitation, but heavy precipitation was frequently underestimated by the ALADIN model at an 8 km grid spacing and was overestimated at a higher resolution (2 km grid spacing). During IOP2, intensive rainfall occurred over a wider area around the city of Rijeka in the northern Adriatic. The short-range maximum rainfall totals were the largest ever recorded at the Rijeka station since the beginning of measurements in 1958. The rainfall amounts measured in intervals of 20, 30 and 40 min were exceptional, with return periods that exceeded a thousand, a few hundred and one hundred years, respectively. The operational precipitation forecast using the ALADIN model at an 8 km grid spacing provided guidance regarding the event but underestimated the rainfall intensity. An evaluation of numerical sensitivity experiments suggested that the forecast was slightly enhanced by improving the initial conditions through variational data assimilation. The operational non-hydrostatic run at a 2 km grid spacing using a configuration with the ALARO physics package further improved the forecast. This article highlights the need for an intensive observation period in the future over the Adriatic region to validate the simulated mechanisms and improve numerical weather predictions via data assimilation and model improvements in descriptions of microphysics and air-sea interactions.

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“…On the other hand, in the studied models there is for instance a numerical horizontal diffusion (see e.g. Váňa, 2003). It will be investigated in a subsequent study if this could play the role of φ 1 in (43).…”

Section: (43)mentioning

confidence: 99%

Stability and accuracy of the physics—dynamics coupling in spectral models

Termonia

Hamdi

2007

Quart J Royal Meteoro Soc

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This article first reviews the existing spectral time-step organizations of the Integrated Forecast System (IFS) of the ECMWF and the ARPEGE/ALADIN/AROME models of Météo-France and the ALADIN partners. They are characterized according to four choices concerning the physics -dynamics coupling: (1) the order in which the physics parametrization and the dynamics are called and coupled inside the time-step computation, (2) the space-time location of the physics coupling on the semi-Lagrangian trajectory, (3) parallel or sequential time stepping of the different physics parametrizations and (4) parallel or sequential physics -dynamics coupling. It is found that according to this classification, IFS on the one hand and the ARPEGE/ALADIN/AROME models on the other hand exhibit two distinct structures.In the models, the dynamical cores of the semi-implicit semi-Lagrangian two-time-level schemes are linearized around a stationary reference state. This state differs from the real atmospheric state (i.e. the exact solution of the equations). This article generalizes the framework introduced by Staniforth, Wood and Côté to study the relation between the coupled physics parametrization and such reference and atmospheric states. Subsequently, the two above-mentioned time-step organizations are translated into this simplified frame. Extra degrees of freedom are added to allow for obvious improvements of the existing spectral time-step organizations. In order to deal with the complexity of the emerging structures and to avoid tedious algebraic manipulations, a numerical methodology is proposed to characterize their properties. This framework is then used to make a comparative study of the numerical stability and the accuracy of the physics -dynamics coupling within the two above-mentioned time-step organizations. Potential improvements are briefly discussed.

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Semi‐Lagrangian advection scheme with controlled damping: An alternative to nonlinear horizontal diffusion in a numerical weather prediction model

Cited by 47 publications

References 26 publications

Multiscale Performance of the ALARO-0 Model for Simulating Extreme Summer Precipitation Climatology in Belgium

Multiscale Performance of the ALARO-0 Model for Simulating Extreme Summer Precipitation Climatology in Belgium

Overview of the first HyMeX special observation period over Croatia

Stability and accuracy of the physics—dynamics coupling in spectral models

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