A New Framework to Compare Mass-Flux Schemes Within the AROME Numerical Weather Prediction Model

Riette, Sébastien; Lac, Christine

doi:10.1007/s10546-016-0146-9

Cited by 7 publications

(4 citation statements)

References 39 publications

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“…Among all of the model physics, MYNN_UCM shows the best agreement with the observations, while BouLac_BEP differs from ceilometer the most. The absolute bias of the MYNN_UCM modelled PBL height ranges from 5 to 198 m and 0 to 184 m with mean biases of −15.3 (d02) and −6.9 m (d03) and root-meansquare error (RMSE) of 89.7 and 94.5 m for 4 and 1.3 km resolution, respectively, which is similar to the range in the study of Riette and Lac (2016). They evaluated the model performance with different model sizes for an operational weather forecast system (AROME, Application of Research to Operations at Mesoscale) against the observed PBL height at five observation sites, showing mean bias of −9.17 m and RMSE of 115 m for 200 × 200 grids, 6.17 and 95.5 m for 108 × 108 grids.…”

Section: Comparison To Ceilometer Pbl Heightsupporting

confidence: 77%

Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO2 emissions

et al. 2016

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Abstract. Megacities are major sources of anthropogenic fossil fuel CO 2 (FFCO 2 ) emissions. The spatial extents of these large urban systems cover areas of 10 000 km 2 or more with complex topography and changing landscapes. We present a high-resolution land-atmosphere modelling system for urban CO 2 emissions over the Los Angeles (LA) megacity area. The Weather Research and Forecasting (WRF)-Chem model was coupled to a very high-resolution FFCO 2 emission product, Hestia-LA, to simulate atmospheric CO 2 concentrations across the LA megacity at spatial resolutions as fine as ∼ 1 km. We evaluated multiple WRF configurations, selecting one that minimized errors in wind speed, wind direction, and boundary layer height as evaluated by its performance against meteorological data collected during the CalNex-LA campaign (May-June 2010). Our results show no significant difference between moderate-resolution (4 km) and high-resolution (1.3 km) simulations when evaluated against surface meteorological data, but the highresolution configurations better resolved planetary boundary layer heights and vertical gradients in the horizontal mean winds. We coupled our WRF configuration with the Vulcan 2.2 (10 km resolution) and Hestia-LA (1.3 km resolution) fossil fuel CO 2 emission products to evaluate the impact of the spatial resolution of the CO 2 emission products and the meteorological transport model on the representation of spatiotemporal variability in simulated atmospheric CO 2 concentrations. We find that high spatial resolution in the fossil fuel CO 2 emissions is more important than in the atmospheric model to capture CO 2 concentration variability across the LA megacity. Finally, we present a novel approach that employs simultaneous correlations of the simulated atmospheric CO 2 fields to qualitatively evaluate the greenhouse gas measurement network over the LA megacity. Spatial correlations in the atmospheric CO 2 fields reflect the coverage of individual measurement sites when a statistically significant number of sites observe emissions from a specific source or location. We conclude that elevated atmospheric CO 2 concentrations over the LA megacity are composed of multiple fine-scale plumes rather than a single homogenous urban dome. Furthermore, we conclude that FFCO 2 emissions monitoring in the LA megacity requires FFCO 2 emissions modelling with ∼ 1 km resolution becausePublished by Copernicus Publications on behalf of the European Geosciences Union. 9020 S. Feng et al.: LA megacity GHG modelling system coarser-resolution emissions modelling tends to overestimate the observational constraints on the emissions estimates.

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Section: Comparison To Ceilometer Pbl Heightsupporting

confidence: 77%

Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO2 emissions

et al. 2016

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“…sounding locations over one year in Riette and Lac (2016) demonstrated the good performance of this scheme, which was characterized by the active transport of thermals. In convective situations, it is necessary to use a mass-flux scheme such as PMMC09 until 1 km-500 m horizontal grid spacing.…”

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confidence: 88%

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

Lac¹,

Chaboureau²,

Masson³

et al. 2018

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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.

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“…30-100 in situ and 2-8 ppm column) and significant variability of the CO 2 concentrations for the LA megacity (Newman et al, 2013;Wunch et al, 2009;Wong et al, 2015;Kort et al, 2012;Wennberg et al, 2012;Newman et al, 2016). There have been limited radiocarbon ( 14 C) isotopic tracer studies (Newman et al, 2013;Djuricin et al, 2010;Riley et al, 2008;Newman et al, 2016). Newman et al (2016) showed that FFCO 2 constituted 10-25 ppm of the CO 2 excess observed in the LA Basin by averaging the flask samples at 14:00 PST during 15 May-15 June 2010.…”

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confidence: 99%

LA Megacity: a High-Resolution Land-Atmosphere Modelling System for Urban CO2 Emissions

Feng¹,

Lauvaux²,

Newman³

et al. 2016

Preprint

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Abstract. Megacities are major sources of anthropogenic fossil fuel CO2 emissions. The spatial extents of these large urban systems cover areas of 10,000 km2 or more with complex topography and changing landscapes. We present a high-resolution land-atmosphere modelling system for urban CO2 emissions over the Los Angeles (LA) megacity area. The Weather Research and Forecasting (WRF)-Chem model was coupled to a very high-resolution FFCO2 emission product, Hestia-LA, to simulate atmospheric CO2 concentrations across the LA megacity at spatial resolutions as fine as ~ 1 km. We evaluated multiple WRF configurations, selecting one that minimized errors in wind speed, wind direction, and boundary layer height as validated by its performance against meteorological data collected during the CalNex-LA campaign (May&#8211;June 2010). Our results show no significant difference between moderate- (4-km) and high- (1.3-km) resolution simulations when evaluated against surface meteorological data, but the high-resolution configurations better resolved PBL heights and vertical gradients in the horizontal mean winds. We coupled our WRF configuration with the Vulcan 2.2 (10 km resolution) and Hestia-LA (1.3-km resolution) fossil fuel CO2 emission products to evaluate the impact of the spatial resolution of the CO2 emission products and the meteorological transport model on the representation of spatiotemporal variability in simulated atmospheric CO2 concentrations. We find that high spatial resolution in the fossil fuel CO2 emissions is more important than in the atmospheric model to capture CO2 concentration variability across the LA megacity. Finally, we present a novel approach that employs simultaneous correlations of the simulated atmospheric CO2 fields to qualitatively evaluate greenhouse gas measurements over the LA megacity. Spatial correlations in the atmospheric CO2 fields reflect the coverage of individual measurement sites when a statistically significant number of sites observe emissions from a specific source or location. We conclude that elevated atmospheric CO2 concentrations over the LA megacity are composed of multiple fine-scale plumes rather than a single homogenous urban dome. Furthermore, we conclude that FFCO2 emissions monitoring in the LA megacity requires FFCO2 emissions modelling with ~ 1 km resolution since coarser resolution emissions modelling tends to overestimate the observational constraints on the emissions estimates.

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A New Framework to Compare Mass-Flux Schemes Within the AROME Numerical Weather Prediction Model

Cited by 7 publications

References 39 publications

Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO<sub>2</sub> emissions

Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO<sub>2</sub> emissions

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

LA Megacity: a High-Resolution Land-Atmosphere Modelling System for Urban CO<sub>2</sub> Emissions

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A New Framework to Compare Mass-Flux Schemes Within the AROME Numerical Weather Prediction Model

Cited by 7 publications

References 39 publications

Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO&lt;sub&gt;2&lt;/sub&gt; emissions

Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO&lt;sub&gt;2&lt;/sub&gt; emissions

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

LA Megacity: a High-Resolution Land-Atmosphere Modelling System for Urban CO&lt;sub&gt;2&lt;/sub&gt; Emissions

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Product

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Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO<sub>2</sub> emissions

Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO<sub>2</sub> emissions

LA Megacity: a High-Resolution Land-Atmosphere Modelling System for Urban CO<sub>2</sub> Emissions