Role of synoptic- and meso-scales on the evolution of the boundary-layer wind profile over a coastal region: the near-coast diurnal acceleration

Jiménez, Pedro A.; Arellano, Jordi Vilà‐Guerau de; Dudhia, Jimy; Bosveld, Fred C.

doi:10.1007/s00703-015-0400-6

Cited by 24 publications

(26 citation statements)

References 33 publications

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“…The monthly average WRF-Chem wind direction shows an absolute bias of 1 • (October), 51 • (November) and 10 • (December) compared to the observed wind direction at Rotterdam airport. The error in November is large compared to previous findings (Jiménez et al, 2016), and this results in a large model-observation mismatch in tracer mixing ratios (Fig. 3).…”

Section: Model Skillcontrasting

confidence: 52%

A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex

Super

Gon²,

Molen

et al. 2017

Atmos. Chem. Phys.

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Abstract. Monitoring urban-industrial emissions is often challenging because observations are scarce and regional atmospheric transport models are too coarse to represent the high spatiotemporal variability in the resulting concentrations. In this paper we apply a new combination of an Eulerian model (Weather Research and Forecast, WRF, with chemistry) and a Gaussian plume model (Operational Priority Substances -OPS). The modelled mixing ratios are compared to observed CO 2 and CO mole fractions at four sites along a transect from an urban-industrial complex (Rotterdam, the Netherlands) towards rural conditions for October-December 2014. Urban plumes are well-mixed at our semi-urban location, making this location suited for an integrated emission estimate over the whole study area. The signals at our urban measurement site (with average enhancements of 11 ppm CO 2 and 40 ppb CO over the baseline) are highly variable due to the presence of distinct source areas dominated by road traffic/residential heating emissions or industrial activities. This causes different emission signatures that are translated into a large variability in observed CO : CO 2 ratios, which can be used to identify dominant source types. We find that WRF-Chem is able to represent synoptic variability in CO 2 and CO (e.g. the median CO 2 mixing ratio is 9.7 ppm, observed, against 8.8 ppm, modelled), but it fails to reproduce the hourly variability of daytime urban plumes at the urban site (R 2 up to 0.05). For the urban site, adding a plume model to the model framework is beneficial to adequately represent plume transport especially from stack emissions. The explained variance in hourly, daytime CO 2 enhancements from point source emissions increases from 30 % with WRF-Chem to 52 % with WRFChem in combination with the most detailed OPS simulation. The simulated variability in CO : CO 2 ratios decreases drastically from 1.5 to 0.6 ppb ppm −1 , which agrees better with the observed standard deviation of 0.4 ppb ppm −1 . This is partly due to improved wind fields (increase in R 2 of 0.10) but also due to improved point source representation (increase in R 2 of 0.05) and dilution (increase in R 2 of 0.07). Based on our analysis we conclude that a plume model with detailed and accurate dispersion parameters adds substantially to top-down monitoring of greenhouse gas emissions in urban environments with large point source contributions within a ∼ 10 km radius from the observation sites.

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Section: Model Skillcontrasting

confidence: 52%

A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex

Super

Gon²,

Molen

et al. 2017

Atmos. Chem. Phys.

View full text Add to dashboard Cite

show abstract

“…The monthly average WRF-Chem wind direction shows an absolute bias of 1 (October), 51 (November) and 10 (December) degrees compared to the observed wind direction at Rotterdam airport. The error in November is large compared to previous findings (Jiménez et al, 2016) and this results in a large model-observation mismatch in tracer mixing ratios ( Fig. 3.3).…”

Section: Model Skillcontrasting

confidence: 52%

Quantification and attribution of urban fossil fuel emissions through atmospheric measurements

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“…The parametrization schemes are based on a standard WRF model run that yields representative results in the Atacama Desert [33]. We followed the method proposed by Jiménez et al [34] to perform the WRF simulations: consecutive two-days WRF model runs initiated at 0 UTC were executed. The first day of simulation corresponded to the spin-up of the physical parametrization and the second day was used to represent the weather conditions of the study site.…”

Section: Design Of the Studymentioning

confidence: 99%

E-DATA: A Comprehensive Field Campaign to Investigate Evaporation Enhanced by Advection in the Hyper-Arid Altiplano

Suárez

Lobos

Fuente

et al. 2020

Water

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In the endorheic basins of the Altiplano, water is crucial for sustaining unique ecological habitats. Here, the wetlands act as highly localized evaporative environments, and little is known about the processes that control evaporation. Understanding evaporation in the Altiplano is challenging because these environments are immersed in a complex topography surrounded by desert and are affected by atmospheric circulations at various spatial scales. Also, these environments may be subject to evaporation enhancement events as the result of dry air advection. To better characterize evaporation processes in the Altiplano, the novel Evaporation caused by Dry Air Transport over the Atacama Desert (E-DATA) field campaign was designed and tested at the Salar del Huasco, Chile. The E-DATA combines surface and airborne measurements to understand the evaporation dynamics over heterogeneous surfaces, with the main emphasis on the open water evaporation. The weather and research forecasting model was used for planning the instruments installation strategy to understand how large-scale air flow affects evaporation. Instrumentation deployed included: meteorological stations, eddy covariance systems, scintillometers, radiosondes and an unmanned aerial vehicle, and fiber-optic distributed temperature sensing. Additional water quality and CO2 fluxes measurements were carried out to identify the link between meteorological conditions and the biochemical dynamics of Salar del Huasco. Our first results show that, in the study site, evaporation is driven by processes occurring at multiple spatial and temporal scales and that, even in the case of available water and energy, evaporation is triggered by mechanical turbulence induced by wind.

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Role of synoptic- and meso-scales on the evolution of the boundary-layer wind profile over a coastal region: the near-coast diurnal acceleration

Cited by 24 publications

References 33 publications

A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex

A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex

Quantification and attribution of urban fossil fuel emissions through atmospheric measurements

E-DATA: A Comprehensive Field Campaign to Investigate Evaporation Enhanced by Advection in the Hyper-Arid Altiplano

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Role of synoptic- and meso-scales on the evolution of the boundary-layer wind profile over a coastal region: the near-coast diurnal acceleration

Cited by 24 publications

References 33 publications

A multi-model approach to monitor emissions of CO&lt;sub&gt;2&lt;/sub&gt; and CO from an urban–industrial complex

A multi-model approach to monitor emissions of CO&lt;sub&gt;2&lt;/sub&gt; and CO from an urban–industrial complex

Quantification and attribution of urban fossil fuel emissions through atmospheric measurements

E-DATA: A Comprehensive Field Campaign to Investigate Evaporation Enhanced by Advection in the Hyper-Arid Altiplano

Contact Info

Product

Resources

About

A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex

A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex