NARSTO critical review of photochemical models and modeling

Russell, Armistead G.; Dennis, Robin L.

doi:10.1016/s1352-2310(99)00468-9

Cited by 418 publications

(267 citation statements)

References 175 publications

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“…The annual mean model-to-data statistics RMSE, correlation coefficient, MNBE, MNGE, MFB and MFE were selected for the present study. According to the recommendations of the US-EPA a cut-off value of 80 µg m -3 was applied to O3 statistics before compilation (US-EPA, 1991;Russell and Dennis, 2000). However, correlation coefficients for O3 are calculated without cut-off value in order to test the capability of the model to reproduce the variation of O3 concentrations.…”

Section: Statistical Indicatorsmentioning

confidence: 99%

Spatio-temporal variability of concentrations and speciation of particulate matter across Spain in the CALIOPE modeling system

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Jiménez‐Guerrero

Jorba

et al. 2012

Atmospheric Environment

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The CALIOPE project, funded by the Spanish Ministry of the Environment, aims at establishing an air quality forecasting system for Spain. With this goal, CALIOPE modeling system was developed and applied with high resolution (4 km x 4 km, 1hr) using the HERMES emission model (including emissions of resuspended particles from paved roads) specifically built up for Spain. The present study provides an evaluation and an assessment of that air quality modeling system, namely WRF-ARW/HERMES/CMAQ/BSC-DREAM8b for a full year simulation in 2004 over Spain. The evaluation focused on the capability of the model to reproduce the temporal and spatial distribution of gas phase species (NO2, O3, and SO2) and particulate matter (PM10) against ground-based measurements from the Spanish air quality monitoring network. The evaluation of the modeling results on an hourly basis showed a strong dependency of the performance of the model on the type of zone (urban, suburban and rural) and the dominant emission sources (traffic, industrial, and background). The O3 chemistry is best represented in summer, when mean hourly variability and high peaks are generally well reproduced. The mean normalized error and bias meet the recommendations proposed by the United States Environmental Protection Agency (US-EPA) and the European regulations. Modeled O3 shows higher performance for urban than for rural stations, especially at traffic stations in large cities, since stations influenced by traffic emissions (i.e. high NOx emissions) are better characterized with a more pronounced daily variability. NOx/O3 chemistry is better represented under non-limited-NO2 regimes. SO 2 is mainly produced from isolated point sources (power generation and transformation industries) which generate large plumes of high SO 2 concentration affecting the air quality on a local to national scale where the meteorological pattern is crucial. The contribution of mineral dust from the Sahara desert through the BSC-DREAM8b model helps to satisfactorily reproduce episodic high PM10 concentration peaks at background stations. The model assessment indicates that one of the main air quality-related problems in Spain is the high level of O3. A quarter of the Iberian Peninsula presents more than 30 days exceeding the value 120 µg m -3 for the maximum 8-hr O3 concentration as a consequence of the transport of O3 precursors downwind the Madrid and Barcelona metropolitan areas, and industrial areas and cities in the Mediterranean coast.

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Section: Statistical Indicatorsmentioning

confidence: 99%

Spatio-temporal variability of concentrations and speciation of particulate matter across Spain in the CALIOPE modeling system

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Jiménez‐Guerrero

Jorba

et al. 2012

Atmospheric Environment

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“…It is a popular and powerful model that assists to improve forecast of weather (UCAR, 2002). The nonhydrostatic MM5 model (Dudhia, 1993;Grell et al, 1994) is a three-dimensional prognostic model which has been used widely in regional air quality model applications (e.g., Russell and Dennis, 2000;Seaman et al, 1995;Seaman and Stauffer, 1996;Tesche et al, 1998bTesche et al, , 1998c. The basic model has been under continuous improvement and testing for more than 20 years (e.g., Anthes and Warner, 1978;Anthes et al, 1987) and has been used world-wide by hundreds of scientists for a variety of meteorological studies including air quality research.…”

Section: Meteorological Modelingmentioning

confidence: 99%

Long-range aerosol transport from Europe to Istanbul, Turkey

Kındap

Ünal

Chen

et al. 2006

Atmospheric Environment

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“…Atmospheric transport models [14] deal with transport of substances in the atmosphere, including natural, biogenic, and anthropogenic origin. The physics of these models describes the transport and removal mechanisms acting upon the substance and predicts its concentration depending on meteorological variables and a source term.…”

Section: Application Examplementioning

confidence: 99%

Unveiling WARIS Code, a Parallel and Multi-purpose FDM Framework

Cruz

Hanzich

Folch

et al. 2014

Lecture Notes in Computational Science and Engineering

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Abstract. WARIS is an in-house multi-purpose framework focused on solving scientific problems using Finite Difference Methods as numerical scheme. Its framework was designed from scratch to solve in a parallel and efficient way Earth Science and Computational Fluid Dynamic problems on a wide variety of architectures. WARIS uses structured meshes to discretize the problem domains, as these are better suited for optimization in accelerator-based architectures. To succeed in such challenge, WARIS framework was initially designed to be modular in order to ease development cycles, portability, reusability and future extensions of the framework. In order to assess its performance, a code that solves the vectorial AdvectionDiffusion-Sedimentation equation has been ported to the WARIS framework. This problem appears in many geophysical applications, including atmospheric transport of passive substances. As an application example, we focus on atmospheric dispersion of volcanic ash, a case in which operational code performance is critical given the threat posed by this substance on aircraft engines. Preliminary results are very promising, performance has been improved by 8.2× with respect to the baseline code using a realistic case. This opens new perspectives for operational setups, including efficient ensemble forecast.

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NARSTO critical review of photochemical models and modeling

Cited by 418 publications

References 175 publications

Spatio-temporal variability of concentrations and speciation of particulate matter across Spain in the CALIOPE modeling system

Spatio-temporal variability of concentrations and speciation of particulate matter across Spain in the CALIOPE modeling system

Long-range aerosol transport from Europe to Istanbul, Turkey

Unveiling WARIS Code, a Parallel and Multi-purpose FDM Framework

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