• Simulation of nitrate aerosol...

Result: Simulation of nitrate aerosol concentrations over East Asia with the model system RAMS-CMAQ

Title:
Simulation of nitrate aerosol concentrations over East Asia with the model system RAMS-CMAQ
Authors:
MEIGEN ZHANG, LIJIE GAO, CUI GE, YOUPING XU
Source:
Special issue with manuscripts presented at the 1st iLEAPS science conference in Boulder, Colorado, USA, 21-26 January 2006Tellus. Series B, Chemical and physical meteorology. 59(3):372-380
Publisher Information:
Oxford: Blackwell, 2007.
Publication Year:
2007
Physical Description:
print, 3/4 p
Original Material:
INIST-CNRS
Subject Terms:
Environment, Environnement, Climatology, meteorology, Climatologie, météorologie, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Pollution, Pollution atmosphérique, Atmospheric pollution, Etude de la physicochimie des polluants: propriétés, effets, réactions, transport et distribution, Pollutants physicochemistry study: properties, effects, reactions, transport and distribution, Terre, ocean, espace, Earth, ocean, space, Geophysique externe, External geophysics, Météorologie, Meteorology, Particules et aérosols, Particles and aerosols, Asie, Asia, Aérosol, aerosols, Aerosol, Couche limite atmosphérique, Atmospheric boundary layer, Capa límite atmosférico, Distribution concentration, Concentration distribution, Distribución concentración, Donnée observation, Observation data, Dato observación, Modèle 3 dimensions, three-dimensional models, Modelo 3 dimensiones, Nitrate, nitrates, Nitrato, Performance algorithme, algorithm performance, Polluant secondaire, Secondary pollutant, Contaminante secundario, Pollution air, Air pollution, Contaminación aire, Qualité air, Air quality, Calidad aire, Rapport mélange, Mixing ratio, Relación mezcla, Répartition géographique, Geographic distribution, Distribución geográfica, Simulation numérique, digital simulation, Simulación numérica, Troposphère, troposphere, Variation saisonnière, seasonal variations, Variación estacional
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Graduate School of the Chinese Academy of Sicences, Beijing 100049, China
Beijing Institute of Applied Meteorology, Beijing 100029, China
ISSN:
0280-6509
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18886560
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
External geophysics

Pollution
Accession Number:
edscal.18886560
Database:
PASCAL Archive

Further Information

The Models-3 Community Multi-scale Air Quality modeling system (CMAQ) coupled with the Regional Atmospheric Modeling System (RAMS) is used to analyse the geographical and the seasonal characteristics of nitrate aerosol (ANO3) concentration distributions over East Asia. Three-dimensional concentrations in January, March, April, July and October of 2001 are simulated, and for the evaluation of model performances, the simulated values of wind direction, wind speed, temperature, specific humidity, nitric oxide (NO), nitrogen oxide (NO2), ANO3 and ammonium aerosol (ANH4) are compared with the observational data obtained onboard the P-3B aircraft during its four consecutive flights over the South China Sea, the East China Sea, the Yellow Sea and the water areas to the east of Japan conducted on 13, 17, 18 and 21 March 2001. The observed data are 5-min averaged and the model results with a 1-hour temporal resolution are interpolated to the aircraft location and time using trilinear interpolation. Comparison shows that the observed values exhibit strong temporo-spatial variations, and the model reproduces these variations reasonably well. The simulated values of wind direction, wind speed, temperature and specific humidity are generally in good agreement with the observed ones, their correlation coefficients reach 0.66, 0.94, 0.99 and 0.96, respectively. Comparison also shows that the average mixing ratios of modelled and observed NO, NO2, ANO3 and ANH4 agree reasonably well with each other, the correlation coefficient for ANO3 and ANH4 are larger than 0.8, but the simulated standard deviations are smaller than the observed one, and the correlation coefficient for NO and NO2 are 0.48 and 0.44. Analysis of horizontal distributions of monthly averaged ANO3 concentrations in the boundary layer indicates that the ANO3 mixing ratios have noticeable differences among the four seasons. Generally the concentrations are high in the winter, spring and fall and low in the summer, and seasonal variations are typically strongest over China and Japan. Highest concentrations are found over eastern China where emissions of nitrogen oxides and ammonia are high and long-range transport may cause elevated concentrations in remote areas under favourable meteorological conditions, but the seasonal variation in the ANO3 concentrations is heavily influenced by the changes in precipitation and temperature.