Three-dimensional ozone data analysis with an air quality model over the Paris area

Abstract. This study investigates the improvement of ozone (O3) simulations in the Mexico City basin using a three-dimensional variational (3DVAR) data assimilation system in meteorological simulations during the MCMA-2003 field measurement campaign. Meteorological simulations from the NCAR/Penn State mesoscale model (MM5) are used to drive photochemical simulations with the Comprehensive Air Quality Model with extensions (CAMx) during a four-day episode on 13–16 April 2003. The simulated wind circulation, temperature, and humidity fields in the basin with the data assimilation are found to be more consistent with the observations than those from the reference deterministic forecast. This leads to improved simulations of plume position, peak O3 timing, and peak O3 concentrations in the photochemical model. The improvement in O3 simulations is especially strong during the daytime. The results demonstrate the importance of applying data assimilation in meteorological simulations for air quality studies in the Mexico City basin.

Download Full-text

Effects of Chemical Mechanism Uncertainties on the Reactivity Quantification of Volatile Organic Compounds Using a Three-Dimensional Air Quality Model

Environmental Science & Technology ◽

10.1021/es9704489 ◽

1998 ◽

Vol 32 (5) ◽

pp. 694-703 ◽

Cited By ~ 9

Author(s):

M. S. Bergin ◽

A. G. Russell ◽

J. B. Milford

Keyword(s):

Air Quality ◽

Volatile Organic Compounds ◽

Organic Compounds ◽

Three Dimensional ◽

Chemical Mechanism ◽

Air Quality Model ◽

Quality Model ◽

Volatile Organic

Download Full-text

Linkage between an advanced air quality model and a mechanistic watershed model

Geoscientific Model Development Discussions ◽

10.5194/gmdd-3-1503-2010 ◽

2010 ◽

Vol 3 (3) ◽

pp. 1503-1548 ◽

Cited By ~ 2

Author(s):

K. Vijayaraghavan ◽

J. Herr ◽

S.-Y. Chen ◽

E. Knipping

Keyword(s):

South Carolina ◽

Air Quality ◽

Mesoscale Model ◽

Three Dimensional ◽

Wrf Model ◽

Air Quality Model ◽

Watershed Model ◽

Quality Model ◽

Particulate Nitrogen ◽

The Impact

Abstract. An offline linkage between two advanced multi-pollutant air quality and watershed models is presented. The models linked are (1) the Advanced Modeling System for Transport, Emissions, Reactions and Deposition of Atmospheric Matter (AMSTERDAM) (a three-dimensional Eulerian plume-in-grid model derived from the Community Multiscale Air Quality (CMAQ) model) and (2) the Watershed Analysis Risk Management Framework (WARMF). The pollutants linked include gaseous and particulate nitrogen, sulfur and mercury compounds. The linkage may also be used to obtain meteorological fields such as precipitation and air temperature required by WARMF from the outputs of the meteorology chemistry interface processor (MCIP) that processes meteorology simulated by the fifth generation Mesoscale Model (MM5) or the Weather Research and Forecast (WRF) model for input to AMSTERDAM. The linkage is tested in the Catawba River basin of North and South Carolina for ammonium, nitrate and sulfate. Modeled air quality and meteorological fields transferred by the linkage can supplement the conventional measurements used to drive WARMF and may be used to help predict the impact of changes in atmospheric emissions on water quality.

Download Full-text

Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin

Atmospheric Chemistry and Physics Discussions ◽

10.5194/acpd-8-12529-2008 ◽

2008 ◽

Vol 8 (4) ◽

pp. 12529-12560 ◽

Cited By ~ 2

Author(s):

N. Bei ◽

B. de Foy ◽

W. Lei ◽

M. Zavala ◽

L. T. Molina

Keyword(s):

Air Quality ◽

Data Assimilation ◽

Mexico City ◽

Mesoscale Model ◽

Three Dimensional ◽

Air Quality Model ◽

Quality Model ◽

Penn State ◽

Data Assimilation System ◽

Assimilation System

Abstract. This study investigates the improvement of ozone (O3) simulations in the Mexico City basin using a three-dimensional variational (3DVAR) data assimilation system in meteorological modeling during the MCMA-2003 campaign. Meteorological simulations from the Penn State/NCAR mesoscale model (MM5) are used to drive photochemical modeling with the Comprehensive Air Quality Model with extensions (CAMx) during a four-day episode on 13–16 April 2003. The calculated wind circulation, temperature, and humidity fields in the basin with the data assimilation are found to be more consistent with the observations than those from the reference deterministic forecast. This leads to improved calculations of plume position, peak O3 timing, and peak O3 concentrations in the photochemical model. The improvement of O3 simulations is especially strong during the daytime. The results demonstrate the importance of applying data assimilation in meteorological simulations for air quality studies in the Mexico City basin.

Download Full-text