Abstract
Background, aim, and scope
Improving the parameterization of processes in the atmospheric boundary layer (ABL) and surface layer, in air quality and chemical transport models. To do so, an asymmetrical, convective, non-local scheme, with varying upward mixing rates is combined with the non-local, turbulent, kinetic energy scheme for vertical diffusion (COM). For designing it, a function depending on the dimensionless height to the power four in the ABL is suggested, which is empirically derived. Also, we suggested a new method for calculating the in-canopy resistance for dry deposition over a vegetated surface.
Materials and methods
The upward mixing rate forming the surface layer is parameterized using the sensible heat flux and the friction and convective velocities. Upward mixing rates varying with height are scaled with an amount of turbulent kinetic energy in layer, while the downward mixing rates are derived from mass conservation. The vertical eddy diffusivity is parameterized using the mean turbulent velocity scale that is obtained by the vertical integration within the ABL. In-canopy resistance is calculated by integration of inverse turbulent transfer coefficient inside the canopy from the effective ground roughness length to the canopy source height and, further, from its the canopy height.
Results
This combination of schemes provides a less rapid mass transport out of surface layer into other layers, during convective and non-convective periods, than other local and non-local schemes parameterizing mixing processes in the ABL. The suggested method for calculating the in-canopy resistance for calculating the dry deposition over a vegetated surface differs remarkably from the commonly used one, particularly over forest vegetation.
Discussion
In this paper, we studied the performance of a non-local, turbulent, kinetic energy scheme for vertical diffusion combined with a non-local, convective mixing scheme with varying upward mixing in the atmospheric boundary layer (COM) and its impact on the concentration of pollutants calculated with chemical and air-quality models. In addition, this scheme was also compared with a commonly used, local, eddy-diffusivity scheme. Simulated concentrations of NO2 by the COM scheme and new parameterization of the in-canopy resistance are closer to the observations when compared to those obtained from using the local eddy-diffusivity scheme.
Conclusions
Concentrations calculated with the COM scheme and new parameterization of in-canopy resistance, are in general higher and closer to the observations than those obtained by the local, eddy-diffusivity scheme (on the order of 15–22%).
Recommendations and perspectives
To examine the performance of the scheme, simulated and measured concentrations of a pollutant (NO2) were compared for the years 1999 and 2002. The comparison was made for the entire domain used in simulations performed by the chemical European Monitoring and Evaluation Program Unified model (version UNI-ACID, rv2.0) where schemes were incorporated.
Similar content being viewed by others
References
Alapaty K (2003) Development of two CBL schemes using the turbulence velocity scale. The 4th WRF Users’ workshop, Boulder, Colorado, June 25–27
Alapaty K, Alapaty M (2001) Development of a diagnostic TKE schemes for applications in regional and climate models using MM5. Research Note, MCNC-North Carolina Supercomputing Center, Research Triangle Park, NC, p 5
Berge E, Jacobsen HA (1998) A regional scale multi-layer for the calculation of long-term transport and deposition of air-pollution in Europe. Tellus 50:205–223
Bjorge D, Skaling R (1995) PARLAM—the parallel HIRLAM version of DNMI. Research Report No. 27, ISSN 0332-9879, Norwegian Meteorological Institute, Oslo
Businger JA, Izumi Y, Bradley EF (1971) Flux profile relationships in the atmospheric surface layer. J Atmos Sci 28:181–189
Chang HM, Chang LF, Jeng FT (2002) The interfacial mass transfer resistances of the ozone dry deposition over the field soil of Taichung County in Chang. Environ Sci Pollut Res 9:385–391
Erisman JW, van Pul A, Wyers P (1994) Parameterization of surface resistance for the quantification of atmospheric deposition of acidifying pollutants and ozone. Atmos Envir 28:2595–2607
Fagerli H, Eliassen A (2002) Modified parameterization of the vertical diffusion. In: Transboundary acidification, eutrophication and ground level ozone in Europe. EMEP Summary Status Report, Research Report No. 141, Norwegian Meteorological Institute, Oslo, p 74
Finlayson-Pitts BJ (1983) Reaction of NO, with NaCl and atmospheric implications of NOCl formation. Nature 306:676–677
Hass H, Jacobs HJ, Memmesheimer M, Ebel A, Chang JS (1991) Simulation a wet deposition case in Europe using European Acid Deposition Model (EURAD). In: Air Pollution Modeling and its Applications VIII, Plenum, New York, pp 205–213
Holtslag AAM, Boville BA (1993) Local versus nonlocal boundary layer diffusion in a global climate model. J Clim 6:1825–1842
Lenschow DH, Li XS, Zhu CJ (1988) Stable stratified boundary layer over the Great Plains. Part I: Mean and turbulent structure. Bound Layer Meteor 42:95–121
Mihailovic DT, Alapaty K (2007) Intercomparison of two K-schemes: Local versus non-local in calculating concentrations of pollutants in chemical and air-quality models. Environ Model Software 22:1685–1689
Mihailovic DT, Alapaty K, Lalic B, Arsenic I, Rajkovic B, Malinovic S (2004) Turbulent transfer coefficients and calculation of air temperature inside tall grass canopies in land–atmosphere schemes for environmental modeling. J Appl Meteor 43:1498–1514
Mihailovic DT, Alalapaty K, Sakradzija M (2008) Development of a non-local convective mixing scheme with varying upward mixing rates for use in air quality and chemical transport models. Environ Sci Pollut Res 15:9–15
Moeng CH, Sullivan PP (1994) A comparison of shear and buoyancy driven planetary-boundary-layer flows. J Atmos Sci 51:999–1022
O’Brien JJ (1970) A note on the vertical structure of the eddy exchange coefficient in the planetary boundary layer. J Atmos Sci 27:213–1215
Pleim J, Chang JS (1992) A non local closure model for vertical mixing in the convective boundary layer. Atmos Environ 26A:965–981
Sanz MJ, Carratala A, Gimeno C, Millan MM (2002) Atmospheric nitrogen deposition on the east coast of Spain: relevance of dry deposition in semi-arid Mediterranean regions. Environ Pol 118:259–272
Sellers PJ, Dorman JL (1987) Testing the simple biosphere model (SiB) using point micrometeorological and biophysical data. J Climate Appl Meteor 26:622–651
Simpson D, Fagerli H, Jonson JE, Tsyro S, Wind P, Tuovinen JP (2003) Transboundary acidification, eutrophication and ground level ozone in Europe. Part I: Unified EMEP Model Description. EMEP Status Report 2003, ISSN 0806-4520, The Norwegian Meteorological Institute, Norway, p 74
Sofiev M, Siljamo P, Valkama I, Ilvonen M, Kukkonen J (2006) A dispersion modelling system SILAM and its evaluation against ETEX data. Atmos Environ 40:674–685
Stull RB (1988) An introduction to boundary layer meteorology. Kluwer Acad., Norwell, p 666
Troen I, Mahrt L (1986) A simple model of the atmospheric boundary layer; sensitivity to surface evaporation. Bound Layer Meteor 37:129–148
Varotsos P (1981) Determination of the composition of the maximum conductivity of diffusivity in mixed alkali halides. J Phys Chem Solids 42(5):405–407
Varotsos C (2005a) Airborne measurements of aerosol, ozone, and solar ultraviolet irradiance in the troposphere. J Geophys Res-Atmospheres 110 (D9) Article Number D09202, doi:10.1029/2004JD005397
Varotsos C (2005b) Modern computational techniques for environmental data; Application to the global ozone layer. Computational Science-ICCS 2005, PT 3, 3516, 504–510
Varotsos CA, Cracknell AP (2004) New features observed in the 11-year solar cycle. Int J Rem Sen 25:2141–2157
Varotsos PA, Sarlis NV, Skordas ES, Lazaridou MS (2004) Entropy in natural time domain. Phys Rev E 70:011106
Varotsos C, Assimakopoulos MN, Efstathiou M (2007) Technical Note: long-term memory effect in the CO2 concentration. Atmos Chem Phys 7:629–634
Wesely ML (1989) Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models. Atmos Environ 23:1293–1304
World Meteorological Organization (WMO) (1990) Scientific Assessment of Stratospheric Ozone: 1989, Vol. I. (Geneva, Switzerland: WMO)
Zhang C, Randall DA, Moeng CH, Branson M, Moyer M, Wang Q (1996) A surface parameterization based on vertically averaged turbulence kinetic energy. Mon Wea Rev 124:2521–2536
Acknowledgement
The research work described in this paper has been funded by the Ministry of Science Republic of Serbia under the project ‘Modelling and numerical simulations of complex physical systems’, No. ON141035 for 2006–2010. The work on this paper was partly realized by the first author during his visit to the Norwegian Meteorological Institute in Oslo.
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible editor: Costas Varotsos
Rights and permissions
About this article
Cite this article
Mihailovic, D.T., Alapaty, K. & Podrascanin, Z. Chemical transport models. Environ Sci Pollut Res 16, 144–151 (2009). https://doi.org/10.1007/s11356-008-0086-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-008-0086-0