Comparison of synoptic-based preprocessor estimates

Agricultural and Forest Meteorology

Volumn 98-99, Issue , 1999, Pages 509-519

  Erbes, G ^a   Pechinger, U ^a  

^a ZAMG Zentralanstalt fuer Meteorologie und Geodynamik   (Austria)

Author keywords

Atmospheric dispersion models; Boundary layer parameters; Meteorological preprocessors

Indexed keywords

BOUNDARY LAYER; ENVIRONMENTAL IMPACT ASSESSMENT; ESTIMATION METHOD; MEASUREMENT METHOD; PREDICTION; SYNOPTIC METEOROLOGY;

SWEDEN;

EID: 0033621420     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1923(99)00120-3     Document Type: Article

References (20)

1. Barker E.M., Baxter T.L. A note on the computation of atmospheric surface layer fluxes for use in numerical modelling. J. Appl. Meteorol. 14:1975;620-622.
2. Berkowicz R., Prahm L.P. Sensible heat flux estimated from routine meteorological data by the resistance method. J. Appl. Met. 21:1982;1845-1864.
3. Berkowicz R., Prahm L.P. Evaluation of the profile method for estimation of surface fluxes of momentum and heat. Atmos. Environ. 16:1982;2809-2819.
4. COST Action 710, 1998. Harmonization in the preprocessing of meteorological data for atmospheric dispersion models. Final report, in print.
5. Galinski A.E., Thomson D.J. Comparison of three schemes for predicting surface sensible heat flux. Boundary-Layer Meteorol. 72:1995;345-370.
6. Gryning, S.E., Batchvarova, E., 1999. Regional heat flux over the NOPEX area estimated from the evolution of the mixed layer. Agric. For. Meteorol. 98-99, 159-167.
7. Gryning S.E., Holtslag A.A.A., Irwin J.S., Sivertsen B. Applied dispersion modelling based on meteorological scaling parameters. Atmos. Environ. 21:1987;79-89.
8. Halldin, S., Gottschalk, L., Gryning, S.E., Jochum, A., Lundin, L.C., Van de Griend, A.A., 1999a. Energy, water, and carbon exchange in a boreal forest - NOPEX experiences. Agric. For. Meteorol 98-99, 5-29.
9. Halldin, S., Bergström, H., Dahlgren, L., Hjelm, P., Mellander, P.E., Nord, T., Jansson, P.E., Seibert, J., Smedman, A.S., 1998b. Continuous long-term measurements of soil-plant-atmosphere variables at an agricultural site. Agric. For. Meteorol. 98-99, 75-102.
10. Holtslag, A.A.M., van Ulden, A.P., 1982. Simple estimates of night-time surface fluxes from routine weather data. Report W.R. 82-4, KNMI. DeBilt, Netherlands.
11. Holtslag A.A.M., van Ulden A.P. A simple scheme for daytime estimates of the surface fluxes from routine weather data. J. Clim. Appl. Meteorol. 22:1983;517-529.
12. Karppinen A., Joffre S.M., Vaajama P. Boundary-layer parameterization for Finnish regulatory dispersion models. Int. J. Environ. and Pollution. 8:1997;557-564.
13. Lundin, L.C., Halldin, S., Nord, T., Etzelmüller, B., 1999. System of information in NOPEX - Retrieval use and query of climate data. Agric. For. Meteorol. 98-99, 31-51.
14. Olesen, H.R., Brown N., 1992. The OML meteorological preprocessor. Second edition. Report MST-Luft-A122, National Agency of Environmental Protection. Roskilde, Denmark.
15. Paulsen C.A. The mathematical representation of wind and temperature profiles in the unstable atmospheric surface layer. J. Appl. Meteor. 9:1970;857-861.
16. Smith, F.B., 1990. Atmospheric structure. Unpublished note presented at the conference of Air Pollution Modelling for Environmental Impact Assessment. International Centre for Theoretical Physics, Triese, June 1990.
17. Stull, R., 1988. An introduction to boundary layer meteorology. Kluwer Academic Publishers, Dordrecht, 666 pp.
18. Thomsen, A., Bärring, L., Gryning, S.E., Søgaard, H., Thorgeirsson, H., 1995. Data report for the NOPEX Tisby site, Concentrated Field Effort #1, 27 May-23 June 1994. NOPEX Technical Report No. 10. Available upon request from the Danish Institute of Plant and Soil Science, Foulum, Denmark.
19. Van Ulden A.P., Holtslag A.A.M. Estimation of atmospheric boundary layer parameters for diffusion applications. J. Clim. Appl. Met. 24:1985;1196-1207.
20. Wotawa G., Stohl A., Kromp-Kolb H. Parameterization of the planetary boundary layer over Europe - a data comparison between the observation based OML preprocessor and ECMWF model data. Contr. Atmos. Phys. 69:1996;273-284.