Grid sensitivity analysis for the calibration of a prognostic meteorological model in complex terrain by a screening experiment

Environmental Modelling and Software

Volumn 22, Issue 1, 2007, Pages 33-39

  Zoras, S ^a   Triantafyllou, A G ^a   Hurley, P J ^b  

^a UNIVERSITY OF WESTERN MACEDONIA   (Greece)

^b CSIRO   (Australia)

Author keywords

Grid size and resolution; Input uncertainty; Local and grid sensitivity analysis; Model calibration; Prognostic meteorological model; Screening experiment

Indexed keywords

AIR POLLUTION; CALIBRATION; COMPUTER SIMULATION; SENSITIVITY ANALYSIS;

GRID CONFIGURATION; GRID SENSITIVITY ANALYSIS; PROGNOSTIC METEOROLOGICAL MODELS; UNCERTAINTY ELEMENTS;

DISTRIBUTED COMPUTER SYSTEMS;

CALIBRATION; METEOROLOGY; MODEL; SENSITIVITY ANALYSIS; SIMULATION; TERRAIN;

EID: 33749250519     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2005.09.010     Document Type: Article

References (28)

1. Babendreier J.E., and Castleton K.J. Investigating uncertainty and sensitivity in integrated, multimedia environmental models: tools for FRAMES-3MRA. Environmental Modelling and Software 20 8 (2005) 1043-1055
2. Box G.E.P., Hunter W.G., and Hunter J.S. Statistics for Experimenters. An Introduction to Design, Data Analysis and Model Building (1978), Wiley, New York
3. Brizio E., and Genon G. The influence of different mixing heights on the ECOSENSE model results at a local scale. Environmental Modelling and Software 20 7 (2005) 917-933
4. Capaldo K.P., and Pandis S.N. Dimethylsulfide chemistry in the remote marine atmosphere: evaluation and sensitivity analysis of available mechanisms. Journal of Geophysical Research 102 (1997) 23251-23267
5. Chen F., Yates D.N., Nagai H., Lemone M.A., Ikeda K., and Grossman R.L. Land surface heterogeneity in the cooperative atmosphere surface exchange study (CASES-97). Part I: comparing modeled surface flux maps with surface-flux tower and aircraft measurements. Journal of Hydrometeorology 4 (2003) 196-218
6. Daniel C. On varying one factor at a time. Biometrics 14 (1958) 430-431
7. Daniel C. One-at-a-time-plans. Journal of the American Statistical Association 68 (1973) 353-360
8. Dunker A.M., Yarwood G., Ortmann J.P., and Wilson G.M. The decoupled direct method for sensitivity analysis in a three-dimensional air quality model - implementation, accuracy and efficiency. Environmental Science and Technology 36 (2002) 2965-2976
9. Fine J., Vuilleumier L., Reynolds S., Roth P., and Brown N. Evaluating uncertainties in regional photochemical air quality modeling. Annual Review of Environment and Resources 28 (2003) 59-106
10. Hurley P. Verification of TAPM meteorological predictions in the Melbourne region for a winter and summer month. Australian Meteorological Magnitude 49 (2000) 97-107
11. Hurley P. The Air Pollution Model (TAPM) Version 2. Part 1: Technical Description, CSIRO Atmospheric Research Technical Paper No. 55. Available at: (2002).
12. Hurley P., Physick W., and Luhar A. The Air Pollution Model (TAPM) Version 2. Part 2: Summary of Some Verification Studies, CSIRO Atmospheric Research Technical Paper No. 57. Available at: (2002).
13. Hurley P., Physick W., and Luhar A. TAPM - a practical approach to prognostic meteorological and air pollution modelling. Environmental Modelling and Software 20 (2005) 737-752
14. Lamprecht R., and Berlowitz D. Evaluation of diagnostic and prognostic flow fields over prealpine complex terrain by comparison of the lagrangian prediction of concentrations with tracer measurements. Atmospheric Environment 32 7 (1998) 1283-1300
15. Merritt W.S., Croke B.F.W., and Jakeman A.J. Sensitivity testing of a model for exploring water resources utilisation and management options. Environmental Modelling and Software 20 8 (2005) 1013-1030
16. Mihailovic D.T., Rao S.T., Alapaty K., Ku J.Y., Arsenic I., and Lalic B. A study on the effects of subgrid-scale representation of land use on the boundary layer evolution using a 1-D model. Environmental Modelling and Software 20 6 (2005) 705-714
17. Morris M.D. Factorial sampling plans for preliminary computational experiments. Technometrics 33 (1991) 161-174
18. Panuska J.C., Moore I.D., and Kramer L.A. Terrain analysis - integration into the agricultural nonpoint source (AGNPS) pollution model. Journal of Soil and Water Conservation 46 1 (1991) 59-64
19. Priklonsky V.I., Reible D.D., and Tyler J.M. Consistent unconfined contaminated disposal facilities dike tidal flow and transport model. Environmental Modelling and Software 20 9 (2005) 1071-1079
20. Russell A., and Dennis R. NARSTO critical review of photochemical models and modeling. Atmospheric Environment 34 (2000) 2283-2324
21. Sacks J., Welch W.J., Mitchell T.J., and Wynn H.P. Design and analysis of computer experiments. Statistical Science 4 (1989) 409-435
22. Saltelli A., Chan K., and Scott E.M. Sensitivity Analysis (2000), Wiley, Chichester
23. Triantafyllou A.G. Patterns and concentrations of PM10 in a mountainous basin region. Journal of Air and Waste Management Association 50 (2000) 1017-1022
24. Triantafyllou A.G. PM10 pollution episodes as a function of synoptic climatology in a mountainous industrial area. Environmental Pollution 112 3 (2001) 491-500
25. Triantafyllou A.G. Levels and trend of suspended particles around large lignite power stations. Environmental Monitoring and Assessment 89 (2003) 15-34
26. Triantafyllou A.G., and Kassomenos P. Aspects of atmospheric flow and pollutants dispersion in a mountainous basin. Science of the Total Environment 297 (2002) 85-103
27. Willmott C.J. On the validation of models. Physical Geography 2 (1981) 184-194
28. Yates D.N., Chen F., and Nagai H. Land surface heterogeneity in the cooperative atmosphere surface exchange study (CASES-97). Part II: analysis of spatial heterogeneity and its scaling. Journal of Hydrometeorology 4 (2003) 219-234