40 Total Deposition Maps Evaluated from Measurement-Model Fusion …
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most sensitive parameter for OA production, and dry deposition velocity is the highest source of uncertainly for deposition maps. Preliminary inter-comparison with
deposition maps produced by US EPA (Schwede and Lear [4], TDEP project) shows
reasonable agreement despite different methodologies used. A new version of deposition maps is currently underway using the techniques of sensitivity tests. Finally,
the results of ADAGIO are also compared to previous maps obtained using kriging
algorithm (e.g., [6]) and gives consistent results.
Acknowledgements The first author wishes to acknowledge helpful discussions with Martin
Deshaies and Richard Ménard concerning some aspects of error statistics and cross-validation.
References
1. E. Kalnay, Atmospheric Modeling, Data Assimilation and Predictability (Cambridge University
Press, Cambridge, 2003)
2. M.D. Moran, S. Ménard, R. Pavlovic, D. Anselmo, S. Antonopoulos, A. Robichaud, S. Gravel,
P.A. Makar, W. Gong, C. Stroud, J. Zhang, Q. Zheng, H. Landry, P.A. Beaulieu, S. Gilbert,
J. Chen, A. Kallaur, Recent advances in Canada’s national operational air quality forecasting
system, in 32nd NATO-SPS ITM, 7–11 May 2012 Utrecht, NL (2012)
3. A. Robichaud, R. Ménard, Y. Zaïtseva, D. Anselmo, Multi-pollutant surface objective analyses
and mapping of air quality health index over North America. Air Qual. Atmos. Health (2016).
https://doi.org/10.1007/s11869-015-0385-9
4. B.D. Schwede, G.G. Lear, A novel hybrid approach for estimating total deposition in the United
States. Atmos. Environ. 92, 207–220 (2014)
5. R. Vet, C.-U. Ro, Contribution of Canada–United States transboundary transport to wet deposition of Sulphur and nitrogen oxides—a mass balance approach. Atmos. Environ. 42 (2008).
https://doi.org/10.1016/j.atmosenv.2007.12.034
6. R. Vet et al., A global assessment of precipitation chemistry and deposition of sulfur, nitrogen,
sea salt, base cations, organic acids, acidity and pH, and phosphorus. Atmos. Env. 13, 3–100
(2014)
259
most sensitive parameter for OA production, and dry deposition velocity is the highest source of uncertainly for deposition maps. Preliminary inter-comparison with
deposition maps produced by US EPA (Schwede and Lear [4], TDEP project) shows
reasonable agreement despite different methodologies used. A new version of deposition maps is currently underway using the techniques of sensitivity tests. Finally,
the results of ADAGIO are also compared to previous maps obtained using kriging
algorithm (e.g., [6]) and gives consistent results.
Acknowledgements The first author wishes to acknowledge helpful discussions with Martin
Deshaies and Richard Ménard concerning some aspects of error statistics and cross-validation.
References
1. E. Kalnay, Atmospheric Modeling, Data Assimilation and Predictability (Cambridge University
Press, Cambridge, 2003)
2. M.D. Moran, S. Ménard, R. Pavlovic, D. Anselmo, S. Antonopoulos, A. Robichaud, S. Gravel,
P.A. Makar, W. Gong, C. Stroud, J. Zhang, Q. Zheng, H. Landry, P.A. Beaulieu, S. Gilbert,
J. Chen, A. Kallaur, Recent advances in Canada’s national operational air quality forecasting
system, in 32nd NATO-SPS ITM, 7–11 May 2012 Utrecht, NL (2012)
3. A. Robichaud, R. Ménard, Y. Zaïtseva, D. Anselmo, Multi-pollutant surface objective analyses
and mapping of air quality health index over North America. Air Qual. Atmos. Health (2016).
https://doi.org/10.1007/s11869-015-0385-9
4. B.D. Schwede, G.G. Lear, A novel hybrid approach for estimating total deposition in the United
States. Atmos. Environ. 92, 207–220 (2014)
5. R. Vet, C.-U. Ro, Contribution of Canada–United States transboundary transport to wet deposition of Sulphur and nitrogen oxides—a mass balance approach. Atmos. Environ. 42 (2008).
https://doi.org/10.1016/j.atmosenv.2007.12.034
6. R. Vet et al., A global assessment of precipitation chemistry and deposition of sulfur, nitrogen,
sea salt, base cations, organic acids, acidity and pH, and phosphorus. Atmos. Env. 13, 3–100
(2014)