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3. D.L. Crouse, A. Balram, P. Hystad, L. Pinault, M. van den Boshm, H. Chen, D. Rainham, E.M.
Thomson, C.H. Close, A. van Donkelaar, R.V. Martin, R. Ménard, A. Robichaud, P.J. Villeneuve, Associations between living near water and risk of mortality among urban Canadians.
Environ. Health Perspect. 126(7) (2018). https://doi.org/10.1289/EHP3397
4. R. Ménard, A. Robichaud, The chemistry-forecast system at the Meteorological Service of
Canada. In: The ECMWF Seminar Proceedings on Global Earth-System Monitoring, Reading,
UK, 5–9 September 2005; pp. 297–308 (2005)
5. R. Ménard, Error covariance estimation methods based on analysis residuals: theoretical foundation and convergence properties derived from simplified observation networks. Q. J. R.
Meteorol. Soc. 142, 257–273 (2016). https://doi.org/10.1002/qj.2650
6. R. Ménard, M. Deshaies-Jacques, N. Gassett, A comparison of correlation-length estimation
methods for the objective analysis of surface pollutants at Environment and Climate Change
Canada. J. Air Waste Manag. Assoc. 66, 874–895 (2016). https://doi.org/10.1080/10962247.
2016.1177620
7. R. Ménard, M. Deshaies-Jacques, Error covariance estimation methods based on analysis residuals and its application to air quality surface observation networks. In: C. Mensink, G. Kallos
(Eds.) Air Pollution and Its Application XXV. Springer International AG, 249-253 (2017).
https://doi.org/10.1007/978-3-319-57645-9_40
8. R. Ménard, M. Deshaies-Jacques, Evaluation of analysis by cross-validation. Part I: Using
verification metrics. Atmosphere 9, 86 (2018a). https://doi.org/10.3390/atmos9030086, www.
mdpi.com/journal/atmosphere
9. R. Ménard, M. Deshaies-Jacques, Evaluation of analysis by cross-validation. Part II: Diagnostic
and optimization of analysis error covariance. Atmosphere 9, 70 (2018b). https://doi.org/10.
3390/atmos9020070, www.mdpi.com/journal/atmosphere
10. A. Robichaud, R. Ménard, Multi-year objective analysis of warm season ground-level ozone
and PM2.5 over North-America using real-time observations and Canadian operational air
quality models. Atmos. Chem. Phys. 14, 1769–1800 (2014). https://doi.org/10.5194/acp-141769-2014
11. 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 9,
743–759 (2016). https://doi.org/10.1007/s11869-015-0385-9
12. D. Stieb, R. Ménard, M. Smith-Doiron, J. Yao, S. Henderson, L. Pinault, A. Robichaud, A.
van Donkelaar, R.V. Martin, J. Brook, Spatial variability in ambient ozone and fine particles
concentrations and population susceptibility among Canadian health regions. Can. J. Public
Health (in print) (2019)
R. Ménard and M. Deshaies-Jacques
3. D.L. Crouse, A. Balram, P. Hystad, L. Pinault, M. van den Boshm, H. Chen, D. Rainham, E.M.
Thomson, C.H. Close, A. van Donkelaar, R.V. Martin, R. Ménard, A. Robichaud, P.J. Villeneuve, Associations between living near water and risk of mortality among urban Canadians.
Environ. Health Perspect. 126(7) (2018). https://doi.org/10.1289/EHP3397
4. R. Ménard, A. Robichaud, The chemistry-forecast system at the Meteorological Service of
Canada. In: The ECMWF Seminar Proceedings on Global Earth-System Monitoring, Reading,
UK, 5–9 September 2005; pp. 297–308 (2005)
5. R. Ménard, Error covariance estimation methods based on analysis residuals: theoretical foundation and convergence properties derived from simplified observation networks. Q. J. R.
Meteorol. Soc. 142, 257–273 (2016). https://doi.org/10.1002/qj.2650
6. R. Ménard, M. Deshaies-Jacques, N. Gassett, A comparison of correlation-length estimation
methods for the objective analysis of surface pollutants at Environment and Climate Change
Canada. J. Air Waste Manag. Assoc. 66, 874–895 (2016). https://doi.org/10.1080/10962247.
2016.1177620
7. R. Ménard, M. Deshaies-Jacques, Error covariance estimation methods based on analysis residuals and its application to air quality surface observation networks. In: C. Mensink, G. Kallos
(Eds.) Air Pollution and Its Application XXV. Springer International AG, 249-253 (2017).
https://doi.org/10.1007/978-3-319-57645-9_40
8. R. Ménard, M. Deshaies-Jacques, Evaluation of analysis by cross-validation. Part I: Using
verification metrics. Atmosphere 9, 86 (2018a). https://doi.org/10.3390/atmos9030086, www.
mdpi.com/journal/atmosphere
9. R. Ménard, M. Deshaies-Jacques, Evaluation of analysis by cross-validation. Part II: Diagnostic
and optimization of analysis error covariance. Atmosphere 9, 70 (2018b). https://doi.org/10.
3390/atmos9020070, www.mdpi.com/journal/atmosphere
10. A. Robichaud, R. Ménard, Multi-year objective analysis of warm season ground-level ozone
and PM2.5 over North-America using real-time observations and Canadian operational air
quality models. Atmos. Chem. Phys. 14, 1769–1800 (2014). https://doi.org/10.5194/acp-141769-2014
11. 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 9,
743–759 (2016). https://doi.org/10.1007/s11869-015-0385-9
12. D. Stieb, R. Ménard, M. Smith-Doiron, J. Yao, S. Henderson, L. Pinault, A. Robichaud, A.
van Donkelaar, R.V. Martin, J. Brook, Spatial variability in ambient ozone and fine particles
concentrations and population susceptibility among Canadian health regions. Can. J. Public
Health (in print) (2019)