Chapter 40
Total Deposition Maps Evaluated
from Measurement-Model Fusion
in North America (ADAGIO Project)
Alain Robichaud, Amanda Cole, Michael Moran, Alexandru Lupu,
M. Shaw, G. Roy, M. Beauchemin, V. Fortin and R. Vet
Abstract Environment and Climate Change Canada’s ADAGIO project (Atmospheric Deposition Analysis Generated by Optimal Interpolation using Observations)
produces maps of wet, dry and total annual deposition of oxidized and reduced nitrogen (N) and sulphur (S) and ozone in Canada and the United States by combining
in an optimal way observed and modeled data. Optimal interpolation methods are
used to provide the best objective analyses of seasonally-averaged surface concentrations of gaseous, particulate, and precipitation species predicted by Environment and
Climate Change Canada’s in-line regional air quality model GEM-MACH (Global
Environmental Multiscale model—Modelling Air quality and Chemistry) based on
the difference between the modeled and measured values at network observation sites.
The resulting objective analyses (OA) for gas and particulate species concentration
fields are then combined with effective deposition velocities from GEM-MACH to
calculate dry deposition. Concentrations of precipitation ions are combined with precipitation amounts from the Canadian Precipitation Analysis (CaPA), in which all
available precipitation data sets are used to adjust precipitation amounts predicted
by GEM, to calculate wet deposition. Results from the 2010 development year are
compared with previously-generated wet deposition kriging maps, results from the
A. Robichaud (B)
Modelling and Integration Research Section, Air Quality Research Division,
Environment and Climate Change Canada, Dorval, Canada
e-mail: alain.robichaud@canada.ca
M. Moran · A. Lupu
Modelling and Integration Research Section, Air Quality Research Division,
Environment and Climate Change Canada, Downsview, Canada
A. Cole · M. Shaw · R. Vet
Measurements and Analysis Research Section, Air Quality Research Division,
Environment and Climate Change Canada, Downsview, Canada
G. Roy · M. Beauchemin
High Impact Weather National Laboratory, Meteorological Service of Canada, Environment and
Climate Change Canada, Montreal, Canada
V. Fortin
Environmental Numerical Weather Prediction Research, Meteorological Research Division,
Environment and Climate Change Canada, Dorval, Canada
© Crown 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity, https://doi.org/10.1007/978-3-030-22055-6_40
255
Total Deposition Maps Evaluated
from Measurement-Model Fusion
in North America (ADAGIO Project)
Alain Robichaud, Amanda Cole, Michael Moran, Alexandru Lupu,
M. Shaw, G. Roy, M. Beauchemin, V. Fortin and R. Vet
Abstract Environment and Climate Change Canada’s ADAGIO project (Atmospheric Deposition Analysis Generated by Optimal Interpolation using Observations)
produces maps of wet, dry and total annual deposition of oxidized and reduced nitrogen (N) and sulphur (S) and ozone in Canada and the United States by combining
in an optimal way observed and modeled data. Optimal interpolation methods are
used to provide the best objective analyses of seasonally-averaged surface concentrations of gaseous, particulate, and precipitation species predicted by Environment and
Climate Change Canada’s in-line regional air quality model GEM-MACH (Global
Environmental Multiscale model—Modelling Air quality and Chemistry) based on
the difference between the modeled and measured values at network observation sites.
The resulting objective analyses (OA) for gas and particulate species concentration
fields are then combined with effective deposition velocities from GEM-MACH to
calculate dry deposition. Concentrations of precipitation ions are combined with precipitation amounts from the Canadian Precipitation Analysis (CaPA), in which all
available precipitation data sets are used to adjust precipitation amounts predicted
by GEM, to calculate wet deposition. Results from the 2010 development year are
compared with previously-generated wet deposition kriging maps, results from the
A. Robichaud (B)
Modelling and Integration Research Section, Air Quality Research Division,
Environment and Climate Change Canada, Dorval, Canada
e-mail: alain.robichaud@canada.ca
M. Moran · A. Lupu
Modelling and Integration Research Section, Air Quality Research Division,
Environment and Climate Change Canada, Downsview, Canada
A. Cole · M. Shaw · R. Vet
Measurements and Analysis Research Section, Air Quality Research Division,
Environment and Climate Change Canada, Downsview, Canada
G. Roy · M. Beauchemin
High Impact Weather National Laboratory, Meteorological Service of Canada, Environment and
Climate Change Canada, Montreal, Canada
V. Fortin
Environmental Numerical Weather Prediction Research, Meteorological Research Division,
Environment and Climate Change Canada, Dorval, Canada
© Crown 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity, https://doi.org/10.1007/978-3-030-22055-6_40
255