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LIEN VERS LA PAGE WEB EN FRANÇAIS Atmospheric Transport and
Dispersion Modelling Automatic Simulations for
Forest Fire Smoke in Canada Technical
Documentation MODELLING PARAMETERS The atmospheric transport and
dispersion modelling simulations for forest fire smoke are produced
automatically based on the emission scenario given in the table below.
INFORMATION ON PRODUCTS These products are
published by the Canadian Meteorological Centre’s (CMC) Environmental
Emergency Response Section (EERS) and are updated four times a day in synchronization
with the latest meteorological forecasts of the High Resolution Deterministic
Prediction System (HRDPS) at 2.5 km horizontal grid mesh. These meteorological forecasts drive the MLDP atmospheric dispersion
model. These simulations are
based on the emission scenario described above in the modelling parameters
table for planning and prevention purposes (e.g. command post establishment,
guidance for air and ground sampling) for emergency management organizations. Red dots displayed on the maps
represents the detected hotspots used in the modelling. Blue dots displayed on the maps represents
main cities. The near-ground (with the layer
SFC-250 m) modelled PM2.5 concentrations (micrograms/m3)
are displayed according to the color bar scale. Modelled smoke concentrations can vary
greatly from one fire to another and from one simulation to another due to
the diurnal cycle, the meteorological conditions prevailing at the location
and time of emission, the behaviour of the fire and the presence of cloud
cover precluding the detection of hotspots by the sensors. The mean sea-level pressure field is
superimposed on the animations. This field is depicted with isobars (thin
solid black lines) every 4 hPa. The low level wind field (near the
surface, i.e. at 40 m above ground level) is displayed in background on the
animations and is depicted with thin grey barbs. The wind speed is expressed
in knots. The wind speed scale is displayed in the lower right corner. The date and time of
validity of the forecast are displayed in the upper left corner in the time
zone of the region (UTC or daylight saving time). Since the simulations use high spatial
and temporal resolution data, some topographical effects might be well
captured by the dispersion model (e.g. channeling effects). In some cases,
higher resolution data may be required. Authorized users may request
assistance in interpretation of products by contacting the Environmental
Emergency Response Section (EERS) at the Canadian Meteorological Centre
(CMC). Note that for each domain: 1)
A time
animation of the forecast of PM2.5 concentrations is available and
can be viewed using the anim.html file (for online visualization). 2)
A time
animation of the forecast of PM2.5 concentrations is available and
can be viewed by downloading the zip file (for offline visualization). 3)
Near-ground
modelled PM2.5 concentrations forecast is available by downloading
the georeferenced Shapefile format file (shp.zip).
OTHER AVAILABLE PRODUCTS The Environmental Data Processing
Applications Section (EDPAS) provides additional air quality products for
smoke forest fires over Canada through the FireWork system:
The Copernicus Atmosphere
Monitoring Service (CAMS) provides additional air quality products for
smoke fires over Canada such as Particulate Matter (PM2.5)
Forecasts. MAIN FEATURES OF MLDP AND
FIREWORK SYSTEMS The following document describes
the main features of complementary MLDP and FireWork systems. REMARK High-resolution
products on small geographical domains can be configured differently upon
users’ requests. REFERENCES
TO MLDP MODEL Hoffman, I., Malo, A.,
Ungar, K., 2022, “Uncertainty
and source term reconstruction with environmental air samples”,
Journal of Environmental Radioactivity, 246,
106836, doi:10.1016/j.jenvrad.2022.106836. Hoffman, I., Malo, A.,
Mekarski, P., Yi, J., Zhang, W., Ek, N., Bourgouin, P., Wotawa, G., Ungar,
K., 2020, “Mapping
the deposition of 137Cs and 131I in North America
following the 2011 Fukushima Daiichi Reactor accident”, Atmospheric
Environment: X, 6, 100072, doi:10.1016/j.aeaoa.2020.100072. Maurer, C., Baré, J.,
Kusmierczyk-Michulec, J., Crawford, A., Eslinger, P.W., Seibert, P., Orr, B.,
Philipp, A., Ross, O., Generoso, S., Achim, P., Schoeppner, M., Malo, A.,
Ringbom, A., Saunier, O., Quèlo, D., Mathieu, A., Kijima, Y., Stein, A.,
Chai, T., Ngan, F., Leadbetter, S.J., De Meutter, P., Delcloo, A., Britton,
R., Davies, A., Glascoe, L.G., Lucas, D.D., Simpson, M.D., Vogt, P.,
Kalinowski, M., Bowyer, T.W., 2018, “International
challenge to model the long-range transport of radioxenon released from
medical isotope production to six Comprehensive Nuclear-Test-Ban Treaty
monitoring stations”, Journal of Environmental Radioactivity, 192, 667–686, doi:10.1016/j.jenvrad.2018.01.030. Sioris, C. E., Malo, A.,
McLinden, C. A., D’Amours, R., 2016, “Direct injection of water vapor into the
stratosphere by volcanic eruptions”, Geophysical Research Letters, 43 (14), 7694–7700, doi:10.1002/2016GL069918. Eslinger, P. W., Bowyer,
T. W., Achim, P., Chai, T., Deconninck, B., Freeman, K., Generoso, S., Hayes,
P., Heidmann, V., Hoffman, I., Kijima, Y., Krysta, M., Malo, A., Maurer, C.,
Ngan, F., Robins, P., Ross, J. O., Saunier, O., Schlosser, C., Schöppner, M.,
Schrom, B. T., Seibert, P., Stein, A. F., Ungar, K., Yi, J., 2016, “International challenge to predict the
impact of radioxenon releases from medical isotope production on a
comprehensive nuclear test ban treaty sampling station”, Journal of
Environmental Radioactivity, 157,
41–51, doi:10.1016/j.jenvrad.2016.03.001. D’Amours, R., Malo, A., Flesch, T., Wilson, R.,
Gauthier, J.-P., Servranckx, R., 2015, “The Canadian Meteorological Centre’s
Atmospheric Transport and Dispersion Modelling Suite”,
Atmosphere-Ocean, 53 (2), 176–199,
doi:10.1080/07055900.2014.1000260. Draxler, R., Arnold, D.,
Chino, M., Galmarini, S., Hort, M., Jones, A., Leadbetter, S., Malo, A., Maurer,
C., Rolph, G., Saito, K., Servranckx, R., Shimbori, T., Solazzo, E., Wotawa,
G., 2015, “World Meteorological Organization’s Model
Simulations of the Radionuclide Dispersion and Deposition from the Fukushima
Daiichi Nuclear Power Plant Accident”, Journal of Environmental
Radioactivity, 139, 172–184, doi:10.1016/j.jenvrad.2013.09.014. Katata, G., Chino, M.,
Kobayashi, T., Terada, H., Ota, M., Nagai, H., Kajino, M., Draxler, R., Hort,
M. C., Malo, A., Torii, T., Sanada, Y., 2015, “Detailed source term estimation of the
atmospheric release for the Fukushima Daiichi Nuclear Power Station accident
by coupling simulations of an atmospheric dispersion model with an improved
deposition scheme and oceanic dispersion model”, Atmospheric
Chemistry and Physics, 15 (2),
1029–1070, doi:10.5194/acp-15-1029-2015. Health Canada, November
2015, “Special
Environmental Radiation in Canada Report on Fukushima Accident Contaminants –
Technical Report: Surveillance of Fukushima Emissions in Canada March 2011 to
June 2011”, Radiation Protection Bureau, Ottawa, ON, Canada, 122 p, http://publications.gc.ca/site/eng/9.801801/publication.html. D’Amours, R., Mintz, R., Mooney,
C., Wiens, B. J., 2013, “A modeling assessment of the origin of
Beryllium-7 and Ozone in the Canadian Rocky Mountains”, Journal of Geophysical Research:
Atmospheres, 118 (7),
10125–10138, doi:10.1002/jgrd.50761. Stocki, T. J., Ungar, R.
K., D’Amours, R., Bean, M., Bock, K., Hoffman, I., Korpach, E., Malo, A.,
2011, “North Korean nuclear test of October 9th,
2006: The utilization of health Canada’s radionuclide monitoring network and
environment Canada’s atmospheric transport and dispersion modelling”,
Radioprotection, 46 (6),
S529–S534, doi:10.1051/radiopro/20116803s. D’Amours, R., Malo, A.,
Servranckx, R., Bensimon, D., Trudel, S., Gauthier, J.-P., 2010, “Application of the atmospheric Lagrangian
particle dispersion model MLDP0 to the 2008 eruptions of Okmok and Kasatochi
volcanoes”, Journal of Geophysical Research, 115 (D2), 1–11, doi:10.1029/2009JD013602. ACRONYMS
Last update:
23 August 2022, 15:55 UTC |
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