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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
PROJECT CHARTER
Advanced Emergency Response System for
CBRN Hazard Prediction and Assessment for the Urban Environment
(CRTI Project : 02-0093RD)
TO THE
MEMORANDUM OF UNDERSTANDING
CONCERNING
THE CHEMICAL, BIOLOGICAL, RADIOLOGICAL OR NUCLEAR
RESEARCH AND TECHNOLOGY INITIATIVE (CRTI)
FEDERAL LEAD: Environment Canada
(Canadian Meteorological Centre and Atmospheric and Climate
Sciences Directorate)
DATED 27 July 2006
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DISTRIBUTION LIST
Action – Internal
Mr Richard Hogue
Ms Magda Little
Mr. Pierre Pellerin
Action – External
Dr Eugene Yee
Dr Fue-Sang Lien
Dr John Wilson
Dr Kurt Ungar
Dr Phil Davis
Mr Ted Sykes
Information – Internal
Mrs Angèle Simard
Mr Michel Jean
Dr Gilbert Brunet
Dr Janusz Pudykiewicz
Dr Keith Puckett
Dr Michel Béland
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Information - External
Dr Kent Harding
Dr Jack Cornett
Ms Dorothy Meyerhof
Director of CRTI
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RECORD OF AMENDMENTS
Amendment No.
Amendment Date
Entered By
Date
1
27 July 2006
Richard Hogue
27 July 2006
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DOCUMENT OVERVIEW
1. BACKGROUND
The release of chemical, biological, radiological, or nuclear (CBRN) agents by
terrorists or rogue states in a North American city (densely populated urban centre)
and the subsequent exposure, deposition, and contamination are emerging threats in
an uncertain world. The transport, dispersion, deposition and fate of a CBRN agent
released in an urban environment is an extremely complex problem that encompasses
potentially multiple space and time scales (e.g., a chemical agent may have a hazard
range of only several to tens of kilometers, a biological agent may pose hazards over a
range of several hundreds of kilometers, whereas radiological and nuclear agents may
result in a hazard range of several to tens of thousands of kilometers). The
availability of high-fidelity, time-dependent models for the prediction of a CBRN
agent’s movement and fate in a complex urban environment can provide the strongest
technical and scientific foundation for support of Canada’s more broadly based effort
at advancing counter-terrorism planning and operational capabilities.
We propose to develop an advanced, fully validated, state-of-the-science modelling
system for the predition of urban flow (i.e., turbulent flow through cities) and the
concomitant problem of the dispersion of CBRN agents released in a populated urban
complex. This innovative procedure will allow CBRN materials to be tracked from
the near field (up to about 2 km, where dispersion is governed by the turbulence scale
or micro-scale in the planetary boundary layer), through the intermediate field
(between 2 and 20 km, where dispersion is governed by the local (meso-gamma)
scale), to the far field (covering the range from 20-200 km (meso-beta scale) and from
200-2000 km (meso-alpha scale) which correspond to dispersion at the regional
scales) and finally out to the very far field (greater than 2000 km corresponding to
dispersion on the large (synoptic and global) scales) at the appropriate resolution for
each length scale. Development of this proposed multi-scale modelling system will
provide a real-time modelling and simulation tool to predict injuries, casualities, and
contamination and to make relevant decisions (based on the strongest technical and
scientific foundations) to minimize the consequences based on a pre-determined
decision-making framework.
The modelling system proper will consist of 5 major components: (1) development of
models for prediction of flow in urban areas at the micro-scale; (2) inclusion of subgrid scale urban parameterization in a meso-gamma scale numerical weather
prediction model (Global Environmental Multiscale or GEM, and its limited area
version the GEM LAM); (3) coupling the urban microscale model for flow prediction
with the “urbanized” meso-gamma scale model; (4) development of a Lagrangian
Stochastic (LS) model for prediction of urban dispersion making use of the multiscale flow model developed in (3) as the “driver”. These 4 components will be
integrated into one comprehensive modelling system which as the fifth (5) component
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will be verified and validated using data from an actual urban test case (Oklahoma
City). The final product of this research activity will be a high-fidelity multiscale
CBRN modelling system that will be fully operational at the Environmental
Emergency Response Division at the Canadian Meteorological Centre. This resource
is intended to serve as a nation-wide general problem-solving tool for first-responders
involved with CBRN incidents.
On July 29, 2005 CRTI approved supplemental funding of an extension of the
current project under the CRTI Supplemental Funding Program for existing
projects. The approved supplemental funding was requested through the Public
Security Technical Program under the project title “United States/Canada
Collaborative Projects on Science and Technology in Urban Transport Modeling
Related to Homeland Security”. The primary objective of this collaboration is to
bring together scientific experts from United States and Canada to advance
scientific understanding of urban flow modeling and atmospheric transport and
dispersion in the urban environment. Specific objectives are: (1) strengthen urban
flow and dispersion modeling and model validation using atmospheric tracer and
meteorological field studies in a large city; and, (2) perform inverse source
determination (source reconstruction).
The proposed multiscale modelling system will change the scientific and operational
landscape in coming years by providing a more comprehensive understanding and
deeper insights into how CBRN materials disperse through complex environments
(e.g., cities) and what can be done to mitigate their effects on dense population
centres. Fundamental understanding of the transport and fate of CBRN agents
released in the atmosphere, obtained from modelling and simulation, will provide the
basis for the rational design of greatly improved mitigation strategies for CBRN
agents, provide advances in CBRN counter-terrorism planning, and consequently
enhance future operational capabilities.
2. INTRODUCTION
2.1 This Project Charter hereby establishes the CRTI Project: 02-0093RD
Advanced Emergency Response System for CBRN Hazard Prediction and
Assessment for the Urban Environment as a project in accordance with the
Chemical, Biological, Radiological, and Nuclear Research and Technology
Initiative (CRTI) Memorandum of Understanding (MOU).
2.2 This Project Charter is subsidiary to the MOU.
2.3 CRTI Funds can only be transferred to the Lead Participant, if they are a
signatory to the MOU, and a satisfactorily completed Project Charter has been
filed with the CRTI Secretariat.
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3. SCOPE
3.1 Included Work: Description of Advanced System for Urban Hazard
Prediction and Assessment
CBRN agents released in the atmosphere will be transported and dispersed over an
enormous range of length and time scales. Consequently, to model this phenomenon
accurately will involve multiple levels of physical and mathematical descriptions
(viz., multiscale methods). Such simulations require a sophisticated array of models
and numerical algorithms appropriate to the diverse and impressive spectrum of
spatial and time scales that control the transport, dispersion, and fate of CBRN agents
released into the atmosphere. This sub-section describes briefly how a high-fidelity,
integrated, multiscale modeling system, that is built upon state-of-the-art physics for
the prediction of atmospheric flow in urban environments and concomitant dispersion
of CBRN agents, can be developed and validated. The execution of the project proper
to achieve this objective consists of five (5) major components: (1) development of
models for prediction of flow in urban areas at the microscale; (2) inclusion of subgrid scale urban parameterization in a meso-gamma scale numerical weather
prediction model (GEM-GEM LAM); (3) coupling the urban microscale model for
flow prediction with the “urbanized” meso-gamma scale model; (4) development of a
Lagrangian Stochastic (LS) model for prediction of urban dispersion which will be
interfaced with the multiscale flow model; and (5) verification and validation of the
entire modeling system. In addition to these 5 components, an additional sixth
component has been included in the current effort under the Public Security Technical
Program project “United States/Canada Collaborative Projects on Science and
Technology in Urban Transport Modeling Related to Homeland Security” and funded
under the CRTI Supplemental Funding Program for existing projects. Component 6
consists of two major tasks: namely, (1) Task 1 – Urban flow and dispersion
modeling using atmospheric tracer and meteorological field studies in a large city
(Oklahoma City, Oklahoma, US and Montreal, PQ, Canada) and, (2) Task 2 –
Determination of the source characteristics given a limited number of noisy
concentration measurements obtained from a network of detectors/sensors. Each of
these components will now be briefly described. Project milestones, deliverables, and
associated dates are detailed in section 4.2 of this document as well as the attached
Gantt Chart.
3.1.1 Component 1
This component involves the development of models to predict the mean flow and
turbulence in the urban complex at the microscale (from the building and street scale
up to a length scale of about 2 km). Two kinds of models will be developed. Firstly,
high-resolution Reynolds-averaged Navier-Stokes (RANS) models, where buildings
and other obstacles in a restricted flow domain are explicitly resolved, will be
developed and implemented. Secondly, spatially-averaged RANS models, where
groups of buildings/obstacles in a more extended flow region are represented in terms
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of a distributed drag force, will be developed and implemented. In this approach,
treating groups of buildings as a momentum sink, in lieu of imposing correct
boundary conditions on the true (complex) geometry will allow a much more efficient
determination of the urban flow field in a more extensive flow domain where it would
be computationally prohibitive to resolve each and every building/obstacle explicitly.
These two kinds of models will be coupled upwards with the “urbanized” mesogamma scale meteorological models to extend their range of scales to larger scales
(viz., characteristic length scale larger than about 2 km).
3.1.2 Component 2
Component 2 involves inclusion of the effects of urban terrain in the sub-grid scales
of a mesoscale meteorological model (GEM-GEM LAM) through an urban
parameterization. This parameterization will be developed in order to account for the
area-averaged effects of form drag, increased turbulence production, heating and
surface energy budget modification due to the presence of buildings/obstacles and
urban landuse within the urban complex. The “urbanized” mesoscale model will be
coupled downwards with the urban microscale flow models developed in component
1.
3.1.3 Component 3
Component 3 involves coupling the urban microscale flow models developed in
component 1 with the “urbanized” mesoscale model developed in component 2. The
interface between the urban micro-scale flow models and the “urbanized” GEM-GEM
LAM model is demanding in that the information transfer between the two models
must honor physical conservation laws, mutually satisfy mathematical boundary
conditions, and preserve numerical accuracy, even though the corresponding meshes
might differ in structure, resolution, and discretization methodology. Inter-grid
communication allows the coarse mesh solution obtained by the GEM-GEM LAM
model to impose boundary conditions on the fine mesh of the urban micro-scale flow
model (one-way interaction), and furthermore permits feedback from the fine mesh to
the coarse mesh (two-way interaction). The coupled system can be interpreted as a
hybrid RANS/VLES system where the “very large eddy simulation” (VLES)
represented by the mesoscale model (GEM-GEM LAM) will use information from
RANS for the high-resolution simulation of flows near and around buildings, but
allows spatial fluctuations to develop and evolve on the larger scales.
3.1.4 Component 4
Component 4 involves using the mean flow and turbulence predicted by the multiscale flow model completed in component 3 to “drive” a Lagrangian Stochastic (LS)
model for the prediction of urban (and, atmospheric) dispersion of CBRN agents. The
application of LS models to atmospheric dispersion in general (and, urban dispersion
in particular) is recommended because LS models (1) are (in principle) the most
flexible and the most easily able to incorporate all the known statistical details on the
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complex urban flow and (2) are physically transparent, and easily adapted to handle
particulates, biological or radioactive decay, dry and wet depositions, and other
relevant source and sink mechanisms.
3.1.5 Component 5
Component 5 involves the verification and validation of the multiscale modelling
system for both the flow and dispersion components. In the model validation effort,
past and future (planned) comprehensive urban flow and dispersion experiments will
be leveraged (e.g., Mock Urban Setting Trial, Joint Urban Trial 2003). The validation
effort will enable a whole system test of the modeling system for both flow and
dispersion, and will provide the user with information of the accuracy and fidelity of
the model predictions for flow and dispersion over the complex urban environment.
3.1.6 Component 6
Component 6 consists of two major tasks: Task 1 – Urban flow and dispersion
modeling using atmospheric tracer and meteorological field studies in a large city
(Oklahoma City, Oklahoma, US and Montreal, PQ, Canada) and, (2) Task 2 –
Determination of the source characteristics given a limited number of noisy
concentration measurements obtained from a network of detectors/sensors.
3.1.6.1 Task 1
Task 1 is concerned with a new set of urban field experiments involving
comprehensive field campaigns to be conducted in Montreal, Quebec by Environment
Canada and in Oklahoma City, Oklahoma by Department of Homeland Security and
Department of Defense. These new field experiments will provide complementary
tracer and meteorological data that can be applied to a rigorous validation and
subsequent improvement of urban flow and dispersion models. The Montreal and
Oklahoma City field studies of flow and dispersion are complementary in the sense
that different types of data will be measured in the two field experiments. In
particular, the surface flux measurements from the MUSE 1 and 2 field studies were
conducted under winter conditions while those from Oklahoma City were obtained in
summer conditions.
The scientific objective of the Oklahoma City field experiment conducted in July
2003 (Joint Urban 2003) was to (1) use state-of-the-art remote sensing instruments
(radar profilers, lidars, sodars) to continuously measure the detailed wind and
turbulence characteristics of the urban atmosphere from the ground through several
kilometres above the ground; (2) collect tracer data at various distances from
specified release points to provide data for validating various urban dispersion
models; and, (3) to conduct urban canyon experiments making high resolution winds
and turbulence measurements together with tracer data to investigate the processes
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that disperse material within the canyon and exchange of material between the canyon
and the overall urban circulation.
On the other hand, the Montreal field study is designed to document the evolution of
the surface characteristics and energy budgets at a location in a dense urban area
under conditions that are typical of Canadian winters (i.e., very cold temperatures
with and without snow). It is noteworthy that the MUSE field studies complement
well with the objectives of a significant proposal to the Canadian Foundation for
Climate and Atmospheric Sciences (CFCAS) which was submitted in early 2006 and
aims to further study boundary layer characteristics in the urban and semi-urban
environments.
As a consequence of the complementary nature of the data sets acquired for enhancing
atmospheric modeling and model validation during the unique field studies in
Montreal and Oklahoma City, there is a natural linkage between these two field
experiments. It is proposed that the tracer and meteorological data be shared between
the two countries. To facilitate this process, the following actions will be undertaken
in Task 1: (a) in the short term, once field data from the Montreal urban field
experiments have been acquired and quality assured/quality controlled (QA/QC), then
the data will be archived and made available to collaborators in the United States and
elsewhere through a password protected web site; (b) in the longer term, these new
field data from the Montreal field experiments will be further analyzed and used to
evaluate and validate computer models being developed under Components 1 to 4.
Conversely, the data sets from Joint Urban 2003 experiment in Oklahoma City will be
made available to Canadian researchers who will use this data for a comprehensive
validation of the flow and dispersion models developed under this project (including
the fully coupled multiscale system that will be available as a prototype in March
2007). Furthermore, these datasets will be used by both US and Canadian teams for
comparative validation of their respective urban flow and dispersion models.
3.1.6.1 Task 2
Task 2 is concerned with development of a general methodology for the determination
of the location and strength of a source of toxic agent from information provided by a
limited number of atmospheric measurements of concentration obtained from a
monitoring network of detectors. This methodology should incorporate naturally a
consideration of the uncertainties (either experimental, or in the physical laws
governing the source-receptor relationship) in the problem and the non-uniqueness in
the solution arising from incomplete and noisy concentration data.
To this end, Task 2 will involve a number of steps: (a) formulation and solution of an
adjoint transport equation with properly defined forcing functions (e.g., detector
response functions) that could be used to evaluate the emission field of toxic agents in
a completely general (complex) urban area which enable a rapid calculation of the
likelihood function; (b) investigation of cost efficient methods (e.g., Markov chain
Monte Carlo methods such as Gibbs sampling, Metropolis-Hastings algorithm, etc.)
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to explore the potentially huge space of solutions implied by the Bayesian inference of
the source and to use this information to provide a comprehensive characterization of
the solution (i.e., of the source parameters); (c) proof-of-concept and validation using
real data sets such as those obtained from Joint Urban 2003 (for urban dispersion) and
from ETEX (European Tracer Experiment) for long-range dispersion. There is also
potential for collaboration with a comprehensive international sensor data fusion
experiment to provide data to test source reconstruction algorithms. This experiment,
proposed under The Technical Cooperation Program, CBD Group, Technical Panel 9
(Hazard Assessment) is planned to take place at US Army Dugway Proving Ground
in September 2007 (subject to approval of funding).
To facilitate development of the Markov Chain Monte-Carlo (MCMC) techniques we
will seek the expertise of Professor Radford Neal of the Department of Statistics at
the University of Toronto.
Professor Neal is an expert in the development of
improved MCMC methods for sampling from the posterior distributions of source
parameters arising from Bayesian inference.
3.1.6
Project Partners
The key Project Partners include:
 Environment Canada (Canadian Meteorological Centre of the
Atmospheric Environment Prediction Directorate and the numerical
weather prediction group of the Atmospheric and Climate Sciences
Directorate)
 Defence R&D Canada – Suffield
 Atomic Energy Canada Limited (AECL)
 Health Canada (Radiation Protection Bureau)
 Waterloo CFD Engineering Consulting Inc.
 J.D. Wilson & Associates
The subsequent section identifies the included work for each Project Partner.
3.1.7
Included Work by Individual Project Partners
Defence R&D Canada -- Suffield
 Will develop two models to predict the mean flow and turbulence in the
urban complex at the microscale (from the building and street scale up to
length scales of about 2 km)
 Model 1 will be a high-resolution Reynolds-averaged Navier-Stokes
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(RANS) model, where buildings and other obstacles in a restricted flow
domain are explicitly resolved
 Model 2 will be a spatially-averaged RANS model where groups of
buildings/obstacles in a more extended flow region are represented in
terms of a distributed drag force
 Will provide ongoing help with project implementation plan
 Will provide guidance and advice on the coupling of the urban
microscale flow models with the “urbanized” mesoscale flow model
 Will be involved in model verification and validation activities
 Will provide access to a high-resolution urban dispersion data set in
Oklahoma City that will be acquired under the Joint Urban Test (JUT)
2003 that is jointly sponsored by the U.S. Department of Energy’s
National Nuclear Security Administration (NNSA)-Chemical and
Biological National Security Program, and the U.S. Department of
Defense – Defense Threat Reduction Agency (DTRA)
-The dispersion data will consist of a sulfur hexafluoride (SF6) tracer
released in Oklahoma City for a 34 day period (June 28, 2003 to July 31,
2003) sampled at 150 to 200 receptor locations in the Central Business
District and various locations in the suburban area
 Terrain and urban effects (e.g., buildings) in Oklahoma city will be
provided as a vectorized (infinite resolution) GIS database for model
testing.
 Will develop methodology for solution to the inverse source
determination problem based on Bayesian inference and will implement
various Monte Carlo sampling schemes required to extract the information
on the source parameters embodied in the posterior distribution. This work
is related to Task 2 to Component 6.
Atomic Energy Canada Limited (AECL)
 Will provide monitoring datasets and expertise in the use of these
datasets for micro/mesoscale flow and dispersion model validation
 Will provide ongoing guidance with the use of the Oklahoma city tracer
data
Waterloo CFD Engineering Consulting Inc. (Dr F.S. Lien)
 Specification of numerical algorithms, grid generation and adaptation,
and flow solvers for the solution of various models of mean flow and
turbulence in an urban environment (in collaboration with DRDC Suffield)
- will adapt the EC-CMC GUI for all coding activities to ensure
consistency of the product from the outset
 Verification and validation of the numerical algorithms/support in the
validation of urban microscale flow models with available data sets (e.g.,
water channel simulations, full-scale experiments, etc.)
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 In collaboration with EC and DRDC Suffield, design coupling schemes
for integration of urban microscale flow model with “urbanized”
mesoscale flow model
 Provide ongoing help with the project implementation plan
Environment Canada – Canadian Meteorological Centre (CMC)
 Project coordination (year 1 through year 4); establish a project charter;
provide Project Review Committee support
 Hire new Research Scientist (RES) specialized in computational fluid
mechanics
 Hire new Post-Doctoral Fellow (PDF) to study the urban canyon effect
and its introduction in the mesoscale model (viz., develop urban
parameterizations in mesoscale model)
 Provide mesoscale model visualization code to all project participants to
allow for the development of a common model visualization platform and
graphical user interface (GUI)
 Inclusion of the urban microscale effects developed by DRDC Suffield
and Waterloo CFD Engineering Consulting Inc. into EC’s mesoscale
meteorological model GEM-GEM LAM (model coupling)
 Integration and application of the Lagrangian Stochastic models
(developed by J.D. Wilson & Associates) for the prediction of urban (and,
atmospheric) dispersion of CBRN agents
 Integration of all individual model components into a prototype
operational system (together with other project participants)
-coupling of micro and meso-gamma scale models
-use the coupled model to apply the Lagrangian Stochastic model to a test
data set of urban flow and dispersion in an actual cityscape (Oklahoma
City) --- Joint Urban Test (JUT) 2003
 Model verification and validation of the “urbanized” GEM-GEM LAM
model (work will include both EC-CMC mesoscale GEM-GEM LAM
meteorological model team members and EC-CMC software engineering
groups)
-validation of the integrated modelling system will consist of application
of the system to the Oklahoma City test case (Joint Urban 2003) case and
to Montreal Urban Snow Experiment (MUSE); will also, QA/QC data
obtained from MUSE and make it available to US collaborators through a
password protected website. This latter work is related to Task 1 of
component 6.
 Conduct information session to present the integrated modeling system
 Facilitate and support closure of project by development, review, and
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submission of the final report
Health Canada (Radiation Protection Bureau)
 Will (along with AECL) provide monitoring datasets and expertise in the
use of these datasets for model validation
 Will provide guidance in the use of the Oklahoma City tracer data
J.D. Wilson & Associates (Dr J.D. Wilson)
 Design and implementation of a multiscale Lagrangian Stochastic (LS)
model for the prediction of urban (and, atmospheric) dispersion of CBRN
agents. A number of well-mixed models for 4D Gaussian turbulence will
be implemented, along with the option of invoking one or more
simplifying assumptions of stationarity, local homogeneity, and absolute
horizontal homogeneity to reduce computational effort. In addition, the
option of computing forward and backward trajectories will be provided.
 Development of suitable data structures with maximum flexibility for
ingestion of driving wind data from flow models
 Verification and validation of the LS model against available data sets
from both laboratory studies (e.g., water channel simulations) and
controlled full-scale experiments (e.g., JUT 2003)
3.1.8
Project Exclusions
The project specifically excludes the development and provision of comprehensive
urban databases of Canadian cities.
3.2 Project Risk Analysis and Risk Management Plan
This section outlines the risk management plan for the project, and lists the major
risks that have been identified to date along with the proposed mitigation strategies
for these risks.
Risk Management Plan
The Project Management Team at Environment Canada in close consultation with all
other partners in this project will maintain a periodically updated Risk Inventory for
the project. This inventory will list all identified risks as the project implementation
proceeds, their possible impact on the successful completion of the project, and
provide recommendations for mitigation of these risks.
Semi-annually, new risks will be added to this Risk Inventory as they arise during the
course of implementation of the project with inputs from all personnel involved in the
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project, along with strategies for their mitigation. A request for risk identification will
be distributed to all the participating partners using a standard risk identification form.
The Project Management Team at Environment Canada will conduct semi-annual
reviews of risks in the Risk Inventory submitted by all the partners, update their
status, close any risks that are no longer relevant, and evaluate and make
recommendations for mitigation for the remaining relevant risks. In addition, any
project modifications that may be required to counter high impact risks will be
submitted as change requests in accordance to the Project Charter.
Primary Project Risks
For all Federal Departments involved in the project
 Risk: A national or international crisis or other immediate events triggering
emergency response will delay the conduct of the project
Mitigation: CRTI secretariat to be advised immediately. Components of the project to
be delivered by private companies will not be affected. Project plan for deliverables
will be modified accordingly, financial impacts will be assessed and the Charter will
be adjusted.
Defence R&D Canada -- Suffield
 Risk: Transfer of mathematical urban flow models to Waterloo CFD Engineering
Consulting Inc. in a format understood by all is problematic
Mitigation: Ongoing communication with project partners at Waterloo CFD
Engineering Consulting Inc. (e-mail, teleconference, and meetings as needed) to
allow for smooth transfer of DRDC Suffield mathematical models to Waterloo for
numerical solution coding --- Modelling Group at DRDC Suffield will collaborate
closely with the CFD Modelling Group at Waterloo to ensure fidelity in the model
transfer and in the implementation of the proposed flow models
 Risk: Delay in obtaining data from the Joint Urban Trial (JUT) 2003
Mitigation: Ensure that all appropriate security clearances are granted
 Risk: IP issues and disputes
Mitigation: Pass information to IP office as soon as possible for resolution
Waterloo CFD Engineering Consulting Inc. (Dr F.S. Lien)
 Risk: Difficulty in the implementation of numerical algorithms to solve the model
equations developed by DRDC Suffield
Mitigation: Close collaboration with DRDC Suffield to ensure that a working
solution is developed. This close collaboration should involve project leads from the
Waterloo CFD Engineering Consulting Inc. (Dr Fue-Sang Lien) and DRDC Suffield
(Dr Eugene Yee) and various members of the project leads’ staff. A productive
working relationship will be maintained through regular teleconferencing,
correspondence, and meetings as required.
Mitigation: Ensure that model approaches developed by DRDC Suffield and
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numerical implementation of these approach by Waterloo CFD Engineering
Consulting Inc. are fully documented.
 Risk: Incompatability of numerical microscale code developed with EC-CMC’s
meso-gamma scale GEM-GEM LAM code
Mitigation: Ongoing communication with EC-CMC GEM-GEM LAM code
developers (meteorological modelers and software engineers)
Mitigation: Access to GEM-GEM LAM Graphical User Interface (GUI) for all
project team members from Waterloo CFD Engineering Consulting Inc.
Mitigation: Access to GEM-GEM LAM documentation and source code
Environment Canada – Canadian Meteorological Centre (CMC)
 Risk: Availability of qualified technical staff to undertake certain phases of the
project.
Mitigation: One Research Scientist (RES) and one Post-doctoral Fellow (PDF) with
the required expertise are in the process of being hired to support work on this
project full time.
 Risk: Availability of staff for Project Management and Coordination
Mitigation: New staff member to aid project manager (Mr Michel Jean) with project
coordination has been hired.
 Risk: Difficulty in the implementation and/or porting of code to the new IBM
massively parallel supercomputing platform (which is currently being brought on-line
at Canadian Meteorological Centre).
Mitigation: New RES to be hired with strong parallel computing background.
Mitigation: Resources have been set aside at CMC to manage this issue.
 Risk: Difficulty in coupling the micro and meso-gamma scale model.
Mitigation: Maintain close on-going collaboration with Waterloo CFD Engineering
Consulting Inc. microscale model development and implementation team.
Mitigation: Provide Waterloo CFD Engineering Consulting Inc. Implementation
Team with full documentation for the GEM-GEM LAM model.
Mitigation: Employment of a common GUI between EC-CMC and Waterloo CFD
Engineering Consulting Inc. (CMC Modeling Toolbox will provide the common
interface).
 Risk: Lack of attention to needs of end users (first responders).
Mitigation: Work with CMC to understand existing emergency response system and
FNEP TAG requirements.
 Risk: Tracer data from Oklahoma test site is delayed.
Mitigation: Consultation with project team members from AECL and HC-RPB who
have extensive experience in model validation.
Mitigation: Additional data from AECL and/or HC-RPB could be used for model
validation in place of the expected comprehensive urban flow and dispersion data
sets to be acquired in JUT 2003.
 Risk: Oklahoma City vector format GIS data not compatible with EC-CMC
software
Unclassified
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Mitigation: Consult with team members from DRDC Suffield and Waterloo CFD
Engineering Consulting Inc.
Mitigation: Ensure that the necessary graphics packages are available at EC-CMC.
Mitigation: Ensure that qualified staff are available to manipulate the vector format
GIS data.
 Risk: Model predictions do not agree with experimental data within acceptable
margins (defined in the literature)
Mitigation: Allow time for model revisions based upon initial testing.
Mitigation: Allow time for a documented discussion of project limitations.
J.D. Wilson & Associates (Dr J.D. Wilson)
 Risk: Delay in the coupling of the micro and meso-gamma scale model to delay
Lagrangian Stochastic (LS) model verification and validation.
Mitigation: Offline model testing with in house data sets until coupled code complete
--- LS model validation (primarily urban dispersion model validation can begin
immediately by coupling model to the urban microscale flow model to investigate
predictive accuracy of the model at short range [up to about 2 km]).
Atomic Energy Canada Limited (AECL)
 Risk: Access to classified information is denied.
Mitigation: Reliance on other team members already having obtained the necessary
security clearance.
 Risk: Access to sensitive measurements at AECL CRL is denied to project
members.
Mitigation: An agreement with the responsible body at AECL describing the use that
project members will make with the data and a review of material to be published by
AECL to eliminate sensitive information
Health Canada (Radiation Protection Bureau)
 Risk: Availability of data sets for verification and validation of the modelling
system.
Mitigation: Preparation of data sets in parallel as modelling system is being
developed. Work is currently underway along those lines through the joint work
between HC RPB and EC CMC for assessment of a noble gas analyzer in the context
of the Comprehensive Nuclear-Test-Ban Treaty.
3.3 Project Assumptions
The Project Plan assumes that:

Funding as approved under the project will remain available and disbursed on
time.
Unclassified
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 Start date of research and development for components 1 and 4 is based on
having a contract in place with PWGSC by August 1, 2003. A delay in
contract award will have a direct affect on start and end dates of these two
research and development activities.

New and qualified personnel will be hired (or the process to be fairly
advanced) by 1 September 2003.

Key existing personnel will be available throughout the project.

Key equipment (computing infrastructure) and key datasets will be available.
3.4 Project Constraints
A significant component of the Validation phase of the project (component 5) is
constrained by the availability of flow and dispersion data sets to be acquired during
JUT 2003 in Oklahoma City.
3.5 Related Projects
CRTI-01-0080TA Information Management and Decision Support
System for R/N. This project, being led by Health Canada (Radiation
Protection Bureau), will result in an operational decision support system that
will facilitate a fast, coordinated response to an RN incident, improved
emergency data management and effective decision making in support of first
responders, the operational community, and the public. It will result in
significant enhancement to RN emergency planning; surveillance and alerting;
inter-operability of FNEP partners (including RN Cluster members);
consequence management; exercises and training; and public information.
One of the components of the project is the availability of limited radar
datasets to overlay with dispersion plume through a GIS based system
(ARGOS system).
CRTI-02-0041RD Real-Time Determination of Area of Influence of
CBRN Releases. The goal of this project is to provide the tools needed to
make these decisions by using state-of-the-art techniques in precipitation
forecasting and precipitation scavenging to develop reliable, real-time
forecasts of the timing, location and amount of deposited CBRN material.
This is a difficult task that involves three key steps: forecasting the trajectory
and concentration of CBRN material in air; forecasting the location, duration
and intensity of precipitation; and calculating the amount of airborne material
deposited on the ground.
Joint Urban Test (JUT) 2003 Atmospheric Dispersion Study in Oklahoma
City. This comprehensive field experiment involving the release of inert
tracers in the urban environment will provide invaluable datasets for assessing
the various elements of the CRTI-02-0093RD project. This activity opens the
Unclassified
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PROJECT CHARTER TEMPLATE
door to a cross comparison of the Canadian GEM model with the US OMEGA
system developed by SAIC under contract for US DOD DTRA.
Research and development work on the Canadian Numerical Weather
Prediction Modelling System. A team of over 30 research scientists, applied
scientists and computer scientists are working with meteorologists to
continuously improve the global and regional data assimilation and numerical
weather prediction modelling systems which constitute one of the cornerstones
of the Atmospheric Environment Prediction Program.
Research and development work and subsequent evaluation of forward and
inverse methods applied to radioactive tracers conducted by the
Environmental Emergency Response division of EC CMC and HC RPB for
possible application by the Canadian National Authority to the Comprehensive
Nuclear-Test-Ban Treaty.
Other related CRTI projects:
CRTI-04-0127TD CHIRP – Canadian Health Integrated Response
Platform. This new project which started and the end of 2004 is a direct
follow-up to the project CRTI-01-0080TA (ARGOS system) and aims to
integrate ARGOS with Health Canada’s CNPHI system. Improvements made
to dispersion modeling tools at CMC will benefit directly the ARGOS system
because of the high level of integration.
CRTI-03-0018RD Experimental Characterization of Risk for
Radiological Dispersion Devices (RDDs). Some of the capabilities
developed at CMC in the context of the current project will be used to provide
small scale dispersion modeling in the context of the validation of various
outdoor explosive (RDD) testing.
CRTI-05-0014RTD Experimental and Theoretical Development of a
Resuspension Database to Assist Decision Makers during an RDD Event.
This project links directly with the one studying the RDDs (03-0018RD).
Here again, capabilities developed at CMC in the context of the current
project will be used to include the characterisation of the resuspension of
nuclear material within atmospheric dispersion models.
CRTI-05-0058TD Unified Interoperability Solution set to Support
CONOPS Framework Development -Municipal-Provincial-Federal
Collaboration to CBRN Response. This project aims to provide a
coordinated framework to response to CBRN events and will use the result of
the work of this current project to illustrate simulations of CBRN dispersion in
the complex urban environments.
Unclassified
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3.6 Project Termination
The Secretariat Director, in consultation with the Project Champion, will make
recommendations regarding the termination of a project to the Steering Committee,
whose decision will be final.
Conditions that may lead to termination could include:




Deliverables / Milestones not met.
Forecast inability to deliver (i.e. key personnel have left the department or
project).
Failure of a contractor to meet obligations.
Change in CRTI investment priorities.
3.7 Level of Classification
No Classified Information or Material will be exchanged under this Project Charter
for contracts generated and model development and integration phases. All data sets
acquired during JUT 2003 (Oklahoma City) will be considered unclassified.
3.8 Duration and Withdrawal
This Project Charter will remain in effect for a period of forty-eight (48) months from
initial approval and transfer of funding. Notwithstanding this duration, it will
terminate no later than the date of termination of the MOU.
A Participant may withdraw from this Project Charter on presentation of ninety (90)
day’s written notice to the other Participant(s), with written mutual consent of the
participant(s) and approved by the CRTI Steering Committee.
4. RESOURCES
4.1 Project Management:
Mr M. Jean (EC-CMC) has serve as Project Manager until June 2005. He was
replaced then by Mr. Richard Hogue who is is the Chief of the Environmental
Emergency Response at EC-CMC and has extensive experience in NWP and with the
technology transfer processes from research to operations. Mr. R. D’Amours (ECCMC) will serve as Deputy Project Manager and is a senior meteorologist at ECCMC with broad expertise in dispersion modelling at various spatial/temporal scales.
4.2 Technical Team
Dr. E. Yee (DRDC Suffield) has over 15 years of experience in R&D focussed on CB
agents, much of which has been in the advancement of the state-of-the-art in
modeling flow and dispersion in the atmosphere.
Unclassified
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PROJECT CHARTER TEMPLATE
Dr F.S. Lien (Waterloo CFD Engineering Consulting Inc) has over 15 years
experience in R&D in computational fluid modelling of complex engineering and
industrial flows.
Dr P. Davis (AECL) has over 25 years experience in meteorological aspects of
emergency response including model validation and uncertainty.
Dr J.D. Wilson has nearly 25 years experience in the development of disturbed
micrometeorological flows (especially wind break flows) and Lagrangian Stochastic
(LS) models for prediction of dispersion in environmental flow of various complexity,
including experience in the development of LS models for emergency response
situations.
Dr K. Ungar (HC-Radiation Protection Bureau) has over 15 years experience in the
design of field experiments for rapid response to a nuclear incidents or accidents.
4.3 Budget
4.3.1 Total Funds and Cash Phasing
Total of the funds to be expended during this Project are $3,828,000, and will be
administered by the Lead Federal Department or Agency (Environment Canada).
These funds are allocated as defined in subsequent sections. The cash phasing for the
project is estimated in Table 1 below.
Table 1: Total Costs/Cash Phasing
Project Phase
Fiscal Year
Definition (CRTI
Funds)
03/04
Amount (in $FY)
04/05
05/06
06/07
Execution (CRTI
Funds)
03/04
541,000
04/05
961,000
05/06
1,157,000
06/07
1,036,000
07/08
133,000
Total
Project Phase
Unclassified
3,828,000
Fiscal Year
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PROJECT CHARTER TEMPLATE
Definition (In kind
Funds)
Execution (In kind
Funds)
03/04
708,792
04/05
1,016,772
05/06
1,018,960
06/07
828,000
07/08
130,000
4.2.2 Cost Breakdown by Partner
The project budget estimate by partner is summarized in the Table 2 below. The
costs for each partner are indicated and shows the total of the CRTI funds and inkind contributions per fiscal year. Each estimate includes all associated labour,
materials, and traveling and living costs.
March 2006 charter revision reflects the requirements for funding the additional
work related to PSTP activities ($210K) as well the use of rolled over funds from
2003-04 and 2004-05 ($103K) to meet increase in resources to complete the
project.
Table 2: Cost Breakdown by Partner
Participant
Lead Federal Department:
Environment Canada
(CMC and ACSD)
DND DRDC
Suffield
AECL
Unclassified
Fiscal Year
Amount (in $FY)
In-kind Contribution
03/04
300,000
645,000
04/05
620,000
895,000
05/06
796,000
895,000
06/07
595,000
700,000
07/08
68,000
70,000
03/04
230,000
55,792
04/05
330,000
113,772
05/06
350,000
115,960
06/07
430,000
90,000
07/08
65,000
60,000
03/04
11,000
8,000
04/05
11,000
8,000
05/06
11,000
8,000
06/07
11,000
8,000
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PROJECT CHARTER TEMPLATE
03/04
0
30,000
04/05
0
30,000
05/06
0
30,000
06/07
0
30,000
Waterloo CFD
Engineering Consulting
Inc. (amounts have been
folded under DRDC
Suffield: 130K, 215K,
235K, 235K)
03/04
0
0
04/05
0
0
05/06
0
0
06/07
0
0
J.D. Wilson &
Associates (amounts
have been folded under
Environment Canada
numbers: 35K, 35K,
85K, 100K)
03/04
0
0
04/05
0
0
05/06
0
0
06/07
0
0
3,828,000
3,792,524
Health Canada RPB
Total
All
4.2 Schedule
A high level schedule is provided in the Table 3 below, with more details
provided in Table 4 below.
Table 3: Major Milestone Schedule
Milestone
Event
Completion Date
1
Project Approval
2003 April
2
Project Charter Approved
2003 July
3
RFP Release
2003 August
4
Contract Award
2003 September
5
Hire EC-CMC RES
2003 November
6
Hire EC-CMC PDF
2003 November
7
Development and implementation of
high-resolution microscale urban flow
model
2004 October
Unclassified
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Prediction and Assessment for the Urban Environment)
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8
Development and implementation of
microscale urban flow model using
distributed drag force approach for
prediction of spatially-averaged time
mean wind and turbulence
2005 June
9
Development, implementation, and
coupling of microscale Lagrangian
Stochastic model with urban
microscale flow model for prediction
of short-range dispersion
2005 June
10
Development and implementation of
urban parameterizations for
mesoscale model (GEM-GEM LAM)
2005 June
11
Coupling of urban microscale flow
models with “urbanized” mesoscale
flow model
2006 November
12
Development and implementation of
multiscale Lagrangian Stochastic
model prediction of atmospheric (and,
urban) dispersion at all ranges
2006 October
13
Full integration of multiscale
Lagrangian Stochastic model with
coupled urban microscale and
“urbanized” mesoscale model
2006 December
14
QA/QC data from Montreal Urban
Snow Experiments (MUSE), and
make data available to US
collaborators through password
protected website
2007 March
15
Development of adjoint of Eulerian
and Lagrangian dispersion models
required for rapid computation of
likelihood function
2006 December
16
Verification and Validation of fully
integrated flow and dispersion
modelling system
2007 March
Unclassified
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PROJECT CHARTER TEMPLATE
17
Development of inverse source
determination methodology based on
Bayesian inference, and
implementation of Monte Carlo
sampling schemes required to extract
information from posterior
distribution of source parameters
2007 June
18
Verification and validation of inverse
source determination methodology
using available concentration data
sets (e.g., JU2003, ETEX, Project
Prairie Grass, Sensor data fusion
experiment at Dugway Proving
Grounds, etc.).
2008 March
19
Project Complete (Close Project)
2008 April
Table 4: Detailed Tasks Schedule
ID
1
T1
T2
T3
T4
Task Description
Start Date End Date
Component 1:
Development/implementation of high-resolution urban flow
model with explicit resolution of buildings/obstacles
- model specification/development
- design/specification of numerical algorithms,
grid generation, flow solvers
- software design/implementation of highresolution urban flow model (preliminary
testing and verification of software)
Enhancements to urban microscale model to allow more scales of the flow
turbulence to be simulated for an improve prediction of turbulence energy.
Also, various improvements to computational efficiency of the model.
2
Development/implementation of urban flow model
(microscale) for prediction of spatially averaged time
mean wind and turbulence (distributed drag force
approach)
T5
- model specification/development of
source/sink terms in flow equations
T6
- software design/implementation (preliminary
testing, verification of software)
T7 Optimization, parallelization, I/O, visualisation issues
Unclassified
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1-Nov-03 1-March-07
1-Nov-03 31-Mar-04
1-Jan-04
30-Apr-04
1-Mar-04
31-Oct-04
1-Sept-05 1-March-07
1-Apr-05
1-Nov-06
1-Apr-04 31-Dec-04
1-Nov-04
30-Jun-05
1-March-06
1-Nov-06
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
3
T6
T7
T8
T9
T10
T11
T12
Component 2:
Development/implementation of urban parameterizations
for mesoscale model (GEM-GEM LAM)
- development of physical parameterization for urban effects
(R&D work on surface exchange parameterization)
- implementation of urban parameterization in mesoscale
model (GEM-GEM LAM)
Urban classification using vectorial approach
Anthropogenic fluxes methodology and databases for OKC and Montreal
(including validation with Quebec Region data)
Turbulence 3D in GEM
Analysis of energy budget using MUSE dataset and validation
- testing/verification of implementation
Component 3:
4
Coupling of urban microscale flow models with "urbanized"
mesoscale flow model
T13
- investigate methods of coupling one-way/two-way interactions
between grid systems used for microscale and mesoscale
flow models
T14
- implementation of coupling (communication) schemes for
code harmonization (test and verify coupled system)
T15
- GUI Toolbox Development (GUI for integrated multiscale model)
5
T16
T17
T18
T19
T20
6
T21
T22
T23
T24
7
Component 4
Development of multiscale Lagrangian Stochastic Model for urban
dispersion
- develop/implement well mixed LS model for urban dispersion
predictions on microscale
- couple microscale LS model with urban microscale flow model
for prediction of dispersion on small scales
- extend well mixed LS model for predictions of urban dispersion
on the mesoscale
- couple multiscale LS model of urban dispersion with the
multiscale flow model developed under component (test and
verify LS model coupled to flow model)
Adaptation of UrbanLS outputs to standard files, concentration fields,
visualisation of particules.
Component 5
Verification and validation of whole modeling system (flow and
dispersion)
- acquisition of available databases for model validation effort
- development of validation methodology
- validation of coupled microscale/mesoscale flow model
- validation of coupled Lagrangian Stochastic model
Component 6
Urban flow and dispersion modeling using atmospheric tracer and
meteorological field studies in Montreal (Montreal Urban Snow Experiment)
Unclassified
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1-Nov-03 30-Dec-06
1-Nov-03
31-Oct-04
1-Nov-04
30-Apr-05
1-Feb-06 30-Oct-06
1-Nov-05 30-Nov-06
1-Sep-05 1-Nov-06
1-May-06 30-Dec-06
1-May-05 30-Dec-06
1-Jul-05 30-Dec-06
1-Jul-05 31-June-06
1-Jan-06
31-Oct-06
1-April-06 30-Dec-06
1-Nov-04
30-Oct-06
1-Nov-03
31-Oct-04
1-Oct-04
30-Jun-05
1-May-05 30-Sep-05
1-Oct-05 30-Sep-06
1-May-06
30-Oct-06
1-Jul-06 31-Mar-07
1-Jul-06
1-Jul-06
1-Sep-06
1-Sep-06
31-Aug-06
31-Aug-06
31-Mar-07
31-Mar-07
1 Jan-05 31 Mar-07
2016-02-16
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
T25
T26
- Conduct Montreal urban snow experiments [MUSE] (part 1 and 2)
1 Jan-05
- QA/QC data acquired during MUSE, and make data available to US
1 Apr-06
collaborators through password protected website
T27
- Prepare MUSE datasets for validation of surface energy budgets in
1 Apr-06
“urbanized” GEM/LAM
8
Determination of the source characteristics given a limited number of noisy 1 –June-05
concentration measurements obtained from a network of detectors/sensors.
T28
- Formulation and implementation of adjoints of Eulerian (urbanEU) and
31 Mar-06
31 Mar-07
31 Oct-06
31 Mar-08
1 Jun-05 31 Mar-07
Lagrangian (urbanLS) urban dispersion models required for rapid
computation of likelihood function
T29
- Development and implementation of inverse source determination
scheme based on Bayesian inference, with sampling from posterior
distribution undertaken using Markov chain Monte Carlo
1 Apr-06 31 Mar-07
T30
- Test inverse source methodology against available concentration data
sets (e.g., Project Prairie Grass, ETEX, JU2003, etc.)
1 Apr-07 31 Dec-07
T31
- Incorporate inverse source methodology into prototype urban
modelling framework (CMCToolbox)
1 Jun-07 31 Mar-08
T30
- Test inverse source methodology against available concentration data
sets (e.g., Project Prairie Grass, ETEX, JU2003, etc.)
1 Apr-07 31 Dec-07
4.3 Personnel
Table 4 outlines the staffing requirements for each partner in hours, and a total
number of person year requirements for the entire project (based on 37.5 X 52
weeks = 1950 hours/year)
Table 4: Partner Staffing Requirements
In the table below the white area is the staff paid by CRTI funds and the shaded
area is the staff paid with in-kind funds.
Project Partners
FY
03/0
4
Environment Canada
2.0
DRDC Suffield
0.15
Health Canada
0
FY
04/0
5
1.0
FY
05/0
6
FY
06/0
7
4.0
1.0
6.0
1.0
3.0
1.0
2.0
0.45
2.0
0.45
2.0
0.45
2.0
0.2
0
0.2
0
0.2
0
0.2
J.D. Wilson & Associates
1.0
0
1.0
0
2.0
0
2.0
0
Waterloo CFD Engineering
Consulting Inc.
3.0
0
3.0
0
3.0
0
3.0
0
0.15
0
0.15
0
0.15
0
0.15
0
AECL
Unclassified
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PROJECT CHARTER TEMPLATE
4.4 Facilities
The Canadian Meteorological Centre is the core of the Meteorological Service of
Canada both in terms of supercomputing capabilities, telecommunications and
numerical models development. The CMC is typical of a supercomputer
infrastructure where the mission is to support weather forecasting operations, and
research into weather and climate. A multi-tiered networking topology is used to
closely couple the varied equipment. A high-speed network is used to connect the
supercomputers, robotic archive system, and three front-end servers. This highspeed network called High Performance Parallel Interface (HIPPI) is required to
transfer operational data in a timely manner. Rated at 100MB/s, it is the fastest
proven networking connection available today. A second tier uses Fibre
Distributed Data Interface (FDDI) to connect the front-end servers to departmental
servers and high-end workstations. Finally, ethernet is used to connect the
workstations, X-terminals, personal computers and printers to departmental
servers.
The highly specialized support to environmental emergencies is provided in
support to the Federal Nuclear Emergency Plan, led by Health Canada. This
service is based on specialised expertise using numerical modeling tools,
integrated with global numerical prediction model outputs of the CMC, that track
the movement of airborne radioactivity and tracers around the globe. For example,
operational services are provided to track the movement of airborne volcanic ash
to assist in aircraft operations.
Access to quantitative information regarding plumes released from the NRU
reactor at Chalk River is required in the latter part of the project to validate the
various systems in the 50-200 km range.
The Canadian Radiological Monitoring Network (CRMN), managed by HC-RPB,
is a national network that routinely collects air, precipitation and external dose
measurements at 26 locations. The data set required to test the deposition models
is the measurement of naturally occurring radionuclides in air and precipitation
samples at selected network locations. These samples are prepared and measured
at the laboratory facilities at RPB, which contain 3 state-of-the-art automated
gamma and beta detection system. The detection system also operates a number of
NaI detectors along the Ottawa River valley along with a high-resolution noble
gas sampler at the RPB facility.
5 ORGANIZATIONAL STRUCTURE AND RELATIONSHIPS
5.1 Project Review Committee
Unclassified
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PROJECT CHARTER TEMPLATE
The PRC will convene annually and will review project progress in accordance
with project performance criteria specified in the CRTI Project Implementation
Plan.
The PRC for the project consists of:
Name
Title
Phone Number
Fax Number
Project Champion (Chair)
Dr. Michel
Béland
Director General,
Atmospheric Science
and Technology
Directorate
Environment Canada
(514) 421-4771
(514) 421-2106
Core Members
Project Manager
Mr. Richard Hogue Chief,
Environmental
Emergency
Response, Canadian
Meteorological
Centre
(514) 421-4614
(514) 421-4679
Portfolio Manager
Mr. Ted Sykes
CRTI Portfolio
Manager, R/N
(613) 995-6090
(613) 995-0002
Management Representative(s) (Partner)
Mr. Michel Jean
Unclassified
Director,
Operations
Branch, Canadian
Meteorological
Centre
Environment
Canada
Meteorological
Services of
Canada
(514) 421-4620
Page 25
(514) 421-4679
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PROJECT CHARTER TEMPLATE
Dr Keith Puckett
Director, Air
Quality Research
Branch
Environment
Canada
Meteorological
Services of
Canada
(416) 739-4836
Dr. Gilbert Brunet
Director,
Meteorological
Research Branch
Environment
Canada
Meteorological
Services of
Canada
(514) 421-4617
(514) 421-2106
Dr Kent Harding
Chief Scientist,
DRDC Suffield
(403) 544-4627
(403)544-3388
Dr. Ken Dormuth
Director of the
Environmental
and Radiological
Sciences Division
at CRL AECL
613-584-8811
x3442
613-584-4200
Dr Jack Cornett
Director, Radiation
Protection Bureau
Health Canada
613-954-6647
613-952-9071
(514) 421-4684
(514) 421-4679
Associate Members
Deputy PM
Mr. Réal D’Amours
Senior Scientist,
Environmental
Emergency
Response, Canadian
Meteorological
Centre
Partner
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
Mrs Véronique
Bouchet
Dr. Martin Charron
Dr Eugene Yee
Chief, Air Quality
Modelling
Applications,
Canadian
Meteorological
Centre,
Environment
Canada
Chief, Numerical
Weather
Prediction
Division,
Environment
Canada
Meteorological
Research Branch
Research Scientist,
DRDC Suffield
514-421-5020
514-421-4679
(514) 421-7209
(514) 421-2106
403-544-4605
613-584-8811 xt
3294
403-544-3388
Dr Phil Davis
Principal Scientist,
Environmental
Technologies
Branch, AECL
613-584-1221
Dr Kurt Ungar
Head, CTBT
Section, Health
Canada, Radiation
Protection Bureau
(613) 954-6675
(613) 957-1089
Dr F.S. Lien
CFD Chief
Research Scientist,
Waterloo CFD
Engineering
Consulting Inc.
(519) 888-4567 xt
6528
(519) 725-5946
Dr John D. Wilson
Chief Research
Scientist, J.D.
Wilson &
Associates
(780) 492-0353
5.2 Project Organization
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
Dr Michel Béland
EC/MSC
E
Mr. Ted Sykes
CRTI portfolio
Mr. Richard Hogue
EC/MSC
Mr. Réal D’Amours
EC-MSC
Procurement lead
Ms Colette Labonne
PWGSC Representative
Al Thoren
Dr. Eugene Yee
DRDC-Suffield
Mr. Pierre Pellerin
EC/MSC
Dr. John Wilson
J.D. Wilson&Associates
Dr. Phil Davis
AECL
Dr. Fue Sang Lien
Waterloo CFD Engineering
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
5.3 Project Organization Responsibilities
The responsibilities for each of the key positions are described at Annex A2. The
key members of the Project Organization are as follows:
Position
Project Role
Project
Champion
Portfolio
Manager
Project
Manager
PWGSC
Representative
Name
Title
Director General,
Atmospheric Science
and Technology
Directorate
Environment Canada
Dr Michel
Béland
Mr Ted Sykes
Mr Richard
Hogue
Mr Al Toren
Phone
Number
(514) 421-4771
CRTI Portfolio
Manager, R/N
(613) 995-6090
Chief,
Environmental
Emergency
Response, Canadian
Meteorological
Centre
(514) 421-4614
Manager, Supply
Client Service
Portfolios,
Operations Branch
819-956-1666
Senior Scientist,
Environmental
Emergency
Response, Canadian
Meteorological
Centre
(514) 421-4684
Deputy PM
Mr Réal
D’Amours
Procurement
Lead
Ms Colette
Labonne
Partner
Dr Eugene Yee
Research Scientist,
Defense R&D
Canada -- Suffield
Partner
Dr Fue-Sang
Lien
CFD Chief Research (519) 888-4567
Scientist, Waterloo
x6528
CFD Engineering
Consulting Inc.
Unclassified
(514) 421-4606
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
Position
Name
Title
Phone
Number
Partner
Mr Pierre
Pellerin
Chief, Numerical
Weather Prediction
Division,
Environment
Canada,
Meteorological
Research Branch
(514) 421-4617
Partner
Dr John Wilson
Chief Research
Scientist, J.D.
Wilson &
Associates
(780) 492-5406
Partner
Dr Phil Davis
Principle Scientist,
Environmental
Technologies
Branch AECL
613-584-8811
x3294
Partner
Dr Kurt Ungar
Head, CTBT
Section, Health
Canada, Radiation
Protection Bureau
(613) 954-6675
Advisory Role
Dr Janusz
Pudykiewicz
Research Scientist,
(514) 421-4744
Air Quality
Modelling and
Integration Division,
Environment
Canada, Air Quality
Research Branch
The project organization structure is exhibited in the flow chart in Section 5.2. The key
elements of the team shown in this organization structure include:
1. Project Champion: Dr. Michel Béland, EC (ACSD), has over 30 years of
experience with the Meteorological Service of Canada as a research scientist, a
research manager, and a senior executive. He spent a few years as Chief Executive
Officer in a public-private-academic venture called the Centre de Recherche en
Calculs Appliqués (CERCA) affiliated with Université de Montréal.
Unclassified
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Prediction and Assessment for the Urban Environment)
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2. Portfolio Manager: Mr. Ted Sykes, CRTI R/N has over twenty-seven years with
the Department of National Defence. He has extensive experience in the area of
project management, capital procurement, systems engineering and R&D projects.
Ted will be a member of the project team assigned by the CRTI Secretariat to
assist the Project Manager in CRTI related aspects of the initiative.
3. Project Manager: Mr. Richard Hogue, EC (CMC) is Chief of Environmental
Emergency response at EC-CMC and has extensive experience in NWP and with
the technology transfer processes from research to operations. Richard will be
responsible for the definition and overall management of the work for the project,
and will ensure the necessary liaison with the user (first-responder) community.
4. Deputy Project Manager: Mr. R. D’Amours (EC-CMC) is a senior meteorologist
at EC-CMC with broad expertise in dispersion modelling at various
spatial/temporal scales.
5. DRDC Suffield: Dr Eugene Yee has over 15 years of experience in R&D focussed
on CB warfare agents, much of which has been in the advancement of the state-ofthe-art in modeling flow and dispersion of these agents in the atmosphere. Eugene
will primarily be responsible for mathematical development of urban flow models
at the microscale, and provide the necessary liason with JUT 2003 experimental
team to acquire full-scale urban flow and dispersion data for Oklahoma City (the
latter of which is required for the validation of the multiscale urban flow and
dispersion model).
6. Waterloo CFD Engineering Consulting Inc.: Dr F.S. Lien has over 15 years
experience in R&D in computational fluid modelling of complex engineering and
industrial flows. He will be responsible primarily for the design of numerical
algorithms (e.g., flow solvers, grid generation routines, parallelization of codes
etc.) for implementation of the urban flow microscale models, and for design of
coupling schemes between the urban microscale flow model and the “urbanized”
mesoscale flow model (GEM-GEM LAM).
7. J.D. Wilson & Associates: Dr J.D. Wilson has nearly 25 years experience in the
development of disturbed micrometeorological flow models (especially for wind
breaks) and Lagrangian Stochastic (LS) models for prediction of dispersion in
environmental flow of various complexity, including experience in the
development of LS models for emergency situations. He will be responsible
primarily for the design and implementation of LS models for prediction of urban
dispersion on the microscale and mesoscale, and for the coupling of these models
to the urban flow models.
8. Environment Canada Meteorological Research Branch: Dr Gilbert Brunet has
over 15 years experience in numerical modelling of atmospheric flow on various
spatial and temporal scales. He has been involved in the Middle Atmosphere
Initiative whose aim is to develop a stratospheric component to the Canadian
numerical weather prediction system. He has developed an original method of
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
blending predictions from various numerical methods in application of the
Canadian Seasonal Forecasting system. He now leads a team of research
scientists, computer scientists, and meteorologists dedicated to R&D in the field
of multi-scale numerical weather prediction systems.
9. Environment Canada Air Quality Research Branch: Dr Janusz Pudykiewicz has
over 20 years of experience in fundamental and applied research in the transport
and dispersion of pollutants in the atmosphere and will be involved as a scientific
advisor to the project. Dr Pudykiewicz’s work gained world recognition when he
was able to predict in real-time the global transport of radionuclides from the
Chernobyl reactor accident in April 1986. This long-range atmospheric transport
and dispersion model is now called CANERM: CANadian Emergency Response
Model.
10. Health Canada (RPB): Dr. K. Ungar has over 15 years experience in the design of
field experiments for rapid response to a nuclear incident or accident. He will
provide monitoring datasets (radiological tracer) that will be used to validate the
multiscale urban flow and dispersion model at the longer ranges.
11. Atomic Energy Canada Ltd: Dr. P. Davis (AECL) has over 25 years experience in
meteorological aspects of emergency response including model validation and
uncertainty. He will provide advice and guidance on interpretation and utilization
of radiological tracer data sets for model validation.
5.4 Project Interfaces
The interface (POC) for CRTI-01-0080TA Information Management and Decision
Support System for R/N is Mr Brian Ahier (Head, Technical Assessment
Coordination Section 2nd Floor, Room 209C, Radiation Protection Building 775
Brookfield, Ottawa, Ontario)
The interface (POC) for CRTI-02-0041RD Real-Time Determination of Area of
Influence of CBRN Releases is Ms Sonia Johnson (Head, National Monitoring
Radiation Protection Bureau, Health Canada, 775 Brookfield Rd, Ottawa, Ontario)
The interface (POC) for the numerical weather prediction R&D work is Mr. Pierre
Pellerin (chief, NWP division, Environment Canada Meteorological Research
Branch).
The interface (POC) for the atmospheric transport and dispersion development and
operational work (including CTBT applications) is Mr Richard Hogue (Chief,
Environmental Emergency Response Division, Canadian Meteorological Centre,
Environment Canada)
The interface (POC) for CRTI-04-0127TD CHIRP – Canadian Health Integrated
Response Platform is Mr. Éric Pellerin, A/Head, Technical Assessment Coordination
Section, Nuclear Emergency Preparedness and Response Division, Radioprotection
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
Bureau, Health Canada 2nd Floor, Room 209E, Radiation Protection Building , 775
Brookfield Rd. Ottawa, Ontario.
The interface (POC) for CRTI-05-0058TD Unified Interoperability Solution set to
Support CONOPS Framework Development -Municipal-Provincial-Federal
Collaboration to CBRN Response is Dan Mallett, Greenley and Associates Inc, 2001135 Innovation Drive, Ottawa Ontario
6. CONTRACTUAL ARRANGEMENTS (IF REQUIRED)
Dr F.S. Lien (Waterloo CFD Engineering Consulting Inc.) and Dr J.D. Wilson (J.D.
Wilson & Associates) will be contracted either by Environment Canada (CMC) or DRDC
Suffield through PWGSC to provide expertise and support on various components of the
project.
7. SPECIAL PROVISIONS
7.1
Intellectual Property Management Plan
The intellectual property (IP) of the participants and new IP developed during the
project will be managed according to the principles defined in the CRTI guidebook.
All parties have agreed to provide the right of use for specific background IP required
for this project. All project team members have agreed to freely share information
among the team.
Background IP components are broken down as follows, and the organizations that
own this IP will continue to retain all IP Rights to it. Specifically, background IP
related to the mathematical and numerical modelling of mean flow and turbulence in
the urban complex at the microscale will be retained by DRDC Suffield and
Waterloo CFD Engineering Consulting Inc. Background IP pertaining to the
mesoscale model GEM-GEM LAM will be retained by Environment Canada
(Canadian Meteorological Centre).
It is the intention of the Partners of the Project Charter that EC-CMC retain ownership
of the foreground IP generated in the design and implementation of the multiscale
modeling system. However, components of the system will be completely accessible
to the collaborating partners that would exclude commercial exploitation, providing
that national security is not breached. All project team members and their
organizations may use IP developed by the project team within their own
organization.
7.2
Disclosure and Use of Information
The design, implementation, and validation of the multiscale flow and dispersion
modeling system developed in this project is unclassified. This information can be
made available to the general public, and it is anticipated that much of this
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
information will be published in refereed journals, and presented at various scientific
conferences.
7.3
Other (as required)
None identified.
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
8 EFFECTIVE DATE AND SIGNATURE
This Project Charter will enter into effect on the date of the last signature
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
For Environment Canada
________________________________________________________________________
Dr. Michel Béland
July 2006
Project Champion
Director General, Atmospheric Science and Technology Directorate
Environment Canada
________________________________________________________________________
Mrs Angèle Simard
July 2006
A/Director General, Weather and Environmental Operations Directorate
Environment Canada
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
For the Department of National Defence DRDC Suffield
________________________________________________________________________
Dr Kent Harding
July 2006
Chief Scientist, DRDC Suffield
Department of National Defence
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
For Health Canada
________________________________________________________________________
Dr Jack Cornett
July 2006
Director, Radiation Protection Bureau
Health Canada
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
For Atomic Energy Canada Limited (Chalk River Laboratory)
________________________________________________________________________
Dr. Ken Dormuth
July 2006
Director of the Environmental and Radiological Sciences Division at CRL
Atomic Energy Canada Limited
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
For J.D. Wilson & Associates
________________________________________________________________________
Dr John Wilson
July 2006
Chief Research Scientist
J.D. Wilson & Associates
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
For Waterloo CFD Engineering Consulting Inc
________________________________________________________________________
Dr Fue-Sang Lien
July 2006
CFD Chief Research Scientist
Waterloo CFD Engineering Consulting Inc.
Unclassified
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Prediction and Assessment for the Urban Environment)
PROJECT CHARTER TEMPLATE
For the CRTI Secretariat
_____________________________________________________________________________________
July 2006
Director,
CRTI
Unclassified
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APPENDIX A
TO PROJECT CHARTER
(Project title)
A. PROJECT ORGANIZATION RESPONSIBILITIES
The responsibilities for each of the key positions are described at Annex A. The key
members of the Project Team are as follows:
A.1 Project Review Committee
A.1.1.1.1
Responsible For:
a. providing oversight of the project;
b. advising the Project Champion on the management of the project from
planning through to implementation;
c. considering and recommending options presented by the project team;
d. providing approval of changes to project objectives;
e. providing approval of changes to project schedule;
f. providing approval of changes to project cash profile;
g. resolving differences between project team members;
h. recommending changes in the project's CRTI allocation to the Steering
Committee for approval;
i. ensuring that contingency funds are used for activities within the scope of the
project and are expended only as a result of "unforecast events" beyond the
project staff’s control which make it impossible to get the deliverables for the
originally estimated price;
j. monitoring and reviewing project progress, including issues of finance,
personnel, and contracting;
k. reviewing project approval documentation, i.e., the Synopsis Sheet, Project
Charter, and Technology Demonstration Project Implementation Plan;
l. ensuring that projects linked to the {title} project are aware of {project title}
progress, findings and recommendations;
m. providing guidance in the development of the Transition Plan;
n. ensuring that the project team complies with the policies and procedures
imposed by higher authority;
o. addressing other exceptional circumstances that cannot be resolved by the
Project Team; and
p. establishing a cohesive CRTI position for any forum involving other
government departments.
A1/4
Insert Document Version and Date}
APPENDIX A
TO PROJECT CHARTER
(Project title)
A.2 Project Champion
The Project Champion will be accountable to the CRTI Steering Committee. The
project’s lead participant will typically appoint this person. The Project Champion
will typically be a science manager at the Director General or Director level.
Responsible For:
a. ensuring the project meets its objectives within schedule and budget;
b. chairing the Project Review Committee and overseeing the execution of the
project;
c. ensuring conflicts between project participants are resolved in cognizance of a
project’s objectives and constraints;
d. controlling the expenditure of contingency funds and ensuring that such
expenditure is consistent with the approved scope of the project and is reviewed
by the SRB;
e. ensuring that progress is made towards the approved objectives according to plan,
and that corrective action is taken whenever necessary;
f.
ensuring that an appropriate degree of authority is delegated to the Project
Manager consistent with good management practices and in keeping with
Departmental Policy;
g. ensuring that the Project Manager plans, organizes and co-ordinates all of the
assigned activities in accordance with approved Departmental direction and
established functional organization procedures;
h. ensuring compliance with appropriate management practices, consistent with the
methods and procedures for the management of projects in {department}; and
i.
ensuring the early and continued participation of any third party whose mission or
interest may affect or be affected by a project.
A.3 Portfolio Manager
The CRTI will appoint the Portfolio Manager to each project.
Responsible For:
a. assisting the Project Manager in the preparation and obtaining approval of project
approval documentation, i.e. , the synopsis sheet, Project Charter, etc.;
b. identifying the stakeholder participation consistent with program expectations;
c. in consultation with the Project Manager, resolving conflicts between aspects of
the requirements;
d. reviewing the implementation documentation and participating in meetings to
ensure the objectives of the project are met;
A2/4
Insert Document Version and Date}
APPENDIX A
TO PROJECT CHARTER
(Project title)
e. advising the Project Review Committee of any significant developments, which
may affect the project in meeting its objectives and on what corrective action has
been or should be taken.
f. establishing or validating the scientific and technological objectives of the project;
and
g. ensuring, where applicable, that the system design meets the project objectives.
A.4 Project Manager
The Project Manager will be appointed by the project's lead participant.
Responsible For:
a. assisting the Portfolio Manager in the generation of project approval
documentation;
b. managing and administering the activities of the project team;
c. coordinating all requests for implementation support from {Department}
functional organisations;
d. coordinating functional organisation inputs and preparing required
implementation documentation;
e. in consultation with the Portfolio Manager, resolving conflicts between aspects
of the requirement by assigning priorities;
f. ensuring problems and differences are resolved at the lowest possible level;
g. advising the Project Champion and Project Review Committee of any significant
developments which may affect the project in meeting its objectives and
identifying what corrective actions have been taken or should be taken; and
h. ensuring that all approved project objectives are met, within the assigned
resources.
A.5 Deputy Project Manager
A Deputy Project Manager may be assigned to the team if the Project Manager
responsibilities are too great for one person or who may have other significant
matrix or project duties. A Deputy Project Manager may also be assigned to
project resources if the geographical dispersion of the project team is such that a
Deputy Project Manager presence is required permanently at a site other than that
where the Project Manager is located. The Deputy Project Manager is responsible
to the Project Manager and will derive his responsibilities and authority from the
Project Manager. The Deputy Project Manager may be {Department} employee or
a contracted individual.
A3/4
Insert Document Version and Date}
APPENDIX A
TO PROJECT CHARTER
(Project title)
A.6 Procurement Lead
{The Procurement Lead will prepare the requisitions associated with the
procurement of equipment and services.}
Responsible For:
a. preparing cost estimates for decision documents;
b. providing input to all relevant project documentation;
c. advising the PM on financial, procurement and supply regulations;
d. preparing procurement requisitions and instruments as directed by the PM;
e. preparing and maintaining project cost, budget and expenditure information;
f. acting as the principal point of contact between {department} and other
government departments to obtain concurrence and, where necessary, support and
assistance on procurement, contractual and financial matters;
g. preparing and staffing documentation required to obtain a Record of Decision
from the Interdepartmental Procurement Review Committee;
h. recommending the procurement strategy and obtaining the necessary approvals;
and
i. advising and assisting, as necessary, to find ways of meeting objectives within
policy constraints or attempting to have the constraints lifted, ensuring that
policies are followed.
A.7 Project Team
The Project Manager will lead the Project Team. It shall include the Portfolio
Manager and representatives from each stakeholder involved in the project.
Responsible For:
a.
carrying out all aspects of the project activities; and
b.
reporting projects issues promptly, as required, to the Project Manager.
A.8 Operational Research Member
{An operational Research (OR) representative may be identified dependent on the
CRTI project requirements.}
A4/4
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APPENDIX A
TO PROJECT CHARTER
(Project title)
B- Summary Gantt chart of the project (using Microsoft Project).
A5/4
Insert Document Version and Date}