The
          Mole

         d Stud
For Acid Deposition
                       ation
and Fie

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                        EMEFS Sponsors
 Atmospheric Environment Service,
 Environment Canada (AES)

 United States Environmental
 Protection Agency (EPA)
   - ENSR Consulting & Engineering, Inc.
   - Environmental Monitoring
     & Services, Inc.
   - Desert Research Institute
   - Research & Evaluation Associates
 Electric Power Research Institute (EPRI)
   - ENSR Consulting & Engineering Inc.
   - Environmental Monitoring
     & Services, Inc.
   - Environmental Science
     & Engineering,  Inc.
   - TRC Environmental Consultants
Florida Electric Power
Coordinating Group (FCG)
   - Environmental Science
    & Engineering, Inc.

Ontario Ministry of the Environment
& Energy (OMEE)
l+l
Environment   Environnement
Canada       Canada
Atmospheric   Service
Environment   de I'environnement
Service       atmospherique
vvEPA
EPRI
Electric Power
Research Institute
                                                                                     Ontario
                                                     Florida Electric Power
                                                     Coordinating Group
                                                  Ministry of    Ministere de
                                                  Environment  I'Environnement
                                                  and Energy   et de I'Energie
Issued under the authority of the Minister
of the Environment
Atmospheric Environment Service
© Minister of Supply and Services Canada, 1993
Catalogue No. Ens6-io6/i993E
ISBN 0-662-20832-3
Egalement disponible en franfais sous le titre
«Etude d'evaluation sur le terrain du modele
eulerien pour les depots acides»
      This paper contains a minimum of 50%
      recycled fibers, including 10% post-
      consumer fibers.

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                                                                                        950R93003
                   Creating  Confidence
The prevention of acid rain is an
expensive business. Costs to industry
are projected at $20 billion for the
U.S. and $1.7 billion for Canada.1 )ust
one scrubber to clean up the emis-
sions  from a smokestack can cost
half a billion dollars. Society must
take into account many factors as it
fights acid rain. Decisions such as
how many control devices are need-
ed, which kind, and where to place
them for maximum  effectiveness
should obviously be made with care,
calling on the best  science available.
    Because the processes involved
in acid rain are so complex,  computer
models are invaluable in understand-
ing the cause-and-effect relationship
between the emission of acidifying
substances from particular sources
and the pattern of acid deposition
(source-receptor relationships), and
in predicting which  proposed control
strategies can succeed in reducing
acid rain to acceptable levels.
    In the past, simple Lagrangian
models were used to determine
source-receptor relationships. But,
following a series of U.S.-Canadian
meetings from 1979-81 concerning the
Memorandum of Intent on Trans-
boundary Pollution, it was decided
that Lagrangian models could not
reliably describe the nonlinearities
inherent in the real atmosphere.
Nonlinearity could mean, for example,
that a 50% reduction in emissions
would result  in  only a 30% reduction
in acid deposition on the target area.
If nonlinearity were this high, the cost
of controlling acid rain could double.
Participants in these meetings also
felt that the Lagrangian approach
lacked credibility  in  accounting for the
multiple  sources and long distances
involved in the acid rain issue.
                                                                                    Measurements at sites, such as this
                                                                                    one operated by OMEE at Balsam
                                                                                    Lake, Ontario, were used during the
                                                                                    EMEFS evaluation to verify model
                                                                                    predictions for acid rain.
    The Eulerian framework, which
can incorporate a more complex
level of science than the Lagrangian
approach, was therefore adopted by
both countries. Two Eulerian models
were developed: in Canada, the
Acid Deposition  and Oxidant Model
(ADOM) was supported by the
Ontario Ministry of the Environment
and Energy, the  Atmospheric
Environment Service of Environment
Canada, the U.S. Electric Power
Research Institute, and the German
Umweltbundesamt; while in the U.S.,
the Regional Acid Deposition
Model  (RADM) was created by the
Environmental Protection Agency.
    The model developers were
exploring new ground in terms of
computational techniques  and  the
scope of process representation. Any
error in the models' representations
of physical and chemical processes

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 could bias predictions. So, just how
 valid were these new model predic-
 tions? The most direct answer  would
 come from a rigorous evaluation  of
 model performance against real world
 observations, made over as wide a
 range of atmospheric conditions as
 possible. The evaluation would be
 carefully designed to stress the model
 performance and bring out any short-
 comings or artifacts in their design.
     The Eulerian Model Evaluation
 and  Field Study, or EMEFS, was the
 appointed  challenge. This precedent-
 setting collaborative effort was one
 of the largest environmental mea-
 surement studies in North American
 history, providing a comprehensive
 air quality and precipitation chemistry
 data base for model evaluation.
     The  EMEFS sponsors spent a
total of $20 million for model devel-
opment, and $35 million on
gathering the data for the evalua-
tion— a lot of money, yet a fraction
of the control costs for acid rain.
    A project protocol was devised
specifying tests to address various
model application issues, as well as
the comparisons to be done  between
model predictions and observations
in support of each test. Extensive
quality assurance activities were
implemented to determine and limit
the uncertainties in the evaluation
data set, so that these could be sep-
arated from uncertainties in model
predictions. An external review panel
of international experts was assem-
bled to periodically review the model
evaluation program and provide
counsel on its direction and progress.
These measures were  taken to devel-
op confidence in the community at
large in  the quality of the evaluation,
and eventually, in the fitness  of the
                                                                                       Sneak preview -
                                                                                       scenario for the year 2010.
                                                                                       Predicted response to Canadian
                                                                                       and U.S. sulfur dioxide emission
                                                                                       controls. Simulation on the Eulerian
                                                                                       model RADM.
models for use in policy decisions.
    As a result of EMEFS, we have
learned much about the process of
evaluating comprehensive air quality
models and about the adequacy of
our current understanding of atmos-
pheric processes.
    The EMEFS database itself will
be of great interest to those investi-
gating empirical relations between
emissions and deposition and air
quality, and to those developing
models still more sophisticated than
RADM and ADOM. Its value lies in its
unique combination of geographical
breadth, chemical depth, defined
quality of the data, and two-year
time span. No other existing air qual-
ity data set shares this distinction.

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In  the   Field
                                  Map of Sites
                                  The EMEFS Surface
                                  Measurement Network
                Ground-based Network
                From June 1988 to May 1990, air and
                precipitation samples were gathered
                daily in a network of over 100 sites in
                eastern Canada and  the U.S. Most of
                the sites selected were free from the
                influence of local sources of pollution.
                    Within the surface network,  a
                dense cluster of sites was introduced
                across Pennsylvania  and into New
                York to test the  models' ability to
                define the strong gradients expected
                in pollutant deposition patterns
                throughout this region. This cluster
                was named  the GRAD network.
                Another set of sites,  called the VAR
                network, was selected to probe sub-
                grid variability, that is, how well  a
                measurement at a single location can
                represent an area the size of a model
                grid cell (80x80 km for RADM and
                127x127 km for ADOM).
                    These networks  were  used to
                gather data for what is called an
'operational evaluation' of the models.
Essentially, model predictions are
compared with field observations that
are averaged over several days to a
year, to answer the question: "Are we
getting good agreement with the
observations, on time scales of impor-
tance to acid rain effects?"
    All of the stations in the network
measured the pH and major ions in
precipitation and operated rain
gauges. Almost all of the stations col-
lected 24-hour air samples using filter
packs for paniculate sulfates and
nitrates, as well as gaseous nitric acid
and sulfur dioxide. Most of the sites
provided continuous ozone  measure-
ments, and in the U.S. (but  not
Canada), local  meteorological data. At
several sites, additional pollutants
were monitored, notably ammonia,
PAN, and nitrogen dioxide.

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The EPA sampling deck at the
Quabbin Reservoir in Massachusetts.
Routine Surface Measurements
NETWORK


OBSERVABLE EPA
GRAD VAR
Total Stations
Precipitation
Chemistry3
S(IV)
Depth (i h av)
Aerosol Particle3
Mass (< 2 urn)
Mass (<- hr av)
504=
N03~
NH4+
Gaseous
HN03 (24 h av)
502 (24 h av)
NH3 (24 h av)
N02 (24 h av)
N02 (i h av)
NOx (i h av)
03 (i h av)
Meteorology'3 (at 10 m)
3 24-Hour average pH,
14 11

14 11
8
14 11

4

14 11
14 11
11

14 11
14 11
14 11
14 11


14 11

conductivity
OTHER
43

43
i
43

29

43
43
36

43
43
43
43



36
(S04=, N03
b 3-Hour average wind speed, wind direction,
barometric pressure,

EPRI OMEE AES FCG

25 29 11 4

25 19 11 4

25 19 11 4


25
25 11 10 2
25 11 10 2
25 2

25 11 10 2
25 11 10 2
25 2

24 2
1
24 4 9 2
24
- Cr, NH4+, Na+, K+, Ca++, Mg++)
temperature, relative humidity,
insolation (EPA only)

Intensive Measurements
While data from the routine monitor-
ing program  can be used to verify a
model's predictions, more specialized
data  is required to determine whether
models perform well for the right
reasons, and not merely due to a
compensation of errors. This type  of
testing examines the components  of a
model individually, and is called
'diagnostic evaluation'.
    To provide this added challenge
for ADOM and  RADM, in the summer
of 1988 and  spring of 1990, Canadian
agencies  and the EPA conducted
intensive six-week measurement cam-
paigns, taking  measurements from
five instrumented aircraft as well as
making augmented chemistry mea-
surements at six enhanced surface
sites. They were joined in this effort
in 1988 by the Fraunhofer Institute of
Germany and in 1988 and 1990 by the

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The skill with which RADM can simulate large-
scale regional distributions and pollutant
gradients aloft was assessed by comparing
the model output with measurements taken
from two  planes executing the  zipper and cur-
tain patterns. The  drawing above shows the
interlocking curtain and zipper, while the
diagram on the right shows an actual flight
superimposed on the RADM grid.
U.S. National Oceanic & Atmospheric
Administration (NOAA) and the
Canadian Institute for Aerospace
Research (IAR). The aircraft flew during
both the day and night in various pat-
terns between the sites. This marked
the first time extensive aircraft data
had been collected for model evalua-
tion. The aircraft data allowed for test-
ing of the models' atmospheric  fea-
tures and three-dimensional behaviour.
    The aircraft data were subjected
to a rigorous quality  assurance and
control program, and there were
opportunities for comparison through
side-by-side Canadian and U.S. flights.
Indeed,  throughout the EMEFS, much
attention was given to meeting the
data quality objectives of precision,
accuracy, representativeness and com-
parability, through efforts such as
collocation  of samplers and regular
laboratory intercomparisons.
                                                        •85
                                                                              •80
                                                                                                     75
                                                                                                                          •70
Above: A look inside the
Fraunhofer Institute's plane
Right: The EPA flight team.

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 t   •
Daily emissions estimates were provided for most
of the major point sources of sulfur dioxide, shown
on the map above. These estimates were combined
together with other information from remaining
sources to form daily snapshots of sulfur dioxide
emissions, such as the one for September 16, 1988
on the right.
Emissions Inventory
A high quality emissions inventory is
an essential input for proper model
evaluation. Emissions estimates
which closely represent  actual emis-
sions were prepared  by  replacing
"typical" emissions from the National
Acid Precipitation Assessment
Program (NAPAP) 1985 emissions
inventory with hourly data for three
categories:  major point sources,
mobile sources and biogenic sources.
Over 200 of the largest  stationary
sources in the U.S. were monitored
for sulfur dioxide and nitrogen
oxides, along with the 15 largest
Canadian sources east of
Saskatchewan,  thus accounting for a
large portion of sulfur dioxide and
nitrogen  oxide emissions in the
region. (Note that in  Canada, moni-
toring data for point  sources were
confined to the two intensive mea-
surement periods). Plume rise from
point sources was calculated from
source characteristics in the emis-
sions inventory along with hourly
meteorological data. Mobile-source
emissions were adjusted to account
for the daily average temperature and
the daily temperature range. Natural
emissions of organic compounds and
nitrogen oxides were calculated
based on the type of surface land
cover and the hourly  meteorological
data. Estimates of the uncertainty of
the emissions data for sulfur dioxide,
nitrogen oxides and volatile organic
compounds were also made.
Data Base
Once thoroughly validated, data from
all the  participants were compiled
and archived in the Acid Deposition
Systems (ADS) data base at Battelle
Pacific  Northwest Laboratories. This
data set may be obtained  from any
of the cosponsoring agencies.

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      The  Verdict,  So  Far
4    5
  OBSERVED
456
   OBSERVED
                             Data from EMEFS set the stage for
                             the  most extensive evaluation ever
                             attempted on  regional air quality
                             models. This evaluation will continue
                             through 1993.  As a result of the
                             early evaluation work, a number of
                             improvements have been  made in the
                             initial versions of ADOM and RADM.
                                 While their predictions for the
                             wet  deposition of sulfate were fairly
                             good, both RADM and ADOM were
                             shown to underpredict sulfate
                             aerosol. Iterative testing on ADOM
                             indicated that  this underprediction
                             most likely occurred because non-
                             precipitating clouds were not being
                             adequately represented in the mod-
                             els. This led to the discovery that  the
                             role  of non-precipitating cumulus
                             clouds in sulfate production was
                             quite important, a major finding of
                             the evaluation. ADOM and RADM
                             were improved accordingly, and the
                                                                       Success: The predictive capability of
                                                                       RADM improved after it was corrected
                                                                       to include  non-precipitating clouds.
                                                                       The diagonal line would indicate an
                                                                       exact correspondence between
                                                                       simulations and observations. The
                                                                       irregular line is a smoothed running
                                                                       median of  the values.
                               new models underwent a favourable
                               peer review in the spring of 1992.
                                   Thanks to these evaluation
                               efforts and  model improvements, a
                               sufficient understanding of the pre-
                               dictions of total sulfur loadings has
                               been achieved, so that RADM and
                               ADOM are now able to contribute to
                               policy assessment. For example, the
                               Canadian control program aims to
                               reduce the wet deposition of sulfate
                               to below 20 kg/ha/yr.  Nonlinearity
                               was shown  to be small enough by
                               the models  (in which we  now have
                               confidence)  that the promised  reduc-
                               tions in  the U.S. and Canada of sulfur
                               dioxide emissions should prove suffi-
                               cient to  meet this goal. Furthermore,
                               an evaluation of annual average sul-
                               fur deposition has shown that  the
                               Eulerian models predict sulfur  depo-
                               sition patterns as well or better than
                               Lagrangian  models. The models are

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Predictions vs. Observations
The daily variations in the regional
average of sulfate concentrations
(M§/m3) as predicted by ADOM,
compared to EMEFS observations.
Vertical bars show the 95%
confidence interval
beginning to be used for predicting
total nitrogen loading, though there
is a slight bias towards overpredic-
tion. This is most likely because
there is a strong gradient in nitrate
deposition at the surface. The grid
size in both models was too large to
capture this process. Horizontal and
vertical grid resolutions are now
being improved to better describe
this gradient.
    Model developers had also antic-
ipated that given the ADOM and
RADM large grid sizes, it would be
difficult to predict for oxidants. This
was confirmed  in the evaluation.
Research continues, though. ADOM is
presently being adjusted with a
smaller  grid-scale to analyze the cre-
ation and transport of smog through
the Windsor-Quebec corridor.
Furthermore, EMEFS experience will
be heavily relied upon  for model
development and field data collection
in the upcoming U.S. Southern
Oxidants Study. Other possible appli-
cations for ADOM and RADM include
addressing visibility, emissions trad-
ing schemes and air toxics.
    Thus, having gained experience,
a firmer technical foundation and the
confidence of both the scientific com-
munity and policy-makers, the EMEFS
has placed us in a far better position
to address emerging air quality prob-
lems, and provides a blueprint for
effective  international research col-
laboration on these issues.

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                   For further  information
Several reports discuss the planning,
execution and model evaluation results
of the EMEFS. Here is a selected list:

"The EMEFS Project Plan"
Available from EPRI
(address below)

"The National Acid Precipitation
Assessment Program Report 5:
Evaluation of Regional Acidic
Deposition Models and Selected
Applications of RADM" (1990)
Can be purchased  from:
Superintendent of  Documents
Government Printing Office
Washington, DC 20402-9325
(202) 783-3238
"The EMEFS Model Evaluation: An
Interim Report" (1991)
Can be purchased  from:
National Technical  Information Service
U.S. Department of Commerce
5285 Port Royal Road
Springfield, VA 22161
(7<>3) 487-4650
The following reports will be published
in 1994: "Characterization and Usage
of Sub-grid Scale Variability in Model
Evaluation", written by and available
from EPA, and "The Eulerian Model
Evaluation and Field Study Quality
Assurance Synthesis of Network Data,
Volume i", written by all the sponsors
and available from EPRI.

Contacts;
Jason Ching
Environmental Protection Agency
Atmospheric Sciences Modelling Division
Air Resources Laboratory
Research Triangle Park, NC 27711
Robin Dennis
Environmental Protection Agency
Atmospheric Sciences Modelling Division

D. Alan Hansen
Electric Power Research Institute
3412 Hillview Ave.
P.O. Box 10412
Palo Alto, CA 94303

John Jansen
Florida Electric Power Coordinating Group
P.O. Box 2625
800 Slades Creek Parkway
Burmingham, AL 35202

Norman Kaplan
Environmental Protection Agency
Pollution Control Division

Maris Lusis
Ontario Ministry of the
Environment & Energy
Air Resources Branch
125 Resources Road, West Wing
Etobicoke, ON MgP 3V6

P.K. Misra
Ontario Ministry of the
Environment & Energy
Air Resources Branch

Keith Puckett
Atmospheric Environment  Service
Air Quality Research Branch
Environment Canada
4905 Dufferin St.
Downsview, ON M3H
Robert Vet
Atmospheric Environment Service
Air Quality Research Branch
Environment Canada
Notes
1From "Regulatory Impact Analysis of
the Final Acid Rain Implementation
Regulations", EPA, 1992 and "The
1990 Canadian Long-range Transport
of Air Pollutants and Acid  Deposition
Report - Part 7, Socio-economic
Studies", The Federal/Provincial
Research and Monitoring Coordinating
Committee (RMCC), 1990.

Acknowledgments
Many thanks to Tina Shapiro for
writing the text and overseeing its
production, to Daniel Pokorn for his
able translation, and to Rushton,
Green and Grossutti Inc. for their
design work.

Photo Credits:
Cover (left to right): the EPRI site in
Shawano, Wl taken by Carol
Westmoreland-Pounds of ENSR; the
AES sponsored Twin Otter, operated
and photographed by The Institute
for Aerospace Research (IAR); and
the EPA sponsored site at Quabbin
Reservoir, MA, run and photographed
by ENSR.
Page i:  the OMEE site at Balsam
Lake,  ON, taken by Celine Audette.
Page 4:  the Quabbin Reservoir site,
taken by ENSR.
Page 5:  the EPA flight team pho-
tographed by Chet Spicer of Battelle
Pacific Northwest Laboratories; and
the inside of the Fraunhofer
Institute's plane, taken by the
Institute.

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