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The POP Model Intercomparison Study: Steps Towards a Mechanistic Interpretation of the Results Marti

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Title: The POP Model Intercomparison Study: Steps Towards a Mechanistic Interpretation of the Results Marti


1
The POP Model Intercomparison Study Steps
Towards a Mechanistic Interpretation of the
ResultsMartin Scheringer, Fabio WegmannSwiss
Federal Institute of Technology Zürich EMEP
Task Force on Measurements and ModellingMoscow14
October 2005
2
Overview
  • Where do we stand?
  • Stage II overview and trends
  • Next steps

3
Overview
  • Where do we stand?
  • Stage II overview and trends
  • Next steps

4
POP Model Intercomparison Study
  • 10 highly different models
  • Models have different purposes and endpoints
  • Study planned in three stages, start March 2002
    (TFMM meeting Geneva)
  • Stage I individual phase transfer processes
  • Stage II mass balances and concentration and
    deposition fields sensitivity analysis
  • Stage III persistence and long-range transport
    potential
  • Three expert meetings in Moscow (20022005)
  • Current status stage I finished, stage II
    partly finished, stage III started

5
Participating Models
  • ADEPT/LOTOS (Netherlands)
  • ADOM-POP (Germany)
  • CAM/POPs (Canada)
  • CliMoChem (Switzerland)
  • DEHM-POP (Denmark)
  • EVN-BETR and
  • UK-MODEL (UK)
  • G-CIEMS (Japan)
  • HYSPLIT 4 (USA)
  • MSCE-POP (MSC-E)
  • SimpleBox (Netherlands)

6
Results from Stages I and II
  • Reports Shatalov et al. 2004 and 2005

7
Results from Stages I and II
  • Stage I
  • Model descriptions
  • Selection and treatment of chemical properties
  • Process descriptions
  • Stage II
  • Masses in environmental compartments
  • Mass fluxes for degradation, transport, and phase
    exchange
  • Concentrations at interfaces

8
Overview
  • Where do we stand?
  • Stage II overview and trends
  • Next steps

9
Computational Experiments for Stage II
  • EMEP region as model domain (35N70N,
    10W30E)
  • Calculations for PCBs 153 (and 28, 180) in 2000,
    four scenarios
  • Reference chemical properties (Li et al.)
  • Own chemical properties (various sources)
  • Zero initial concentrations
  • Initial concentrations from historical emissions
    (Breivik et al.)

sensitivity study
10
Results from Stage II What Do They Show?
  • Large body of data
  • General conclusion most models agree in most
    respects (Shatalov et al. 2005, p. 265268)
  • However
  • Agreement not always necessary we can learn
    from discrepancies!
  • Many discrepancies at more detailed levels
  • Why?

11
Results from Stage II What Do They Show?
  • Large body of data
  • General conclusion most models agree in most
    respects (Shatalov et al. 2005, p. 265268)
  • However
  • Agreement not always necessary we can learn
    from discrepancies!
  • Many discrepancies at more detailed levels
  • Why?

12
Discrepancies in Stage II (I)
  • Example G-CIEMS and CliMoChem

mass in troposphere (10 km), reference properties
mass in troposphere (10 km), own properties
G-CIEMS
CliMoChem
large discrepancy (factor of 10)
large discrepancy (factor of 5 to 6)
13
Discrepancies in Stage II (II)
  • Example G-CIEMS and CliMoChem

mass in soil (10 cm), own properties
mass in water (200 m), own properties
G-CIEMS
CliMoChem
no strong discrepancy (factor of 2 to 3)
no strong discrepancy (factor of 1.5)
14
Discrepancies in Stage II (III)
  • Example G-CIEMS and CliMoChem

mass degraded in troposphere (10 km), reference
properties
mass degraded in troposphere (10 km), own
properties
G-CIEMS
CliMoChem
both models with highest mass losses, but
different by a factor of 2 to 3
CliMoChem similar to other models G-CIEMS with
different shape
15
Discrepancies in Stage II (IV)
  • Example G-CIEMS and CliMoChem

outflow out of model domain in troposphere (10
km), reference properties
outflow out of model domain in water (200
m), reference properties
CliMoChem
G-CIEMS
CliMoChem with lowest values, G-CIEMS with high
values (factor of 5 to 15)
CliMoChem (and MSCE-POP) low G-CIEMS higher by
factor of 10
16
Outflow out of Model Domain
  • Example G-CIEMS and CliMoChem

G-CIEMS with one box for the model
domain outflow in all directions
17
Outflow out of Model Domain
  • Example G-CIEMS and CliMoChem

CliMoChem with latitudinal zones outflow only in
N and S directions
18
Discrepancies in Stage II (V)
  • Example G-CIEMS and CliMoChem

net deposition from troposphere to
soil, reference properties
net deposition from troposphere to
water, reference properties
G-CIEMS
CliMoChem
CliMoChem low, shape similar to other
models G-CIEMS with different shape
both models with (very) low deposition G-CIEMS
with different shape
19
Results from Stage II What Do They Show?
  • Large body of data
  • General conclusion most models agree in most
    respects (Shatalov et al. 2005, p. 265268)
  • However
  • Agreement not always necessary we can learn
    from discrepancies!
  • Many discrepancies at more detailed levels
  • Why?

20
Next Steps (I)
  • Reports on stages I and II provide valuable basis
    for developing research questions
  • two models in comparison
  • individual models in comparison to all other
    models
  • Concept for a systematic analysis of similarities
    and discrepancies
  • priority of questions
  • focal points of interest
  • development of hypotheses about model behavior

21
Next Steps (II)
  • Answers to research questions
  • perform additional calculations as experiments
    to test hypotheses
  • use consistent chemical properties
  • use simple and most consistent release pattern
  • exclude influence of different model geometry
  • This will constitute part 2 of stage II of the
    POPs Model Intercomparison Study (next modelers
    meeting Saturday, October 15).

22
Next Steps (III)
  • Stage III
  • Use reference chemicals from OECD model
    comparison study
  • aldrin, atrazine, biphenyl, p-cresol, CCl4,
    a-HCH, PCB-28, PCB-153, PCB-180, HCB
  • and also
  • BDE-47, BDE-99, BaP, hexachlorobutadiene
  • Rank reference chemicals according to Pov and
    LRTP in all models
  • Again analyze reasons for differences

23
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