aerocom marine intercomparison eimear dunne finnish meteorological institute first magic science...
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AeroCom marine intercomparison
Eimear Dunne
Finnish Meteorological Institute
First MAGIC Science Workshop
BNL, 6th May 2014
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AeroCom marine intercomparison
Eimear Dunne
Finnish Meteorological Institute
First MAGIC Science Workshop
BNL, 6th May 2014
![Page 3: AeroCom marine intercomparison Eimear Dunne Finnish Meteorological Institute First MAGIC Science Workshop BNL, 6 th May 2014](https://reader031.vdocument.in/reader031/viewer/2022020417/5697bfd41a28abf838cacaaa/html5/thumbnails/3.jpg)
Outline• Marine CCN project
• AeroCom marine intercomparison• Which models? • What data?
• Polite request for any and all available marine data
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Marine CCN project• Finnish Meteorological Institute project, funded by the
Academy of Finland• PI: Hannele Korhonen
Purpose: To improve our understanding of current and future sources of CCN in the marine atmosphere
• Primary model: GLOMAP (University of Leeds)
I will be giving a presentation on Thursday at 11am
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AeroCom• “Aerosol Comparisons between Observations and
Models”• Aerosol modellers submit simulations from their
models with prescribed emissions etc. • Their performance is then compared against each
other and against observations• As part of Marine CCN, I am coordinating a miniature
AeroCom intercomparison focusing on marine regions
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Sectional versus modal models• Sectional models can
capture the shape of the size distribution more accurately
• Modal models are much less computationally intensive
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Models included in the comparison• GLOMAP-mode
• University of Leeds• Modal aerosol scheme in TOMCAT chemical transport model
• HadGEM• Hadley Centre / UK Met Office• GLOMAP-mode implemented in HadGEM climate model
• ECHAM-SALSA• University of Hamburg• Sectional aerosol scheme implemented in ECHAM climate model
• CAM-Oslo• Norwegian Meteorological Institute• Sectional aerosol scheme implemented in CAM atmosphere model
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Challenges from global models• Large grid box size means that in-situ measurements
may be very different from the grid box average value in the model• This can be an especially difficult issue when a grid box
contains both continental and marine regions• Global models cannot resolve sub-grid-scale
processes and will use parameterisations to represent cloud-scale processes etc.• Some of these processes (like wet removal) are
extremely important to aerosol concentrations, but aren’t explicitly resolved
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Challenges from AeroCom• Data provided to the AeroCom database are monthly
mean values for e.g. mode radius, number concentration etc. • Advantage: gets rid of a lot of noise• Disadvantage: if we’re looking at daily values of
shipboard measurements, and the ship moves between grid-boxes…
• Just got to do the best we can
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What kind of data are we looking for?• Literally any marine-based aerosol measurements• The more remote, the more relevant to the project
• But we are still interested in coastal measurements! • Already have several offers of Arctic/Antarctic
measurements, so lower latitudes would be especially welcome
• Aircraft are great, too – as long as they’re over the ocean!
• We always use data within relevant data policy• Always interested in collaboration if you would like to
compare observations with models
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MAGIC data• MAGIC is exactly what we’re looking for – long-term,
high-quality aerosol measurements in marine regions• We will try to fit the model investigation to whatever
data are made available• Because the models are global, we’ll be using a grid-
box average• The inclusion of statistics from long-term MAGIC
measurements will improve the comparison• Things we are particularly interested in:
• Size distributions• Compositions• AODs at different wavelengths
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Data [email protected]
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