# Presentation: 541282

## Modeling Working Group

- _Primary Discussion Topics_
- Modeling Needs
- Exchange of Ideas with Global Climate Modelers
- _Modeling is all encompassing and includes_
- New particle formation
- Gas-particle interactions
- Optical properties
- Cloud-aerosol Interactions
- _Deliverables_
- Did not discuss deliverables in great detail - will contact modeling working group to determine progress on proposed deliverables
- Do investigators wish to alter deliverables?

**Modeling Working Group**

**Notes:**
The model we will use is the chemistry version of the Weather Research and Forecasting model, called WRF-chem.

WRF is the next-generation meteorological model being developed by several agencies and the first version of WRF-chem was developed by the NOAA Forecast Systems Laboratory.

Over the past year, we have had internal funding to integrate into WRF-chem modules that have been developed using prior ASP support.  These include the CBM-Z gas-phase mechanism developed by Rahul, the MOSAIC aerosol mechanism developed by Rahul Zaveri and Dick Easter, the FAST-J photolysis scheme adapted by Elaine Chapman and Jim Barnard, and aerosol optical properties developed by Jim Barnard and Rahul Zaveri.  Details of the treatment of direct forcing, indirect forcing  and SOA formation are described on our web site.

We have chosen WRF-chem as our modeling framework for a number of reasons.  First, meteorology and chemistry are coupled on-line so that we can simulate feedback processes associated with aerosols, chemistry, clouds, and radiation.  The model also has 2-way nesting so that we can simulate aerosol evolution over multiple scales.  The framework is useful for comparing the performance of different aerosol modules, while the emission and meteorology remain the same.  Many previous inter-model comparison studies are complicated by differences in emissions and meteorology, not just the treatment of aerosols.  And finally, WRF is a community model so that ASP module development can be quickly transferred to the larger scientific community.  And we can also take advantage of new research conducted outside of ASP.

## Modeling Needs

- Instrument to obtain size distribution at high time resolution for aircraft sampling of small plumes is critical for some model evaluations, e.g. 1 minute sampling interval too large
- Inter-comparison of instrumentation, e.g. sulfate from AMS ~7 times higher than PILS during 2004 NEAQS, inter-comparison information needs to be documented when applicable
- When will data be available from MASE?  ARM data appeared on the web site pretty quickly after the field campaign - why not ASP?
- Model Inter-comparison studies
- Inter-comparison of models during field campaign, e.g. IMPACT will be run can be compared with MOZART and GEOS-chem after the MILAGRO field campaign

**Modeling Needs**

**Notes:**
The model we will use is the chemistry version of the Weather Research and Forecasting model, called WRF-chem.

WRF is the next-generation meteorological model being developed by several agencies and the first version of WRF-chem was developed by the NOAA Forecast Systems Laboratory.

Over the past year, we have had internal funding to integrate into WRF-chem modules that have been developed using prior ASP support.  These include the CBM-Z gas-phase mechanism developed by Rahul, the MOSAIC aerosol mechanism developed by Rahul Zaveri and Dick Easter, the FAST-J photolysis scheme adapted by Elaine Chapman and Jim Barnard, and aerosol optical properties developed by Jim Barnard and Rahul Zaveri.  Details of the treatment of direct forcing, indirect forcing  and SOA formation are described on our web site.

We have chosen WRF-chem as our modeling framework for a number of reasons.  First, meteorology and chemistry are coupled on-line so that we can simulate feedback processes associated with aerosols, chemistry, clouds, and radiation.  The model also has 2-way nesting so that we can simulate aerosol evolution over multiple scales.  The framework is useful for comparing the performance of different aerosol modules, while the emission and meteorology remain the same.  Many previous inter-model comparison studies are complicated by differences in emissions and meteorology, not just the treatment of aerosols.  And finally, WRF is a community model so that ASP module development can be quickly transferred to the larger scientific community.  And we can also take advantage of new research conducted outside of ASP.

## Exchange of Ideas with Global Climate Modelers

- For fast-reacting quantities, treat as emissions
- Correlating between variables over multiple scales in regional models
- Increased CPU and importance of the process parameterized
- How to evaluate indirect effects in models?
- Differentiating between coarse spatial resolution of GCM and aerosol process parameterizations - possible degrade resolution of mesoscale models but that is problematic because of scale dependant parameterizations
- How high resolution local to regional models can be used to help global models?

**Exchange of Ideas with Global Climate Modelers**

- mesoscale model

- GCM grid cell

- mean and variation statistics

- surface site

- aircraft

- Possible ASP Modeling Product

**Notes:**
The model we will use is the chemistry version of the Weather Research and Forecasting model, called WRF-chem.

WRF is the next-generation meteorological model being developed by several agencies and the first version of WRF-chem was developed by the NOAA Forecast Systems Laboratory.

Over the past year, we have had internal funding to integrate into WRF-chem modules that have been developed using prior ASP support.  These include the CBM-Z gas-phase mechanism developed by Rahul, the MOSAIC aerosol mechanism developed by Rahul Zaveri and Dick Easter, the FAST-J photolysis scheme adapted by Elaine Chapman and Jim Barnard, and aerosol optical properties developed by Jim Barnard and Rahul Zaveri.  Details of the treatment of direct forcing, indirect forcing  and SOA formation are described on our web site.

We have chosen WRF-chem as our modeling framework for a number of reasons.  First, meteorology and chemistry are coupled on-line so that we can simulate feedback processes associated with aerosols, chemistry, clouds, and radiation.  The model also has 2-way nesting so that we can simulate aerosol evolution over multiple scales.  The framework is useful for comparing the performance of different aerosol modules, while the emission and meteorology remain the same.  Many previous inter-model comparison studies are complicated by differences in emissions and meteorology, not just the treatment of aerosols.  And finally, WRF is a community model so that ASP module development can be quickly transferred to the larger scientific community.  And we can also take advantage of new research conducted outside of ASP.

## Deliverables

**Deliverables**

**Notes:**
The model we will use is the chemistry version of the Weather Research and Forecasting model, called WRF-chem.

WRF is the next-generation meteorological model being developed by several agencies and the first version of WRF-chem was developed by the NOAA Forecast Systems Laboratory.

Over the past year, we have had internal funding to integrate into WRF-chem modules that have been developed using prior ASP support.  These include the CBM-Z gas-phase mechanism developed by Rahul, the MOSAIC aerosol mechanism developed by Rahul Zaveri and Dick Easter, the FAST-J photolysis scheme adapted by Elaine Chapman and Jim Barnard, and aerosol optical properties developed by Jim Barnard and Rahul Zaveri.  Details of the treatment of direct forcing, indirect forcing  and SOA formation are described on our web site.

We have chosen WRF-chem as our modeling framework for a number of reasons.  First, meteorology and chemistry are coupled on-line so that we can simulate feedback processes associated with aerosols, chemistry, clouds, and radiation.  The model also has 2-way nesting so that we can simulate aerosol evolution over multiple scales.  The framework is useful for comparing the performance of different aerosol modules, while the emission and meteorology remain the same.  Many previous inter-model comparison studies are complicated by differences in emissions and meteorology, not just the treatment of aerosols.  And finally, WRF is a community model so that ASP module development can be quickly transferred to the larger scientific community.  And we can also take advantage of new research conducted outside of ASP.