Ryan
October 9, 2020, 6:58am
1
Dear all,
I am working on using the ISAM module in CMAQv5.3.1 for estimating the relative contribution of each specific source category on a severe wildfire event over California this year. However, as noted in the CMAQv5.3.1 issue notes, current ISAM incorporated in CMAQv5.3.1 has overestimated the boundary contribution and the new ISAM module is under development. Therefore, I would like to know when the new ISAM will be released.
Thanks!
@sergey
With regards,
Ryan
Hi Ryan,
CMAQv5.3.2 was released in Oct. 2020, shortly after you asked this question.
I apologize for the late reply.
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# 11. Integrated Source Apportionment Method (CMAQ-ISAM)
## 11.1 Introduction
The Integrated Source Apportionment Method (ISAM) calculates source attribution information for user specified ozone and particulate matter precursors within the CMAQ model. CMAQ-ISAM has been substantially updated in the CMAQv5.3 release, and differs significantly from previous releases. The major changes to the ISAM chemistry solver are detailed in the [ISAM Chemistry Supplement](Supplement/CMAQ_ISAM_Chemistry_Supplemental_Equations.pdf).
The CMAQ model provides users the concentration and deposition fields of many pollutant species. These species are usually combinations of different types of primary emissions and secondary formation that have been physically and chemically transformed in the model. However, sometimes it is desirable to know specific source attribution information for the model outputs. For example, how much of the ozone in an urban area was formed due to nitrogen oxides emitted from motor vehicles in a neighboring state?
Answering this type of question often requires running an air quality model twice, once with the standard emissions scenario and once with the source of interest completely removed. The difference between the two runs is then assumed to be attributed to the removed source. While this approach is reasonably straightforward to implement, it has some drawbacks. For example, removing a large source from the system in a highly nonlinear chemical mixture can lead to some errors. Also, calculating source attribution of many sources can be logistically and computationally prohibitive.
Alternatively, running CMAQ with ISAM enabled allows the user the ability to calculate source attribution of a large number of sources directly by the model in one simulation.
Note: While full model species list apportionment is in development, currently ISAM is limited to the following species classes in CMAQ:
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Liz