File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A novel downscaling technique for the linkage of global and regional air quality modeling

TitleA novel downscaling technique for the linkage of global and regional air quality modeling
Authors
Issue Date2009
Citation
Atmospheric Chemistry and Physics, 2009, v. 9, n. 23, p. 9169-9185 How to Cite?
AbstractRecently, downscaling global atmospheric model outputs (GCTM) for the USEPA Community Multiscale Air Quality (CMAQ) Initial (IC) and Boundary Conditions (BC) have become practical because of the rapid growth of computational technologies that allow global simulations to be completed within a reasonable time. The traditional method of generating IC/BC by profile data has lost its advocates due to the weakness of the limited horizontal and vertical variations found on the gridded boundary layers. Theoretically, high quality GCTM IC/BC should yield a better result in CMAQ. Unfortunately, several researchers have found that the outputs from GCTM IC/BC are not necessarily better than profile IC/BC due to the excessive transport of O3 aloft in GCTM IC/BC. In this paper, we intend to investigate the effects of using profile IC/BC and global atmospheric model data. In addition, we are suggesting a novel approach to resolve the existing issue in downscaling. In the study, we utilized the GEOS-Chem model outputs to generate time-varied and layer-varied IC/BC for year 2002 with the implementation of tropopause determining algorithm in the downscaling process (i.e., based on chemical (O3) tropopause definition). The comparison between the implemented tropopause approach and the profile IC/BC approach is performed to demonstrate improvement of considering tropopause. It is observed that without using tropopause information in the downscaling process, unrealistic O3 concentrations are created at the upper layers of IC/BC. This phenomenon has caused over-prediction of surface O3 in CMAQ. In addition, the amount of over-prediction is greatly affected by temperature and latitudinal location of the study domain. With the implementation of the algorithm, we have successfully resolved the incompatibility issues in the vertical layer structure between global and regional chemistry models to yield better surface O3 predictions than profile IC/BC for both summer and winter conditions. At the same time, it improved the vertical O3 distribution of CMAQ outputs. It is strongly recommended that the tropopause information should be incorporated into any two-way coupled global and regional models, where the tropospheric regional model is used, to solve the vertical incompatibility that exists between global and regional models.
Persistent Identifierhttp://hdl.handle.net/10722/276849
ISSN
2023 Impact Factor: 5.2
2023 SCImago Journal Rankings: 2.138
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLam, Y. F.-
dc.contributor.authorFu, J. S.-
dc.date.accessioned2019-09-18T08:34:50Z-
dc.date.available2019-09-18T08:34:50Z-
dc.date.issued2009-
dc.identifier.citationAtmospheric Chemistry and Physics, 2009, v. 9, n. 23, p. 9169-9185-
dc.identifier.issn1680-7316-
dc.identifier.urihttp://hdl.handle.net/10722/276849-
dc.description.abstractRecently, downscaling global atmospheric model outputs (GCTM) for the USEPA Community Multiscale Air Quality (CMAQ) Initial (IC) and Boundary Conditions (BC) have become practical because of the rapid growth of computational technologies that allow global simulations to be completed within a reasonable time. The traditional method of generating IC/BC by profile data has lost its advocates due to the weakness of the limited horizontal and vertical variations found on the gridded boundary layers. Theoretically, high quality GCTM IC/BC should yield a better result in CMAQ. Unfortunately, several researchers have found that the outputs from GCTM IC/BC are not necessarily better than profile IC/BC due to the excessive transport of O3 aloft in GCTM IC/BC. In this paper, we intend to investigate the effects of using profile IC/BC and global atmospheric model data. In addition, we are suggesting a novel approach to resolve the existing issue in downscaling. In the study, we utilized the GEOS-Chem model outputs to generate time-varied and layer-varied IC/BC for year 2002 with the implementation of tropopause determining algorithm in the downscaling process (i.e., based on chemical (O3) tropopause definition). The comparison between the implemented tropopause approach and the profile IC/BC approach is performed to demonstrate improvement of considering tropopause. It is observed that without using tropopause information in the downscaling process, unrealistic O3 concentrations are created at the upper layers of IC/BC. This phenomenon has caused over-prediction of surface O3 in CMAQ. In addition, the amount of over-prediction is greatly affected by temperature and latitudinal location of the study domain. With the implementation of the algorithm, we have successfully resolved the incompatibility issues in the vertical layer structure between global and regional chemistry models to yield better surface O3 predictions than profile IC/BC for both summer and winter conditions. At the same time, it improved the vertical O3 distribution of CMAQ outputs. It is strongly recommended that the tropopause information should be incorporated into any two-way coupled global and regional models, where the tropospheric regional model is used, to solve the vertical incompatibility that exists between global and regional models.-
dc.languageeng-
dc.relation.ispartofAtmospheric Chemistry and Physics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleA novel downscaling technique for the linkage of global and regional air quality modeling-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5194/acp-9-9169-2009-
dc.identifier.scopuseid_2-s2.0-71849106329-
dc.identifier.volume9-
dc.identifier.issue23-
dc.identifier.spage9169-
dc.identifier.epage9185-
dc.identifier.eissn1680-7324-
dc.identifier.isiWOS:000272689600006-
dc.identifier.issnl1680-7316-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats