Reference:Reference-015175: Difference between revisions

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|MS_PublicationClusterID=3198454115
|MS_PublicationClusterID=3198454115
|Semantic_ID=f0833511ce9fba77dcc351fa8097bd7456e464ba
|Semantic_ID=f0833511ce9fba77dcc351fa8097bd7456e464ba
|CorpusID=0
|PublicationWhatKindOf=a module application description
|PublicationWhatKindOf=a module application description
|PublicationNrofModels=a single module
|PublicationNrofModels=a single module

Latest revision as of 16:45, 9 October 2024



Author(s) Wang, Junhua; Ge, Baozhu; Chen, Xueshun; Li, Jie; Lu, Keding; Dong, Yayuan; Kong, Lei; Wang, Zifa; Zhang, Yuanhang;
BibType report
Title A quantitative decoupling analysis (QDA v1.0) method for the assessment of meteorological, emission and chemical contributions to fine particulate pollution
Editors
Year 2021-09-01
Journal
Booktitle
Volume
Pages
URL https://gmd.copernicus.org/preprints/gmd-2021-259/
DOI 10.5194/gmd-2021-259
ISBN
Note Auto downloaded ref at: 2021-10-01


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 3198454115
Semantic_ID f0833511ce9fba77dcc351fa8097bd7456e464ba
Nr of citations 0
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: WRF