Reference:Reference-015175: Difference between revisions
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| | |Firstname=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 | |||
|Year=2021-09-01 | |||
|Journal= | |||
|Booktitle= | |||
|Volume= | |||
|Pages= | |||
|URL=https://gmd.copernicus.org/preprints/gmd-2021-259/ | |||
|DOI=10.5194/gmd-2021-259 | |||
|Note=Auto downloaded ref at: 2021-10-01 | |||
}} | }} | ||
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|MS_PublicationClusterID=3198454115 | |MS_PublicationClusterID=3198454115 | ||
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{{RefsInt2 | {{RefsInt2 | ||
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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 |
