Reference:Reference-014623: Difference between revisions
From CSDMS
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|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=3150302189 | |MS_PublicationClusterID=3150302189 | ||
|Semantic_ID=69622e509e4860a343509a88b73100d5558df05b | |Semantic_ID=69622e509e4860a343509a88b73100d5558df05b |CorpusID=233601834 |CorpusID=233601834 | ||
|CorpusID=233601834 | |||
|CorpusID=233601834 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
Latest revision as of 09:56, 8 October 2024
| Author(s) | Vellalassery, Ashique; Pillai, Dhanyalekshmi; Marshall, Julia; Gerbig, Christoph; Buchwitz, Michael; Schneising, Oliver; Ravi, Aparnna; |
| BibType | journalArticle |
| Title | Using TROPOspheric Monitoring Instrument (TROPOMI) measurements and Weather Research and Forecasting (WRF) CO modelling to understand the contribution of meteorology and emissions to an extreme air pollution event in India |
| Editors | |
| Year | 2021-04-08 |
| Journal | Atmospheric Chemistry and Physics |
| Booktitle | |
| Volume | 21 |
| Pages | 5393–5414 |
| URL | https://acp.copernicus.org/articles/21/5393/2021/ |
| DOI | 10.5194/acp-21-5393-2021 |
| ISBN | |
| Note | Auto downloaded ref at: 2021-04-24
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 3150302189 |
| Semantic_ID | 69622e509e4860a343509a88b73100d5558df05b |
| Nr of citations | 11 |
| 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: |
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| Model(s) discussed: | WRF |
