Reference:Reference-038205
From CSDMS
Publication information
| Author(s) | Feng, Rui; Zheng, Hui-jun; Zhang, An-ran; Huang, Chong; Gao, Han; Ma, Yu-cheng; |
| BibType | journalArticle |
| Title | Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China |
| Year | 2019-09 |
| Journal | Environmental Pollution |
| Volume | 252 |
| Pages | 366–378 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0269749118356409 |
| DOI | 10.1016/j.envpol.2019.05.101 |
| Note | Auto downloaded ref at: 2026-06-12 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| closed | 2026-10-15 |
Download locations
No results
Additional information
| |
||
| Highlighted paper on group site | ||
| Highlight text | ||
| Highlight image | ||
| Which groups | ||
| Feature reference | No | |
| Semantic_ID | 93d9d6225bcc3d06183d2f9d37151bd5d2af8d2c | |
| Nr of citations | 56 | |
| 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
|
