Reference:Reference-037752
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Publication information
| Author(s) | Madaus, Luke; McDermott, Patrick; Hacker, Joshua; Pullen, Julie; |
| BibType | journalArticle |
| Title | Hyper-local, efficient extreme heat projection and analysis using machine learning to augment a hybrid dynamical-statistical downscaling technique |
| Year | 2020-06 |
| Journal | Urban Climate |
| Volume | 32 |
| Pages | 100606 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S2212095519301762 |
| DOI | 10.1016/j.uclim.2020.100606 |
| Note | Auto downloaded ref at: 2026-06-11 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| closed | 2026-10-15 |
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| Feature reference | No | |
| Semantic_ID | 54a3d57c2558899ac5b9ce74a1be50bc8a544b1c | |
| 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?: | ||
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| Model(s) discussed: | WRF
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