Reference:Reference-024883: Difference between revisions
From CSDMS
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{{ | {{BibEntryCargo | ||
|Firstname=Keller, David L.; | |||
|BibType=report | |BibType=report | ||
|Title=Using the Random Nearest Neighbor Data Mining Method to Extract Maximum Information Content from Weather Forecasts from Multiple Predictors of Weather and One Predictand (Low-Level Turbulence): | |Title=Using the Random Nearest Neighbor Data Mining Method to Extract Maximum Information Content from Weather Forecasts from Multiple Predictors of Weather and One Predictand (Low-Level Turbulence): | ||
|Year=2014-10-30 | |Year=2014-10-30 | ||
|Journal= | |Journal= | ||
|Booktitle= | |Booktitle= | ||
|Volume= | |Volume= | ||
|Pages= | |Pages= | ||
|URL=http://www.dtic.mil/docs/citations/ADA613335 | |URL=http://www.dtic.mil/docs/citations/ADA613335 | ||
|DOI= | |DOI= | ||
|Note=Auto downloaded ref at: 2024-09-04 | |Note=Auto downloaded ref at: 2024-09-04 | ||
}} | }} | ||
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|CorpusID=127747804 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
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Latest revision as of 11:53, 12 November 2024
| Author(s) | Keller, David L.; |
| BibType | report |
| Title | Using the Random Nearest Neighbor Data Mining Method to Extract Maximum Information Content from Weather Forecasts from Multiple Predictors of Weather and One Predictand (Low-Level Turbulence): |
| Editors | |
| Year | 2014-10-30 |
| Journal | |
| Booktitle | |
| Volume | |
| Pages | |
| URL | http://www.dtic.mil/docs/citations/ADA613335 |
| DOI | |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-04
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 25ff7a3f42133ed3c47be1e892705cdb6dfc56d8 |
| 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
|
