Global High-Resolution Random Forest Regression Maps of Ocean Heat Content Anomalies Using In Situ and Satellite DataSource: Journal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 005DOI: 10.1175/JTECH-D-22-0058.1Publisher: American Meteorological Society
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| contributor author | Lyman, John M. | |
| contributor author | Johnson, Gregory C. | |
| date accessioned | 2023-08-15T10:59:15Z | |
| date available | 2023-08-15T10:59:15Z | |
| date copyright | 01 May. 2023 | |
| date issued | 2023 | |
| identifier other | JTECH-D-22-0058.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4291115 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Global High-Resolution Random Forest Regression Maps of Ocean Heat Content Anomalies Using In Situ and Satellite Data | |
| type | Journal Paper | |
| journal volume | 40 | |
| journal issue | 5 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/JTECH-D-22-0058.1 | |
| page | 586-575 | |
| tree | Journal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 005 | |
| contenttype | Fulltext |