Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone–Driven Storm Tides and InundationSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002DOI: 10.1175/AIES-D-22-0040.1Publisher: American Meteorological Society
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| contributor author | Pringle, William J. | |
| contributor author | Burnett, Zachary | |
| contributor author | Sargsyan, Khachik | |
| contributor author | Moghimi, Saeed | |
| contributor author | Myers, Edward | |
| date accessioned | 2023-08-15T10:37:31Z | |
| date available | 2023-08-15T10:37:31Z | |
| date copyright | 01 Apr. 2023 | |
| date issued | 2023 | |
| identifier other | AIES-D-22-0040.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290705 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone–Driven Storm Tides and Inundation | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 2 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0040.1 | |
| page | e220040 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002 | |
| contenttype | Fulltext |