Improving Confidence in Model-Based Probable Maximum Precipitation: How Important is Model Uncertainty in Storm Reconstruction and Maximization?Source: Journal of Hydrometeorology:;2023:;volume( 024 ):;issue: 002DOI: 10.1175/JHM-D-22-0044.1Publisher: American Meteorological Society
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| contributor author | Tarouilly, Emilie | |
| contributor author | Cannon, Forest | |
| contributor author | Lettenmaier, Dennis P. | |
| date accessioned | 2023-08-15T10:56:25Z | |
| date available | 2023-08-15T10:56:25Z | |
| date copyright | 01 Feb. 2023 | |
| date issued | 2023 | |
| identifier other | JHM-D-22-0044.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4291036 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Improving Confidence in Model-Based Probable Maximum Precipitation: How Important is Model Uncertainty in Storm Reconstruction and Maximization? | |
| type | Journal Paper | |
| journal volume | 24 | |
| journal issue | 2 | |
| journal title | Journal of Hydrometeorology | |
| identifier doi | 10.1175/JHM-D-22-0044.1 | |
| page | 267-257 | |
| tree | Journal of Hydrometeorology:;2023:;volume( 024 ):;issue: 002 | |
| contenttype | Fulltext |