Uncertainty Calibration of Passive Microwave Brightness Temperatures Predicted by Bayesian Deep Learning ModelsSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004Author:Ortiz, Pedro
,
Casas, Eleanor
,
Orescanin, Marko
,
Powell, Scott W.
,
Petkovic, Veljko
,
Hall, Micky
DOI: 10.1175/AIES-D-22-0056.1Publisher: American Meteorological Society
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| contributor author | Ortiz, Pedro | |
| contributor author | Casas, Eleanor | |
| contributor author | Orescanin, Marko | |
| contributor author | Powell, Scott W. | |
| contributor author | Petkovic, Veljko | |
| contributor author | Hall, Micky | |
| date accessioned | 2024-12-24T14:56:03Z | |
| date available | 2024-12-24T14:56:03Z | |
| date copyright | 01 Oct. 2023 | |
| date issued | 2023 | |
| identifier other | aies-AIES-D-22-0056.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301555 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Uncertainty Calibration of Passive Microwave Brightness Temperatures Predicted by Bayesian Deep Learning Models | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 4 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0056.1 | |
| journal lastpage | e220056 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004 | |
| contenttype | Fulltext |