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Application of Bayesian Model Averaging in the Simulation of Seafloor Water Temperatures in the Gulf of Maine
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Mingchao GAO, Shuai YANG, Ning ZHANG, Yongming ZHANG
Science Technology and Industry | 2025, 25(8) : 60 - 63
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Science Technology and Industry | 2025, 25(8): 60-63
Technology Innovation
Application of Bayesian Model Averaging in the Simulation of Seafloor Water Temperatures in the Gulf of Maine
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Mingchao GAO, Shuai YANG, Ning ZHANG, Yongming ZHANG
Affiliations
  • Jinan Geotechnical Investigation and Surveying Institute, Jinan 250101, China
Published: 2025-04-25
Outline
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Coastal ocean circulation models have improved dramatically in recent decades, but it is still difficult to obtain sufficient data to constrain and validate simulations. National Oceanic and Atmospheric Administration, hereinafter referred to as NOAA, in cooperation with local fishing vessels, provides a low-cost data observing system that has produced a large number of hourly bottom temperature datasets over a wide area of the US Northeast Continental Shelf over a wide area, generating a large number of hourly bottom temperature datasets. In order to provide a better validation of the coastal ocean circulation model and to help fishermen have a better understanding of the fishing conditions, three existing ocean models were combined and the hourly real-time bottom temperature data was used as a reference to visualize the data from each ocean model and the data from multiple ocean models after Bayesian model averaging, which revealed that the performance of the Bayesian combined model was better. The Bayesian combination model is found to perform better.

ocean modeling  /  Bayesian model averaging  /  ocean bottom temperature data
Mingchao GAO, Shuai YANG, Ning ZHANG, Yongming ZHANG. Application of Bayesian Model Averaging in the Simulation of Seafloor Water Temperatures in the Gulf of Maine[J]. Science Technology and Industry, 2025 , 25 (8) : 60 -63 .
Year 2025 volume 25 Issue 8
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  • Receive Date:2024-08-21
  • Online Date:2025-07-19
  • Published:2025-04-25
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  • Received:2024-08-21
Affiliations
    Jinan Geotechnical Investigation and Surveying Institute, Jinan 250101, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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