FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312467045> ?p ?o ?g. }

• W4312467045 endingPage "109557" @default.
• W4312467045 startingPage "109544" @default.
• W4312467045 abstract "Ocean heat content (OHC) is an essential parameter to assess Earth’s energy imbalance, global warming, and climate change over the historical record. An accurate estimate of the OHC in the Arctic sea ice regions is challenging due to the lack of in-situ data and satellite-based algorithms. In this study, an artificial neural network-based (ANN) novel approach is presented for estimating OHC changes at various standard depth extents (by World Ocean Atlas) in the Arctic sea ice regions based on the relationships of the sea ice thermodynamic parameters from the satellite measurements and in-situ OHC estimates. Because of the potential uncertainty that arises from the inaccessible near-surface oceanic layer in the in-situ OHC estimates, a preliminary ANN model was developed with a set of approximations to account for the in-situ OHC stored in the respective depths within the inaccessible near-surface oceanic layer. The ANN model architecture was optimized for a depth extent of 700 m and adopted for the remaining depths of 20 m, 30 m, 40 m, 50 m, 100 m, 150 m, 200 m, 250 m, 300 m, 350 m, 400 m, 450 m, 500 m, 550 m, 600 m, and 650 m. The new model was robust in capturing the spatial, temporal, and depth variabilities of OHC in the sea ice-covered Arctic regions with greater accuracy (mean bias error 0.022 GJ m <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-2</sup> , mean bias percentage error 0.015%, mean absolute error 0.182 GJ m <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-2</sup> , mean absolute percentage error 0.148%, root mean square error 0.24 GJ m <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-2</sup> , R <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> 0.94, slope 0.93, and intercept 25.05 GJ m <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>-2</sup> ). This model is capable of estimating OHC and its temporal trends from satellite data which will have implications for understanding the global climate change and its impacts in the Polar Oceans." @default.
• W4312467045 created "2023-01-04" @default.
• W4312467045 creator A5000075828 @default.
• W4312467045 creator A5058341706 @default.
• W4312467045 date "2022-01-01" @default.
• W4312467045 modified "2023-09-27" @default.
• W4312467045 title "Artificial Neural Network Model for Estimating Ocean Heat Content in the Sea Ice-Covered Arctic Regions Using Satellite Data" @default.
• W4312467045 doi "https://doi.org/10.1109/access.2022.3213942" @default.
• W4312467045 hasPublicationYear "2022" @default.
• W4312467045 type Work @default.
• W4312467045 citedByCount "0" @default.
• W4312467045 crossrefType "journal-article" @default.
• W4312467045 hasAuthorship W4312467045A5000075828 @default.
• W4312467045 hasAuthorship W4312467045A5058341706 @default.
• W4312467045 hasBestOaLocation W43124670451 @default.
• W4312467045 hasConcept C111368507 @default.
• W4312467045 hasConcept C127313418 @default.
• W4312467045 hasConcept C127413603 @default.
• W4312467045 hasConcept C136894858 @default.
• W4312467045 hasConcept C146978453 @default.
• W4312467045 hasConcept C149767477 @default.
• W4312467045 hasConcept C161798024 @default.
• W4312467045 hasConcept C19269812 @default.
• W4312467045 hasConcept C194520297 @default.
• W4312467045 hasConcept C39432304 @default.
• W4312467045 hasConcept C49204034 @default.
• W4312467045 hasConcept C518008717 @default.
• W4312467045 hasConcept C62649853 @default.
• W4312467045 hasConceptScore W4312467045C111368507 @default.
• W4312467045 hasConceptScore W4312467045C127313418 @default.
• W4312467045 hasConceptScore W4312467045C127413603 @default.
• W4312467045 hasConceptScore W4312467045C136894858 @default.
• W4312467045 hasConceptScore W4312467045C146978453 @default.
• W4312467045 hasConceptScore W4312467045C149767477 @default.
• W4312467045 hasConceptScore W4312467045C161798024 @default.
• W4312467045 hasConceptScore W4312467045C19269812 @default.
• W4312467045 hasConceptScore W4312467045C194520297 @default.
• W4312467045 hasConceptScore W4312467045C39432304 @default.
• W4312467045 hasConceptScore W4312467045C49204034 @default.
• W4312467045 hasConceptScore W4312467045C518008717 @default.
• W4312467045 hasConceptScore W4312467045C62649853 @default.
• W4312467045 hasLocation W43124670451 @default.
• W4312467045 hasOpenAccess W4312467045 @default.
• W4312467045 hasPrimaryLocation W43124670451 @default.
• W4312467045 hasRelatedWork W1968999372 @default.
• W4312467045 hasRelatedWork W2097024039 @default.
• W4312467045 hasRelatedWork W2173486762 @default.
• W4312467045 hasRelatedWork W2244369071 @default.
• W4312467045 hasRelatedWork W2768204598 @default.
• W4312467045 hasRelatedWork W2887544598 @default.
• W4312467045 hasRelatedWork W2972136846 @default.
• W4312467045 hasRelatedWork W3134792003 @default.
• W4312467045 hasRelatedWork W4221057659 @default.
• W4312467045 hasRelatedWork W4245967520 @default.
• W4312467045 hasVolume "10" @default.
• W4312467045 isParatext "false" @default.
• W4312467045 isRetracted "false" @default.
• W4312467045 workType "article" @default.