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A Multifidelity Framework and Uncertainty Quantification for Sea Surface Temperature in the Massachusetts and Cape Cod Bays

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2014jc010492openalex-snapshot
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Reconstructing Aragonite Saturation State Based on an Empirical Relationship for Northern California
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Group for High Resolution Sea Surface Temperature (GHRSST) analysis fields inter-comparisons—Part 2: Near real time web-based level 4 SST Quality Monitor (L4-SQUAM)
inferredcites →https://doi.org/10.1016/j.jcp.2019.01.045openalex-snapshot
Neural-net-induced Gaussian process regression for function approximation and PDE solution
inferredcites →https://doi.org/10.1016/j.jmarsys.2013.12.002openalex-snapshot
Mechanism studies of seasonal variability of dissolved oxygen in Mass Bay: A multi-scale FVCOM/UG-RCA application
inferredcites →https://doi.org/10.1016/j.marchem.2004.12.006openalex-snapshot
High-resolution measurements of chromophoric dissolved organic matter (CDOM) in the Neponset River Estuary, Boston Harbor, MA
inferredcites →https://doi.org/10.1016/j.pocean.2015.06.007openalex-snapshot
Seasonal sea surface temperature anomaly prediction for coastal ecosystems
inferredcites →https://doi.org/10.1016/j.pocean.2016.12.011openalex-snapshot
Managing living marine resources in a dynamic environment: The role of seasonal to decadal climate forecasts
inferredcites →https://doi.org/10.1016/j.rse.2013.03.021openalex-snapshot
Blending multi-resolution satellite sea surface temperature (SST) products using Bayesian maximum entropy method
inferredcites →https://doi.org/10.1016/j.rse.2017.07.029openalex-snapshot
A multi-scale high-resolution analysis of global sea surface temperature
inferredcites →https://doi.org/10.1017/jfm.2016.718openalex-snapshot
Multi-fidelity modelling of mixed convection based on experimental correlations and numerical simulations
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A novel method for determination of aragonite saturation state on the continental shelf of central Oregon using multi‐parameter relationships with hydrographic data
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EOF‐based constrained sensor placement and field reconstruction from noisy ocean measurements: Application to Nantucket Sound
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Robust empirical relationships for estimating the carbonate system in the southern California Current System and application to CalCOFI hydrographic cruise data (2005–2011)
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Predicting the output from a complex computer code when fast approximations are available
inferredcites →https://doi.org/10.1098/rspa.2007.1900openalex-snapshot
Multi-fidelity optimization via surrogate modelling
inferredcites →https://doi.org/10.1098/rspa.2016.0751openalex-snapshot
Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
inferredcites →https://doi.org/10.1109/icdamt.2017.7904928openalex-snapshot
Sea Surface Temperature estimation from satellite observations and in-situ measurements using multifidelity Gaussian Process regression
inferredcites →https://doi.org/10.1109/icif.2010.5711863openalex-snapshot
An introduction to Gaussian processes for the Kalman filter expert
inferredcites →https://doi.org/10.1126/science.aac9819openalex-snapshot
Slow adaptation in the face of rapid warming leads to collapse of the Gulf of Maine cod fishery
inferredcites →https://doi.org/10.1139/cjfas-2013-0094openalex-snapshot
American lobster dynamics in a brave new ocean
inferredcites →https://doi.org/10.1175/1520-0442(1996)009<1403:rohsst>2.0.co;2openalex-snapshot
Reconstruction of Historical Sea Surface Temperatures Using Empirical Orthogonal Functions
inferredcites →https://doi.org/10.1175/2007jtecho558.1openalex-snapshot
Representation Error of Oceanic Observations for Data Assimilation
inferredcites →https://doi.org/10.1175/jtech-d-17-0116.1openalex-snapshot
Fusion of Multisensor SSTs Based on the Spatiotemporal Hierarchical Bayesian Model
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The interaction between model resolution, observation resolution and observation density in data assimilation: A one‐dimensional study
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Generalized ocean color inversion model for retrieving marine inherent optical properties
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A Vulnerability Assessment of Fish and Invertebrates to Climate Change on the Northeast U.S. Continental Shelf
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Atmospheric data analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Quality measures for the evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems
inferred← citeshttps://doi.org/10.1016/j.cma.2024.117666openalex-snapshot
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Multi-fidelity Bayesian neural networks: Algorithms and applications
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Multifidelity deep operator networks for data-driven and physics-informed problems
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Machine learning framework for the real-time reconstruction of regional 4D ocean temperature fields from historical reanalysis data and real-time satellite and buoy surface measurements
inferred← citeshttps://doi.org/10.1016/j.probengmech.2024.103672openalex-snapshot
Multi-fidelity wavelet neural operator surrogate model for time-independent and time-dependent reliability analysis
inferred← citeshttps://doi.org/10.1029/2024jg008465openalex-snapshot
Data‐Driven Modeling of 4D Ocean and Coastal Acidification in the Massachusetts and Cape Cod Bays From Surface Measurements
inferred← citeshttps://doi.org/10.1038/s41598-025-27812-1openalex-snapshot
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Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging
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NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators
inferred← citeshttps://doi.org/10.1575/1912/29644openalex-snapshot
Perceive, predict, and plan: robotic expeditionary science in oceanic spatiotemporal fields
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Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams
inferred← citeshttps://doi.org/10.48550/arxiv.2108.11498openalex-snapshot
Physics-informed neural networks for improving cerebral hemodynamics predictions
inferred← citeshttps://doi.org/10.4995/thesis/10251/187990openalex-snapshot
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Multi-fidelity surrogate modeling adapted to functional outputs for uncertainty quantification of complex models
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