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Assimilation of machine‐learning‐predicted nitrate to improve the quality of phytoplankton forecasting in the shelf‐sea environment

https://doi.org/10.1002/qj.70156
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What this work says

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

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EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates
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Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem
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Sensitivity and uncertainty analysis of model hypoxia estimates for the Texas‐Louisiana shelf
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Evaluation of the ECMWF ocean reanalysis system ORAS4
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Implementing a variational data assimilation system in an operational 1/4 degree global ocean model
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Validating and improving the uncertainty assumptions for the assimilation of ocean‐colour‐derived chlorophyll a into a marine biogeochemistry model of the Northwest European Shelf Seas
inferredcites →https://doi.org/10.1007/s10994-021-05946-3openalex-snapshot
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
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The European regional seas ecosystem model, a complex marine ecosystem model
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Inter-annual variability in the timing of stratification and the spring bloom in the North-western North Sea
inferredcites →https://doi.org/10.1016/j.envsoft.2014.04.002openalex-snapshot
A general framework for aquatic biogeochemical models
inferredcites →https://doi.org/10.1016/j.jmarsys.2008.08.003openalex-snapshot
On the key role of nutrient data to constrain a coupled physical–biogeochemical assimilative model of the North Atlantic Ocean
inferredcites →https://doi.org/10.1016/j.jmarsys.2009.12.014openalex-snapshot
Predicting the consequences of nutrient reduction on the eutrophication status of the North Sea
inferredcites →https://doi.org/10.1016/j.jmarsys.2012.04.006openalex-snapshot
The carbonate system in the North Sea: Sensitivity and model validation
inferredcites →https://doi.org/10.1016/j.marpolbul.2015.06.021openalex-snapshot
Seasonal oxygen depletion in the North Sea, a review
inferredcites →https://doi.org/10.1016/j.ocemod.2013.02.001openalex-snapshot
An analytical stretching function that combines the best attributes of geopotential and terrain-following vertical coordinates
inferredcites →https://doi.org/10.1016/j.ocemod.2018.07.004openalex-snapshot
Improving the initialisation of the Met Office operational shelf-seas model
inferredcites →https://doi.org/10.1016/j.ocemod.2022.101976openalex-snapshot
The impact of ocean biogeochemistry on physics and its consequences for modelling shelf seas
inferredcites →https://doi.org/10.1016/j.ocemod.2024.102491openalex-snapshot
Neural emulator based on physical fields for accelerating the simulation of surface chlorophyll in an Earth System Model
inferredcites →https://doi.org/10.1016/j.pocean.2024.103249openalex-snapshot
How uncertain and observable are marine ecosystem indicators in shelf seas?
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.165690openalex-snapshot
Estimation of sea surface nitrate from space: Current status and future potential
inferredcites →https://doi.org/10.1016/s0967-0637(00)00019-4openalex-snapshot
Physical and biological modeling in the Gulf Stream region:
inferredcites →https://doi.org/10.1016/s1385-1101(97)00044-0openalex-snapshot
An analysis of benthic biological dynamics in a North Sea ecosystem model
inferredcites →https://doi.org/10.1016/s1385-1101(97)00052-xopenalex-snapshot
Microbial dynamics in the marine ecosystem model ERSEM II with decoupled carbon assimilation and nutrient uptake
inferredcites →https://doi.org/10.1029/2018jc014153openalex-snapshot
The Assimilation of Phytoplankton Functional Types for Operational Forecasting in the Northwest European Shelf
inferredcites →https://doi.org/10.1029/2020jc016122openalex-snapshot
Improved Representation of Underwater Light Field and Its Impact on Ecosystem Dynamics: A Study in the North Sea
inferredcites →https://doi.org/10.1029/2020jc016649openalex-snapshot
Towards a Multi‐Platform Assimilative System for North Sea Biogeochemistry
inferredcites →https://doi.org/10.1029/jc083ic09p04615openalex-snapshot
Tidal fronts on the shelf seas around the British Isles
inferredcites →https://doi.org/10.1038/nature01017openalex-snapshot
Towards sustainability in world fisheries
inferredcites →https://doi.org/10.1073/pnas.2101784118openalex-snapshot
Machine learning–accelerated computational fluid dynamics
inferredcites →https://doi.org/10.1080/00785236.1995.10422043openalex-snapshot
Sediment-water fluxes of inorganic nitrogen compounds along the transport route of organic matter in the North Sea
inferredcites →https://doi.org/10.1080/1755876x.2010.11020109openalex-snapshot
Forecasting the ocean state using NEMO:The new FOAM system
inferredcites →https://doi.org/10.1088/1748-9326/ac0eb0openalex-snapshot
Bridging observations, theory and numerical simulation of the ocean using machine learning
inferredcites →https://doi.org/10.1093/plankt/fbi064openalex-snapshot
Primary production in the deep chlorophyll maximum of the central North Sea
inferredcites →https://doi.org/10.1093/plankt/fbq021openalex-snapshot
The L4 time-series: the first 20 years
inferredcites →https://doi.org/10.1109/jas.2023.123537openalex-snapshot
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
inferredcites →https://doi.org/10.1111/gcb.13916openalex-snapshot
A decline in primary production in the North Sea over 25 years, associated with reductions in zooplankton abundance and fish stock recruitment
inferredcites →https://doi.org/10.1175/1520-0493(1996)124<1256:dauiau>2.0.co;2openalex-snapshot
Data Assimilation Using Incremental Analysis Updates
inferredcites →https://doi.org/10.1256/qj.05.108openalex-snapshot
Diagnosis of observation, background and analysis‐error statistics in observation space
inferredcites →https://doi.org/10.3354/meps148187openalex-snapshot
Dynamic model of phytoplankton growth and acclimation:responses of the balanced growth rate and the chlorophyll a:carbon ratio to light, nutrient-limitation and temperature
inferredcites →https://doi.org/10.3389/fmars.2017.00128openalex-snapshot
Estimates of Water-Column Nutrient Concentrations and Carbonate System Parameters in the Global Ocean: A Novel Approach Based on Neural Networks
inferredcites →https://doi.org/10.3389/fmars.2019.00089openalex-snapshot
Advancing Marine Biogeochemical and Ecosystem Reanalyses and Forecasts as Tools for Monitoring and Managing Ecosystem Health
inferredcites →https://doi.org/10.3389/fmars.2020.00143openalex-snapshot
Carbon on the Northwest European Shelf: Contemporary Budget and Future Influences
inferredcites →https://doi.org/10.3389/fmars.2021.746327openalex-snapshot
Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas
inferredcites →https://doi.org/10.3389/fmars.2022.1067174openalex-snapshot
A solution for autonomous, adaptive monitoring of coastal ocean ecosystems: Integrating ocean robots and operational forecasts
inferredcites →https://doi.org/10.3389/fmars.2023.1058837openalex-snapshot
Future digital twins: emulating a highly complex marine biogeochemical model with machine learning to predict hypoxia
inferredcites →https://doi.org/10.3389/focsu.2023.1253923openalex-snapshot
A first ecological coherent assessment of eutrophication across the North-East Atlantic waters (2015–2020)
inferredcites →https://doi.org/10.3390/s19194285openalex-snapshot
An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI)
inferredcites →https://doi.org/10.5194/bg-14-1647-2017openalex-snapshot
Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling
inferredcites →https://doi.org/10.5194/bg-18-509-2021openalex-snapshot
Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design
inferredcites →https://doi.org/10.5194/bg-19-2417-2022openalex-snapshot
The onset of the spring phytoplankton bloom in the coastal North Sea supports the Disturbance Recovery Hypothesis
inferredcites →https://doi.org/10.5194/bg-22-3769-2025openalex-snapshot
Improved understanding of nitrate trends, eutrophication indicators, and risk areas using machine learning
inferredcites →https://doi.org/10.5194/gmd-10-2947-2017openalex-snapshot
The CO5 configuration of the 7 km Atlantic Margin Model: large-scale biases and sensitivity to forcing, physics options and vertical resolution
inferredcites →https://doi.org/10.5194/gmd-9-1293-2016openalex-snapshot
ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels
inferredcites →https://doi.org/10.5194/os-15-1133-2019openalex-snapshot
The impact of a new high-resolution ocean model on the Met Office North-West European Shelf forecasting system
inferredcites →https://doi.org/10.5194/os-20-689-2024openalex-snapshot
Combining neural networks and data assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model
inferredcites →https://doi.org/10.5194/os-8-983-2012openalex-snapshot
Validation of the NEMO-ERSEM operational ecosystem model for the North West European Continental Shelf

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inferred← extendshttps://doi.org/10.5281/zenodo.19695959zenodo-depositor-declared
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