Search

Now showing items 1-8 of 8

A generic framework for individual-based modelling and physical-biological interaction.

Christensen, Asbjørn; Mariani, Patrizio; Payne, Mark R. (2018)

The increased availability of high-resolution ocean data globally has enabled more detailed analyses of physical-biological interactions and their consequences to the ecosystem. We present IBMlib, which is a versatile, ...

Benthic Terrain Modeler (BTM) 3.0, tools for understanding and classifying the benthic environment. [Sofware]

Walbridge, Shaun; Slocum, Noah; Pobuda, Marjean; Wright, Dawn J. (Esri, Redlands, CA, USA, 2018)

A full tutorial with sample data is included with this zip file within the 'tutorial' directory. This self-paced training module introduces the benthic terrain modeling concepts used in the BTM, and steps users through ...

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network.

Rubio, A.; Mader, J.; Corgnati, L.; Mantovani, C.; Griffa, A.; Novellino, A.; Quentin, C.; Wyatt, L.; Schulz-Stellenfleth, J.; Horstmann, J.; Lorente, P.; Zambianchi, E.; Hartnett, M.; Fernandes, C.; Zervakis, V.; Gorringe, P.; Melet, A.; Puillat, I. (2017)

High Frequency Radar (HFR) is a land-based remote sensing instrument offering a unique insight to coastal ocean variability, by providing synoptic, high frequency and high resolution data at the ocean atmosphere interface. ...

Leveraging Uncertainty Quantification to Design Ocean Climate Observing Systems.

Loose, Nora; Heimbach, Patrick (2021)

Ocean observations are expensive and difficult to collect. Designing effective ocean observing systems therefore warrants deliberate, quantitative strategies. We leverage adjoint modeling and Hessian uncertainty ...

Good Practice Guide for Underwater Noise Measurement.

Robinson, Stephen P.; Lepper, Paul A.; Hazelwood, Richard A. (National Measurement Office, Marine Scotland, The Crown Estate, Teddington, England, 2014)

This document provides guidance on best practice for in-situmeasurem ent of underwater sound, for processing the data, and for reporting the measurements using appropriate metrics . Measured noise levels are sometimes ...

Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean.

Moore, A.M.; Martin, M.J.; Akella, S.; Arango, H.G.; Balmaseda, M.; Bertino, L.; Ciavatta, S.; Cornuelle, B.; Cummings, J.; Frolov, S.; Lermusiaux, P.; Oddo, P.; Oke, P.R.; Storto, A.; Teruzzi, A.; Vidard, A.; Weaver, A.T. (2019)

Ocean data assimilation is increasingly recognized as crucial for the accuracy of realtime ocean prediction systems and historical re-analyses. The current status of ocean data assimilation in support of the operational ...

Intercomparison of Ocean Color Algorithms for Picophytoplankton Carbon in the Ocean.

Martínez-Vicente, Víctor; Evers-King, Hayley; Roy, Shovonlal; Kostadinov, Tihomir S.; Tarran, Glen A.; Graff, Jason R.; Brewin, Robert J. W.; Dall’Olmo, Giorgio; Jackson, Tom; Hickman, Anna E.; Röttgers, Rüdiger; Krasemann, Hajo; Marañón, Emilio; Platt, Trevor; Sathyendranath, Shubha (2017)

The differences among phytoplankton carbon (Cphy) predictions from six ocean color algorithms are investigated by comparison with in situ estimates of phytoplankton carbon. The common satellite data used as input for the ...

QWMN Good Modelling Practice Principles.

Jakeman, A. J.; El Sawah, S.; Cuddy, S.; Robson, B.; McIntyre, N.; Cook, F. (State of Queensland Department of Environment and Science, Queensland, Australia, 2018)

Best practice modelling reduces model uncertainties and quantitatively and qualitatively documents any uncertainties and assumptions for user transparency. Conversely, poor modelling practices contribute to uncertainties ...