Search Results

Meteorological data rescue: citizen science lessons learned from Southern Weather Discovery

by Lorrey, Andrew M., Pearce, Petra R., Allan, Rob, Wilkinson, Clive, Woolley, John-Mark, Judd, Emily, Mackay, Stuart, Rawhat, Sudhir, Slivinski, Laura, Wilkinson, Sally, Hawkins, Ed, Quesnel, Patrick, Compo, Gilbert P.
Published in Patterns (2022)

Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery

by Andrew M. Lorrey, Petra R. Pearce, Rob Allan, Clive Wilkinson, John-Mark Woolley, Emily Judd, Stuart Mackay, Sudhir Rawhat, Laura Slivinski, Sally Wilkinson, Ed Hawkins, Patrick Quesnel, Gilbert P. Compo
Published in Patterns (2022)

A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage

by Varvara E. Zemskova, Tai-Long He, Zirui Wan, Nicolas Grisouard
Published in Nature Communications (2022)

A Promising Approach to Quantifying Pteropod Eggs Using Image Analysis and Machine Learning

by Weldrick, Christine K.
Published in Frontiers in Marine Science (2022)

Iceberg drift and melting rates in the northwestern Weddell Sea, Antarctica: Novel automated regional estimates through machine learning

by MAURO M. BARBAT, MAURICIO M. MATA
Published in Anais da Academia Brasileira de Ciências (2022)

Engaging ‘the crowd’ in remote sensing to learn about habitat affinity of the Weddell seal in Antarctica

by Michelle A. LaRue, David G. Ainley, Jean Pennycook, Kostas Stamatiou, Leo Salas, Nadav Nur, Sharon Stammerjohn, Luke Barrington
Published in Remote Sensing in Ecology and Conservation (2020)

Quantifying calcium carbonate and organic carbon content in marine sediments from XRF-scanning spectra with a machine learning approach

by An-Sheng Lee, Weng-Si Chao, Sofia Ya Hsuan Liou, Ralf Tiedemann, Bernd Zolitschka, Lester Lembke-Jene
Published in Scientific Reports (2022)

A Promising Approach to Quantifying Pteropod Eggs Using Image Analysis and Machine Learning

by Christine K. Weldrick
Published in Frontiers in Marine Science (2022)

Combining Regional Habitat Selection Models for Large-Scale Prediction: Circumpolar Habitat Selection of Southern Ocean Humpback Whales

by Ryan R. Reisinger, Ari S. Friedlaender, Alexandre N. Zerbini, Daniel M. Palacios, Virginia Andrews-Goff, Luciano Dalla Rosa, Mike Double, Ken Findlay, Claire Garrigue, Jason How, Curt Jenner, Micheline-Nicole Jenner, Bruce Mate, Howard C. Rosenbaum, S. Mduduzi Seakamela, Rochelle Constantine
Published in Remote Sensing (2021)

The Southern Ocean supergyre: a unifying dynamical framework identified by machine learning ...

by Sonnewald, Maike, Reeve, Krissy A., Lguensat, Redouane
Published 2023

The Southern Ocean supergyre: a unifying dynamical framework identified by machine learning ...

by Sonnewald, Maike, Reeve, Krissy A., Lguensat, Redouane
Published 2023

Using machine learning to alleviate the allometric effect in otolith shape-based species discrimination: the role of a triplet loss function

by Chen, Yuwen, Zhu, Guoping
Published in ICES Journal of Marine Science (2023)

A promising approach to quantifying pteropod eggs using image analysis and machine learning

by Weldrick, CK
Published in Frontiers in Marine Science (2022)

SealNet 2.0: Human-Level Fully-Automated Pack-Ice Seal Detection in Very-High-Resolution Satellite Imagery with CNN Model Ensembles

by Bento C. Gonçalves, Michael Wethington, Heather J. Lynch
Published in Remote Sensing (2022)

Phytoplankton and light limitation in the Southern Ocean: Learning from high-nutrient high-chlorophyll areas

by Venables, Hugh, Moore, C. Mark
Published in Journal of Geophysical Research (2010)

Deep learning-based diatom taxonomy on virtual slides

by Kloster, Michael, Langenkämper, Daniel, Zurowietz, Martin, Beszteri, Bánk, Nattkemper, Tim W.
Published in Scientific Reports (2020)

Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning ...

by Yik, William, Sonnewald, Maike, Clare, Mariana C. A., Lguensat, Redouane
Published 2023

Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions

by Sonnewald, Maike, Wunsch, Carl, Heimbach, Patrick
Published in Earth and Space Science (2022)

Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions

by Sonnewald, Maike, Wunsch, Carl, Heimbach, Patrick
Published 2022

Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions

by Maike Sonnewald, Carl Wunsch, Patrick Heimbach
Published in Earth and Space Science (2019)