P. Nooteboom

发表

Using network theory and machine learning to predict El Niño

Henk A. Dijkstra, Qing Yi Feng, H. Dijkstra, 2018, Earth System Dynamics.

Sedimentary microplankton distributions are shaped by oceanographically connected areas

M. Ziegler, H. Dijkstra, E. van Sebille, 2021 .

Transport Bias by Ocean Currents in Sedimentary Microplankton Assemblages: Implications for Paleoceanographic Reconstructions

H. Dijkstra, E. Sebille, P. Bijl, 2019, Paleoceanography and Paleoclimatology.

Modelling of tuna around fish aggregating devices: the importance of ocean flow and prey

E. van Sebille, C. Kehl, S. Nicol, 2022, bioRxiv.

Improved Model‐Data Agreement With Strongly Eddying Ocean Simulations in the Middle‐Late Eocene

H. Dijkstra, E. van Sebille, A. Sluijs, 2022, Paleoceanography and paleoclimatology.

Limited Lateral Transport Bias During Export of Sea Surface Temperature Proxy Carriers in the Mediterranean Sea

M. Ziegler, E. van Sebille, A. Sluijs, 2021, Geophysical research letters.

Efficiently simulating Lagrangian particles in large-scale ocean flows - Data structures and their impact on geophysical applications

E. van Sebille, C. Kehl, E. Sebille, 2023, Comput. Geosci..

Resolution dependency of sinking Lagrangian particles in ocean general circulation models

H. Dijkstra, E. van Sebille, A. S. von der Heydt, 2020, PloS one.

Resolution-dependent variations of sinking Lagrangian particles in general circulation models

H. Dijkstra, E. Sebille, P. Bijl, 2020, 2004.07099.

An expanded database of Southern Hemisphere surface sediment dinoflagellate cyst assemblages and their oceanographic affinities

F. Marret, E. Michel, F. Sangiorgi, 2023, Journal of Micropalaeontology.

Using Network Theory and Machine Learning to predict El Ni\~no

Cristóbal López, Emilio Hernández-García, Henk A. Dijkstra, 2018 .

Individual-based model simulations indicate a non-linear catch equation of drifting Fish Aggregating Device-associated tuna

S. Nicol, I. Senina, P. Nooteboom, 2023, ICES Journal of Marine Science.

Assessing the drift of fish aggregating devices in the tropical Pacific Ocean

E. van Sebille, L. Escalle, S. Nicol, 2024, Ocean Science.

Using network theory and machine learning to predict El Niño

H. Dijkstra, C. L'opez, E. Hern'andez-Garc'ia, 2018, Earth System Dynamics.

Assessing the drift of ﬁsh aggregating devices in the tropical Paciﬁc Ocean

E. Sebille, P. Nooteboom, Philippe F. V. W. Frankemölle, 2022 .

North Atlantic Temperature Change Across the Eocene‐Oligocene Transition From Clumped Isotopes

P. Nooteboom, H. Coxall, A. N. Meckler, 2024, Paleoceanography and Paleoclimatology.

Strongly eddying ocean simulations required to resolve Eocene model-data mismatch

H. Dijkstra, E. van Sebille, A. Sluijs, 2021 .