Publications

Some papers using or mentioning OpenDrift:

Mao, S., Shropshire, T., & He, R. (2024). Quantifying surface shelf water export inthe southern middle Atlantic Bight using aLagrangian particle tracking approach. Journal of Geophysical Research: Oceans,129, https://doi.org/10.1029/2023JC020752

Vasilijevic, A.; Brönner, U; Dunn, M.; García-Valle, G.; Fabrini, J.; Stevenson-Jones, R.; Bye, B.L.; Mayer, I.; Berre, A.; Ludvigsen, M.; et al. A Digital Twin of the Trondheim Fjord for Environmental Monitoring-A Pilot Case.

Espenes H., Carrasco A., Dagestad K.-F., Christensen K.H., Drivdal M., Isachsen P.E., Stokes drift in crossing windsea and swell, and its effect on near-shore particle transport in Lofoten, Northern Norway, Ocean Modelling, Volume 191, October 2024, https://doi.org/10.1016/j.ocemod.2024.102407

Nadal I, Picciulin M, Falcieri FM, García-Lafuente J, Sammartino S, and Ghezzo M (2024). Spatio-temporal connectivity and dispersal seasonal patterns in the Adriatic Sea using a retention clock approach. Front. Mar. Sci. 11, 1-18, https://doi.org/10.3389/fmars.2024.1360077.

Cristiani J., Emily M. Rubidge, Patrick L. Thompson, Carolyn K. Robb, Margot Hessing-Lewis, and Mary I. O’Connor. 2024. Quantifying marine larval dispersal to assess MPA network connectivity and inform future national and transboundary planning efforts. Canadian Journal of Fisheries and Aquatic Sciences. 81(6): 670-686. https://doi.org/10.1139/cjfas-2023-0188

Clavel-Henry M, Bahamon N, Aguzzi J,Navarro J, Lopez M, Company JB (2024). Indicators to assess temporal variability in marineconnectivity processes: A semi-theoreticalapproach. PLoS ONE 19(7), https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0297730

Clavel-Henry M, Bahamon N, Aguzzi J,Navarro J, Lopez M, Company JB (2024). Limited spatiotemporal larval mixing of the Norway lobster from no-take marine protected areas in the northwestern Mediterranean Sea. Aquatic Conservation Marine and Freshwater Ecosystems. https://onlinelibrary.wiley.com/doi/10.1002/aqc.4175

Falcão et al. (2024). DSSE: An environment for simulation of reinforcement learning-empowered drone swarm maritime search and rescuemissions. Journal of Open Source Software, 9(99), 6746. https://doi.org/10.21105/joss.06746.1

Pärt S, Björkqvist J-V., Alari V., Maljutenko I., Uiboupin R., An ocean–wave–trajectory forecasting system for the eastern Baltic Sea: Validation against drifting buoys and implementation for oil spill modeling, Marine Pollution Bulletin Volume 195, October 2023, https://doi.org/10.1016/j.marpolbul.2023.115497

Aghito, M., Calgaro, L., Dagestad, K.-F., Ferrarin, C., Marcomini, A., Breivik, Ø., and Hole, L. R.: ChemicalDrift 1.0: an open-source Lagrangian chemical-fate and transport model for organic aquatic pollutants, Geosci. Model Dev., 16, 2477–2494, https://doi.org/10.5194/gmd-16-2477-2023, 2023.

Nguyen DM, Hole LR, Breivik Ø, Nguyen TB, Pham NK. Marine Plastic Drift from the Mekong River to Southeast Asia. Journal of Marine Science and Engineering. 2023; 11(5):925. https://doi.org/10.3390/jmse11050925

Simonsen, M., Albretsen, J., Saetra, Ø., Asplin, L., Lind, O.C., & Teien, H. (2023). High resolution modeling of aluminium transport in a fjord estuary with focus on mean circulation and irregular flow events. The Science of the total environment, 161399. https://doi.org/10.1016/j.scitotenv.2023.161399

Anselain, T., Heggy, E., Dobbelaere, T. et al. Qatar Peninsula’s vulnerability to oil spills and its implications for the global gas supply. Nat Sustain (2023). https://doi.org/10.1038/s41893-022-01037-w

Merlino, S.; Locritani, M.; Guarnieri, A.; Delrosso, D.; Bianucci, M.; Paterni, M. Marine Litter Tracking System: A Case Study with Open-Source Technology and a Citizen Science-Based Approach. Sensors 2023, 23, 935. https://doi.org/10.3390/s23020935

Bruciaferri, D., Tonani, M., Ascione, I., Al Senafi, F., O’Dea, E., Hewitt, H. T., and Saulter, A.: GULF18, a high-resolution NEMO-based tidal ocean model of the Arabian/Persian Gulf, Geosci. Model Dev., 15, 8705–8730, https://doi.org/10.5194/gmd-15-8705-2022, 2022.

Crivellaro, M.S., Candido, D.V., Lima Silveira T.C., Carvalhal Fonseca A., Segal, B. (2022) A tool for a race against time: Dispersal simulations to support ongoing monitoring program of the invasive coral Tubastraea coccinea. Mar. Pol. Bulletin, 185. ISSN 0025-326X.

Delcloo, A.W., Verstraeten, W.W., Kouznetsov, R., Hoebelke, L., Bruffaerts, N., Sofiev, M. (2022). Forecasting Birch Pollen Levels in Belgium: First Analysis of the 2021 Season. In: Mensink, C., Jorba, O. (eds) Air Pollution Modeling and its Application XXVIII. ITM 2021. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-12786-1_16

Rosas, Eloah & Martins, Flávio & Tosic, Marko & Janeiro, Joao & Mendonça, Fernando & Mills, Lara. (2022). Pathways and Hot Spots of Floating and Submerged Microplastics in Atlantic Iberian Marine Waters: A Modelling Approach. Journal of Marine Science and Engineering. 10. 1640. 10.3390/jmse10111640.

Kyriakidis, P., Moutsiou, T., Nikolaidis, A., Reepmeyer, C., Leventis, G., Demesticha, S., Akylas, E., Kassianidou, V., Michailides, C., Zomeni, Z., Bar-Yosef, D., Makovsky, Y., McCartney, C. (2022). Virtual Sea-Drifting Experiments between the Island of Cyprus and the Surrounding Mainland in the Early Prehistoric Eastern Mediterranean. Heritage. 5. 3081-3099. 10.3390/heritage5040160.

Rodríguez-Villegas C., Figueroa R.I, Pérez-Santos I, Molinet C., Saldías G.S., Rosales S.A, Álvarez G., Linford P., Díaz P.A., Continental shelf off northern Chilean Patagonia: A potential risk zone for the onset of Alexandrium catenella toxic bloom? Marine Pollution Bulletin 184 (2022) 114103, https://doi.org/10.1016/j.marpolbul.2022.11410

Devis Morales A.D., Rubio E.R., Martínez D.R., Numerical modeling of oil spills in the Gulf of Morrosquillo, Colombian Caribean, Ciencia, Tecnologia y Futuro Vol 12, Num 1 June 2022. pages 69 - 83, https://doi.org/10.29047/01225383.396.

Kotnik, J.; Žagar, D.; Novak, G.; Ličer, M.; Horvat, M. Dissolved Gaseous Mercury (DGM) in the Gulf of Trieste, Northern Adriatic Sea. J. Mar. Sci. Eng. 2022, 10, 587. https://doi.org/10.3390/jmse10050587

Keramea P, Kokkos N, Gikas GD, Sylaios G. Operational Modeling of North Aegean Oil Spills Forced by Real-Time Met-Ocean Forecasts. Journal of Marine Science and Engineering. 2022; 10(3):411. https://doi.org/10.3390/jmse10030411

Gérigny O., M.-L. Pedrotti, M. El Rakwe, M. Brun, M. Pavec, M. Henry, F. Mazeas, J. Maury, P. Garreau, F. Galgani, Characterization of floating microplastic contamination in the bay of Marseille (French Mediterranean Sea) and its impact on zooplankton and mussels, Marine Pollution Bulletin, vol 175, 2022, 113353, ISSN 0025-326X, https://doi.org/10.1016/j.marpolbul.2022.113353

Orel N, Fadeev E, Klun K, Licer M, Tinta T and Turk V (2022) Bacterial Indicators Are Ubiquitous Membersof Pelagic Microbiomein Anthropogenically ImpactedCoastal Ecosystem.Front. Microbiol. 12:765091 https://doi.org/10.3389/fmicb.2021.765091

Pavlov, V.; Aguiar, V.C.M.d.; Hole, L.R.; Pongrácz, E. A 30-Year Probability Map for Oil Spill Trajectories in the Barents Sea to Assess Potential Environmental and Socio-Economic Threats. Resources 2022, 11, 1. https://doi.org/10.3390/resources11010001

Bruciaferri, D.; Tonani, M.; Lewis, H. W.; Siddorn, J. R. ; Saulter, A.; Castillo Sanchez, J. M.; Valiente, N. G.; Conley, D.; Sykes, P.; Ascione, I.; McConnell, N.. 2021 The impact of ocean‐wave coupling on the upper ocean circulation during storm events. Journal of Geophysical Research: Oceans, 126 (6). https://doi.org/10.1029/2021JC017343

Blanken H, Valeo C, Hannah C, Khan UT and Juhász T (2021) A Fuzzy-Based Framework for Assessing Uncertainty in Drift Prediction Using Observed Currents and Winds. Front. Mar. Sci. 8:618094. http://doi.org/10.3389/fmars.2021.618094

Cristiani J, Rubidge E, Forbes C, Moore-Maley B and O’Connor MI (2021) A Biophysical Model and Network Analysis of Invertebrate Community Dispersal Reveals Regional Patterns of Seagrass Habitat Connectivity. Front. Mar. Sci. 8:717469. https://doi.org/10.3389/fmars.2021.717469

Tinker J and Hermanson L (2021) Towards Winter Seasonal Predictability of the North West European Shelf Seas. Front. Mar. Sci. 8:698997. https://doi.org/10.3389/fmars.2021.698997

Kotzakoulakis, K., & George, S. (2021). Advanced oil spill modeling and simulation techniques. In M. R. Riazi (Ed.), Oil spill occurrence, simulation and behavior (pp. 225-264). CRC Press, Taylor & Francis Group. https://doi.org/10.1201/9780429432156

Reche P., Artal O., Pinilla E., Ruiz C., Venegas O., Arriagada A., Falvey M., CHONOS: Oceanographic information website for Chilean Patagonia, Ocean & Coastal Management, Volume 208, 1 July 2021, https://doi.org/10.1016/j.ocecoaman.2021.105634

  1. Anarumo, T. Miles, H. Roarty, J. Kohut and N. Beaird, “An Open-Source Software Application for Drifter Trajectory Prediction in the Mid-Atlantic Bight,” Global Oceans 2020: Singapore – U.S. Gulf Coast, Biloxi, MS, USA, 2020, pp. 1-8, https://doi.org/10.1109/IEEECONF38699.2020.9389124

Peytavin, A., Sainte-Rose, B., Forget, G., and Campin, J.-M.: Ocean Plastic Assimilator v0.1: Assimilation of Plastics Concentration Data Into Lagrangian Dispersion Models, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2020-385, in review, 2021.

Melsom A., Kvile K.Ø., Dagestad K.-F., Broström G., Langangen Ø., Exploring drift simulations from ocean circulation experiments: Application to cod eggs and larval drift, Accepted for publication, https://doi.org/10.3354/cr01652

Strand K.O., Huserbråten M., Dagestad K.-F., Mauritzen C., Grøsvik B.E., Nogueira L.A., Melsom A., Röhrs J., Potential sources of marine plastic from survey beaches in the Arctic and Northeast Atlantic, Science of The Total Environment, Vol 790, 10, 2021, https://doi.org/10.1016/j.scitotenv.2021.148009

Kotzakoulakis, K., & George, S. (2021). Advanced oil spill modeling and simulation techniques. In M. R. Riazi (Ed.), Oil spill occurrence, simulation and behavior (pp. 225-264). CRC Press, Taylor & Francis Group. https://doi.org/10.1201/9780429432156

Morane C.-H., North E.W., Solé J., Solé, Bahamón N., Carreton M., Estimating the spawning locations of the deep-sea red and blue shrimp Aristeus antennatus (Crustacea: Decapoda) in the northwestern Mediterranean Sea with a backtracking larval transport model, Deep Sea Research Part I Oceanographic Research Papers 174(7):103558, May 2021, https://doi.org/10.1016/j.dsr.2021.103558

Hadjimitsis D. et al. (2021) ‘EXCELSIOR’ H2020 Widespread Teaming Phase 2 Project: Earth Observation and Geoinformatics Research and Innovation Agenda for Cultural Heritage. In: Ioannides M., Fink E., Cantoni L., Champion E. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2020. Lecture Notes in Computer Science, vol 12642. Springer, Cham. https://doi.org/10.1007/978-3-030-73043-7_13

Vora M., Sanni S., Flage R., An environmental risk assessment framework for enhanced oil recovery solutions from offshore oil and gas industry, Environmental Impact Assessment Review 88 (2021), https://doi.org/10.1016/j.eiar.2020.106512

Dugstad J.S., Isachsen P.E., Fer I., The mesoscale eddy field in the Lofoten Basin from high-resolution Lagrangian simulations, Ocean Sci., 17, 651–674, 2021 https://doi.org/10.5194/os-17-651-2021

Clavel-Henry M., Solé J., Bahamona N., Carretón M., Companya J.B., Larval transport of Aristeus antennatus shrimp (Crustacea: Decapoda: Dendrobranchiata: Aristeidae) near the Palamós submarine canyon (NW Mediterranean Sea) linked to the North Balearic Front, Progress in Oceanography, Vol 192, March 2021, https://doi.org/10.1016/j.pocean.2021.102515

Keramea, P., Spanoudaki, K., Zodiatis, G., Gikas, G., Sylaios, G., Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges. J. Mar. Sci. Eng. 2021, https://doi.org/10.3390/jmse9020181

Hole, L. R., de Aguiar V., Dagestad, K-F, Kourafalou V. H., Androulidakis Y., Kangb H., Le Hénaff M., Calzadae A. (2021). Long term simulations of potential oil spills around Cuba. Mar. Pol. Bull., Volume 167. https://doi.org/10.1016/j.marpolbul.2021.112285

Staneva, J., Ricker, M., Carrasco Alvarez, R., Breivik, Ø., & Schrum, C. (2021). Effects of Wave-Induced Processes in a Coupled Wave–Ocean Model on Particle Transport Simulations. Water, 13(4), 415. https://doi.org/10.3390/w13040415

Brekke, C., Espeseth, M. M., Dagestad, K.-F., Röhrs, J., Hole, L. R., & Reigber, A. (2021). Integrated analysis of multisensor datasets and oil drift simulations—a free-floating oil experiment in the open ocean. Journal of Geophysical Research: Oceans, 126, e2020JC016499. https://doi.org/10.1029/2020JC016499

Devis-Morales, A., Rodríguez-Rubio, E. & Montoya-Sánchez, R.A. Modelling the transport of sediment discharged by Colombian rivers to the southern Caribbean Sea. Ocean Dynamics (2021). https://doi.org/10.1007/s10236-020-01431-y

Gancheva I., Peneva E. (2021) Remote Sensing and Modelling of the Mopang Oil Pollution Near the Bulgarian Black Sea Coast. In: Dobrinkova N., Gadzhev G. (eds) Environmental Protection and Disaster Risks. EnviroRISK 2020. Studies in Systems, Decision and Control, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-70190-1_26

El Rahi, J., Weeber M.P., El Serafya, G., Modelling the effect of behavior on the distribution of the jellyfish Mauve stinger (Pelagianoctiluca) in the Balearic Sea using an individual-based model, Ecological Modelling, Volume 433, Oct. 2020, https://doi.org/10.1016/j.ecolmodel.2020.109230

Laudy C., L. Mészáros, S. Wanke and M. de Juan, “Mixing Social Media Analysis and Physical Models to Monitor Invasive Species,” 2020 IEEE 23rd International Conference on Information Fusion (FUSION), Rustenburg, South Africa, 2020, pp. 1-8, doi: 10.23919/FUSION45008.2020.9190335.

Androulidakis, Y., Kourafalou, V., Robert Hole, L., Le Hénaff, M., & Kang, H. (2020). Pathways of Oil Spills from Potential Cuban Offshore Exploration: Influence of Ocean Circulation. Journal of Marine Science and Engineering, 8(7), 535. https://doi.org/10.3390/jmse8070535

Ypma, S. L., Georgiou, S., Dugstad, J. S., Pietrzak, J. D., & Katsman, C. A. (2020). Pathways and water mass transformation along and across the Mohn‐Knipovich Ridge in the Nordic Seas. Journal of Geophysical Research: Oceans, 125, e2020JC016075. https://doi.org/10.1029/2020JC016075

Norrie, C.R., Dunphy, B.J., Roughan, M., Weppe, S., & Lundquist, C. (2020). Spill-over from aquaculture may provide a larval subsidy for the restoration of mussel reefs. Aquaculture Environment Interactions, https://doi.org/10.3354/aei00363

Ricker, M., Stanev, E. V., Badewien, T. H., Freund, H., Meyerjurgens, J., Wolff, J.-O., & Zielinski, O. (2020). Drifter observations and Lagrangian tracking of the 2018 easterly wind event in the North Sea. In Copernicus Marine Service Ocean State Report, Issue 4. Journal of Operational Oceanography, 13(sup1), s155–s160, https://doi.org/10.1080/1755876X.2020.1785097

Romagnoni G., Kvile K.Oe., Dagestad K.F., Eikeset A.M., Kristiansen T., Stenseth N.C., Langangen Oe.: Influence of larval transport and temperature on recruitment dynamics of North Sea cod (Gadus morhua) across spatial scales of observation, Fisheries and Oceanography, 2020, https://doi.org/10.1111/fog.12474

Ličer, M., Estival, S., Reyes-Suarez, C., Deponte, D., and Fettich, A.: Lagrangian Trajectory Modelling of a Person lost at Sea during the Adriatic Scirocco Storm of 29 October 2018, Nat. Nat. Hazards Earth Syst. Sci., 20, 2335–2349, 2020, https://doi.org/10.5194/nhess-20-2335-2020

Clavel-Henry M, Solé J, Kristiansen T, Bahamon N, Rotllant G, et al. (2020) Modeled buoyancy of eggs and larvae of the deep-sea shrimp Aristeus antennatus (Crustacea: Decapoda) in the northwestern Mediterranean Sea. PLOS ONE 15(1): e0223396. https://doi.org/10.1371/journal.pone.0223396

Hole, L. R., Dagestad, K. F., Röhrs, J., Wettre, C., Kourafalou, V. H., Androulidakis, Y., … & Garcia-Pineda, O. (2019). The DeepWater Horizon Oil Slick: Simulations of River Front Effects and Oil Droplet Size Distribution. Journal of Marine Science and Engineering, 7(10), 329. http://dx.doi.org/10.3390/jmse7100329

Dugstad, J.,I. M. Koszalka, P. E. Isachsen, K.-F. Dagestad and I. Fer (2019), Vertical structure and seasonal variability of the inflow to the Lofoten Basin inferred from high resolution Lagrangian simulations, J. Geophys. Res., https://doi.org/10.1029/2019JC015474.

Ricker, M. and Stanev, E. V.: Circulation of the European Northwest Shelf: A Lagrangian perspective, Ocean Science., https://www.ocean-sci.net/16/637/2020/

Stanev, E. V., Badewien, T. H., Freund, H., Grayek, S., Hahner, F., Meyerjürgens, J., Ricker, M., Schöneich-Argent, R. I., Wolff, J.-O., & Zielinski, O. (2019). Extreme westward surface drift in the North Sea: Public reports of stranded drifters and Lagrangian tracking. Continental Shelf Research, 177, 24–32. https://doi.org/10.1016/j.csr.2019.03.003

Stanev, E. V., & Ricker, M. (2019). The Fate of Marine Litter in Semi-Enclosed Seas: A Case Study of the Black Sea. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00660

Andruszkiewicz EA, Koseff JR, Fringer OB, Ouellette NT, Lowe AB, Edwards CA and Boehm AB (2019), Modeling Environmental DNA Transport in the Coastal Ocean Using Lagrangian Particle Tracking. Front. Mar. Sci. 6:477. http://doi.org/10.3389/fmars.2019.00477

Dagestad, K.-F. and Röhrs, J.: Prediction of ocean surface trajectories using satellite derived vs. modeled ocean currents, Remote Sens. Environ., Volume 223, p130-142, 2019, https://doi.org/10.1016/j.rse.2019.01.001

Röhrs, J., Dagestad, K.-F., Asbjørnsen, H., Nordam, T., Skancke, J., Jones, C. E., and Brekke, C.: The effect of vertical mixing on the horizontal drift of oil spills, Ocean Sci., 14, 1581-1601, https://doi.org/10.5194/os-14-1581-2018, 2018.

Gutow, L., Ricker, M., Holstein, J. M., Dannheim, J., Stanev, E. V., & Wolff, J.-O. (2018). Distribution and trajectories of floating and benthic marine macrolitter in the south-eastern North Sea. Marine Pollution Bulletin, 131, Part A, 763–772. https://doi.org/10.1016/j.marpolbul.2018.05.003

Hansen J., Manjanna S., Li A.Q., Rekleitis I., Dudek G., 2018, Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields, https://arxiv.org/abs/1811.10103

Christensen, K. H., Breivik, Ø., Dagestad, K.-F., Röhrs, J., Ward, B.: Short-term predictions of oceanic drift. Oceanography 2018, Volume 31.(3) s. 59-67, https://doi.org/10.5670/oceanog.2018.310

Kvile K., Romagnoni G., Dagestad K.-F., Langangen Ø., Kristiansen T., Sensitivity of North Sea cod larvae transport to vertical behaviour, ocean model resolution and interannual variation in ocean dynamics. ICES Journal of Marine Science, fsy039, https://doi.org/10.1093/icesjms/fsy039, 2018.

Dagestad, K.-F., Röhrs, J., Breivik, Ø., and Ådlandsvik, B.: OpenDrift v1.0: a generic framework for trajectory modelling, Geosci. Model Dev., 11, 1405-1420, https://doi.org/10.5194/gmd-11-1405-2018, 2018.

Sperrevik, A. K., Röhrs, J., and Christensen, K. H. ( 2017), Impact of data assimilation on Eulerian versus Lagrangian estimates of upper ocean transport, J. Geophys. Res. Oceans, 122, 5445– 5457, https://doi.org/10.1002/2016JC012640.

Sundby S. , Kristiansen T., Nash R. D. M., Johannesen T. 2017. Dynamic Mapping of North Sea Spawning: report of the ‘KINO’ Project. Fisken og Havet, 2: 183, http://hdl.handle.net/11250/2440959

Jones, C.E., Dagestad, K.-F., Breivik, Ø., Holt, B., Röhrs, J., Christensen, K.H., Espeseth, M.M., Brekke, C., Skrunes, S. (2016): Measurement and modeling of oil slick transport. Journal of Geophysical Research – Oceans, Volume 121, Issue 10, October 2016, Pages 7759–7775. http://doi.org/10.1002/2016JC012113