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27 results on '"Blauw, Anouk"'

1. Gathering users and developers to shape together the next-generation ocean reanalyses: Ocean reanalyses workshop of the European Copernicus Marine Service

Author

Yang, Chunxue, primary, Bourdallé-Badie, Romain, additional, Drevillon, Marie, additional, Amaya, Dillon, additional, Aouf, Lotfi, additional, Aydogdu, Ali, additional, Barton, Benjamin, additional, Bell, Mike, additional, Boyer, Tim, additional, Blauw, Anouk, additional, Carton, James, additional, Candela, Tony, additional, Cossarini, Gianpiero, additional, Dabrowski, Tomasz, additional, de Boisseson, Eric, additional, de Mora, Lee, additional, Fablet, Ronan, additional, Forget, Gaël, additional, Fujii, Yosuke, additional, Garric, Gilles, additional, Giunta, Valentina, additional, Salamon, Peter, additional, Hersbach, Hans, additional, Juza, Mélanie, additional, Sommer, Julien Le, additional, Martin, Matthew, additional, McAdam, Ronan, additional, Garcia, Melisa Menendez, additional, Morim, Joao, additional, Nicolì, Dario, additional, Reppucci, Antonio, additional, Samuelsen, Annette, additional, Sauzède, Raphaëlle, additional, Slivinski, Laura, additional, Specq, Damien, additional, Storto, Andrea, additional, Tuomi, Laura, additional, Vandenbulcke, Luc, additional, Aznar, Roland, additional, Beuvier, Jonathan, additional, Cipollone, Andrea, additional, Clementi, Emanuela, additional, Di Biagio, Valeria, additional, Escudier, Romain, additional, Giesen, Rianne, additional, Greiner, Eric, additional, Guihou, Karen, additional, Korabel, Vasily, additional, Lamouroux, Julien, additional, Chune, Stephane Law, additional, Lellouche, Jean- Michel, additional, Levier, Bruno, additional, Lima, Leonardo, additional, Mangin, Antoine, additional, Mayer, Michael, additional, Melet, Angelique, additional, Miraglio, Pietro, additional, Oikonomou, Charikleia, additional, Pfeffer, Julia, additional, Renshaw, Richard, additional, Ringgaard, Ida, additional, Thual, Sulian, additional, Titaud, Olivier, additional, Tonani, Marina, additional, van Gennip, Simon, additional, von Schuckmann, Karina, additional, Drillet, Yann, additional, and Traon, Pierre-Yves Le, additional

Published
2024
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2. Twenty years of satellite and in situ observations of surface chlorophyll-a from the northern Bay of Biscay to the eastern English Channel. Is the water quality improving?

Author

Gohin, Francis, Van der Zande, Dimitry, Tilstone, Gavin, Eleveld, Marieke A., Lefebvre, Alain, Andrieux-Loyer, Françoise, Blauw, Anouk N., Bryère, Philippe, Devreker, David, Garnesson, Philippe, Hernández Fariñas, Tania, Lamaury, Yoann, Lampert, Luis, Lavigne, Héloïse, Menet-Nedelec, Florence, Pardo, Silvia, and Saulquin, Bertrand

Published
2019
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7. Deriving pre-eutrophic conditions from an ensemble model approach for the North-West European seas

Author

van Leeuwen, Sonja M., primary, Lenhart, Hermann-J., additional, Prins, Theo C., additional, Blauw, Anouk, additional, Desmit, Xavier, additional, Fernand, Liam, additional, Friedland, Rene, additional, Kerimoglu, Onur, additional, Lacroix, Genevieve, additional, van der Linden, Annelotte, additional, Lefebvre, Alain, additional, van der Molen, Johan, additional, Plus, Martin, additional, Ruvalcaba Baroni, Itzel, additional, Silva, Tiago, additional, Stegert, Christoph, additional, Troost, Tineke A., additional, and Vilmin, Lauriane, additional

Published
2023
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8. Innovative actions in oceans and human health for Europe.

Author

Pellens, Noortje, Boelee, Eline, Veiga, Joana M, Fleming, Lora E, and Blauw, Anouk

Subjects
HEALTH policy, RESEARCH methodology, HEALTH status indicators, QUANTITATIVE research, INTERVIEWING, POPULATION geography, QUALITATIVE research, CONCEPTUAL structures, OCEAN, QUESTIONNAIRES, DESCRIPTIVE statistics, RESEARCH funding, JUDGMENT sampling, NATURE, CONTENT analysis, DATA analysis software, HEALTH promotion, DIFFUSION of innovations, POLLUTION, CLIMATE change, GOAL (Psychology)
Abstract

Innovative actions are local initiatives which leverage the interactions between the ocean and human health to reduce the risks and enhance the benefits for the stakeholders and the natural environment. These initiatives can have strong positive effects on human health and wellbeing as well as on the marine environment. We analysed 150 such innovative actions in Europe. Using a combined case study and survey approach, innovative actions were identified using interviews and content analysis of websites and compiled into a database. Quantitative data were analysed according to the Drivers, Pressures, State, Impact and Response (DPSIR) framework, guided by selected in-depth interviews. Overall, the innovative actions provided a positive impact on the health of both the ocean and humans through increasing food provision, water quality and tourism opportunities; and addressing environmental issues such as commercial fish stock depletion, pollution and climate change. Innovative actions contributed to meeting various targets of the Sustainable Development Goals (SDGs) 3, 13 and 14. These actions played a potential role ahead of and alongside policy. Some of the innovative actions may have potential to be put in place elsewhere. Such up-scaling would need to be adapted to local circumstances and could be facilitated by an innovative action exchange platform. [ABSTRACT FROM AUTHOR]

Published
2023
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12. JERICO-RI network of coastal observatories, proof of concept for Pilot Supersites

Author

Seppälä, Jukka, Frangoulis, Constantin, Tamminen, Timo, Petihakis, George, Brix, Holger, Ove Möller, Klas, Puillat, Ingrid, Allen, John, Tintore, Joaquin, Coppola, Laurent, Bourrin, François, Lefebvre, Alain, Verney, Romaric, Blauw, Anouk, Laakso, Lauri, Johansson, Milla, Rehder , Gregor, Liblik, Taavi, Lips, Urmas, Mostajir, Behzad, Griffa, Annalisa, Berta, Maristella, Gómez, Begoña Pérez, Mourre, Baptiste, Del Rio, Joaquin, Voynova, Yoana, Frigstad, Helene, Artigas, Luis Felipe, Créach, Véronique, Greenwood, Naomi, Deneudt, Klaas, Wehde, Henning, Fischer, Philipp, Fettweis, Michael, Enserink, Lisette, Tsiaras​, Kostas, Thyssen, Melilotus, King, Andrew, Rubio, Anna, Grémare, Antoine, El Serafy, Ghada, Pfannkuchen, Martin, DELAUNEY, Laurent, and Finnish Environment Institute (SYKE)

Subjects
[SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

17. Improved version of the algal forecasting models

Author

Dionisio Pires, Miguel, Blauw, Anouk, Troost, Tineke, Harezlak, Valesca, Muysken, Daniel, and van den Boogaard, Henk

Subjects
EWACS, AlgaeRadar, forecasting, cyanobacteria
Abstract

The report describes the models that were used within the H2020 project EOMORES to forecast cyanobacteria. Two models, developed by Deltares, were used: EWACS and AlgaeRadar. EWACS was applied to lake Paterswoldsemeer in the Netherlands and is a 3D model used to forecast algal scums. The AlgaeRadar is a statistical model that predicts cyanobacteria concentrations and was applied in lakes Paterswoldsemeer, Twiske (both in the Netherlands) and Trasimeno (Italy). For both models the current status is described and what is needed for further improvements. In addition, the Deltares BLOOM model was applied to lake Twiske to model the factors that limit growth in the lake.

Published
2018

18. Forecasting cyanobacterial blooms using high frequency monitoring data

Author

Blauw, Anouk, Van den Boogaard, Henk, Hommersom, Annelies, Boogaard, Floris, de Lima, Rui, Schenkel, Janneke, Uibel, Elena, Eleveld, Marieke, Kramer, Lilith, Harezlak, Valesca, Dioniso, Miguel, and Water

Subjects
climateadaption, water, klimaatverandering, climate
Abstract

Cyanobacterial blooms can be toxic to humans swimming in affected waters. According to the European Bathing Water Directive bathing waters should be closed during cyanobacterial blooms. In the Netherlands, cyanobacteria monitoring in all official bathing water locations is usually performed every two weeks during the bathing season. In face of the large temporal and spatial variability of cyanobacterial bloom dynamics this monitoring frequency however is too low for adequate early warnings to the public. High frequency monitoring and forecasting models can provide information on cyanobacterial blooms in between the regular monitoring dates and for a few days into the future. In the H2020 project EOMORES, we have combined observational data from a spectral camera (Ecowatch) near a Dutch bathing site with fluorescence data from an underwater drone to analyse the variability of cyanobacterial blooms at short temporal and spatial scales. The results are used in a short term forecasting model of cyanobacterial blooms (AlgaeRadar) and a 3D scum forecasting model (EWACS). The AlgaeRadar is cross-validated with biweekly data from other bathing water sites and shows improved model performance compared to an earlier version that was built with only biweekly data. For the site with high-frequency chlorophyll observations the near-real time data are assimilated in the model to further enhance the model performance. Model performance of EWACS is verified using high frequency pictures from the Ecowatch station, showing scum layers on the water. This allowed us to validate and calibrate the EWACS model. Model validation abilities were in the past also limited by to the patchy nature and high temporal variability of the scum layers, which was not covered by sparse scum observations. With the resulting models, early warnings for cyanobacterial blooms are more reliable than those from the current practice that are merely based on biweekly monitoring data. For the protection of public health this provides better opportunities as well.

Published
2018

19. Copernicus Marine Service Ocean State Report, Issue 3

Author

von Schuckmann, Karina, primary, Le Traon, Pierre-Yves, additional, Smith, Neville, additional, Pascual, Ananda, additional, Djavidnia, Samuel, additional, Gattuso, Jean-Pierre, additional, Grégoire, Marilaure, additional, Nolan, Glenn, additional, Aaboe, Signe, additional, Aguiar, Eva, additional, Álvarez Fanjul, Enrique, additional, Alvera-Azcárate, Aida, additional, Aouf, Lotfi, additional, Barciela, Rosa, additional, Behrens, Arno, additional, Belmonte Rivas, Maria, additional, Ben Ismail, Sana, additional, Bentamy, Abderrahim, additional, Borgini, Mireno, additional, Brando, Vittorio E., additional, Bensoussan, Nathaniel, additional, Blauw, Anouk, additional, Bryère, Philippe, additional, Buongiorno Nardelli, Bruno, additional, Caballero, Ainhoa, additional, Çağlar Yumruktepe, Veli, additional, Cebrian, Emma, additional, Chiggiato, Jacopo, additional, Clementi, Emanuela, additional, Corgnati, Lorenzo, additional, de Alfonso, Marta, additional, de Pascual Collar, Álvaro, additional, Deshayes, Julie, additional, Di Lorenzo, Emanuele, additional, Dominici, Jean-Marie, additional, Dupouy, Cécile, additional, Drévillon, Marie, additional, Echevin, Vincent, additional, Eleveld, Marieke, additional, Enserink, Lisette, additional, García Sotillo, Marcos, additional, Garnesson, Philippe, additional, Garrabou, Joaquim, additional, Garric, Gilles, additional, Gasparin, Florent, additional, Gayer, Gerhard, additional, Gohin, Francis, additional, Grandi, Alessandro, additional, Griffa, Annalisa, additional, Gourrion, Jérôme, additional, Hendricks, Stefan, additional, Heuzé, Céline, additional, Holland, Elisabeth, additional, Iovino, Doroteaciro, additional, Juza, Mélanie, additional, Kurt Kersting, Diego, additional, Kipson, Silvija, additional, Kizilkaya, Zafer, additional, Korres, Gerasimos, additional, Kõuts, Mariliis, additional, Lagemaa, Priidik, additional, Lavergne, Thomas, additional, Lavigne, Heloise, additional, Ledoux, Jean-Baptiste, additional, Legeais, Jean-François, additional, Lehodey, Patrick, additional, Linares, Cristina, additional, Liu, Ye, additional, Mader, Julien, additional, Maljutenko, Ilja, additional, Mangin, Antoine, additional, Manso-Narvarte, Ivan, additional, Mantovani, Carlo, additional, Markager, Stiig, additional, Mason, Evan, additional, Mignot, Alexandre, additional, Menna, Milena, additional, Monier, Maeva, additional, Mourre, Baptiste, additional, Müller, Malte, additional, Nielsen, Jacob Woge, additional, Notarstefano, Giulio, additional, Ocaña, Oscar, additional, Patti, Bernardo, additional, Payne, Mark R., additional, Peirache, Marion, additional, Pardo, Silvia, additional, Pérez Gómez, Begoña, additional, Pisano, Andrea, additional, Perruche, Coralie, additional, Peterson, K. Andrew, additional, Pujol, Marie-Isabelle, additional, Raudsepp, Urmas, additional, Ravdas, Michalis, additional, Raj, Roshin P., additional, Renshaw, Richard, additional, Reyes, Emma, additional, Ricker, Robert, additional, Rubio, Anna, additional, Sammartino, Michela, additional, Santoleri, Rosalia, additional, Sathyendranath, Shubha, additional, Schroeder, Katrin, additional, She, Jun, additional, Sparnocchia, Stefania, additional, Staneva, Joanna, additional, Stoffelen, Ad, additional, Szekely, Tanguy, additional, Tilstone, Gavin H., additional, Tinker, Jonathan, additional, Tintoré, Joaquín, additional, Tranchant, Benoît, additional, Uiboupin, Rivo, additional, Van der Zande, Dimitry, additional, von Schuckmann, Karina, additional, Wood, Richard, additional, Woge Nielsen, Jacob, additional, Zabala, Mikel, additional, Zacharioudaki, Anna, additional, Zuberer, Frédéric, additional, and Zuo, Hao, additional

Published
2019
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21. Harmful Albal Blooms Expert System - (HABES)

Author

Blauw, Anouk and Estrada, Marta

Abstract

Blauw, Anouk ... et al.-- European Conference on Marine Science & Ocean Technology (EurOCEAN 2004): Celebrating European Marine Science, Building the European Research Area, Communicating Marine Science, 10-13 May 2004, Galway, Ireland.-- 2 pages, 1 figure

Published
2007

25. Improved version of the algal forecasting models

Author

Dionisio Pires, Miguel, Blauw, Anouk, Troost, Tineke, Harezlak, Valesca, Muysken, Daniel, and van den Boogaard, Henk

Subjects
EWACS, AlgaeRadar, forecasting, cyanobacteria, 14. Life underwater, 6. Clean water
Abstract

The report describes the models that were used within the H2020 projectEOMORES to forecast cyanobacteria. Two models, developed by Deltares,were used: EWACS and AlgaeRadar. EWACS was applied to lake Paterswoldsemeer in the Netherlands and is a 3D model used to forecast algal scums. The AlgaeRadar is a statistical model that predicts cyanobacteria concentrations and was applied in lakes Paterswoldsemeer, Twiske (both in the Netherlands) and Trasimeno (Italy). For both models the current status is described and what is needed for further improvements. In addition, the Deltares BLOOM model was applied to lake Twiske to model the factors that limit growth in the lake. &nbsp

26. Improved version of the algal forecasting models

Author

Dionisio Pires, Miguel, Blauw, Anouk, Troost, Tineke, Harezlak, Valesca, Muysken, Daniel, and van den Boogaard, Henk

Subjects
EWACS, AlgaeRadar, forecasting, cyanobacteria, 14. Life underwater, 6. Clean water
Abstract

The report describes the models that were used within the H2020 project EOMORES to forecast cyanobacteria. Two models, developed by Deltares, were used: EWACS and AlgaeRadar. EWACS was applied to lake Paterswoldsemeer in the Netherlands and is a 3D model used to forecast algal scums. The AlgaeRadar is a statistical model that predicts cyanobacteria concentrations and was applied in lakes Paterswoldsemeer, Twiske (both in the Netherlands) and Trasimeno (Italy). For both models the current status is described and what is needed for further improvements. In addition, the Deltares BLOOM model was applied to lake Twiske to model the factors that limit growth in the lake.

27. Improved version of the algal forecasting models

Author

Dionisio Pires, Miguel, Blauw, Anouk, Troost, Tineke, Harezlak, Valesca, Muysken, Daniel, and van den Boogaard, Henk

Subjects
EWACS, AlgaeRadar, forecasting, cyanobacteria, 14. Life underwater, 6. Clean water
Abstract

The report describes the models that were used within the H2020 projectEOMORES to forecast cyanobacteria. Two models, developed by Deltares,were used: EWACS and AlgaeRadar. EWACS was applied to lake Paterswoldsemeer in the Netherlands and is a 3D model used to forecast algal scums. The AlgaeRadar is a statistical model that predicts cyanobacteria concentrations and was applied in lakes Paterswoldsemeer, Twiske (both in the Netherlands) and Trasimeno (Italy). For both models the current status is described and what is needed for further improvements. In addition, the Deltares BLOOM model was applied to lake Twiske to model the factors that limit growth in the lake. &nbsp

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