Articles | Volume 9, issue 4
https://doi.org/10.5194/os-9-655-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-9-655-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Daily scale wintertime sea surface temperature and IPC-Navidad variability in the southern Bay of Biscay from 1981 to 2010
G. Esnaola
AZTI-Tecnalia, Marine Research Division, Herrera Kaia Portualdea z/g, 20110 Pasaia, Gipuzkoa, Spain
Department of Applied Physics II, Fac. of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
Research Center for Experimental Marine Biology and BioTechnology (PIE-UPV/EHU), Areatza Pasealekua, 48620 Plentzia, Spain
E. Zorita
Institute for Coastal Research, Helmholtz-Zentrum Geesthacht, Max-Planck-Straß e 1, 21502 Geesthacht, Germany
A. Fontán
AZTI-Tecnalia, Marine Research Division, Herrera Kaia Portualdea z/g, 20110 Pasaia, Gipuzkoa, Spain
V. Valencia
AZTI-Tecnalia, Marine Research Division, Herrera Kaia Portualdea z/g, 20110 Pasaia, Gipuzkoa, Spain
P. Lazure
Department DYNECO, IFREMER, Centre de Brest, BP 70, 29280 Plouzané, France
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A. Fontán, G. Esnaola, J. Sáenz, and M. González
Ocean Sci., 9, 399–410, https://doi.org/10.5194/os-9-399-2013, https://doi.org/10.5194/os-9-399-2013, 2013
Kai Bellinghausen, Birgit Hünicke, and Eduardo Zorita
EGUsphere, https://doi.org/10.5194/egusphere-2024-2222, https://doi.org/10.5194/egusphere-2024-2222, 2024
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We designed a tool to predict the storm surges at the Baltic Sea coast with a satisfactorily predictability (70 % correct predictions) using lead times of a few days. The proportion of false warnings is typically as low as 10 to 20 %. We could identify the relevant predictor regions and their patterns – such as low pressure systems and strong winds. Due to its short computing time the method can be used as a pre-warning system triggering the application of more sophisticated algorithms.
Marlene Klockmann, Udo von Toussaint, and Eduardo Zorita
Geosci. Model Dev., 17, 1765–1787, https://doi.org/10.5194/gmd-17-1765-2024, https://doi.org/10.5194/gmd-17-1765-2024, 2024
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Reconstructions of climate variability before the observational period rely on climate proxies and sophisticated statistical models to link the proxy information and climate variability. Existing models tend to underestimate the true magnitude of variability, especially if the proxies contain non-climatic noise. We present and test a promising new framework for climate-index reconstructions, based on Gaussian processes, which reconstructs robust variability estimates from noisy and sparse data.
Nele Tim, Birgit Hünicke, and Eduardo Zorita
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-147, https://doi.org/10.5194/nhess-2023-147, 2023
Manuscript not accepted for further review
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Our study analyses extreme precipitation over southern Africa in regional high-resolution atmospheric simulations of the past and future. We investigated heavy precipitation over Southern Africa, coastal South Africa, Cape Town, and the KwaZulu-Natal province in eastern South Africa. Coastal precipitation extremes are projected to intensify, double in intensity in KwaZulu-Natal, and weaken in Cape Town. Extremes are not projected to occur more often in the 21st century than in the last decades.
Nele Tim, Eduardo Zorita, Birgit Hünicke, and Ioana Ivanciu
Weather Clim. Dynam., 4, 381–397, https://doi.org/10.5194/wcd-4-381-2023, https://doi.org/10.5194/wcd-4-381-2023, 2023
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As stated by the IPCC, southern Africa is one of the two land regions that are projected to suffer from the strongest precipitation reductions in the future. Simulated drying in this region is linked to the adjacent oceans, and prevailing winds as warm and moist air masses are transported towards the continent. Precipitation trends in past and future climate can be partly attributed to the strength of the Agulhas Current system, the current along the east and south coasts of southern Africa.
Kai Bellinghausen, Birgit Hünicke, and Eduardo Zorita
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-21, https://doi.org/10.5194/nhess-2023-21, 2023
Manuscript not accepted for further review
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The prediction of extreme coastal sea level, e.g. caused by a storm surge, is operationally carried out with dynamical computer models. These models are expensive to run and still display some limitations in predicting the height of extremes. We present a successful purely data-driven machine learning model to predict extreme sea levels along the Baltic Sea coast a few days in advance. The method is also able to identify the critical predictors for the different Baltic Sea regions.
Zeguo Zhang, Sebastian Wagner, Marlene Klockmann, and Eduardo Zorita
Clim. Past, 18, 2643–2668, https://doi.org/10.5194/cp-18-2643-2022, https://doi.org/10.5194/cp-18-2643-2022, 2022
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A bidirectional long short-term memory (LSTM) neural network was employed for the first time for past temperature field reconstructions. The LSTM method tested in our experiments using a limited calibration and validation dataset shows worse reconstruction skills compared to traditional reconstruction methods. However, a certain degree of reconstruction performance achieved by the nonlinear LSTM method shows that skill can be achieved even when using small samples with limited datasets.
H. E. Markus Meier, Madline Kniebusch, Christian Dieterich, Matthias Gröger, Eduardo Zorita, Ragnar Elmgren, Kai Myrberg, Markus P. Ahola, Alena Bartosova, Erik Bonsdorff, Florian Börgel, Rene Capell, Ida Carlén, Thomas Carlund, Jacob Carstensen, Ole B. Christensen, Volker Dierschke, Claudia Frauen, Morten Frederiksen, Elie Gaget, Anders Galatius, Jari J. Haapala, Antti Halkka, Gustaf Hugelius, Birgit Hünicke, Jaak Jaagus, Mart Jüssi, Jukka Käyhkö, Nina Kirchner, Erik Kjellström, Karol Kulinski, Andreas Lehmann, Göran Lindström, Wilhelm May, Paul A. Miller, Volker Mohrholz, Bärbel Müller-Karulis, Diego Pavón-Jordán, Markus Quante, Marcus Reckermann, Anna Rutgersson, Oleg P. Savchuk, Martin Stendel, Laura Tuomi, Markku Viitasalo, Ralf Weisse, and Wenyan Zhang
Earth Syst. Dynam., 13, 457–593, https://doi.org/10.5194/esd-13-457-2022, https://doi.org/10.5194/esd-13-457-2022, 2022
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Based on the Baltic Earth Assessment Reports of this thematic issue in Earth System Dynamics and recent peer-reviewed literature, current knowledge about the effects of global warming on past and future changes in the climate of the Baltic Sea region is summarised and assessed. The study is an update of the Second Assessment of Climate Change (BACC II) published in 2015 and focuses on the atmosphere, land, cryosphere, ocean, sediments, and the terrestrial and marine biosphere.
Marcus Reckermann, Anders Omstedt, Tarmo Soomere, Juris Aigars, Naveed Akhtar, Magdalena Bełdowska, Jacek Bełdowski, Tom Cronin, Michał Czub, Margit Eero, Kari Petri Hyytiäinen, Jukka-Pekka Jalkanen, Anders Kiessling, Erik Kjellström, Karol Kuliński, Xiaoli Guo Larsén, Michelle McCrackin, H. E. Markus Meier, Sonja Oberbeckmann, Kevin Parnell, Cristian Pons-Seres de Brauwer, Anneli Poska, Jarkko Saarinen, Beata Szymczycha, Emma Undeman, Anders Wörman, and Eduardo Zorita
Earth Syst. Dynam., 13, 1–80, https://doi.org/10.5194/esd-13-1-2022, https://doi.org/10.5194/esd-13-1-2022, 2022
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As part of the Baltic Earth Assessment Reports (BEAR), we present an inventory and discussion of different human-induced factors and processes affecting the environment of the Baltic Sea region and their interrelations. Some are naturally occurring and modified by human activities, others are completely human-induced, and they are all interrelated to different degrees. The findings from this study can largely be transferred to other comparable marginal and coastal seas in the world.
Ralf Weisse, Inga Dailidienė, Birgit Hünicke, Kimmo Kahma, Kristine Madsen, Anders Omstedt, Kevin Parnell, Tilo Schöne, Tarmo Soomere, Wenyan Zhang, and Eduardo Zorita
Earth Syst. Dynam., 12, 871–898, https://doi.org/10.5194/esd-12-871-2021, https://doi.org/10.5194/esd-12-871-2021, 2021
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The study is part of the thematic Baltic Earth Assessment Reports – a series of review papers summarizing the knowledge around major Baltic Earth science topics. It concentrates on sea level dynamics and coastal erosion (its variability and change). Many of the driving processes are relevant in the Baltic Sea. Contributions vary over short distances and across timescales. Progress and research gaps are described in both understanding details in the region and in extending general concepts.
Santos J. González-Rojí, Sheila Carreno-Madinabeitia, Jon Sáenz, and Gabriel Ibarra-Berastegi
Hydrol. Earth Syst. Sci., 25, 3471–3492, https://doi.org/10.5194/hess-25-3471-2021, https://doi.org/10.5194/hess-25-3471-2021, 2021
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The simulation of precipitation extreme events is a known problem in modelling. That is why the atmospheric conditions favourable for its development as simulated by two WRF experiments are evaluated in this paper. The experiment including 3DVAR data assimilation outperforms the one without in simulating the TT index, CAPE, and CIN over the Iberian Peninsula. The ingredients for convective precipitation in winter are found at the Atlantic coast, but in summer they are at the Mediterranean coast.
Oliver Bothe and Eduardo Zorita
Clim. Past, 17, 721–751, https://doi.org/10.5194/cp-17-721-2021, https://doi.org/10.5194/cp-17-721-2021, 2021
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The similarity between indirect observations of past climates and information from climate simulations can increase our understanding of past climates. The further we look back, the more uncertain our indirect observations become. Here, we discuss the technical background for such a similarity-based approach to reconstruct past climates for up to the last 15 000 years. We highlight the potential and the problems.
Jon Sáenz, Sheila Carreno-Madinabeitia, Ganix Esnaola, Santos J. González-Rojí, Gabriel Ibarra-Berastegi, and Alain Ulazia
Geosci. Model Dev., 13, 3221–3240, https://doi.org/10.5194/gmd-13-3221-2020, https://doi.org/10.5194/gmd-13-3221-2020, 2020
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A new diagram for the verification of vector variables (wind, current, etc.) generated by multiple models against a set of observations is presented in this package. It has been designed as a generalization of the Taylor diagram for two-dimensional quantities. It is based on the analysis of the two-dimensional structure of the mean squared error matrix between model and observations, and it allows for an easy assessment of both bias and directional errors as well.
Oliver Bothe and Eduardo Zorita
Clim. Past, 16, 341–369, https://doi.org/10.5194/cp-16-341-2020, https://doi.org/10.5194/cp-16-341-2020, 2020
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One can use the similarity between sparse indirect observations of past climates and full fields of simulated climates to learn more about past climates. Here, we detail how one can compute uncertainty estimates for such reconstructions of past climates. This highlights the ambiguity of the reconstruction. We further show that such a reconstruction for European summer temperature agrees well with a more common approach.
Nele Tim, Eduardo Zorita, Kay-Christian Emeis, Franziska U. Schwarzkopf, Arne Biastoch, and Birgit Hünicke
Earth Syst. Dynam., 10, 847–858, https://doi.org/10.5194/esd-10-847-2019, https://doi.org/10.5194/esd-10-847-2019, 2019
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Our study reveals that the latitudinal position and intensity of Southern Hemisphere trades and westerlies are correlated. In the last decades the westerlies have shifted poleward and intensified. Furthermore, the latitudinal shifts and intensity of the trades and westerlies impact the sea surface temperatures around southern Africa and in the South Benguela upwelling region. The future development of wind stress depends on the strength of greenhouse gas forcing.
Maria Pyrina, Eduardo Moreno-Chamarro, Sebastian Wagner, and Eduardo Zorita
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2019-50, https://doi.org/10.5194/esd-2019-50, 2019
Revised manuscript not accepted
Oliver Bothe, Sebastian Wagner, and Eduardo Zorita
Earth Syst. Sci. Data, 11, 1129–1152, https://doi.org/10.5194/essd-11-1129-2019, https://doi.org/10.5194/essd-11-1129-2019, 2019
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Reconstructions try to extract a climate signal from paleo-observations. It is essential to understand their uncertainties. Similarly, comparing climate simulations and paleo-observations requires approaches to address their uncertainties. We describe a simple but flexible noise model for climate proxies for temperature on millennial timescales, which can assist these goals.
Francisco José Cuesta-Valero, Almudena García-García, Hugo Beltrami, Eduardo Zorita, and Fernando Jaume-Santero
Clim. Past, 15, 1099–1111, https://doi.org/10.5194/cp-15-1099-2019, https://doi.org/10.5194/cp-15-1099-2019, 2019
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A database of North American long-term ground surface temperatures, from approximately 1300 CE to 1700 CE, was assembled from geothermal data. These temperatures are useful for studying the future stability of permafrost, as well as for evaluating simulations of preindustrial climate that may help to improve estimates of climate models’ equilibrium climate sensitivity. The database will be made available to the climate science community.
Oliver Bothe, Sebastian Wagner, and Eduardo Zorita
Clim. Past, 15, 307–334, https://doi.org/10.5194/cp-15-307-2019, https://doi.org/10.5194/cp-15-307-2019, 2019
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Our understanding of future climate changes increases if different sources of information agree on past climate variations. Changing climates particularly impact local scales for which future changes in precipitation are highly uncertain. Here, we use information from observations, model simulations, and climate reconstructions for regional precipitation over the British Isles. We find these do not agree well on precipitation variations over the past few centuries.
Xing Yi, Birgit Hünicke, and Eduardo Zorita
Clim. Past Discuss., https://doi.org/10.5194/cp-2018-63, https://doi.org/10.5194/cp-2018-63, 2018
Revised manuscript not accepted
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In this study, we analyse the outputs of Earth System Models to investigate the Arabian Sea upwelling for the last 1000 years and in the 21st century. Due to the orbital forcing of the models, the upwelling in the past is found to reveal a negative long-term trend, which matches the observed sediment records. In the future under the RCP8.5 scenario, the warming of the sea water tends to stabilize the surface layer and thus interrupts the upwelling.
Sitar Karabil, Eduardo Zorita, and Birgit Hünicke
Earth Syst. Dynam., 9, 69–90, https://doi.org/10.5194/esd-9-69-2018, https://doi.org/10.5194/esd-9-69-2018, 2018
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We analysed the contribution of atmospheric factors to interannual off-shore sea-level variability in the Baltic Sea region. We identified a different atmospheric circulation pattern that is more closely linked to sea-level variability than the NAO. The inverse barometer effect contributes to that link in the winter and summer seasons. Freshwater flux is connected to the link in summer and net heat flux in winter.The new atmospheric-pattern-related wind forcing plays an important role in summer.
Sitar Karabil, Eduardo Zorita, and Birgit Hünicke
Earth Syst. Dynam., 8, 1031–1046, https://doi.org/10.5194/esd-8-1031-2017, https://doi.org/10.5194/esd-8-1031-2017, 2017
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We statistically analysed the mechanisms of the variability in decadal sea-level trends for the whole Baltic Sea basin over the last century. We used two different sea-level data sets and several climatic data sets. The results of this study showed that precipitation has a lagged effect on decadal sea-level trend variations from which the signature of atmospheric effect is removed. This detected underlying factor is not connected to oceanic forcing driven from the North Atlantic region.
Johann H. Jungclaus, Edouard Bard, Mélanie Baroni, Pascale Braconnot, Jian Cao, Louise P. Chini, Tania Egorova, Michael Evans, J. Fidel González-Rouco, Hugues Goosse, George C. Hurtt, Fortunat Joos, Jed O. Kaplan, Myriam Khodri, Kees Klein Goldewijk, Natalie Krivova, Allegra N. LeGrande, Stephan J. Lorenz, Jürg Luterbacher, Wenmin Man, Amanda C. Maycock, Malte Meinshausen, Anders Moberg, Raimund Muscheler, Christoph Nehrbass-Ahles, Bette I. Otto-Bliesner, Steven J. Phipps, Julia Pongratz, Eugene Rozanov, Gavin A. Schmidt, Hauke Schmidt, Werner Schmutz, Andrew Schurer, Alexander I. Shapiro, Michael Sigl, Jason E. Smerdon, Sami K. Solanki, Claudia Timmreck, Matthew Toohey, Ilya G. Usoskin, Sebastian Wagner, Chi-Ju Wu, Kok Leng Yeo, Davide Zanchettin, Qiong Zhang, and Eduardo Zorita
Geosci. Model Dev., 10, 4005–4033, https://doi.org/10.5194/gmd-10-4005-2017, https://doi.org/10.5194/gmd-10-4005-2017, 2017
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Climate model simulations covering the last millennium provide context for the evolution of the modern climate and for the expected changes during the coming centuries. They can help identify plausible mechanisms underlying palaeoclimatic reconstructions. Here, we describe the forcing boundary conditions and the experimental protocol for simulations covering the pre-industrial millennium. We describe the PMIP4 past1000 simulations as contributions to CMIP6 and additional sensitivity experiments.
Maria Pyrina, Sebastian Wagner, and Eduardo Zorita
Clim. Past, 13, 1339–1354, https://doi.org/10.5194/cp-13-1339-2017, https://doi.org/10.5194/cp-13-1339-2017, 2017
Svenja E. Bierstedt, Birgit Hünicke, Eduardo Zorita, and Juliane Ludwig
Earth Syst. Dynam., 8, 639–652, https://doi.org/10.5194/esd-8-639-2017, https://doi.org/10.5194/esd-8-639-2017, 2017
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We statistically analyse the relationship between the structure of migrating dunes in the southern Baltic and the driving wind conditions over the past 26 years, with the long-term aim of using migrating dunes as a proxy for past wind conditions at an interannual resolution.
Juan José Gómez-Navarro, Eduardo Zorita, Christoph C. Raible, and Raphael Neukom
Clim. Past, 13, 629–648, https://doi.org/10.5194/cp-13-629-2017, https://doi.org/10.5194/cp-13-629-2017, 2017
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This contribution aims at assessing to what extent the analogue method, a classic technique used in other branches of meteorology and climatology, can be used to perform gridded reconstructions of annual temperature based on the limited information from available but un-calibrated proxies spread across different locations of the world. We conclude that it is indeed possible, albeit with certain limitations that render the method comparable to more classic techniques.
Xing Yi and Eduardo Zorita
Clim. Past Discuss., https://doi.org/10.5194/cp-2016-124, https://doi.org/10.5194/cp-2016-124, 2016
Revised manuscript not accepted
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In this paper we study the upwelling in the Arabian Sea simulated in two Earth System Models for the last millennium and for the 21st century. Revealing a negative long-term trend due to the model orbital forcing, the upwelling over the last millennium is strongly correlated with the SST, the Indian summer Monsoon and the G.bulloides abundance observed in the sediment records. In the future scenarios the warming of the sea water tends to stabilize the surface layer and hinder the upwelling.
Nele Tim, Eduardo Zorita, Birgit Hünicke, Xing Yi, and Kay-Christian Emeis
Ocean Sci., 12, 807–823, https://doi.org/10.5194/os-12-807-2016, https://doi.org/10.5194/os-12-807-2016, 2016
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The impact of external climate forcing on the four eastern boundary upwelling systems is investigated for the recent past and future. Under increased radiative forcing, upwelling-favourable winds should strengthen due to unequal heating of land and oceans. However, coastal upwelling simulated in ensembles of climate simulations do not show any imprint of external forcing neither for the past millennium nor for the future, with the exception of the strongest future scenario.
Svenja E. Bierstedt, Birgit Hünicke, Eduardo Zorita, Sebastian Wagner, and Juan José Gómez-Navarro
Clim. Past, 12, 317–338, https://doi.org/10.5194/cp-12-317-2016, https://doi.org/10.5194/cp-12-317-2016, 2016
X. Yi, B. Hünicke, N. Tim, and E. Zorita
Ocean Sci. Discuss., https://doi.org/10.5194/osd-12-2683-2015, https://doi.org/10.5194/osd-12-2683-2015, 2015
Revised manuscript not accepted
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In this paper, we use the vertical water mass transport data provided by a high-resolution global ocean simulation to study the western Arabian Sea coastal upwelling system. Our results show that: 1). no significant long-term trend is detected in the upwelling time series. 2). the impact of Indian summer monsoon on the simulated upwelling is weak. 3). the upwelling is strongly affected by the sea level pressure gradient and the air temperature gradient.
J. J. Gómez-Navarro, O. Bothe, S. Wagner, E. Zorita, J. P. Werner, J. Luterbacher, C. C. Raible, and J. P Montávez
Clim. Past, 11, 1077–1095, https://doi.org/10.5194/cp-11-1077-2015, https://doi.org/10.5194/cp-11-1077-2015, 2015
N. Tim, E. Zorita, and B. Hünicke
Ocean Sci., 11, 483–502, https://doi.org/10.5194/os-11-483-2015, https://doi.org/10.5194/os-11-483-2015, 2015
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The atmospheric drivers of the Benguela upwelling systems and its variability are statistically analysed with an ocean-only simulation over the last decades. Atmospheric upwelling-favourable conditions are southerly wind/wind stress, a strong subtropical anticyclone, and an ocean-land sea level pressure gradient as well as a negative ENSO and a positive AAO phase. No long-term trends of upwelling and of ocean-minus-land air pressure gradients, as supposed by Bakun, can be seen in our analysis.
J. A. Santos, M. F. Carneiro, A. Correia, M. J. Alcoforado, E. Zorita, and J. J. Gómez-Navarro
Clim. Past, 11, 825–834, https://doi.org/10.5194/cp-11-825-2015, https://doi.org/10.5194/cp-11-825-2015, 2015
I. Herrero, A. Ezcurra, J. Areitio, J. Diaz-Argandoña, G. Ibarra-Berastegi, and J. Saenz
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-1-6467-2013, https://doi.org/10.5194/nhessd-1-6467-2013, 2013
Revised manuscript not accepted
J. J. Gómez-Navarro, J. P. Montávez, S. Wagner, and E. Zorita
Clim. Past, 9, 1667–1682, https://doi.org/10.5194/cp-9-1667-2013, https://doi.org/10.5194/cp-9-1667-2013, 2013
O. Bothe, J. H. Jungclaus, D. Zanchettin, and E. Zorita
Clim. Past, 9, 1089–1110, https://doi.org/10.5194/cp-9-1089-2013, https://doi.org/10.5194/cp-9-1089-2013, 2013
A. Fontán, G. Esnaola, J. Sáenz, and M. González
Ocean Sci., 9, 399–410, https://doi.org/10.5194/os-9-399-2013, https://doi.org/10.5194/os-9-399-2013, 2013
Related subject area
Approach: Remote Sensing | Depth range: Surface | Geographical range: Deep Seas: North Atlantic | Phenomena: Current Field
Joint analysis of coastal altimetry and high-frequency (HF) radar data: observability of seasonal and mesoscale ocean dynamics in the Bay of Biscay
Variability in the air–sea interaction patterns and timescales within the south-eastern Bay of Biscay, as observed by HF radar data
Ivan Manso-Narvarte, Ainhoa Caballero, Anna Rubio, Claire Dufau, and Florence Birol
Ocean Sci., 14, 1265–1281, https://doi.org/10.5194/os-14-1265-2018, https://doi.org/10.5194/os-14-1265-2018, 2018
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Our main aim is to compare two different measuring systems of the surface ocean currents: land-based, high-frequency radar and satellite altimetry. Results show that the surface currents detected by both systems agree up to a 70 %, mostly in areas of persistent currents. This work is a first step in the combination of both technologies for an improved monitoring of the coastal surface ocean dynamics.
A. Fontán, G. Esnaola, J. Sáenz, and M. González
Ocean Sci., 9, 399–410, https://doi.org/10.5194/os-9-399-2013, https://doi.org/10.5194/os-9-399-2013, 2013
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