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Jouanneau W, Léandri-Breton DJ, Moe B, Parenteau C, Herzke D, Elliott K, Gabrielsen GW, Chastel O |
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Transfert maternel de contaminants et perturbation endocrine chez un oiseau marin Arctique |
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Peer-reviewed symposium |
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2020 |
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16émes journées scientifiques du CNFRA, 22-23 septembre 2020, La Rochelle, France |
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330 |
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8046 |
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Chastel O |
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Contaminants of Growing Concern: Poly- and Perfluoroalkylated Substances (PFAS) and their Physiological Consequences in Seabirds |
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Peer-reviewed symposium |
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2020 |
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SETAC North-America 41st Annual Meeting, Fort Worth, TX, USA (15-19 November 2020), virtual |
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330 |
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8035 |
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Tartu S., Blévin P., Bustamante P., Angelier A., Bech C., Bustnes J.o., Gabrielsen G.w., Goutte A., Moe B., Sauser C., Sire J., Barbraud C., Chastel O |
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Title |
Drivers and trends of mercury exposure in Svalbard kittiwakes in a warming context over 17 years |
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Peer-reviewed symposium |
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2020 |
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Setac north-america 41st annual meeting, fort worth, tx, usa (15-19 november 2020) virtual |
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330 |
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8034 |
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Sanne Muis, Maialen Irazoqui Apecechea, Job Dullaart, Joao de Lima Rego, Kristine Skovgaard Madsen, Jian Su, Kun Yan, Martin Verlaan |
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Title |
A High-Resolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections |
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2020 |
Publication |
Frontiers in Marine Science |
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7 |
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263 |
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The world’s coastal areas are increasingly at risk of coastal flooding due to sea-level rise (SLR). We present a novel global dataset of extreme sea levels, the Coastal Dataset for the Evaluation of Climate Impact (CoDEC), which can be used to accurately map the impact of climate change on coastal regions around the world. The third generation Global Tide and Surge Model (GTSM), with a coastal resolution of 2.5 km (1.25 km in Europe), was used to simulate extreme sea levels for the ERA5 climate reanalysis from 1979 to 2017, as well as for future climate scenarios from 2040 to 2100. The validation against observed sea levels demonstrated a good performance, and the annual maxima had a mean bias (MB) of -0.04 m, which is 50% lower than the MB of the previous GTSR dataset. By the end of the century (2071–2100), it is projected that the 1 in 10-year water levels will have increased 0.34 m on average for RCP4.5, while some locations may experience increases of up to 0.5 m. The change in return levels is largely driven by SLR, although at some locations changes in storms surges and interaction with tides amplify the impact of SLR with changes up to 0.2 m. By presenting an application of the CoDEC dataset to the city of Copenhagen, we demonstrate how climate impact indicators derived from simulation can contribute to an understanding of climate impact on a local scale. Moreover, the CoDEC output locations are designed to be used as boundary conditions for regional models, and we envisage that they will be used for dynamic downscaling. |
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688 |
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2296-7745 |
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8031 |
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Aymeric Fromant, Charles-André Bost, Paco Bustamante, Alice Carravieri, Yves Cherel, Karine Delord, Yonina H. Eizenberg, Colin M. Miskelly, John P. Y. Arnould |
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Title |
Temporal and spatial differences in the post-breeding behaviour of a ubiquitous Southern Hemisphere seabird, the common diving petrel |
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Year |
2020 |
Publication |
Royal Society Open Science |
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Volume |
7 |
Issue |
11 |
Pages |
200670 |
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Keywords |
migration moult non-breeding Procellariiformes Southern Ocean stable isotopes |
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Abstract |
The non-breeding period plays a major role in seabird survival and population dynamics. However, our understanding of the migratory behaviour, moulting and feeding strategies of non-breeding seabirds is still very limited, especially for small-sized species. The present study investigated the post-breeding behaviour of three distant populations (Kerguelen Archipelago, southeastern Australia, New Zealand) of the common diving petrel (CDP) (Pelecanoides urinatrix), an abundant, widely distributed zooplanktivorous seabird breeding throughout the southern Atlantic, Indian and Pacific oceans. The timing, geographical destination and activity pattern of birds were quantified through geolocator deployments during the post-breeding migration, while moult pattern of body feathers was investigated using stable isotope analysis. Despite the high energetic cost of flapping flight, all the individuals quickly travelled long distances (greater than approx. 2500 km) after the end of the breeding season, targeting oceanic frontal systems. The three populations, however, clearly diverged spatially (migration pathways and destinations), and temporally (timing and duration) in their post-breeding movements, as well as in their period of moult. Philopatry to distantly separated breeding grounds, different breeding phenologies and distinct post-breeding destinations suggest that the CDP populations have a high potential for isolation, and hence, speciation. These results contribute to improving knowledge of ecological divergence and evolution between populations, and inform the challenges of conserving migratory species. |
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394 |
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8029 |
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Sarah C. Davidson, Gil Bohrer, Eliezer Gurarie, Scott LaPoint, Peter J. Mahoney, Natalie T. Boelman, Jan U. H. Eitel, Laura R. Prugh, Lee A. Vierling, Jyoti Jennewein, Emma Grier, Ophélie Couriot, Allicia P. Kelly, Arjan J. H. Meddens, Ruth Y. Oliver, Roland Kays, Martin Wikelski, Tomas Aarvak, Joshua T. Ackerman, José A. Alves, Erin Bayne, Bryan Bedrosian, Jerrold L. Belant, Andrew M. Berdahl, Alicia M. Berlin, Dominique Berteaux, Joël Bêty, Dmitrijs Boiko, Travis L. Booms, Bridget L. Borg, Stan Boutin, W. Sean Boyd, Kane Brides, Stephen Brown, Victor N. Bulyuk, Kurt K. Burnham, David Cabot, Michael Casazza, Katherine Christie, Erica H. Craig, Shanti E. Davis, Tracy Davison, Dominic Demma, Christopher R. DeSorbo, Andrew Dixon, Robert Domenech, Götz Eichhorn, Kyle Elliott, Joseph R. Evenson, Klaus-Michael Exo, Steven H. Ferguson, Wolfgang Fiedler, Aaron Fisk, Jérôme Fort, Alastair Franke, Mark R. Fuller, Stefan Garthe, Gilles Gauthier, Grant Gilchrist, Petr Glazov, Carrie E. Gray, David Grémillet, Larry Griffin, Michael T. Hallworth, Autumn-Lynn Harrison, Holly L. Hennin, J. Mark Hipfner, James Hodson, James A. Johnson, Kyle Joly, Kimberly Jones, Todd E. Katzner, Jeff W. Kidd, Elly C. Knight, Michael N. Kochert, Andrea Kölzsch, Helmut Kruckenberg, Benjamin J. Lagassé, Sandra Lai, Jean-François Lamarre, Richard B. Lanctot, Nicholas C. Larter, A. David M. Latham, Christopher J. Latty, James P. Lawler, Don-Jean Léandri-Breton, Hansoo Lee, Stephen B. Lewis, Oliver P. Love, Jesper Madsen, Mark Maftei, Mark L. Mallory, Buck Mangipane, Mikhail Y. Markovets, Peter P. Marra, Rebecca McGuire, Carol L. McIntyre, Emily A. McKinnon, Tricia A. Miller, Sander Moonen, Tong Mu, Gerhard J. D. M. Müskens, Janet Ng, Kerry L. Nicholson, Ingar Jostein Øien, Cory Overton, Patricia A. Owen, Allison Patterson, Aevar Petersen, Ivan Pokrovsky, Luke L. Powell, Rui Prieto, Petra Quillfeldt, Jennie Rausch, Kelsey Russell, Sarah T. Saalfeld, Hans Schekkerman, Joel A. Schmutz, Philipp Schwemmer, Dale R. Seip, Adam Shreading, Mónica A. Silva, Brian W. Smith, Fletcher Smith, Jeff P. Smith, Katherine R. S. Snell, Aleksandr Sokolov, Vasiliy Sokolov, Diana V Solovyeva, Mathew S. Sorum, Grigori Tertitski, J. F. Therrien, Kasper Thorup, T. Lee Tibbitts, Ingrid Tulp, Brian D. Uher-Koch, Rob S. A. van Bemmelen, Steven Van Wilgenburg, Andrew L. Von Duyke, Jesse L. Watson, Bryan D. Watts, Judy A. Williams, Matthew T. Wilson, James R. Wright, Michael A. Yates, David J. Yurkowski, Ramūnas Žydelis, Mark Hebblewhite |
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Title |
Ecological insights from three decades of animal movement tracking across a changing Arctic |
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Year |
2020 |
Publication |
Science |
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Volume |
370 |
Issue |
6517 |
Pages |
712-715 |
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388 |
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yes |
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8024 |
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Author |
Fabrizio Magrini, Dario Jozinović, Fabio Cammarano, Alberto Michelini, Lapo Boschi |
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Title |
Local earthquakes detection: A benchmark dataset of 3-component seismograms built on a global scale |
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Year |
2020 |
Publication |
Artificial Intelligence in Geosciences |
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Volume |
1 |
Issue |
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Pages |
1-10 |
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Keywords |
Benchmark dataset Earthquake detection algorithm Seismology Supervised machine learning |
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Abstract |
Machine learning is becoming increasingly important in scientific and technological progress, due to its ability to create models that describe complex data and generalize well. The wealth of publicly-available seismic data nowadays requires automated, fast, and reliable tools to carry out a multitude of tasks, such as the detection of small, local earthquakes in areas characterized by sparsity of receivers. A similar application of machine learning, however, should be built on a large amount of labeled seismograms, which is neither immediate to obtain nor to compile. In this study we present a large dataset of seismograms recorded along the vertical, north, and east components of 1487 broad-band or very broad-band receivers distributed worldwide; this includes 629,095 3-component seismograms generated by 304,878 local earthquakes and labeled as EQ, and 615,847 ones labeled as noise (AN). Application of machine learning to this dataset shows that a simple Convolutional Neural Network of 67,939 parameters allows discriminating between earthquakes and noise single-station recordings, even if applied in regions not represented in the training set. Achieving an accuracy of 96.7, 95.3, and 93.2% on training, validation, and test set, respectively, we prove that the large variety of geological and tectonic settings covered by our data supports the generalization capabilities of the algorithm, and makes it applicable to real-time detection of local events. We make the database publicly available, intending to provide the seismological and broader scientific community with a benchmark for time-series to be used as a testing ground in signal processing. |
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2666-5441 |
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yes |
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8017 |
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J. Jumelet, A. R. Klekociuk, S. P. Alexander, S. Bekki, A. Hauchecorne, J. P. Vernier, M. Fromm, P. Keckhut |
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Title |
Detection of Aerosols in Antarctica From Long-Range Transport of the 2009 Australian Wildfires |
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Year |
2020 |
Publication |
Journal of Geophysical Research: Atmospheres |
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Volume |
125 |
Issue |
23 |
Pages |
e2020JD032542 |
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Keywords |
aerosols Antarctica bushfires lidar |
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Abstract |
We analyze the long-range transport to high latitudes of a smoke particle filament originating from the extratropics plume after the Australian wildfires colloquially known as “Black Saturday” on 7 February and report the first Antarctic stratospheric lidar characterization of such aerosols. Using a high-resolution transport/microphysical model, we show that the monitoring cloud/aerosol lidar instrument operating at the French Antarctic station Dumont d'Urville (DDU, 66°S to 140°E) recorded a signature of those aerosols. The 532 nm scattering ratio of this filament is comparable to typical moderate stratospheric volcanic plume, with values between 1.4 and 1.6 on the first and third days of March above DDU station at around the 14 and 16 km altitude, respectively. A dedicated model is described and its ability to track down fine optical signatures is validated against Antarctic lidar elastic aerosol and DIAL ozone measurements. Using 1 month of tropical Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data to support a relatively simple microphysical scheme, we report modeled aerosol presence above DDU station after advection of the aerosol size distribution. In situ measurements also report associated positive ozone anomaly. This case study provides evidence that biomass burning events injecting significant amounts of material up to stratospheric altitudes can be transported toward high latitudes. We highlight a potential imprint of smoke particles on the Antarctic atmosphere over larger time scales. Any underestimation of the global impact of such deep particle transport will lead to uncertainties in modeling the associated chemical or radiative effects, especially in polar regions, where specific microphysical and chemical processes take place. |
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209 |
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2169-8996 |
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yes |
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8015 |
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Steven Compernolle, Tijl Verhoelst, Gaia Pinardi, José Granville, Daan Hubert, Arno Keppens, Sander Niemeijer, Bruno Rino, Alkis Bais, Steffen Beirle, Folkert Boersma, John P. Burrows, Isabelle De Smedt, Henk Eskes, Florence Goutail, François Hendrick, Alba Lorente, Andrea Pazmino, Ankie Piters, Enno Peters, Jean-Pierre Pommereau, Julia Remmers, Andreas Richter, Jos van Geffen, Michel Van Roozendael, Thomas Wagner, Jean-Christopher Lambert |
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Title |
Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties |
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2020 |
Publication |
Atmospheric Chemistry and Physics |
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Volume |
20 |
Issue |
13 |
Pages |
8017-8045 |
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Abstract |
The Qa4ecv (Quality Assurance For Essential Climate Variables) Version 1.1 Stratospheric And Tropospheric No2 Vertical Column Density (Vcd) Climate Data Records (Cdrs) From The Omi (Ozone Monitoring Instrument) Satellite Sensor Are Validated Using Ndacc (Network For The Detection Of Atmospheric Composition Change) Zenith-scattered Light Differential Optical Absorption Spectroscopy (Zsl-doas) And Multi-axis Doas (Max-doas) Data As A Reference. The Qa4ecv Omi Stratospheric Vcds Have A Small Bias Of ∼0.2 Pmolec.cm-2 (5 %–10 %) And A Dispersion Of 0.2 To 1 Pmolec.cm-2 With Respect To The Zsl-doas Measurements. Qa4ecv Tropospheric Vcd Observations From Omi Are Restricted To Near-cloud-free Scenes, Leading To A Negative Sampling Bias (With Respect To The Unrestricted Scene Ensemble) Of A Few Peta Molecules Per Square Centimetre (Pmolec.cm-2) Up To −10 Pmolec.cm-2 (−40 %) In One Extreme High-pollution Case. The Qa4ecv Omi Tropospheric Vcd Has A Negative Bias With Respect To The Max-doas Data (−1 To −4 Pmolec.cm-2), Which Is A Feature Also Found For The Omi Omno2 Standard Data Product. The Tropospheric Vcd Discrepancies Between Satellite Measurements And Ground-based Data Greatly Exceed The Combined Measurement Uncertainties. Depending On The Site, Part Of The Discrepancy Can Be Attributed To A Combination Of Comparison Errors (Notably Horizontal Smoothing Difference Error), Measurement/retrieval Errors Related To Clouds And Aerosols, And The Difference In Vertical Smoothing And A Priori Profile Assumptions. |
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209 |
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1680-7316 |
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8014 |
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Sylvie Duchesne, R Bravina, V POPOV, S Kolodeznikov, P Gérard, V Myglan, Ch Hochstrasser-Petit, L Romanova, M Petit, N Kirianov, A Alexeev, L Alekseeva, A Riberon, E Crubézy |
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Title |
Frozen graves of Yakutia, a chronological sequence |
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Year |
2020 |
Publication |
VESTNIK ARHEOLOGII, ANTROPOLOGII I ETNOGRAFII |
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Volume |
4 |
Issue |
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Pages |
120-130 |
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Keywords |
artefacts Christianization chronology funeral practices modern period soil burial Yakutia Yakuts |
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Distribution, cultural and chronological attribution of frozen graves of Yakutia between the beginning of 17th and end of 19th century. The funerary rites and the artefacts allow to differentiate four chrono-cultural periods (before 1700 AD, from 1700 to 1750 AD, from 1750 to 1800 AD and after 1800 AD) which could be associated with historical events: opening of the trading post of Nertchinsk, expansion of the Kangalasky clan, economic collapse, generalization of Christianization. |
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1038 |
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Call Number |
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Serial |
8012 |
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| Permanent link to this record |
