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L. Aulus-Giacosa, J.-C. Aymes, P. Gaudin, M. Vignon, L. Aulus-Giacosa, J.-C. Aymes, P. Gaudin, M. Vignon |
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Title |
Hierarchical variance decomposition of fish scale growth and age to investigate the relative contributions of readers and scales |
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Year |
2019 |
Publication |
Marine and freshwater research |
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70 |
Issue |
12 |
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1828-1837 |
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Abstract |
Correct estimation of interindividual variability is of primary importance in models aiming to quantify population dynamics. In a fisheries context, individual information such as age and growth is often extracted using scales; however, the rationale for using a given scalimetric method (i.e. number of scales per individual and number of readers) is rarely discussed, but different sources of variance may affect the results. As a case study, we used scale growth and age of brown trout (Salmo trutta) caught in the Kerguelen Islands. Based on a nested design (readings of four scales per fish by two independent readers), we decomposed variance in growth and age according to fish (interindividual level), scales (intraindividual level) and readers by using repeatability analysis. The results highlight that most variation is attributable to fish. Readers and scales contribute little to interindividual variance, suggesting that inference was insensitive to intraorganism biological variation. Using additional scales or readers was an inefficient use of sampling resources. We argue that variance decomposition should be widely used for studies aimed at modelling natural variability in life history traits. This would improve our knowledge of the implications of measurement error, helping rationalise and define appropriate sampling strategies. |
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1041 |
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1448-6059, 1448-6059 |
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yes |
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8021 |
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Title |
Echo occurrence in the southern polar ionosphere for the SuperDARN Dome C East and Dome C North radars |
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Year |
2021 |
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Polar Science |
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Volume |
28 |
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Pages |
100684 |
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Keywords |
Echo occurrence IRI model Polar cap radars Ray-tracing |
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Abstract |
In this paper, echo occurrence rates for the Dome C East (DCE) and the new Dome C North (DCN) radars are studied. We report the ionospheric and ground scatter echo occurrence rates for selected periods around equinoxes and solstices in the final part of the solar cycle XXIV. The occurrence maps built in Altitude Adjusted Corrected Geomagnetic latitude and Magnetic Local Time coordinates show peculiar patterns highly variable with season. The comparisons of the radar observations with the International Reference Ionosphere model electron density and with ray tracing simulations allow us to explain the major features of observed patterns in terms of electron density variations. The study shows the great potential of the DCE and DCN radar combination to the Super Dual Auroral Radar Network (SuperDARN) convection mapping in terms of monitoring key regions of the high-latitude ionosphere critical for understanding of the magnetospheric dynamics. |
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312 |
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1873-9652 |
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8020 |
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2021 |
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Natural Hazards and Earth System Sciences Discussions |
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1-25 |
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133 |
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1561-8633 |
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yes |
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8019 |
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Author |
Robert E. Anthony, Adam T. Ringler, Michael DuVernois, Kent R. Anderson, David C. Wilson |
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Title |
Six Decades of Seismology at South Pole, Antarctica: Current Limitations and Future Opportunities to Facilitate New Geophysical Observations |
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Year |
2021 |
Publication |
Seismological Research Letters |
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Volume |
92 |
Issue |
5 |
Pages |
2718-2735 |
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133 |
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0895-0695 |
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yes |
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8018 |
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Fabrizio Magrini, Dario Jozinovi?, 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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2020 |
Publication |
Artificial Intelligence in Geosciences |
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1 |
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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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133 |
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2666-5441 |
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yes |
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8017 |
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Author |
Lucia Gualtieri, Etienne Bachmann, Frederik J Simons, Jeroen Tromp |
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Title |
Generation of secondary microseism Love waves: effects of bathymetry, 3-D structure and source seasonality |
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Year |
2021 |
Publication |
Geophysical Journal International |
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Volume |
226 |
Issue |
1 |
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192-219 |
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133 |
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0956-540X |
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yes |
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8016 |
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Author |
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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209 |
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2169-8996 |
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yes |
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8015 |
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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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Year |
2020 |
Publication |
Atmospheric Chemistry and Physics |
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Volume |
20 |
Issue |
13 |
Pages |
8017-8045 |
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209 |
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ISSN |
1680-7316 |
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yes |
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8014 |
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Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks |
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Year |
2021 |
Publication |
Atmospheric Measurement Techniques |
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14 |
Issue |
1 |
Pages |
481-510 |
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This Paper Reports On Consolidated Ground-based Validation Results Of The Atmospheric No2 Data Produced Operationally Since April 2018 By The Tropospheric Monitoring Instrument (Tropomi) On Board Of The Esa/eu Copernicus Sentinel-5 Precursor (S5p) Satellite. Tropospheric, Stratospheric, And Total No2 Column Data From S5p Are Compared To Correlative Measurements Collected From, Respectively, 19 Multi-axis Differential Optical Absorption Spectroscopy (Max-doas), 26 Network For The Detection Of Atmospheric Composition Change (Ndacc) Zenith-scattered-light Doas (Zsl-doas), And 25 Pandonia Global Network (Pgn)/pandora Instruments Distributed Globally. The Validation Methodology Gives Special Care To Minimizing Mismatch Errors Due To Imperfect Spatio-temporal Co-location Of The Satellite And Correlative Data, E.g. By Using Tailored Observation Operators To Account For Differences In Smoothing And In Sampling Of Atmospheric Structures And Variability And Photochemical Modelling To Reduce Diurnal Cycle Effects. Compared To The Ground-based Measurements, S5p Data Show, On Average, (I) A Negative Bias For The Tropospheric Column Data, Of Typically ?23 % To ?37 % In Clean To Slightly Polluted Conditions But Reaching Values As High As ?51 % Over Highly Polluted Areas; (Ii) A Slight Negative Median Difference For The Stratospheric Column Data, Of About ?0.2 Pmolec Cm?2, I.e. Approx. ?2 % In Summer To ?15 % In Winter; And (Iii) A Bias Ranging From Zero To ?50 % For The Total Column Data, Found To Depend On The Amplitude Of The Total No2 Column, With Small To Slightly Positive Bias Values For Columns Below 6 Pmolec Cm?2 And Negative Values Above. The Dispersion Between S5p And Correlative Measurements Contains Mostly Random Components, Which Remain Within Mission Requirements For The Stratospheric Column Data (0.5 Pmolec Cm?2) But Exceed Those For The Tropospheric Column Data (0.7 Pmolec Cm?2). While A Part Of The Biases And Dispersion May Be Due To Representativeness Differences Such As Different Area Averaging And Measurement Times, It Is Known That Errors In The S5p Tropospheric Columns Exist Due To Shortcomings In The (Horizontally Coarse) A Priori Profile Representation In The Tm5-mp Chemical Transport Model Used In The S5p Retrieval And, To A Lesser Extent, To The Treatment Of Cloud Effects And Aerosols. Although Considerable Differences (Up To 2 Pmolec Cm?2 And More) Are Observed At Single Ground-pixel Level, The Near-real-time (Nrti) And Offline (Offl) Versions Of The S5p No2 Operational Data Processor Provide Similar No2 Column Values And Validation Results When Globally Averaged, With The Nrti Values Being On Average 0.79 % Larger Than The Offl Values. |
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209 |
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ISSN |
1867-1381 |
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yes |
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8013 |
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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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4 |
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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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Abstract |
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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8012 |
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