Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Willi Rath"'
Autor:
Elodie Portanier, Amandine Nicolle, Willi Rath, Lorraine Monnet, Gregoire Le Goff, Anne-Sophie Le Port, Claire Daguin-Thiébaut, Cheryl L. Morrison, Marina R. Cunha, Melissa Betters, Craig M. Young, Cindy L. Van Dover, Arne Biastoch, Eric Thiébaut, Didier Jollivet
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
In highly fragmented and relatively stable cold-seep ecosystems, species are expected to exhibit high migration rates and long-distance dispersal of long-lived pelagic larvae to maintain genetic integrity over their range. Accordingly, several specie
Externí odkaz:
https://doaj.org/article/ad5560dfa9f647d1ab3798f173821199
Publikováno v:
Environmental Data Science, Vol 2 (2023)
Machine learning (ML) and in particular deep learning (DL) methods push state-of-the-art solutions for many hard problems, for example, image classification, speech recognition, or time series forecasting. In the domain of climate science, ML and DL
Externí odkaz:
https://doaj.org/article/6fb12ee7d0e44d968dce15376b8dbfc9
Autor:
Rebecca Hummels, Marcus Dengler, Willi Rath, Gregory R. Foltz, Florian Schütte, Tim Fischer, Peter Brandt
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
How the tropical mixed layer of the ocean reacts to near-inertial waves has rarely been observed directly. Here, the authors present new data that shows strongly elevated vertical diffusive heat flux in the presence of near-inertial waves, causing a
Externí odkaz:
https://doaj.org/article/80321842010d427b904b0a25fda1a279
Publikováno v:
Informatik Spektrum. 45:300-303
Interactive exploration of Earth system simulations may have great potential to improve the scientific modeling process. It will allow monitoring of the state of the simulation via dashboards presenting real-time diagnostics within a digital twin wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2395e9ea3e94782f8c288713a69ea92
https://doi.org/10.1007/s00287-022-01490-z
https://doi.org/10.1007/s00287-022-01490-z
Data-driven Attributing of Climate Events with Climate Index Collection based on Model Data (CICMoD)
Machine learning (ML) and in particular artificial neural networks (ANNs) push state-of-the-art solutions for many hard problems e.g., image classification, speech recognition or time series forecasting. In the domain of climate science, ANNs have go
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2a2e8d9892adcef611924dd18f37193
https://doi.org/10.5194/egusphere-egu23-984
https://doi.org/10.5194/egusphere-egu23-984
Lagrangian particle dispersal simulations are widely used for studying directed connectivity between different locations in the ocean. They are used, both, for the understanding of ocean physics and for interdisciplinary questions. One biological exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e3668531adb8bc67bd978e9c07b4511
https://doi.org/10.5194/egusphere-egu23-6036
https://doi.org/10.5194/egusphere-egu23-6036
Autor:
Roy Dorgeless Ngakala, Gaël Alory, Casimir Yélognissè Da-Allada, Olivia Estelle Kom, Julien Jouanno, Willi Rath, Ezinvi Baloïtcha
In this study, we use a joint observation–model approach to investigate the mixed-layer heat and salt annual mean as well as seasonal budgets in the eastern tropical Atlantic. The regional PREFCLIM (PREFACE Climatology) observational climatology pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4199ba0bd2b69420747a5027ad7dc45
https://os.copernicus.org/articles/19/535/2023/
https://os.copernicus.org/articles/19/535/2023/
Autor:
Alan D. Fox, Arne Biastoch, Stuart A. Cunningham, Neil Fraser, Patricia Handmann, N. Penny Holliday, Clare Johnson, Torge Martin, Marilena Oltmanns, Willi Rath, Siren Rühs, Alejandra Sanchez-Franks, Christina Schmidt
Observations of the eastern subpolar North Atlantic in the 2010s show exceptional freshening and cooling of the upper ocean, peaking in 2016 with the lowest salinities recorded for 120 years. Published theories for the mechanisms driving the fresheni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d24134973e800d5dc1d2ff7d9b68250
https://os.copernicus.org/preprints/os-2022-18/
https://os.copernicus.org/preprints/os-2022-18/
Lagrangian experiments for particle tracing in atmosphere or ocean models and their analysis are a cornerstone of earth-system studies. They cover diverse study objectives such as the identification of pathways or source regions. Data for Lagrangian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3439d4c6063f49a93caa22c80be14f6b
https://doi.org/10.5194/egusphere-egu22-5631
https://doi.org/10.5194/egusphere-egu22-5631
Publikováno v:
[Paper] In: 17. International Symposium on Spatial and Temporal Databases, SSTD 2021, 23.-25.08.2021, Online ; pp. 126-129 .
SSTD
SSTD
The distribution of passively drifting particles within highly turbulent flows is a classic problem in marine sciences. The use of trajectory clustering on huge amounts of simulated marine trajectory data to identify main pathways of drifting particl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a2b06a2dc0a945288848f9fd4557345
http://oceanrep.geomar.de/54051/
http://oceanrep.geomar.de/54051/