Extreme separations of bottle posts in the southern Baltic Sea – tentative interpretation of an experiment-of-opportunity

Autor: Ulrich Callies, Hans von Storch

Publikováno v: Oceanologia, Vol 65, Iss 2, Pp 410-422 (2023)

During an experiment-of-opportunity in July 2019, 27 drift bottles were released in the southern Baltic Sea. Ten of these bottles were found and reported at locations that were surprisingly widespread. In this study, we explore the chances to reprodu

Externí odkaz: https://doaj.org/article/e772690fba0a42bd90b9231f605399cb

On Using Lagrangian Drift Simulations to Aid Interpretation of in situ Monitoring Data

Autor: Ulrich Callies, Markus Kreus, Wilhelm Petersen, Yoana G. Voynova

Publikováno v: Frontiers in Marine Science, Vol 8 (2021)

One key challenge of marine monitoring programs is to reasonably combine information from different in situ observations spread in space and time. In that context, we suggest the use of Lagrangian transport simulations extending both forward and back

Externí odkaz: https://doaj.org/article/c0c899fdc32944059d691dcaa2c8e7b7

Potential Impacts of Offshore Wind Farms on North Sea Stratification.

Autor: Jeffrey R Carpenter, Lucas Merckelbach, Ulrich Callies, Suzanna Clark, Lidia Gaslikova, Burkard Baschek

Publikováno v: PLoS ONE, Vol 11, Iss 8, p e0160830 (2016)

Advances in offshore wind farm (OWF) technology have recently led to their construction in coastal waters that are deep enough to be seasonally stratified. As tidal currents move past the OWF foundation structures they generate a turbulent wake that

Externí odkaz: https://doaj.org/article/36351f1ab52541febd7ff70a0e34b949

Data Analysis and Exploration with Scientific Workflows

Autor: Doris Dransch, Daniel Eggert, Nicola Abraham, Laurens M. Bouwer, Holger Brix, Ulrich Callies, Thomas Kalbacher, Stefan Lüdtke, Bruno Merz, Christine Nam, Erik Nixdorf, Daniela Rabe, Diana Rechid, Kai Schröter, Bente Tiedje, Dadiyorto Wendi, Viktoria Wichert

Publikováno v: Integrating Data Science and Earth Science
SpringerBriefs in Earth System Sciences
Dransch, D.; Eggert, D.; Abraham, N.; Bouwer, L.; Brix, H.; Callies, U.; Kalbacher, T.; Lüdtke, S.; Merz, B.; Nam, C.; Nixdorf, E.; Rabe, D.; Rechid, D.; Schröter, K.; Tiedje, B.; Wendi, D.; Wichert, V.: Data Analysis and Exploration with Scientific Workflows. In: Bouwer, L.M.; Dransch, D.; Ruhnke, R.; Rechid, D.; Frickenhaus, S.; Greinert, J. (ed.): Integrating Data Science and Earth Science : Challenges and Solutions. Cham: Springer, 2022. 55-84. (DOI: /10.1007/978-3-030-99546-1_5) (ISBN: 978-3-030-99545-4)
Integrating Data Science and Earth Science ISBN: 9783030995454

Geoscientific data analysis has to face some challenges regarding seamless data analysis chains, reuse of methods and tools, interdisciplinary approaches and digitalization. Computer science and data science offer concepts to face these challenges. W

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23731201a1f20495b5caa303e80c68a2
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5012690

Surrogate-Enhanced Parameter Inference for Function-Valued Models

Autor: Christopher G. Albert, Ulrich Callies, Udo von Toussaint

Publikováno v: Albert, C.; Callies, U.; von Toussaint, U.: Surrogate-Enhanced Parameter Inference for Function-Valued Models. In: Physical Sciences Forum. Vol. 3 Basel: MDPI, 2021. 1, 11. (DOI: /10.3390/psf2021003011)

We present an approach to enhance the performance and flexibility of the Bayesian inference of model parameters based on observations of the measured data. Going beyond the usual surrogate-enhanced Monte-Carlo or optimization methods that focus on a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb06a41bb765343777ed7f63edde9328
https://publications.hzg.de/id/50300