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First Steps towards a near Real-Time Modelling System of Vibrio vulnificus in the Baltic Sea

International Journal of Environmental Research and Public Health
2023-04-17 | Journal article
DOI: 10.3390/ijerph20085543
Contributors: Eike M. Schütt; Marie A. J. Hundsdörfer; Avril J. E. von Hoyningen-Huene; Xaver Lange; Agnes Koschmider; Natascha Oppelt
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Regionalizing the sea-level budget with machine learning techniques

Ocean Science
2023-01-16 | Journal article
DOI: 10.5194/os-19-17-2023
Contributors: Carolina M. L. Camargo; Riccardo E. M. Riva; Tim H. J. Hermans; Eike M. Schütt; Marta Marcos; Ismael Hernandez-Carrasco; Aimée B. A. Slangen
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Regionalizing the Sea-level Budget With Machine Learning Techniques

2022-09-13 | Preprint
DOI: 10.5194/egusphere-2022-876
Contributors: Carolina M. L. Camargo; Riccardo E. M. Riva; Tim H. J. Hermans; Eike M. Schütt; Marta Marcos; Ismael Hernandez-Carrasco; Aimée B. A. Slangen
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Dataset of five years of in situ and satellite derived chlorophyll a concentrations and its spatiotemporal variability in the Rotorua Te Arawa Lakes, New Zealand

Data in Brief
2022-02 | Journal article
DOI: 10.1016/j.dib.2021.107759
Contributors: Eike M Schütt; Moritz K Lehmann; Martin Hieronymi; James Dare; Hajo Krasemann; Darryn Hitchcock; Amy Platt; Klay Amai; Tasman McKelvey
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Analysis of recurring patchiness in satellite-derived chlorophyll a to aid the selection of representative sites for lake water quality monitoring

International Journal of Applied Earth Observation and Geoinformation
2021-12 | Journal article
DOI: 10.1016/j.jag.2021.102547
Part of ISSN: 1569-8432
Source: Self-asserted source
Eike Martin Schütt
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