Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hermann J. Lenhart"'
Autor:
Sonja M. van Leeuwen, Hermann-J. Lenhart, Theo C. Prins, Anouk Blauw, Xavier Desmit, Liam Fernand, Rene Friedland, Onur Kerimoglu, Genevieve Lacroix, Annelotte van der Linden, Alain Lefebvre, Johan van der Molen, Martin Plus, Itzel Ruvalcaba Baroni, Tiago Silva, Christoph Stegert, Tineke A. Troost, Lauriane Vilmin
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
The pre-eutrophic state of marine waters is generally not well known, complicating target setting for management measures to combat eutrophication. We present results from an OSPAR ICG-EMO model assessment to simulate the pre-eutrophic state of North
Externí odkaz:
https://doaj.org/article/919de1993e6b48589f473a309ec86f9f
Publikováno v:
Meteorologische Zeitschrift, Vol 24, Iss 5, Pp 465-480 (2015)
Wind farms impact the local meteorology by taking up kinetic energy from the wind field and by creating a large wake. The wake influences mean flow, turbulent fluxes and vertical mixing. In the present study, the influences of large offshore wind far
Externí odkaz:
https://doaj.org/article/cf2ac0298c104db6b0450d4c2ef3e8bd
Publikováno v:
The Science of the total environment. 639
We employed a coupled physical-biogeochemical modelling framework for the reconstruction of the historic (H), pre-industrial state of a coastal system, the German Bight (southeastern North Sea), and we investigated its differences with the recent, co
Autor:
Meinte Blaas, Wilfried Kühn, Alice Vanhoutte-Brunier, Hans J. Los, Piet Ruardij, Hanneke Baretta-Bekker, X. Desmit, Morten D. Skogen, Geneviève Lacroix, Ramiro Neves, Sarah Wakelin, Roger Proctor, Alain Menesguen, Sonja M. van Leeuwen, Hermann J. Lenhart, David Mills, J.W. Baretta, Johan van der Molen, Monique T. Villars
Publikováno v:
Journal Of Marine Systems (0924-7963) (Elsevier Science Bv), 2010-04, Vol. 81, N. 1-2, P. 148-170
In this paper the results from a workshop of the OSPAR Intersessional Correspondence Group on Eutrophication Modelling (ICG-EMO) held in Lowestoft in 2007 are presented. The aim of the workshop was to compare the results of a number of North Sea ecos
Publikováno v:
Regional Environmental Change. 8:31-43
Offshore wind power generation represents a chance to supply energy in a more sustainable way; however, the ecological risks associated with the construction and operation of offshore wind farms are still largely unknown. This paper uses the concept
Publikováno v:
Meteorologische Zeitschrift
Meteorologische Zeitschrift, Vol 24, Iss 5, Pp 465-480 (2015)
Meteorologische Zeitschrift, Vol 24, Iss 5, Pp 465-480 (2015)
Wind farms impact the local meteorology by taking up kinetic energy from the wind field and by creating a large wake. The wake influences mean flow, turbulent fluxes and vertical mixing. In the present study, the influences of large offshore wind far
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cf233e5a10408335187c5b9a2efdec8
https://hdl.handle.net/11858/00-001M-0000-002D-CEF4-811858/00-001M-0000-002D-D446-1
https://hdl.handle.net/11858/00-001M-0000-002D-CEF4-811858/00-001M-0000-002D-D446-1
Autor:
Hermann J. Lenhart, Thomas Pohlmann
Publikováno v:
Senckenbergiana maritima. 34:53-88
Autor:
Hermann J. Lenhart
Publikováno v:
Senckenbergiana maritima. 31:299-311
The results of the ecosystem model ERSEM showed, that a reduction in the nutrient load by 50% for N and P cannot be linearly transferred to a similar reduction in primary production in comparison to the standard run for the year 1988. While the reduc
Publikováno v:
Journal of Sea Research. 38:249-274
The general characteristics of the continental coastal zone, with nutrient concentrations, primary production and biomass high near the coast but decreasing with distance from the coast, are simulated by a box-refined version of the ecosystem model E
Publikováno v:
Continental Shelf Research. 16:907-931
A model for phytoplankton composition and succession coupled to a transport model for the southern North Sea is presented. This model is used to examine the time and spatial variability in phytoplankton biomass and succession. Long term time variabil