FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2135062018> ?p ?o ?g. }

• W2135062018 endingPage "88" @default.
• W2135062018 startingPage "66" @default.
• W2135062018 abstract "This paper presents results obtained with MIRO&CO-3D, a biogeochemical model dedicated to the study of eutrophication and applied to the Channel and Southern Bight of the North Sea (48.5°N–52.5°N). The model results from coupling of the COHERENS-3D hydrodynamic model and the biogeochemical model MIRO, which was previously calibrated in a multi-box implementation. MIRO&CO-3D is run to simulate the annual cycle of inorganic and organic carbon and nutrients (nitrogen, phosphorus and silica), phytoplankton (diatoms, nanoflagellates and Phaeocystis), bacteria and zooplankton (microzooplankton and copepods) with realistic forcing (meteorological conditions and river loads) for the period 1991–2003. Model validation is first shown by comparing time series of model concentrations of nutrients, chlorophyll a, diatom and Phaeocystis with in situ data from station 330 (51°26.00′N, 2°48.50′E) located in the centre of the Belgian coastal zone. This comparison shows the model's ability to represent the seasonal dynamics of nutrients and phytoplankton in Belgian waters. However the model fails to simulate correctly the dissolved silica cycle, especially during the beginning of spring, due to the late onset (in the model) of the early spring diatom bloom. As a general trend the chlorophyll a spring maximum is underestimated in simulations. A comparison between the seasonal average of surface winter nutrients and spring chlorophyll a concentrations simulated with in situ data for different stations is used to assess the accuracy of the simulated spatial distribution. At a seasonal scale, the spatial distribution of surface winter nutrients is in general well reproduced by the model with nevertheless a small overestimation for a few stations close to the Rhine/Meuse mouth and a tendency to underestimation in the coastal zone from Belgium to France. PO4 was simulated best; silica was simulated with less success. Spring chlorophyll a concentration is in general underestimated by the model. The accuracy of the simulated phytoplankton spatial distribution is further evaluated by comparing simulated surface chlorophyll a with that derived from the satellite sensor MERIS for the year 2003. Reasonable agreement is found between simulated and satellite-derived regions of high chlorophyll a with nevertheless discrepancies close to the boundaries." @default.
• W2135062018 created "2016-06-24" @default.
• W2135062018 creator A5018927562 @default.
• W2135062018 creator A5041418083 @default.
• W2135062018 creator A5057058195 @default.
• W2135062018 creator A5087346311 @default.
• W2135062018 creator A5087593412 @default.
• W2135062018 date "2007-01-01" @default.
• W2135062018 modified "2023-09-30" @default.
• W2135062018 title "Validation of the 3D biogeochemical model MIRO&CO with field nutrient and phytoplankton data and MERIS-derived surface chlorophyll a images" @default.
• W2135062018 cites W1608175485 @default.
• W2135062018 cites W1981682672 @default.
• W2135062018 cites W1988373176 @default.
• W2135062018 cites W1989818505 @default.
• W2135062018 cites W1996646846 @default.
• W2135062018 cites W2000678398 @default.
• W2135062018 cites W2005756237 @default.
• W2135062018 cites W2006712757 @default.
• W2135062018 cites W2012307619 @default.
• W2135062018 cites W2013538660 @default.
• W2135062018 cites W2016767642 @default.
• W2135062018 cites W2030919507 @default.
• W2135062018 cites W2035623332 @default.
• W2135062018 cites W2036330205 @default.
• W2135062018 cites W2053407752 @default.
• W2135062018 cites W2057960881 @default.
• W2135062018 cites W2065389018 @default.
• W2135062018 cites W2088768353 @default.
• W2135062018 cites W2088795274 @default.
• W2135062018 cites W2102144402 @default.
• W2135062018 cites W2118478759 @default.
• W2135062018 cites W2125743030 @default.
• W2135062018 cites W2155005486 @default.
• W2135062018 cites W2160863064 @default.
• W2135062018 cites W2188972866 @default.
• W2135062018 cites W2317813311 @default.
• W2135062018 cites W2333745608 @default.
• W2135062018 cites W4233184489 @default.
• W2135062018 doi "https://doi.org/10.1016/j.jmarsys.2006.01.010" @default.
• W2135062018 hasPublicationYear "2007" @default.
• W2135062018 type Work @default.
• W2135062018 sameAs 2135062018 @default.
• W2135062018 citedByCount "85" @default.
• W2135062018 countsByYear W21350620182012 @default.
• W2135062018 countsByYear W21350620182013 @default.
• W2135062018 countsByYear W21350620182014 @default.
• W2135062018 countsByYear W21350620182015 @default.
• W2135062018 countsByYear W21350620182016 @default.
• W2135062018 countsByYear W21350620182017 @default.
• W2135062018 countsByYear W21350620182018 @default.
• W2135062018 countsByYear W21350620182019 @default.
• W2135062018 countsByYear W21350620182020 @default.
• W2135062018 countsByYear W21350620182021 @default.
• W2135062018 countsByYear W21350620182022 @default.
• W2135062018 countsByYear W21350620182023 @default.
• W2135062018 crossrefType "journal-article" @default.
• W2135062018 hasAuthorship W2135062018A5018927562 @default.
• W2135062018 hasAuthorship W2135062018A5041418083 @default.
• W2135062018 hasAuthorship W2135062018A5057058195 @default.
• W2135062018 hasAuthorship W2135062018A5087346311 @default.
• W2135062018 hasAuthorship W2135062018A5087593412 @default.
• W2135062018 hasConcept C107872376 @default.
• W2135062018 hasConcept C108469399 @default.
• W2135062018 hasConcept C111368507 @default.
• W2135062018 hasConcept C127313418 @default.
• W2135062018 hasConcept C142796444 @default.
• W2135062018 hasConcept C155567681 @default.
• W2135062018 hasConcept C158836135 @default.
• W2135062018 hasConcept C185592680 @default.
• W2135062018 hasConcept C186699998 @default.
• W2135062018 hasConcept C18903297 @default.
• W2135062018 hasConcept C2778902199 @default.
• W2135062018 hasConcept C2778902744 @default.
• W2135062018 hasConcept C2780892065 @default.
• W2135062018 hasConcept C39432304 @default.
• W2135062018 hasConcept C59822182 @default.
• W2135062018 hasConcept C71915725 @default.
• W2135062018 hasConcept C86803240 @default.
• W2135062018 hasConcept C91586092 @default.
• W2135062018 hasConcept C97832226 @default.
• W2135062018 hasConceptScore W2135062018C107872376 @default.
• W2135062018 hasConceptScore W2135062018C108469399 @default.
• W2135062018 hasConceptScore W2135062018C111368507 @default.
• W2135062018 hasConceptScore W2135062018C127313418 @default.
• W2135062018 hasConceptScore W2135062018C142796444 @default.
• W2135062018 hasConceptScore W2135062018C155567681 @default.
• W2135062018 hasConceptScore W2135062018C158836135 @default.
• W2135062018 hasConceptScore W2135062018C185592680 @default.
• W2135062018 hasConceptScore W2135062018C186699998 @default.
• W2135062018 hasConceptScore W2135062018C18903297 @default.
• W2135062018 hasConceptScore W2135062018C2778902199 @default.
• W2135062018 hasConceptScore W2135062018C2778902744 @default.
• W2135062018 hasConceptScore W2135062018C2780892065 @default.
• W2135062018 hasConceptScore W2135062018C39432304 @default.
• W2135062018 hasConceptScore W2135062018C59822182 @default.
• W2135062018 hasConceptScore W2135062018C71915725 @default.
• W2135062018 hasConceptScore W2135062018C86803240 @default.
• W2135062018 hasConceptScore W2135062018C91586092 @default.

• next