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  • 1.
    Edman, Moa
    et al.
    SMHI, Forskningsavdelningen, Oceanografi.
    Eilola, Kari
    SMHI, Forskningsavdelningen, Oceanografi.
    Almroth-Rosell, Elin
    SMHI, Forskningsavdelningen, Oceanografi.
    Meier, Markus
    SMHI, Forskningsavdelningen, Oceanografi.
    Wåhlstrom, Irene
    SMHI, Forskningsavdelningen, Oceanografi.
    Arneborg, Lars
    SMHI, Forskningsavdelningen, Oceanografi.
    Nutrient Retention in the Swedish Coastal Zone2018Inngår i: Frontiers in Marine Science, E-ISSN 2296-7745, Vol. 5, artikkel-id UNSP 415Artikkel i tidsskrift (Fagfellevurdert)
  • 2.
    Eilola, Kari
    et al.
    SMHI, Forskningsavdelningen, Oceanografi.
    Lindqvist, Stina
    Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
    Almroth-Rosell, Elin
    SMHI, Forskningsavdelningen, Oceanografi.
    Edman, Moa
    SMHI, Forskningsavdelningen, Oceanografi.
    Wåhlstrom, Irene
    SMHI, Forskningsavdelningen, Oceanografi.
    Bartoli, Marco
    Klaipeda University, Lithuania.
    Burska, Dorota
    Institute of Oceanography, University of Gdansk, Poland.
    Carstensen, Jacob
    Aarhus University, Denmark.
    Hellemann, Dana
    Department of Environmental Sciences, University of Helsinki, Helsinki, Finland.
    Hietanen, Susanna
    Department of Environmental Sciences, University of Helsinki, Helsinki, Finland.
    Hulth, Stefan
    Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
    Janas, Urszula
    Institute of Oceanography, University of Gdansk, Poland.
    Kendzierska, Halina
    Institute of Oceanography, University of Gdansk, Poland.
    Pryputniewicz-Flis, Dorota
    Institute of Oceanography, University of Gdansk, Poland.
    Voss, Maren
    Leibniz Institute for Baltic Sea Research Warnemünde, Germany.
    Zilius, Mindaugas
    Klaipeda University, Lithuania.
    Linking process rates with modellingdata and ecosystem characteristics2017Rapport (Fagfellevurdert)
    Abstract [en]

    This report is related to the BONUS project “Nutrient Cocktails in COAstal zones of the Baltic Sea” alias COCOA. The aim of BONUS COCOA is to investigate physical, biogeochemical and biological processes in a combined and coordinated fashion to improve the understanding of the interaction of these processes on the removal of nutrients along the land-sea interface. The report is especially related to BONUS COCOA WP 6 in which the main objective is extrapolation of results from the BONUS COCOA learning sites to coastal sites around the Baltic Sea in general. Specific objectives of this deliverable (D6.4) were to connect observed process rates with modelling data and ecosystem characteristics.

    In the report we made statistical analyses of observations from BONUS COCOA study sites together with results from the Swedish Coastal zone Model (SCM). Eight structural variables (water depth, temperature, salinity, bottom water concentrations of oxygen, ammonium, nitrate and phosphate, as well as nitrogen content in sediment) were found common to both the experimentally determined and the model data sets. The observed process rate evaluated in this report was denitrification. In addition regressions were tested between observed denitrification rates and several structural variables (latitude, longitude, depth, light, temperature, salinity, grain class, porosity, loss of ignition, sediment organic carbon, total nitrogen content in the sediment,  sediment carbon/nitrogen-ratio, sediment chlorphyll-a as well as bottom water concentrations of oxygen, ammonium, nitrate, and dissolved inorganic  phosphorus and silicate) for pooled data from all learning sites.

    The statistical results showed that experimentally determined multivariate data set from the shallow, illuminated stations was mainly found to be similar to the multivariate data set produced by the SCM model. Generally, no strong correlations of simple relations between observed denitrification and available structural variables were found for data collected from all the learning sites. We found some non-significant correlation between denitrification rates and bottom water dissolved inorganic phosphorous and dissolved silica but the reason behind the correlations is not clear.

    We also developed and evaluated a theory to relate process rates to monitoring data and nutrient retention. The theoretical analysis included nutrient retention due to denitrification as well as burial of phosphorus and nitrogen. The theory of nutrient retention showed good correlations with model results. It was found that area-specific nitrogen and phosphorus retention capacity in a sub-basin depend much on mean water depth, water residence time, basin area and the mean nutrient concentrations in the active sediment layer and in the water column.

  • 3.
    Karlson, Bengt
    et al.
    SMHI, Forskningsavdelningen, Oceanografi.
    Eilola, Kari
    SMHI, Forskningsavdelningen, Oceanografi.
    Johansson, Johannes
    SMHI, Samhälle och säkerhet.
    Linders, Johanna
    SMHI, Samhälle och säkerhet.
    Mohlin, Malin
    SMHI.
    Willstrand Wranne, Anna
    SMHI, Samhälle och säkerhet.
    Wåhlstrom, Irene
    SMHI, Forskningsavdelningen, Oceanografi.
    Distribution of cyanobacteria blooms in the Baltic Sea2017Inngår i: Marine and Fresh-Water Harmful Algae. / [ed] Proenca, L. A. O. and Hallegraeff, G., International Society for the Study of Harmful Algae Intergovernmental Oceanographic Commission of UNESCO , 2017, s. 100-103Konferansepaper (Fagfellevurdert)
  • 4.
    Wåhlstrom, Irene
    et al.
    SMHI, Forskningsavdelningen, Oceanografi.
    Meier, Markus
    SMHI, Forskningsavdelningen, Oceanografi.
    A model sensitivity study for the sea-air exchange of methane in the Laptev Sea, Arctic Ocean2014Inngår i: Tellus. Series B, Chemical and physical meteorology, ISSN 0280-6509, E-ISSN 1600-0889, Vol. 66, artikkel-id 24174Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The ocean's sinks and sources determine the concentration of methane in the water column and by that regulating the emission of methane to the atmosphere. In this study, we investigate how sensitive the sea-air exchange of methane is to increasing/decreasing sinks and sources as well as changes of different drivers with a time-dependent biogeochemical budget model for one of the shallow shelf sea in the Siberian Arctic, the Laptev Sea. The applied changes are: increased air temperature, river discharge, wind, atmospheric methane, concentration of nutrients in the river runoff or flux of methane from the sediment. Furthermore, simulations are performed to examine how the large range in observations for methane concentration in the Lena River as well as the rate of oxidation affects the net sea-air exchange. In addition, a simulation with five of these changes applied together was carried out to simulate expected climate change at the end of this century. The result indicates that none of the simulations changed the seawater to becoming a net sink for atmospheric methane and all simulations except three increased the outgassing to the atmosphere. The three exceptions were: doubling the atmospheric methane, decreasing the rivers' concentration of methane and increasing the oxidation rate where the latter is one of the key mechanisms controlling emission of methane to the atmosphere.

  • 5.
    Wåhlström, Irene
    et al.
    SMHI, Forskningsavdelningen, Oceanografi.
    Dieterich, Christian
    SMHI, Forskningsavdelningen, Oceanografi.
    Pemberton, Per
    SMHI, Forskningsavdelningen, Oceanografi.
    Meier, Markus
    SMHI, Forskningsavdelningen, Oceanografi.
    Impact of increasing inflow of warm Atlantic water on the sea-air exchange of carbon dioxide and methane in the Laptev Sea2016Inngår i: Journal of Geophysical Research - Biogeosciences, ISSN 2169-8953, E-ISSN 2169-8961, Vol. 121, nr 7, s. 1867-1883Artikkel i tidsskrift (Fagfellevurdert)
  • 6.
    Wåhlström, Irene
    et al.
    SMHI, Forskningsavdelningen, Oceanografi.
    Eilola, Kari
    SMHI, Forskningsavdelningen, Oceanografi.
    Edman, Moa
    SMHI, Forskningsavdelningen, Oceanografi.
    Almroth-Rosell, Elin
    SMHI, Forskningsavdelningen, Oceanografi.
    Evaluation of open sea boundary conditions for the coastal zone. A model study in the northern part of the Baltic Proper.2017Rapport (Annet vitenskapelig)
    Abstract [en]

    The environmental conditions in the coastal zone are strongly connected with the conditions in the open sea as the transports across the boundaries are extensive. Therefore, it is of critical importance that coastal zone models have lateral boundary forcing of high quality and required parameters with good coverage in space and time.

    The Swedish Coastal zone Model (SCM) is developed at SMHI to calculate water quality in the coastal zone. This model is currently forced by the outcome from a one-dimensional model, assimilated to observations along the coast. However, these observations are scarce both in space, time and do usually not include all required parameters. In addition, the variability closer to the coast may be underestimated by the open sea monitoring stations used for the data assimilation. These problems are partly overcome by utilize the one-dimensional model that resolves all the variables used in the SCM. However, the method is not applicable for examine either the past period or future scenario where the latter analyze how climate change might affect the coastal zone. In the present study, we therefore evaluate the possibility to use results from a three-dimensional coupled physical and biogeochemical model of the Baltic Sea as open sea boundary conditions for the coastal zone, primarily to investigate the two periods mentioned above.

    Seven sensitivity experiments have been carried out in a pilot area of the coastal zone, the northern part of the Baltic proper, including the Stockholm Archipelago. The sensitivity tests were performed in order to explore methods to extract the outcome from the three-dimensional model, RCO-SCOBI, and apply as lateral boundary forcing for the SCM. RCO-SCOBI is a model for the open Baltic Sea with high horizontal and vertical resolution of the required variables. The results from the different tests were examined and evaluated against observations in the coastal zone. This was executed for both the physical and the biogeochemical variables utilizing a statistical method.

    The results from this study concluded that the outcome from the RCO-SCOBI is applicable as forcing files for the SCM. The best results in the tests was obtained with a method extracting depth profiles for the required variables from the RCO-SCOBI at a position 10 nautical miles to the east and 10 nautical miles to the south in the Baltic proper or north in the Gulf of Bothnia outside each of the outer basins.

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