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  • 1.
    Meier, Markus
    et al.
    SMHI, Research Department, Oceanography.
    Dieterich, Christian
    SMHI, Research Department, Oceanography.
    Eilola, Kari
    SMHI, Research Department, Oceanography.
    Groger, Matthias
    SMHI, Research Department, Oceanography.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Radtke, Hagen
    Saraiva, Sofia
    Wåhlstrom, Irene
    SMHI, Research Department, Oceanography.
    Future projections of record-breaking sea surface temperature and cyanobacteria bloom events in the Baltic Sea2019In: Ambio, ISSN 0044-7447, E-ISSN 1654-7209, Vol. 48, no 11, p. 1362-1376Article in journal (Refereed)
  • 2. Bauer, Barbara
    et al.
    Gustafsson, Bo G.
    Hyytiainen, Kari
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Mueller-Karulis, Baerbel
    Saraiva, Sofia
    SMHI, Research Department, Oceanography.
    Tomczak, Maciej T.
    Food web and fisheries in the future Baltic Sea2019In: Ambio, ISSN 0044-7447, E-ISSN 1654-7209, Vol. 48, no 11, p. 1337-1349Article in journal (Refereed)
  • 3.
    Algotsson, Josefina
    et al.
    SMHI, Core Services.
    Edman, Moa
    SMHI, Research Department, Oceanography.
    Förslag till statusklassning av parameter 9.5 Sötvatteninflöde och vattenutbyte i kustvatten och vatten i övergångszon: En jämförelse mellan Kustzonsmodellens naturliga och normala uppsättning2019Report (Other academic)
    Abstract [en]

    Around half of Sweden's electricity generation consists of hydropower, which is produced in about 2000 power plants. The largest drainage of water from land takes place during the spring and the water is stored in reservoirs for electricity production during the winter. This change in the natural runoff has major effects on the aquatic ecosystems and is considered to be one of the biggest environmental challenges for Swedish waterways and lakes.There is currently no guidance for status classification of hydromorphological parameters in coastal waters according to the Water Framework Directive. SMHI was commissioned by the water authorities to produce a proposal for class boundaries and classification for parameter 9.5 Freshwater inflow and water exchange in coastal water and water in transition zone in accordance with the regulations stated by the Swedish Agency for Marine and Water Management in the document HVMFS 2013:19. The hydrological model S-HYPE and the oceanographic Coastal Zone Model were used to study the changes in fresh water supply as well as fresh water content, salinity and water age of the surface water caused by regulation of water flow on land.In general, the regulation of water flow on land has led to an increase in the fresh water content by 2% along the Norrlands coast and a corresponding decrease in the fresh water content on the west coast. Typically, the regulation of water on land leads to a lower freshwater supply to the coast during spring and summer and a higher freshwater supply to the coast in the autumn and winter compared to a scenario with a natural land runoff.The natural background variation, as defined by ± 2 MAD (Median Absolute Deviation), and the Maximum Absolute Deviation, MAA, were used to construct 5 status classes.

  • 4. Kniebusch, Madline
    et al.
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Radtke, Hagen
    Changing Salinity Gradients in the Baltic Sea As a Consequence of Altered Freshwater Budgets2019In: Geophysical Research Letters, ISSN 0094-8276, E-ISSN 1944-8007, Vol. 46, no 16, p. 9739-9747Article in journal (Refereed)
  • 5.
    Hieronymus, Magnus
    et al.
    SMHI, Research Department, Oceanography.
    Hieronymus, Jenny
    SMHI, Research Department, Oceanography.
    Hieronymus, Fredrik
    On the Application of Machine Learning Techniques to Regression Problems in Sea Level Studies2019In: Journal of Atmospheric and Oceanic Technology, ISSN 0739-0572, E-ISSN 1520-0426, Vol. 36, no 9, p. 1889-1902Article in journal (Refereed)
    Abstract [en]

    Long sea level records with high temporal resolution are of paramount importance for future coastal protection and adaptation plans. Here we discuss the application of machine learning techniques to some regression problems commonly encountered when analyzing such time series. The performance of artificial neural networks is compared with that of multiple linear regression models on sea level data from the Swedish coast. The neural networks are found to be superior when local sea level forcing is used together with remote sea level forcing and meteorological forcing, whereas the linear models and the neural networks show similar performance when local sea level forcing is excluded. The overall performance of the machine learning algorithms is good, often surpassing that of the much more computationally costly numerical ocean models used at our institute.

  • 6. Kratzer, Susanne
    et al.
    Kyryliuk, Dmytro
    Edman, Moa
    SMHI, Research Department, Oceanography.
    Philipson, Petra
    Lyon, Steve W.
    Synergy of Satellite, In Situ and Modelled Data for Addressing the Scarcity of Water Quality Information for Eutrophication Assessment and Monitoring of Swedish Coastal Waters2019In: Remote Sensing, ISSN 2072-4292, E-ISSN 2072-4292, Vol. 11, no 17Article in journal (Refereed)
    Abstract [en]

    Monthly CHL-a and Secchi Depth (SD) data derived from the full mission data of the Medium Resolution Imaging Spectrometer (MERIS; 2002-2012) were analysed along a horizontal transect from the inner Braviken bay and out into the open sea. The CHL-a values were calibrated using an algorithm derived from Swedish lakes. Then, calibrated Chl-a and Secchi Depth (SD) estimates were extracted from MERIS data along the transect and compared to conventional monitoring data as well as to data from the Swedish Coastal zone Model (SCM), providing physico-biogeochemical parameters such as temperature, nutrients, Chlorophyll-a (CHL-a) and Secchi depth (SD). A high negative correlation was observed between satellite-derived CHL-a and SD (rho = -0.91), similar to the in situ relationship established for several coastal gradients in the Baltic proper. We also demonstrate that the validated MERIS-based estimates and data from the SCM showed strong correlations for the variables CHL-a, SD and total nitrogen (TOTN), which improved significantly when analysed on a monthly basis across basins. The relationship between satellite-derived CHL-a and modelled TOTN was also evaluated on a monthly basis using least-square linear regression models. The predictive power of the models was strong for the period May-November (R-2: 0.58-0.87), and the regression algorithm for summer was almost identical to the algorithm generated from in situ data in Himmerfjarden bay. The strong correlation between SD and modelled TOTN confirms that SD is a robust and reliable indicator to evaluate changes in eutrophication in the Baltic proper which can be assessed using remote sensing data. Amongst all three assessed methods, only MERIS CHL-a was able to correctly depict the pattern of phytoplankton phenology that is typical for the Baltic proper. The approach of combining satellite data and physio-biogeochemical models could serve as a powerful tool and value-adding complement to the scarcely available in situ data from national monitoring programs. In particular, satellite data will help to reduce uncertainties in long-term monitoring data due to its improved measurement frequency.

  • 7.
    Stensen, Katarina
    et al.
    SMHI, Core Services.
    Matti, Bettina
    SMHI, Core Services.
    Rasmusson, Kristina
    SMHI, Research Department, Oceanography.
    Hjerdt, Niclas
    SMHI, Core Services.
    Modellstudie för att undersöka åtgärdersom påverkar lågflöden: – Delrapport 2 i regeringsuppdrag om åtgärder för att motverkavattenbrist i ytvattentäkter.2019Report (Other academic)
    Abstract [en]

    In 2018 the Swedish Meteorological and Hydrological Institute, SMHI was assigned toperform a study of measures to prevent water scarcity in surface water resources. Thework is ongoing and has been performed stepwise. This is the second report produced sofar. The report presents the results from a pre-study that was performed to evaluate theeffect of different measures on low flows and their potential to prevent water scarcity insurface water resources. The aim of the model study was to build a knowledge basis fordeveloping a tool that can be used to prevent water scarcity in surface water resources.Through the tool, municipalities and other actors in the water sector will be able tosimulate water availability in a catchment area independently.

    The weather has the largest impact on water availability, but there are different measuresthat can prevent water scarcity in surface water resources. The measures are mostlypreventative but some can be used in scarcity situations as well.

    The most effective measure is to use the water storage capacity in lakes and to regulatethem wisely. Obviously, this requires that there are lakes to regulate. In the southern partsof Sweden water availability is often good in wintertime while water scarcity occursduring summertime and at the beginning of fall. Through lake regulation, water can bestored in periods with significant water availability and used in periods when water isneeded. It is common to regulate lakes for hydropower production, but some lakes areregulated for water supply as well. SMHI regards this as an important aspect to considerin areas that are in risk for water scarcity since many permissions for water regulation aregoing to be reconsidered now.

    Measures on ditch, drainage and other watercourses can have a local effect, but it is notlarge enough to affect the low flows on a larger scale. Restoration of wetlands has as wellmostly a local effect since very large areas are required to impact on surface waterresources on a larger scale.

    In areas with significant water extractions, the low flow is affected if these are changed.Often, knowledge on water extraction still is inadequate and it is difficult to exactlycalculate the effect if water extractions are changed. It is also complicated to restrictwater extractions. Measures such as establishing water ponds for irrigation might havepotential provided they are filled during periods of good water availability. The effect ofextractions will then decrease during low flow periods.

    The ongoing work to prevent water scarcity in surface water resources will focus ondeveloping methods for sustainable water management. It is evident that the work withwater resources planning needs to be performed mutually between sectors in a catchmentarea. The tool that will be developed within this project will contribute to that this workcan be performed in a sustainable way.

  • 8.
    Stensen, Katarina
    et al.
    SMHI, Core Services.
    Krunegård, Aino
    SMHI, Core Services.
    Rasmusson, Kristina
    SMHI, Research Department, Oceanography.
    Matti, Bettina
    SMHI, Core Services.
    Hjerdt, Niclas
    SMHI, Core Services.
    Sveriges vattentillgång utifrån perspektivet vattenbrist och torka: – Delrapport 1 i regeringsuppdrag om åtgärder för att motverka vattenbrist i ytvattentäkter.2019Report (Other academic)
    Abstract [en]

    In this report, the concept of drought in Sweden as well as the causes is discussed. Thereport also discusses the spatial variability of water resources in Sweden.

    Water shortage is when the demand for water surpasses the water available. It is thereforevery much dependent on the water usage.

    Climate change causes higher temperature and a warmer Sweden thus affecting wateravailability. In general both temperature and precipitation are expected to increase inwintertime leading to more water available during winters. However, higher temperaturesduring summers cause a higher evaporation which might lead to less water available insummertime, especially in the southern parts of Sweden. The climate change will increasethe number of extreme rainfall events. The amount of rain during such short-term extremerainfall events is usually much more than the soil´s infiltration capacity thus makingfloodings more common in future. Milder winters change the snow pattern, which inparticular affect rivers in the northern part of the country.

    During the summers 2016–2018, water shortages occurred in some parts of Sweden. Thecauses of water shortages were different for different parts and different years. Howeverit made Sweden to experience some of the impacts of climate change and a warmerclimate. It was an eye opener and showed us the importance of the adaptation to thesenew circumstances.

    Many factors are involved in the water availability. They can however be summarized in3 categories:

    • Climate – temperature and precipitation for example.
    • Storage capacity – how much water an area can store
    • Water usage

    As a country, Sweden has abundant water resources and available fresh water. But watershortage might still occur. Water availability and water usage can vary a lot locally whichmight lead to water shortage in some regions. To cope with water shortages priorities areneeded between different sectors and interests. Many stakeholders need to agree andcompromise on the usage of water.

  • 9. Browny, Nicola Jane
    et al.
    Nilsson, Johan
    Pemberton, Per
    SMHI, Research Department, Oceanography.
    Arctic Ocean Freshwater Dynamics: Transient Response to Increasing River Runoff and Precipitation2019In: Journal of Geophysical Research - Oceans, ISSN 2169-9275, E-ISSN 2169-9291, Vol. 124, no 7, p. 5205-5219Article in journal (Refereed)
  • 10. Kniebusch, Madline
    et al.
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Neumann, Thomas
    Borgel, Florian
    Temperature Variability of the Baltic Sea Since 1850 and Attribution to Atmospheric Forcing Variables2019In: Journal of Geophysical Research - Oceans, ISSN 2169-9275, E-ISSN 2169-9291, Vol. 124, no 6, p. 4168-4187Article in journal (Refereed)
  • 11. Prevett, Andrew
    et al.
    Lindstrom, Jenny
    Xu, Jiayi
    Karlson, Bengt
    SMHI, Research Department, Oceanography.
    Selander, Erik
    Grazer-induced bioluminescence gives dinoflagellates a competitive edge2019In: Current Biology, ISSN 0960-9822, E-ISSN 1879-0445, Vol. 29, no 12, p. R564-R565Article in journal (Refereed)
  • 12. Tuomi, Laura
    et al.
    Kanarik, Hedi
    Bjorkqvist, Jan-Victor
    Marjamaa, Riikka
    Vainio, Jouni
    Hordoir, Robinson
    SMHI, Research Department, Oceanography.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Kahma, Kimmo K.
    Impact of Ice Data Quality and Treatment on Wave Hindcast Statistics in Seasonally Ice-Covered Seas2019In: Frontiers in Earth Science, ISSN 2296-6463, Vol. 7, article id UNSP 166Article in journal (Refereed)
  • 13.
    Meier, Markus
    et al.
    SMHI, Research Department, Oceanography.
    Eilola, Kari
    SMHI, Research Department, Oceanography.
    Almroth-Rosell, Elin
    SMHI, Research Department, Oceanography.
    Schimanke, Semjon
    SMHI, Research Department, Oceanography.
    Kniebusch, M.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Pemberton, Per
    SMHI, Research Department, Oceanography.
    Liu, Ye
    SMHI, Research Department, Oceanography.
    Väli, Germo
    SMHI, Research Department, Oceanography.
    Saraiva, S.
    Disentangling the impact of nutrient load and climate changes on Baltic Sea hypoxia and eutrophication since 18502019In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 53, no 1-2, p. 1145-1166Article in journal (Refereed)
  • 14.
    Meier, Markus
    et al.
    SMHI, Research Department, Oceanography.
    Eilola, Kari
    SMHI, Research Department, Oceanography.
    Almroth-Rosell, E.
    Schimanke, Semjon
    SMHI, Research Department, Oceanography.
    Kniebusch, M.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Pemberton, Per
    SMHI, Research Department, Oceanography.
    Liu, Ye
    SMHI, Research Department, Oceanography.
    Väli, Germo
    SMHI, Research Department, Oceanography.
    Saraiva, S.
    Disentangling the impact of nutrient load and climate changes on Baltic Sea hypoxia and eutrophication since 1850 (vol 53, pg 1145, 2019)2019In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 53, no 1-2, p. 1167-1169Article in journal (Refereed)
  • 15.
    Dieterich, Christian
    et al.
    SMHI, Research Department, Oceanography.
    Wang, Shiyu
    SMHI, Research Department, Climate research - Rossby Centre.
    Schimanke, Semjon
    SMHI, Research Department, Oceanography.
    Groger, Matthias
    SMHI, Research Department, Oceanography.
    Klein, Birgit
    Hordoir, Robinson
    SMHI, Research Department, Oceanography.
    Samuelsson, Patrick
    SMHI, Research Department, Climate research - Rossby Centre.
    Liu, Ye
    SMHI, Research Department, Oceanography.
    Axell, Lars
    SMHI, Research Department, Oceanography.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Surface Heat Budget over the North Sea in Climate Change Simulations2019In: Atmosphere, ISSN 2073-4433, E-ISSN 2073-4433, Vol. 10, no 5, article id 272Article in journal (Refereed)
  • 16. Zandersen, Marianne
    et al.
    Hyytiainen, Kari
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Tomczak, Maciej T.
    Bauer, Barbara
    Haapasaari, Paivi E.
    Olesen, Jorgen Eivind
    Gustafsson, Bo G.
    Refsgaard, Jens Christian
    Fridell, Erik
    Pihlainen, Sampo
    Le Tissier, Martin D. A.
    Kosenius, Anna-Kaisa
    Van Vuuren, Detlef P.
    Shared socio-economic pathways extended for the Baltic Sea: exploring long-term environmental problems2019In: Regional Environmental Change, ISSN 1436-3798, E-ISSN 1436-378X, Vol. 19, no 4, p. 1073-1086Article in journal (Refereed)
  • 17.
    Hieronymus, Magnus
    SMHI, Research Department, Oceanography.
    An update on the thermosteric sea level rise commitment to global warming2019In: Environmental Research Letters, ISSN 1748-9326, E-ISSN 1748-9326, Vol. 14, no 5, article id 054018Article in journal (Refereed)
  • 18.
    Saraiva, Sofia
    et al.
    SMHI, Research Department, Oceanography.
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Andersson, Helén
    SMHI, Research Department, Oceanography.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Dieterich, Christian
    SMHI, Research Department, Oceanography.
    Groger, Matthias
    SMHI, Research Department, Oceanography.
    Hordoir, Robinson
    SMHI, Research Department, Oceanography.
    Eilola, Kari
    SMHI, Research Department, Oceanography.
    Uncertainties in Projections of the Baltic Sea Ecosystem Driven by an Ensemble of Global Climate Models2019In: FRONTIERS IN EARTH SCIENCE, ISSN 2296-6463, Vol. 6, article id UNSP 244Article in journal (Refereed)
  • 19.
    Saraiva, Sofia
    et al.
    SMHI, Research Department, Oceanography.
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Andersson, Helén
    SMHI, Research Department, Oceanography.
    Höglund, Anders
    SMHI, Research Department, Oceanography.
    Dieterich, Christian
    SMHI, Research Department, Oceanography.
    Groger, Matthias
    SMHI, Research Department, Oceanography.
    Hordoir, Robinson
    SMHI, Research Department, Oceanography.
    Eilola, Kari
    SMHI, Research Department, Oceanography.
    Baltic Sea ecosystem response to various nutrient load scenarios in present and future climates2019In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 52, no 5-6, p. 3369-3387Article in journal (Refereed)
  • 20. Amir-Heidari, Payam
    et al.
    Arneborg, Lars
    SMHI, Research Department, Oceanography.
    Lindgren, J. Fredrik
    Lindhe, Andreas
    Rosen, Lars
    Raie, Mohammad
    Axell, Lars
    SMHI, Research Department, Oceanography.
    Hassellov, Ida-Maja
    A state-of-the-art model for spatial and stochastic oil spill risk assessment: A case study of oil spill from a shipwreck2019In: Environment International, ISSN 0160-4120, E-ISSN 1873-6750, Vol. 126, p. 309-320Article in journal (Refereed)
1234567 1 - 20 of 378
CiteExportLink to result list
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
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  • Other locale
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