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  • 1.
    Cantone, Carolina
    et al.
    SMHI, Samhällsberedskap.
    Ivars Grape, Helen
    SMHI, Samhällsberedskap.
    El Habash, Shadi
    Pechlivanidis, Ilias
    SMHI, Research Department, Hydrology.
    A co-generation success story: Improving drinking water management through hydro-climate services2023In: Climate Services, E-ISSN 2405-8807, Vol. 31, article id 100399Article in journal (Refereed)
    Download full text (pdf)
    A co-generation success story: Improving drinking water management through hydro-climate services
  • 2.
    Lindskog, Magnus
    et al.
    SMHI, Research Department, Meteorology.
    Azad, Roohollah
    De Haan, Siebren
    Blomster, Jesper
    SMHI, Samhällsberedskap.
    Ridal, Martin
    SMHI, Research Department, Meteorology.
    Impact of Mode-S Enhanced Surveillance Weather Observations on Weather Forecasts over the MetCoOp Northern European Model Domain2023In: Journal of Applied Meteorology and Climatology, ISSN 1558-8424, E-ISSN 1558-8432, Vol. 62, no 8, p. 985-1003Article in journal (Refereed)
    Download full text (pdf)
    Impact of Mode-S Enhanced Surveillance Weather Observations on Weather Forecasts over the MetCoOp Northern European Model Domain
  • 3.
    Mohanan, Ashwin
    et al.
    SMHI, Samhällsberedskap.
    Khoubani, Arman
    Augier, Pierre
    Snek5000: a new Python framework for Nek50002023In: Journal of Open Source Software, E-ISSN 2475-9066, Vol. 8, no 88, p. 5586-5586Article in journal (Refereed)
    Abstract [en]

    Computational fluid dynamics (CFD) simulations are essential tools in various scientific and engineering disciplines. Nek5000 is a CFD Fortran code based on spectral element methods with a proven track record in numerous applications. In this article, we present Snek5000, a Python package designed to streamline the management and visualization of fluid dynamics simulations based on Nek5000. The package builds upon the functionality of Nek5000 by providing a user-friendly interface for launching and restarting simulations, loading simulation data, and generating figures and movies. This paper introduces Snek5000, discusses its design principles, and highlights its impact on the scientific community.

    Download full text (pdf)
    Snek5000: a new Python framework for Nek5000
  • 4.
    Sjökvist, Elin
    et al.
    SMHI, Samhällsplanering.
    Björck, Emil
    SMHI, Professional Services.
    Carlsson, Daniel
    SMHI, Samhällsplanering.
    Eklund, Anna
    SMHI, Samhällsplanering.
    Jacobsson, Karin
    SMHI, Samhällsplanering.
    Johnell, Anna
    SMHI, Samhällsplanering.
    Södling, Johan
    SMHI, Samhällsberedskap.
    Zabori, Julia
    SMHI, Samhällsplanering.
    Jämförelse länsanalyser och scenariotjänst2023Report (Other academic)
    Abstract [en]

    The county analyzes (Sjökvist et al. 2015) were published by SMHI in 2015 with the aim to produce county-wise climate data based on results from the IPCC's fifth assessment report (AR5, 2013). In 2021, SMHI published a new climate scenario web service (www.smhi.se/klimat), containing updated data from climate research. As both the methodology, calculation methods and level of detail have been developed and updated, differences between the results in the county analyzes and the scenario service are expected. This report aims to clarify the differences between the two datasets and explain what these differences are due to, in support of old and new users of SMHI's climate data.

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    Jämförelse länsanalyser och scenariotjänst
  • 5. Vrotsou, Katerina
    et al.
    Navarra, Carlo
    Kucher, Kostiantyn
    Fedorov, Igor
    Schück, Fredrik
    SMHI, Samhällsberedskap.
    Unger, Jonas
    Neset, Tina-Simone
    Towards a Volunteered Geographic Information-Facilitated Visual Analytics Pipeline to Improve Impact-Based Weather Warning Systems2023In: Atmosphere, ISSN 2073-4433, E-ISSN 2073-4433, Vol. 14, no 7, article id 1141Article in journal (Refereed)
    Download full text (pdf)
    Towards a Volunteered Geographic Information-Facilitated Visual Analytics Pipeline to Improve Impact-Based Weather Warning Systems
1 - 5 of 5
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