Search Results - "Arnqvist, Johan"

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  1. 1

    Mapping coastal upwelling in the Baltic Sea from 2002 to 2020 using remote sensing data by Zhang, Shuping, Wu, Lichuan, Arnqvist, Johan, Hallgren, Christoffer, Rutgersson, Anna

    “…•Regional CU in BS were delineated from daily SST during 2002–2020.•The spatiotemporal characteristics of CUs in BS were depicted.•CU-wind relationship and CU…”
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    Journal Article
  2. 2

    Looking for an Offshore Low-Level Jet Champion among Recent Reanalyses: A Tight Race over the Baltic Sea by Hallgren, Christoffer, Arnqvist, Johan, Ivanell, Stefan, Körnich, Heiner, Vakkari, Ville, Sahlée, Erik

    Published in Energies (Basel) (01-07-2020)
    “…With an increasing interest in offshore wind energy, focus has been directed towards large semi-enclosed basins such as the Baltic Sea as potential sites to…”
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    Journal Article
  3. 3

    Single Column Model Simulations of Icing Conditions in Northern Sweden: Sensitivity to Surface Model Land Use Representation by Janzon, Erik, Körnich, Heiner, Arnqvist, Johan, Rutgersson, Anna

    Published in Energies (Basel) (01-08-2020)
    “…In-cloud ice mass accretion on wind turbines is a common challenge that is faced by energy companies operating in cold climates. On-shore wind farms in…”
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    Journal Article
  4. 4

    Measurements and Modelling of Offshore Wind Profiles in a Semi-Enclosed Sea by Svensson, Nina, Arnqvist, Johan, Bergström, Hans, Rutgersson, Anna, Sahlée, Erik

    Published in Atmosphere (01-04-2019)
    “…A conically scanning, continuous-wave LIDAR is placed on an island in the central Baltic Sea with large open-water fetch, providing wind and turbulence…”
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    Journal Article
  5. 5

    Analyzing the mechanisms behind temporal correlation between power sources using frequency separated time scales: A Swedish case study on PV and wind by Lindberg, O., Lingfors, D., Arnqvist, J.

    Published in Energy (Oxford) (15-11-2022)
    “…The temporal correlation between different power generation sources is important for quantifying the reduction in variability when constructing co-located…”
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  6. 6

    Robust processing of airborne laser scans to plant area density profiles by Arnqvist, Johan, Freier, Julia, Dellwik, Ebba

    Published in Biogeosciences (02-12-2020)
    “…We present a new algorithm for the estimation of the plant area density (PAD) profiles and plant area index (PAI) for forested areas based on data from…”
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  7. 7

    Wind Statistics from a Forested Landscape by Arnqvist, Johan, Segalini, Antonio, Dellwik, Ebba, Bergström, Hans

    Published in Boundary-layer meteorology (01-07-2015)
    “…An analysis and interpretation of measurements from a 138-m tall tower located in a forested landscape is presented. Measurement errors and statistical…”
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  8. 8
  9. 9

    Examination of the mechanism behind observed canopy waves by Arnqvist, Johan, Bergrström, Hans, Nappo, Carmen

    Published in Agricultural and forest meteorology (15-03-2016)
    “…•A new linear analysis shows that shear instability is the cause of canopy waves.•Conditions for Holmboe instabilities is shown to exist over forests.•Waves…”
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  10. 10

    Flux‐profile relation with roughness sublayer correction by Arnqvist, J., Bergström, H.

    “…Calculation of momentum flux using Monin–Obukhov similarity theory over forested areas is well known to underestimate the flux. Several suggestions of…”
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  11. 11

    Day-ahead probabilistic forecasting at a co-located wind and solar power park in Sweden: Trading and forecast verification by Lindberg, O., Lingfors, D., Arnqvist, J., van der Meer, D., Munkhammar, J.

    Published in Advances in applied energy (01-02-2023)
    “…•We study the effect of aggregation at a co-located wind and solar power park.•We assess the performance of probabilistic forecasts in terms of quality and…”
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    Journal Article
  12. 12

    From lidar scans to roughness maps for wind resource modelling in forested areas by Floors, Rogier, Enevoldsen, Peter, Davis, Neil, Arnqvist, Johan, Dellwik, Ebba

    Published in Wind Energy Science (08-06-2018)
    “…Applying erroneous roughness lengths can have a large impact on the estimated performance of wind turbines, particularly in forested areas. In this study, a…”
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    Journal Article
  13. 13

    Classification and properties of non-idealized coastal wind profiles – an observational study by Hallgren, Christoffer, Arnqvist, Johan, Nilsson, Erik, Ivanell, Stefan, Shapkalijevski, Metodija, Thomasson, August, Pettersson, Heidi, Sahlée, Erik

    Published in Wind Energy Science (08-06-2022)
    “…Non-idealized wind profiles frequently occur over the Baltic Sea and are important to take into consideration for offshore wind power, as they affect not only…”
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  14. 14

    Micro-scale model comparison (benchmark) at the moderately complex forested site Ryningsnäs by Ivanell, Stefan, Arnqvist, Johan, Avila, Matias, Cavar, Dalibor, Chavez-Arroyo, Roberto Aurelio, Olivares-Espinosa, Hugo, Peralta, Carlos, Adib, Jamal, Witha, Björn

    Published in Wind Energy Science (2018)
    “…This article describes a study in which modellers were challenged to compute the wind field at a forested site with moderately complex topography. The task was…”
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