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  • 1.
    Arellano, Santiago
    et al.
    Department of Earth and Space Sciences, Chalmers University of Technology, Gothenburg, Sweden.
    Yalire, M.
    Observatoire Volcanologique de Goma, Centre de Recherche en Sciences Naturelles, Lwiro, Democratic Republic of the Congo.
    Galle, Bo
    Department of Earth and Space Sciences, Chalmers University of Technology, Gothenburg, Sweden.
    Bobrowski, M.
    Institute of Environmental Physics, Heidelberg University, Heidelberg, Germany.
    Dingwell, Adam
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Johansson, M.
    Department of Earth and Space Sciences, Chalmers University of Technology, Gothenburg, Sweden.
    Norman, P.
    Department of Earth and Space Sciences, Chalmers University of Technology, Gothenburg, Sweden.
    Long-term monitoring of SO2 quiescent degassing from Nyiragongo’s lava lake2017In: Journal of African Earth Sciences, ISSN 0899-5362, Vol. 134, p. 866-873Article in journal (Refereed)
    Abstract [en]

    The activity of open-vent volcanoes with an active lava-lake, such as Nyiragongo, is characterized by persistent degassing, thus continuous monitoring of the rate, volume and fate of their gas emissions is of great importance to understand their geophysical state and their potential impact. We report results of SO2 emission measurements from Nyiragongo conducted between 2004 and 2012 with a network of ground-based scanning-DOAS (Differential Optical Absorption Spectroscopy) remote sensors. The mean SO2 emission rate is found to be 13 ± 9 kg s−1, similar to that observed in 1959. Daily emission rate has a distribution close to log-normal and presents large inter-day variability, reflecting the dynamics of percolation of magma batches of heterogeneous size distribution and changes in the effective permeability of the lava lake. The degassed S content is found to be between 1000 and 2000 ppm from these measurements and the reported magma flow rates sustaining the lava lake. The inter-annual trend and plume height statistics indicate stability of a quiescently degassing lava lake during the period of study.

  • 2.
    Brioude, Jerome
    et al.
    University of Colorado; National Oceanic and Atmospheric Administration.
    Arnold, Delia
    Institute of Energy Technologies.
    Stohl, Andreas
    Norwegian Institute for Air Research.
    Cassiani, Massimo
    Norwegian Institute for Air Research.
    Morton, Don
    Arctic Region Supercomputing Center, University of Alaska.
    Angevine, Wayne
    University of Colorado; National Oceanic and Atmospheric Administration.
    Evan, Stephanie
    University of Colorado; National Oceanic and Atmospheric Administration.
    Dingwell, Adam
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences.
    Fast, Jerome
    Pacific Northwest National Laboratory.
    Easter, Richard
    Pacific Northwest National Laboratory.
    Pisso, Ignacio
    Norwegian Institute for Air Research.
    Burkhart, John
    University of California; Norwegian Institute for Air Research.
    Wotawa, Gerhard
    Central Institute for Meteorology and Geodynamics.
    The Lagrangian particle dispersion model FLEXPART-WRF version 3.12013In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 6, no 6, p. 1889-1904Article in journal (Refereed)
    Abstract [en]

    The Lagrangian particle dispersion model FLEXPART was originally designed for calculating long-range and mesoscale dispersion of air pollutants from point sources, such that occurring after an accident in a nuclear power plant. In the meantime, FLEXPART has evolved into a comprehensive tool for atmospheric transport modeling and analysis at different scales. A need for further multiscale modeling and analysis has encouraged new developments in FLEXPART. In this paper, we present a FLEXPART version that works with the Weather Research and Forecasting (WRF) mesoscale meteorological model. We explain how to run this new model and present special options and features that differ from those of the preceding versions. For instance, a novel turbulence scheme for the convective boundary layer has been included that considers both the skewness of turbulence in the vertical velocity as well as the vertical gradient in the air density. To our knowledge, FLEXPART is the first model for which such a scheme has been developed. On a more technical level, FLEXPART-WRF now offers effective parallelization, and details on computational performance are presented here. FLEXPART-WRF output can either be in binary or Network Common Data Form (NetCDF) format, both of which have efficient data compression. In addition, test case data and the source code are provided to the reader as a Supplement. This material and future developments will be accessible at http://www.flexpart.eu.

    Download full text (pdf)
    fulltext
  • 3.
    Dingwell, Adam
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Atmospheric Dispersion Modellingof Volcanic Emissions2015Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    Gases and particles released by volcanoes pose a serious hazard to humans and society. Emis-sions can be transported over long distances before being reduced to harmless concentrations.Knowing which areas are, or will be, exposed to volcanic emissions is an important part inreducing the impact on human health or society. In this thesis, the dispersion of volcanic emis-sions is studied using a set of atmospheric models. Two case studies have been performed, onestudying potential ash emission from future eruptions on Iceland, and a second covering SO2 emissions from Mt. Nyiragongo in D.R. Congo

    The first study covers long range (∼1,000 km) dispersion of fine ash from explosive erup-tions. Three years of meteorological data are used to repeatedly simulate five eruption scenarios.The resulting concentrations of airborne ash at different times relative the onset of each eruptionis compared to current and previous threshold concentrations used by air traffic controllers. Theash hazard showed a seasonal variation, with a higher probability of efficient eastward transportin winter, compared to summer; summer eruptions pose a more persistent hazard.

    In the second study, emissions of SO2 from passive degassing at Mt. Nyiragongo is studiedover a one–year period. The meteorological impact on the dispersion is studied by assigninga fixed emission source. Furthermore, flux measurements from the remote sensing data areused to improve the description of the emission source. Gases are generally transported to thenorth-west in June–August and to the south-west in December–January. A diurnal variation dueto land breeze around lake Kivu contributes to high concentrations of SO2 along the northernshore during the night. Daily averaged concentrations in the city of Goma (∼15 km SW of thesource) exceeded the European Union’s air quality standard (125 μg/m 3 ) for 120-210 days overa one year period.

    List of papers
    1. Estimating volcanic ash hazard in European airspace
    Open this publication in new window or tab >>Estimating volcanic ash hazard in European airspace
    2014 (English)In: Journal of Volcanology and Geothermal Research, ISSN 0377-0273, E-ISSN 1872-6097, Vol. 286, p. 55-66Article in journal (Refereed) Published
    Abstract [en]

    The widespread disruption of European air traffic in late April 2010, during the eruption of Eyjafjallajökull,showed the importance of early assessment of volcanic hazard from explosive eruptions. In this study, wefocus on the short-term hazard of airborne ash from a climatological perspective, focusing on eruptions onIceland. By studying eruptions of different intensity and frequency, we estimate the overall probability that ashconcentration levels considered hazardous to aviation are exceeded over different parts of Europe.

    The method involves setting up a range of eruption scenarios based on the eruptive history of Icelandic volcanoes,and repeated simulation of these scenarios for 2 years' worth of meteorological data. Simulations are conducted using meteorological data from the ERA-Interim reanalysis set, which is downscaled using the Weather Researchand Forecasting (WRF) model. The weather data are then used to drive the Lagrangian particle dispersion model FLEXPART-WRF for each of the eruption scenarios. A set of threshold values, commonly used in Volcanic Ash Advisories, are used to analyze concentration data from the dispersion model.

    We see that the dispersion of ash is highly dominated by the mid-latitude westerlies and mainly affect northern UK and the Scandinavian peninsula. The occurrence of high ash levels from Icelandic volcanoes is lower over con-tinental Europe but should not be neglected for eruptions when the release rate of fine ash (<16 μm) is in theorder of 107 kg s−1 or higher.

    There is a clear seasonal variation in the ash hazard. During the summer months, the dominating dispersiondirection is less distinct with some plumes extending to the northwest and Greenland. In contrast, during thewinter months, the strong westerly winds tend to transport most of the emissions eastwards. The affected area of a winter-time eruption is likely to be larger as high concentrations can be found at a further distance downwind from the volcano, effectively increasing the probability of hazardous levels of ash reaching the European continent.

    The concentration thresholds for aviation, which were adopted after the Eyjafjallajökull eruption in 2010, havestrong influence on the hazard estimates for weaker eruptions but is less important for larger eruptions; thusash forecasts for weaker eruptions are likely more uncertain in comparison to larger eruptions.

    Keywords
    Dispersion modelling, FLEXPART, Aviation safety, Climatology Hazard, Iceland
    National Category
    Meteorology and Atmospheric Sciences Geosciences, Multidisciplinary
    Identifiers
    urn:nbn:se:uu:diva-233386 (URN)10.1016/j.jvolgeores.2014.08.022 (DOI)000346551400006 ()
    Available from: 2014-10-02 Created: 2014-10-02 Last updated: 2017-12-05Bibliographically approved
    2. Seasonal and diurnal patterns in the dispersionof SO2 from Mt. Nyiragongo
    Open this publication in new window or tab >>Seasonal and diurnal patterns in the dispersionof SO2 from Mt. Nyiragongo
    Show others...
    2016 (English)In: Atmospheric Environment, ISSN 1352-2310, E-ISSN 1873-2844, Vol. 132, p. 19-29Article in journal (Refereed) Published
    Abstract [en]

    Mt. Nyiragongo is an active volcano located in the Democratic Republic of Congo, close to the border of Rwanda and about 15 km north of the city of Goma (similar to 1,000,000 inhabitants). Gases emitted from Nyiragongo might pose a persistent hazard to local inhabitants and the environment. While both ground- and satellite-based observations of the emissions exist, prior to this study, no detailed analysis of the dispersion of the emissions have been made. We have conducted a dispersion study, using a modelling system to determine the geographical distribution of SO2. A combination of a meteorological model (WRF), a Lagrangian particle dispersion model (FLEXPART-WRF) and flux data based on DOAS measurements from the NOVAC-network is used. Since observations can only be made during the day, we use random sampling of fluxes and ensemble modelling to estimate night-time emissions. Seasonal variations in the dispersion follows the migration of the Inter Tropical Convergence Zone. In June-August, the area with the highest surface concentrations is located to the northwest, and in December-February, to the southwest of the source. Diurnal variations in surface concentrations were determined by the development of the planetary boundary layer and the lake-/land breeze cycle around lake Kivu. Both processes contribute to low surface concentrations during the day and high concentrations during the night. However, the strong northerly trade winds in November-March weakened the lake breeze, contributing to higher daytime surface concentrations along the northern shore of Lake Kivu, including the city of Goma. For further analysis and measurements, it is important to include both seasonal and diurnal cycles in order to safely cover periods of high and potentially hazardous concentrations.

    Keywords
    Dispersion modelling; Volcanic degassing; Nyiragongo; Sulfur dioxide; FLEXPART-WRF
    National Category
    Earth and Related Environmental Sciences Meteorology and Atmospheric Sciences
    Research subject
    Meteorology
    Identifiers
    urn:nbn:se:uu:diva-264437 (URN)10.1016/j.atmosenv.2016.02.030 (DOI)000374614500003 ()
    Funder
    EU, European Research Council, 18354Sida - Swedish International Development Cooperation Agency, SWE-2008-064Swedish National Infrastructure for Computing (SNIC), p2011191
    Available from: 2015-10-12 Created: 2015-10-12 Last updated: 2022-01-29Bibliographically approved
    Download full text (pdf)
    fulltext
  • 4.
    Dingwell, Adam
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL. Centre for Natural Disaster Science.
    Dispersion modelling of volcanic emissions2016Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Gases and particles released by volcanoes pose a serious hazard to humans and society. Emissions can be transported over long distances before being reduced to harmless concentrations. Knowing which areas are, or will be, exposed to volcanic emissions is an important part inreducing the impact on human health and society. In this thesis, the dispersion of volcanic emissions is studied using a set of atmospheric models.

    The work includes contribution to the development of the Lagrangian Particle Dispersion Model FLEXPART-WRF. Three case studies have been performed, one studying potential ash emissions from potential future eruptions on Iceland, a second covering SO2 emissions from Mt. Nyiragongo in D.R. Congo, and a third studying the SO2 emission rate of the Holuhraun eruption (Iceland) in 2014–2015.

    The first study covers volcanic ash hazard for air traffic over Europe. Three years of meteorological data are used to repeatedly simulate dispersion from different eruption scenarios. The simulations are used to study the probability of hazardous concentrations in ash in European airspace. The ash hazard shows a seasonal variation with a higher probability of efficient eastward transport in winter, while summer eruptions pose a more persistent hazard.

    In the second study, regional gas exposure around Mt. Nyiragongo is modelled using flux measurements to improve the description of the emission source. Gases are generally transported to the north-west in June–August and to the south-west in December–January. A diurnal variation due to land breeze around lake Kivu contributes to high concentrations of SO2 along the northern shore during the night. Potentially hazardous concentrations are occasionally reached in populated areas in the region, but mainly during the nights.

    The third study uses inverse dispersion modelling to determine the height and emission rates based on traverse measurements of the plume at 80–240 km from the source. The calculated source term yields better agreement with satellite observations compared to commonly used column sources.

    The work in this thesis presents improvements in dispersion modelling of volcanic emissions through improved models, more accurate representation of the source terms, and through incorporating new types of measurements into the modelling systems.

    List of papers
    1. The Lagrangian particle dispersion model FLEXPART-WRF version 3.1
    Open this publication in new window or tab >>The Lagrangian particle dispersion model FLEXPART-WRF version 3.1
    Show others...
    2013 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 6, no 6, p. 1889-1904Article in journal (Refereed) Published
    Abstract [en]

    The Lagrangian particle dispersion model FLEXPART was originally designed for calculating long-range and mesoscale dispersion of air pollutants from point sources, such that occurring after an accident in a nuclear power plant. In the meantime, FLEXPART has evolved into a comprehensive tool for atmospheric transport modeling and analysis at different scales. A need for further multiscale modeling and analysis has encouraged new developments in FLEXPART. In this paper, we present a FLEXPART version that works with the Weather Research and Forecasting (WRF) mesoscale meteorological model. We explain how to run this new model and present special options and features that differ from those of the preceding versions. For instance, a novel turbulence scheme for the convective boundary layer has been included that considers both the skewness of turbulence in the vertical velocity as well as the vertical gradient in the air density. To our knowledge, FLEXPART is the first model for which such a scheme has been developed. On a more technical level, FLEXPART-WRF now offers effective parallelization, and details on computational performance are presented here. FLEXPART-WRF output can either be in binary or Network Common Data Form (NetCDF) format, both of which have efficient data compression. In addition, test case data and the source code are provided to the reader as a Supplement. This material and future developments will be accessible at http://www.flexpart.eu.

    National Category
    Meteorology and Atmospheric Sciences
    Research subject
    Meteorology
    Identifiers
    urn:nbn:se:uu:diva-233381 (URN)10.5194/gmd-6-1889-2013 (DOI)000329050500003 ()
    Available from: 2014-10-02 Created: 2014-10-02 Last updated: 2017-12-05Bibliographically approved
    2. Estimating volcanic ash hazard in European airspace
    Open this publication in new window or tab >>Estimating volcanic ash hazard in European airspace
    2014 (English)In: Journal of Volcanology and Geothermal Research, ISSN 0377-0273, E-ISSN 1872-6097, Vol. 286, p. 55-66Article in journal (Refereed) Published
    Abstract [en]

    The widespread disruption of European air traffic in late April 2010, during the eruption of Eyjafjallajökull,showed the importance of early assessment of volcanic hazard from explosive eruptions. In this study, wefocus on the short-term hazard of airborne ash from a climatological perspective, focusing on eruptions onIceland. By studying eruptions of different intensity and frequency, we estimate the overall probability that ashconcentration levels considered hazardous to aviation are exceeded over different parts of Europe.

    The method involves setting up a range of eruption scenarios based on the eruptive history of Icelandic volcanoes,and repeated simulation of these scenarios for 2 years' worth of meteorological data. Simulations are conducted using meteorological data from the ERA-Interim reanalysis set, which is downscaled using the Weather Researchand Forecasting (WRF) model. The weather data are then used to drive the Lagrangian particle dispersion model FLEXPART-WRF for each of the eruption scenarios. A set of threshold values, commonly used in Volcanic Ash Advisories, are used to analyze concentration data from the dispersion model.

    We see that the dispersion of ash is highly dominated by the mid-latitude westerlies and mainly affect northern UK and the Scandinavian peninsula. The occurrence of high ash levels from Icelandic volcanoes is lower over con-tinental Europe but should not be neglected for eruptions when the release rate of fine ash (<16 μm) is in theorder of 107 kg s−1 or higher.

    There is a clear seasonal variation in the ash hazard. During the summer months, the dominating dispersiondirection is less distinct with some plumes extending to the northwest and Greenland. In contrast, during thewinter months, the strong westerly winds tend to transport most of the emissions eastwards. The affected area of a winter-time eruption is likely to be larger as high concentrations can be found at a further distance downwind from the volcano, effectively increasing the probability of hazardous levels of ash reaching the European continent.

    The concentration thresholds for aviation, which were adopted after the Eyjafjallajökull eruption in 2010, havestrong influence on the hazard estimates for weaker eruptions but is less important for larger eruptions; thusash forecasts for weaker eruptions are likely more uncertain in comparison to larger eruptions.

    Keywords
    Dispersion modelling, FLEXPART, Aviation safety, Climatology Hazard, Iceland
    National Category
    Meteorology and Atmospheric Sciences Geosciences, Multidisciplinary
    Identifiers
    urn:nbn:se:uu:diva-233386 (URN)10.1016/j.jvolgeores.2014.08.022 (DOI)000346551400006 ()
    Available from: 2014-10-02 Created: 2014-10-02 Last updated: 2017-12-05Bibliographically approved
    3. Seasonal and diurnal patterns in the dispersionof SO2 from Mt. Nyiragongo
    Open this publication in new window or tab >>Seasonal and diurnal patterns in the dispersionof SO2 from Mt. Nyiragongo
    Show others...
    2016 (English)In: Atmospheric Environment, ISSN 1352-2310, E-ISSN 1873-2844, Vol. 132, p. 19-29Article in journal (Refereed) Published
    Abstract [en]

    Mt. Nyiragongo is an active volcano located in the Democratic Republic of Congo, close to the border of Rwanda and about 15 km north of the city of Goma (similar to 1,000,000 inhabitants). Gases emitted from Nyiragongo might pose a persistent hazard to local inhabitants and the environment. While both ground- and satellite-based observations of the emissions exist, prior to this study, no detailed analysis of the dispersion of the emissions have been made. We have conducted a dispersion study, using a modelling system to determine the geographical distribution of SO2. A combination of a meteorological model (WRF), a Lagrangian particle dispersion model (FLEXPART-WRF) and flux data based on DOAS measurements from the NOVAC-network is used. Since observations can only be made during the day, we use random sampling of fluxes and ensemble modelling to estimate night-time emissions. Seasonal variations in the dispersion follows the migration of the Inter Tropical Convergence Zone. In June-August, the area with the highest surface concentrations is located to the northwest, and in December-February, to the southwest of the source. Diurnal variations in surface concentrations were determined by the development of the planetary boundary layer and the lake-/land breeze cycle around lake Kivu. Both processes contribute to low surface concentrations during the day and high concentrations during the night. However, the strong northerly trade winds in November-March weakened the lake breeze, contributing to higher daytime surface concentrations along the northern shore of Lake Kivu, including the city of Goma. For further analysis and measurements, it is important to include both seasonal and diurnal cycles in order to safely cover periods of high and potentially hazardous concentrations.

    Keywords
    Dispersion modelling; Volcanic degassing; Nyiragongo; Sulfur dioxide; FLEXPART-WRF
    National Category
    Earth and Related Environmental Sciences Meteorology and Atmospheric Sciences
    Research subject
    Meteorology
    Identifiers
    urn:nbn:se:uu:diva-264437 (URN)10.1016/j.atmosenv.2016.02.030 (DOI)000374614500003 ()
    Funder
    EU, European Research Council, 18354Sida - Swedish International Development Cooperation Agency, SWE-2008-064Swedish National Infrastructure for Computing (SNIC), p2011191
    Available from: 2015-10-12 Created: 2015-10-12 Last updated: 2022-01-29Bibliographically approved
    4. Using DOAS traverses and atmospheric modelling to determine plumeheight and eruption rate of the 2015 Holuhraun eruption
    Open this publication in new window or tab >>Using DOAS traverses and atmospheric modelling to determine plumeheight and eruption rate of the 2015 Holuhraun eruption
    (English)Manuscript (preprint) (Other academic)
    Abstract [en]

    The fissure eruption in Holuhraun — part of the Barðarbunga volcanic system — in 2014–2015 was amajor emitter of SO 2 . We present estimates of the SO 2 release rate of the eruption based on inverseatmospheric modelling and mobile-DOAS measurements made 80–240 km downwind of the main fissurevent. The FLEXPART-WRF and FLEXPART models are used to simulate the dispersion, using differentmeteorological data sets as input. Different inversion schemes were used to determine emission rates basedon modelled and measured column densities. The results were compared with OMI satellite observationsfor validation. This is, to our knowledge, the first case where a ground-based mobile-DOAS measurementshave been used in an atmospheric dispersion model for inverse modelling.

    Comparisons were made between dispersion simulations based on meteorological data from different con-figurations of the WRF-model (at a resolution of 1.5 km); comparisons were also made using analysis andforecast data from ECMWF (at 0.2 degree resolution). Dispersion simulations based on data from ECMWFshowed better agreement with OMI satellite data than any of the simulations based on data from WRF.The inversion technique produced less variable emission rates compared to previous estimates, except duringperiods with low directional wind shear. Plume heights determined by the inverse modelling were below4 km for all periods.

    We estimate the emission rate of the eruption to 500 kg/s in September 2014 and to 150 kg/s in thebeginning of February 2015, with a steady decrease over time.

    Keywords
    Dispersion modelling, FLEXPART, Volcanic eruption, Sulfur dioxide, Holuhraun
    National Category
    Meteorology and Atmospheric Sciences
    Research subject
    Meteorology
    Identifiers
    urn:nbn:se:uu:diva-303950 (URN)
    Available from: 2016-09-27 Created: 2016-09-27 Last updated: 2020-05-12Bibliographically approved
    Download full text (pdf)
    fulltext
    Download (jpg)
    preview image
  • 5.
    Dingwell, Adam
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL. Centre for Natural Disaster Science.
    Arellano, Santiago
    Department of Earth and Space Sciences, Chalmers University of Technology, Gothenburg, Sweden..
    Rutgersson, Anna
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Galle, Bo
    Department of Earth and Space Sciences, Chalmers University of Technology, Gothenburg, Sweden..
    Using DOAS traverses and atmospheric modelling to determine plumeheight and eruption rate of the 2015 Holuhraun eruptionManuscript (preprint) (Other academic)
    Abstract [en]

    The fissure eruption in Holuhraun — part of the Barðarbunga volcanic system — in 2014–2015 was amajor emitter of SO 2 . We present estimates of the SO 2 release rate of the eruption based on inverseatmospheric modelling and mobile-DOAS measurements made 80–240 km downwind of the main fissurevent. The FLEXPART-WRF and FLEXPART models are used to simulate the dispersion, using differentmeteorological data sets as input. Different inversion schemes were used to determine emission rates basedon modelled and measured column densities. The results were compared with OMI satellite observationsfor validation. This is, to our knowledge, the first case where a ground-based mobile-DOAS measurementshave been used in an atmospheric dispersion model for inverse modelling.

    Comparisons were made between dispersion simulations based on meteorological data from different con-figurations of the WRF-model (at a resolution of 1.5 km); comparisons were also made using analysis andforecast data from ECMWF (at 0.2 degree resolution). Dispersion simulations based on data from ECMWFshowed better agreement with OMI satellite data than any of the simulations based on data from WRF.The inversion technique produced less variable emission rates compared to previous estimates, except duringperiods with low directional wind shear. Plume heights determined by the inverse modelling were below4 km for all periods.

    We estimate the emission rate of the eruption to 500 kg/s in September 2014 and to 150 kg/s in thebeginning of February 2015, with a steady decrease over time.

  • 6.
    Dingwell, Adam
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Rutgersson, Anna
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Estimating volcanic ash hazard in European airspace2014In: Journal of Volcanology and Geothermal Research, ISSN 0377-0273, E-ISSN 1872-6097, Vol. 286, p. 55-66Article in journal (Refereed)
    Abstract [en]

    The widespread disruption of European air traffic in late April 2010, during the eruption of Eyjafjallajökull,showed the importance of early assessment of volcanic hazard from explosive eruptions. In this study, wefocus on the short-term hazard of airborne ash from a climatological perspective, focusing on eruptions onIceland. By studying eruptions of different intensity and frequency, we estimate the overall probability that ashconcentration levels considered hazardous to aviation are exceeded over different parts of Europe.

    The method involves setting up a range of eruption scenarios based on the eruptive history of Icelandic volcanoes,and repeated simulation of these scenarios for 2 years' worth of meteorological data. Simulations are conducted using meteorological data from the ERA-Interim reanalysis set, which is downscaled using the Weather Researchand Forecasting (WRF) model. The weather data are then used to drive the Lagrangian particle dispersion model FLEXPART-WRF for each of the eruption scenarios. A set of threshold values, commonly used in Volcanic Ash Advisories, are used to analyze concentration data from the dispersion model.

    We see that the dispersion of ash is highly dominated by the mid-latitude westerlies and mainly affect northern UK and the Scandinavian peninsula. The occurrence of high ash levels from Icelandic volcanoes is lower over con-tinental Europe but should not be neglected for eruptions when the release rate of fine ash (<16 μm) is in theorder of 107 kg s−1 or higher.

    There is a clear seasonal variation in the ash hazard. During the summer months, the dominating dispersiondirection is less distinct with some plumes extending to the northwest and Greenland. In contrast, during thewinter months, the strong westerly winds tend to transport most of the emissions eastwards. The affected area of a winter-time eruption is likely to be larger as high concentrations can be found at a further distance downwind from the volcano, effectively increasing the probability of hazardous levels of ash reaching the European continent.

    The concentration thresholds for aviation, which were adopted after the Eyjafjallajökull eruption in 2010, havestrong influence on the hazard estimates for weaker eruptions but is less important for larger eruptions; thusash forecasts for weaker eruptions are likely more uncertain in comparison to larger eruptions.

  • 7.
    Dingwell, Adam
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Rutgersson, Anna
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Claremar, Björn
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Arellano, S.
    Chalmers, Dept Earth & Space Sci, S-41296 Gothenburg, Sweden.
    Mapendano, Y.
    Observ Volcanol Goma, Goma, DEM REP CONGO.
    Galle, B.
    Chalmers, Dept Earth & Space Sci, S-41296 Gothenburg, Sweden.
    Seasonal and diurnal patterns in the dispersionof SO2 from Mt. Nyiragongo2016In: Atmospheric Environment, ISSN 1352-2310, E-ISSN 1873-2844, Vol. 132, p. 19-29Article in journal (Refereed)
    Abstract [en]

    Mt. Nyiragongo is an active volcano located in the Democratic Republic of Congo, close to the border of Rwanda and about 15 km north of the city of Goma (similar to 1,000,000 inhabitants). Gases emitted from Nyiragongo might pose a persistent hazard to local inhabitants and the environment. While both ground- and satellite-based observations of the emissions exist, prior to this study, no detailed analysis of the dispersion of the emissions have been made. We have conducted a dispersion study, using a modelling system to determine the geographical distribution of SO2. A combination of a meteorological model (WRF), a Lagrangian particle dispersion model (FLEXPART-WRF) and flux data based on DOAS measurements from the NOVAC-network is used. Since observations can only be made during the day, we use random sampling of fluxes and ensemble modelling to estimate night-time emissions. Seasonal variations in the dispersion follows the migration of the Inter Tropical Convergence Zone. In June-August, the area with the highest surface concentrations is located to the northwest, and in December-February, to the southwest of the source. Diurnal variations in surface concentrations were determined by the development of the planetary boundary layer and the lake-/land breeze cycle around lake Kivu. Both processes contribute to low surface concentrations during the day and high concentrations during the night. However, the strong northerly trade winds in November-March weakened the lake breeze, contributing to higher daytime surface concentrations along the northern shore of Lake Kivu, including the city of Goma. For further analysis and measurements, it is important to include both seasonal and diurnal cycles in order to safely cover periods of high and potentially hazardous concentrations.

  • 8.
    Nilsson, Erik O.
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Rutgersson, Anna
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Dingwell, Adam
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Björkqvist, Jan-Victor
    Finnish Meteorological Institute.
    Pettersson, Heidi
    Finnish Meteorological Institute.
    Axell, Lars
    Swedish Meteorological and Hydrological Institute.
    Nyberg, Johan
    Geological Survey of Sweden.
    Strömstedt, Erland
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
    Characterization of Wave Energy Potential for the Baltic Sea with Focus on the Swedish Exclusive Economic Zone2019In: Energies, E-ISSN 1996-1073, Vol. 12, no 5, article id 793Article in journal (Refereed)
    Abstract [en]

    In this study, a third-generation wave model is used to examine the wave power resource for the Baltic Sea region at an unprecedented one-kilometer-scale resolution for the years 1998 to 2013. Special focus is given to the evaluation and description of wave field characteristics for the Swedish Exclusive Economic Zone (SEEZ). It is carried out to provide a more detailed assessment of the potential of waves as a renewable energy resource for the region. The wave energy potential is largely controlled by the distance from the coast and the fetch associated with the prevailing dominant wave direction. The ice cover is also shown to significantly influence the wave power resource, especially in the most northern basins of the SEEZ. For the areas in focus here, the potential annual average wave energy flux reaches 45 MWh/m/year in the two sub-basins with the highest wave energies, but local variations are up to 65 MWh/m/year. The assessment provides the basis for a further detailed identification of potential sites for wave energy converters. An outlook is given for additional aspects studied within a broad multi-disciplinary project to assess the conditions for offshore wave energy conversion within the SEEZ.

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  • 9.
    Nilsson, Erik
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Wrang, Linus
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Rutgersson, Anna
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Dingwell, Adam
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
    Strömstedt, Erland
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Electricity.
    Assessment of Extreme and Metocean Conditions in the Swedish Exclusive Economic Zone for Wave Energy2020In: Atmosphere, ISSN 2073-4433, E-ISSN 2073-4433, Vol. 11, no 3, article id 229Article in journal (Refereed)
    Abstract [en]

    Here, accessibility to near-shore and offshore marine sites is evaluated based on wave and ice conditions. High-resolution third-generation wave model results are used to examine the operation and maintenance conditions for renewable energy sources with a focus on wave energy. Special focus is given to the wave field and ice characteristics for areas within the Swedish Exclusive Economic Zone including analysis of return levels for extreme values for significant wave height, which provides guidance for dimensioning wave energy converters. It is shown that the number of weather windows and accessibility are influenced by distance from the coast and sea-ice conditions. The longest waiting periods for the closest weather window that is available for Operation and Maintenance (O&M) is in ice-free conditions shown to be strongly correlated with the fetch conditions. The sheltered Baltic Sea is shown to have very high accessibility if marine infrastructure and vessels are designed for access limits of significant wave height up to 3 m. In the northern basins, the waiting periods increase significantly, if and when the ice-conditions are found to be critical for the O&M activity considered. The ice-conditions are examined based on compiled operational sea-ice data over a climatic time period of 34 years. The results are location specific for the Swedish Exclusive Economic Zone, but the analysis methods are transferable and applicable to many other parts of the world, to facilitate assessment of the most promising areas in different regions.

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    fulltext
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