The Eyjafjallajökull ash plume – Part 2: Simulating ash cloud dispersion with REMOTE

O’Dowd, Colin; Varghese, Saji; Martin, Damien; Flanagan, Robert J.; McKinstry, Alastair; Čeburnis, Darius; Ovadnevaitė, Jurgita; Martucci, Giovanni; Białek, Jakub; Monahan, Ciaran; Berresheim, H.; Vaishya, Aditya; Grigas, Tomas; McGraw, Zachary; Jennings, S. G.; Langmann, Bärbel; Semmler, Tido; McGrath, Ray

doi:10.1016/j.atmosenv.2011.10.037

Cited by 17 publications

(6 citation statements)

References 34 publications

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“…A shared view within the scientific community is to identify the PBL as the region where turbulent mixing of gas and aerosol occurs [1][2][3][4]. High concentrations (higher than in the PBL) of aerosol can also be found in correspondence of elevated aerosol layers of volcanic or desert dust origin in the free troposphere and up to the lower stratosphere [5][6][7][8][9][10]. Atmospheric aerosols affect air quality and climate: in terms of air quality, aerosols influence human health, leading to increased mortality rates and respiratory pathologies [11].…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Pseudo-Operational Ground-Based Light Detection and Ranging Sensors to Determine the Boundary-Layer Structure in the Coastal Atmosphere

Milroy

Martucci

Lolli

et al. 2012

Advances in Meteorology

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Twenty-one cases of boundary-layer structure were retrieved by three co-located remote sensors, One LIDAR and two ceilometers at the coastal site of Mace Head, Ireland. Data were collected during the ICOS field campaign held at the GAW Atmospheric Station of Mace Head, Ireland, from 8th to 28th of June, 2009. The study is a two-step investigation of the BL structure based on (i) the intercomparison of the backscatter profiles from the three laser sensors, namely the Leosphere ALS300 LIDAR, the Vaisala CL31 ceilometer and the Jenoptik CHM15K ceilometer; (ii) and the comparison of the backscatter profiles with twenty-three radiosoundings performed during the period from the 8th to the 15th of June, 2009. The sensor-independent Temporal Height-Tracking algorithm was applied to the backscatter profiles as retrieved by each instrument to determine the decoupled structure of the BL over Mace Head. The LIDAR and ceilometers-retrieved BL heights were compared to the radiosoundings temperature profiles. The comparison between the remote and the in-situ data proved the existence of the inherent link between temperature and aerosol backscatter profiles and opened at future studies focusing on the further assessment of LIDAR-ceilometer comparison.

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Section: Introductionmentioning

confidence: 99%

An Assessment of Pseudo-Operational Ground-Based Light Detection and Ranging Sensors to Determine the Boundary-Layer Structure in the Coastal Atmosphere

Milroy

Martucci

Lolli

et al. 2012

Advances in Meteorology

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“…Coleman et al, 2013;Langmann et al, 2012;O'Dowd et al, 2012;Pfeffer et al, 2012 WRF-Chem is used for research applications or for forecasting of air quality (e.g. http://verde.lma.fi.upm.es/ wrfchemeu), volcanic ash dispersion, and weather.…”

Section: A16 Remote/remo-ham Germanymentioning

confidence: 99%

Online coupled regional meteorology chemistry models in Europe: current status and prospects

et al. 2014

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Published by Copernicus Publications on behalf of the European Geosciences Union. A. Baklanov et al.: Online coupled regional meteorology chemistry models in EuropeAbstract. Online coupled mesoscale meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and regional climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. Two ways of online coupling can be distinguished: online integrated and online access coupling. Online integrated models simulate meteorology and chemistry over the same grid in one model using one main time step for integration. Online access models use independent meteorology and chemistry modules that might even have different grids, but exchange meteorology and chemistry data on a regular and frequent basis. This article offers a comprehensive review of the current research status of online coupled meteorology and atmospheric chemistry modelling within Europe. Eighteen regional online coupled models developed or being used in Europe are described and compared. Topics discussed include a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition; a brief overview of existing online mesoscale models and European model developments; an analysis on how feedback processes are treated in these models; numerical issues associated with coupled models; and several case studies and model performance evaluation methods. Finally, this article highlights selected scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for the three scientific communities: air quality, numerical meteorology modelling (including weather prediction) and climate modelling. This review will be of particular interest to model developers and users in all three fields as it presents a synthesis of scientific progress and provides recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.

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“…REMOTE (Regional Model with Tracer Extension) was developed in order to simulate the postemission dispersal and processing of a range of natural and anthropogenic trace gas and aerosol emissions [ Langmann , ] and has already been applied to volcanic SO 2 emissions in Indonesia [ Pfeffer et al , ] and Nicaragua [ Langmann et al , ]; other studies have simulated volcanic ash transport, forest fire emissions, and anthropogenic pollution [ Marmer and Langmann , ; Langmann et al , ; Pfeffer et al , ; O'Dowd et al , ].…”

Section: Remote Simulationsmentioning

confidence: 99%

A comparison of satellite‐ and ground‐based measurements of SO₂ emissions from Tungurahua volcano, Ecuador

et al. 2014

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Satellite-measured SO 2 mass loadings and ground-based measurements of SO 2 emission rate are not directly comparable, with ∼40% differences between mean emissions reported by each technique from Tungurahua volcano, Ecuador, during late 2007. Numerical simulations of postemission processing and dispersal of Tungurahua's SO 2 emissions enable more effective comparison of ground-and satellite-based SO 2 data sets, reducing the difference between them and constraining the impact of plume processing on satellite SO 2 observations. Ground-based measurements of SO 2 emission rate are used as the model input, and simulated SO 2 mass loadings are compared to those measured by the Ozone Monitoring Instrument (OMI). The changing extent of SO 2 processing has a significant impact on daily variation in SO 2 mass loading for a fixed volcanic emission rate. However, variations in emission rate at Tungurahua are large, suggesting that overall volcanic source strength and not subsequent processing is more likely to be the dominant control on atmospheric mass loading. SO 2 emission rate estimates are derived directly from the OMI observations using modeled SO 2 lifetime. Good agreement is achieved between both observed and simulated mass loadings (∼21%) and satellite-derived and ground-measured SO 2 emission rates (∼18%), with a factor of 2 improvement over the differences found by simple direct comparison. While the balance of emission source strength and postemission processing will differ between volcanoes and regions, under good observation conditions and where SO 2 lifetime is ∼24 hours, satellite-based sensors like OMI may provide daily observations of SO 2 mass loading which are a good proxy for volcanic source strength.

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The Eyjafjallajökull ash plume – Part 2: Simulating ash cloud dispersion with REMOTE

Cited by 17 publications

References 34 publications

An Assessment of Pseudo-Operational Ground-Based Light Detection and Ranging Sensors to Determine the Boundary-Layer Structure in the Coastal Atmosphere

An Assessment of Pseudo-Operational Ground-Based Light Detection and Ranging Sensors to Determine the Boundary-Layer Structure in the Coastal Atmosphere

Online coupled regional meteorology chemistry models in Europe: current status and prospects

A comparison of satellite‐ and ground‐based measurements of SO₂ emissions from Tungurahua volcano, Ecuador

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The Eyjafjallajökull ash plume – Part 2: Simulating ash cloud dispersion with REMOTE

Cited by 17 publications

References 34 publications

An Assessment of Pseudo-Operational Ground-Based Light Detection and Ranging Sensors to Determine the Boundary-Layer Structure in the Coastal Atmosphere

An Assessment of Pseudo-Operational Ground-Based Light Detection and Ranging Sensors to Determine the Boundary-Layer Structure in the Coastal Atmosphere

Online coupled regional meteorology chemistry models in Europe: current status and prospects

A comparison of satellite‐ and ground‐based measurements of SO2 emissions from Tungurahua volcano, Ecuador

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A comparison of satellite‐ and ground‐based measurements of SO₂ emissions from Tungurahua volcano, Ecuador