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Professor Roy Grainger

Reader in Atmospheric Physics

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Earth Observation Data Group
Don.Grainger@physics.ox.ac.uk
Telephone: 01865 (2)72888
Robert Hooke Building, room S47
  • About
  • Publications

Balloon-borne measurement of the aerosol size distribution from an Icelandic flood basalt eruption

Earth and Planetary Science Letters Elsevier 453 (2017) 252-259

Authors:

D Vignelles, TJ Roberts, E Carboni, E Ilyinskaya, M Pfeffer, P Dagsson Waldhauserova, A Schmidt, G Berthet, F Jegou, J-B Renard, H Ólafsson, B Bergsson, R Yeo, N Fannar Reynisson, Roy Grainger, B Galle, V Conde, S Arellano, T Lurton, B Coute, V Duverger

Abstract:

We present in situ balloon-borne measurements of aerosols in a volcanic plume made during the Holuhraun eruption (Iceland) in January 2015. The balloon flight intercepted a young plume at 8 km distance downwind from the crater, where the plume is ∼15 min of age. The balloon carried a novel miniature optical particle counter LOAC (Light Optical Aerosol Counter) which measures particle number concentration and size distribution in the plume, alongside a meteorological payload. We discuss the possibility of calculating particle flux by combining LOAC data with measurements of sulfur dioxide flux by ground-based UV spectrometer (DOAS). The balloon passed through the plume at altitude range of 2.0–3.1 km above sea level (a.s.l.). The plume top height was determined as 2.7–3.1 km a.s.l., which is in good agreement with data from Infrared Atmospheric Sounding Interferometer (IASI) satellite. Two distinct plume layers were detected, a non-condensed lower layer (300 m thickness) and a condensed upper layer (800 m thickness). The lower layer was characterized by a lognormal size distribution of fine particles (0.2 μm diameter) and a secondary, coarser mode (2.3 μm diameter), with a total particle number concentration of around 100 cm −3 in the 0.2–100 μm detection range. The upper layer was dominated by particle centered on 20 μm in diameter as well as containing a finer mode (2 μm diameter). The total particle number concentration in the upper plume layer was an order of magnitude higher than in the lower layer. We demonstrate that intercepting a volcanic plume with a meteorological balloon carrying LOAC is an efficient method to characterize volcanic aerosol properties. During future volcanic eruptions, balloon-borne measurements could be carried out easily and rapidly over a large spatial area in order to better characterize the evolution of the particle size distribution and particle number concentrations in a volcanic plume.
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Retrieval of volcanic SO2 from HIRS/2 using optimal estimation

ATMOSPHERIC MEASUREMENT TECHNIQUES 10:7 (2017) 2687-2702

Authors:

GM Miles, R Siddans, RG Grainger, AJ Prata, B Fisher, N Krotkov
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Retrieval of volcanic SO2 from HIRS/2 using optimal estimation

Atmospheric Measurement Techniques Discussions (2017) 1-30

Authors:

GM Miles, R Siddans, RG Grainger, AJ Prata, B Fisher, N Krotkov, B Kerridge
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Variational assimilation of IASI SO2 plume height and total column retrievals in the 2010 eruption of Eyjafjallajökull using the SILAM v5.3 chemistry transport model

Geoscientific Model Development Copernicus Publications 10:5 (2017) 1985-2017

Authors:

Julius Vira, Elisa Carboni, Roy G Grainger, Mikhail Sofiev

Abstract:

This study focuses on two new aspects of inverse modelling of volcanic emissions. First, we derive an observation operator for satellite retrievals of plume height, and second, we solve the inverse problem using an algorithm based on the 4D-Var data assimilation method. The approach is first tested in a twin experiment with simulated observations and further evaluated by assimilating IASI SO2 plume height and total column retrievals in a source term inversion for the 2010 eruption of Eyjafjallajökull. The inversion resulted in temporal and vertical reconstruction of the SO2 emissions during 1–20 May 2010 with formal vertical and temporal resolutions of 500 m and 12 h.

The plume height observation operator is based on simultaneous assimilation of the plume height and total column retrievals. The plume height is taken to represent the vertical centre of mass, which is transformed into the first moment of mass (centre of mass times total mass). This makes the observation operator linear and simple to implement. The necessary modifications to the observation error covariance matrix are derived.

Regularization by truncated iteration is investigated as a simple and efficient regularization method for the 4D-Var-based inversion. In the twin experiments, the truncated iteration was found to perform similarly to the commonly used Tikhonov regularization, which in turn is equivalent to a Gaussian a priori source term. However, the truncated iteration allows the level of regularization to be determined a posteriori without repeating the inversion.

In the twin experiments, assimilating the plume height retrievals resulted in a 5–20 % improvement in root mean squared error but simultaneously introduced a 10–20 % low bias on the total emission depending on assumed emission profile. The results are consistent with those obtained with real data. For Eyjafjallajökull, comparisons with observations showed that assimilating the plume height retrievals reduced the overestimation of injection height during individual periods of 1–3 days, but for most of the simulated 20 days, the injection height was constrained by meteorological conditions, and assimilation of the plume height retrievals had only small impact. The a posteriori source term for Eyjafjallajökull consisted of 0.29 Tg (with total column and plume height retrievals) or 0.33 Tg (with total column retrievals only) erupted SO2 of which 95 % was injected below 11 or 12 km, respectively.

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Variational assimilation of IASI SO2 plume height and total column retrievals in the 2010 eruption of Eyjafjallajokull using the SILAM v5.3 chemistry transport model

GEOSCIENTIFIC MODEL DEVELOPMENT 10:5 (2017) 1985-2008

Authors:

J Vira, E Carboni, RG Grainger, M Sofiev
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