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The Eyjafjallaj

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The Eyjafjallaj kull eruption: How well were the volcanic ash clouds predicted? Helen Dacre and Alan Grant Robin Hogan, Dave Thomson, Ben Devenish, Jim Haywood ... – PowerPoint PPT presentation

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Title: The Eyjafjallaj


1
The Eyjafjallajökull eruption How well were the
volcanic ash clouds predicted?
  • Helen Dacre and Alan Grant
  • Robin Hogan, Dave Thomson, Ben Devenish, Jim
    Haywood, Franco Marenco, Ben Johnson, Albert
    Ansmann, Ina Mattis and Lieven Clarisse

2
Motivation
3
Motivation
  • EUROCONTROL report from 14 - 20 April
  • 75 of European airspace closed
  • 100,000 flights cancelled
  • 10 million passenger journeys affected
  • 7000 flights cancelled up to 18 May

Level Concentration (mg/m3)
High gt 4
Medium 0.2 - 2
Low lt 0.2
4
Talk Outline
  • Operational volcanic ash transport and dispersion
    (VATD) models
  • Quantitative model predictions
  • Source parameter uncertainty
  • Meteorological input uncertainty
  • Future Work

5
Operational VATD Modelling
MODEL
OUTPUT
INPUT
6
Eyjafjallajökull Source Parameters
H
7
Column Integrated Mass Concentration 14-18th
April
8
Fine-ash Fraction?
Mastin et al. (2009)
9
Comparison with ground based lidar
10
IASI Volcanic Ash Product
12UTC 16th April
00UTC 16th April
Leipzig
Leipzig
10UTC 16th April
22UTC 15th April
Leipzig
Leipzig
L. Clarisse
11
Scaling to Observed Concentration at Leipzig
A. Ansmann I. Mattis
1.5
12
MODIS Visible Image
12UTC 16th April
Chilbolton
1224UTC 16th April
1044UTC 16th April
(Hogan et al. 2011)
13
Scaling to Observed Concentration at Chilbolton
(Hogan et al. 2011)
14
Eruption Plume Height Data
Missing scan
Cloud obscured
Mountain obscured
  • 5-minute time series of plume height from the
    Icelandic radar (data from Petersen and Arason)

15
Plume Height Reconstruction
4
3
16
Comparison with aircraft lidar
17
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18
5th May
19
14th May
20
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21
14th 1.3 - 2.5
5th 7.5
17th 1.6
22
Peak Concentration and Layer Width
5
2
  • Ash layer width integrated column mass/max
    concentraton

23
Comparison with Airborne spectrometers
24
Fine Ash Particle Size Distribution
14th 2.1
25
Fine Ash Particle Size Distribution
5th 10.6
14th 2.1
17th 3.1
26
Fine Ash Fraction
3.5
27
Summary
  • It is possible to identify the ash layers
    detected with the ground based and airborne
    lidars with layers in the NAME simulations
  • Observed ash layers are thinner than teh
    simulated layers and at lower altitude
  • Horizontal and vertical structure of the
    simulated ash clouds are sensitive to assumptions
    about the profile of the ash emissions no best
    profile but for weak activity a uniform profile
    may be best but for greater activity a
    concentrated profile better
  • Quantitative comparison suggests that only about
    3.5 of the erupted mass was in ash particles
    small enough to allow long-range transport
  • It is necessary to represent the large,
    short-term fluctuations in plume height
    accurately

28
Summary
  • NAME did a reasonable job of capturing the
    horizontal structure of the ash cloud subject to
    possible timing and positioning errors that occur
    due to meteorology
  • NAME underestimates maximum concentrations by a
    factor of about 2.5
  • OR NAME overestimates layer with by a factor of
    2.5
  • Default particle size distribution in NAME
    contains too many 10-30µm diameter particles

29
Talk Outline
  • Operational volcanic ash dispersion modelling
  • Model input uncertainty
  • Eruption plume height, vertical distribution
  • Peak concentrations
  • Fine ash fraction
  • Particle size distribution
  • Model/observation comparisons
  • Satellites
  • Lidars (ground and aircraft based)
  • In-situ particle measurements
  • Will we do better next time?
  • Future work

30
Operational Volcanic Ash Modelling
  • NAME dispersion model
  • Input
  • Eruption location
  • Eruption start time and duration
  • Eruption height, vertical distribution
  • Eruption rate (fine ash fraction)
  • Particle size distribution, density
  • Sedimentation velocity
  • Meteorology
  • Output
  • Ash concentration
  • Mean travel time

31
Synoptic Analysis at 00UTC on 16th April
32
Modis AQUA visible image at 1323 UTC
12UTC 16th April
33
IASI Measured Volcanic Ash
22UTC 14th April
10UTC 15th April
22UTC 15th April
10UTC 16th April
34
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35
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