Development of a
volcanic ash
forecasting model

Damien Martin
28th June 2012




                 School Institute Name to go here
Background


   Icelandic volcano Eyjafjallajökull (first started on the 20
   March 2010 –
   second eruptive phase 15th until 20th April 2010)
   The total loss for the airline industry was estimated at US$1.7
   billion (IATA)
What made this volcanic activity so disruptive to air travel?

   1.The volcano's location is directly under the jet stream.

   2.The direction of the jet stream was unusually stable at the time
    of the eruption's second phase, maintaining a continuous south
    easterly heading

   3.The volcano's explosive power was sufficient to inject ash
   directly into the Jet Stream



                                           School Institute Name to go here
Background


4. The second eruptive phase took place under 200 m
(660 ft) of glacial ice. The resulting melt water flowed back
into the erupting volcano which created two specific
phenomena:

The rapidly vaporising water significantly increased the
eruption's explosive power

The erupting lava cooled very rapidly, which created a cloud
of highly abrasive, glass-rich ash, this caused a large
amount of flights to be cancelled in Ireland.
                                                                Typically an encounter
                                                                every year- average of ~3



                                                                       School Institute Name to go here
Volcanic Ash Advisory Centre (VAAC)


                   A Volcanic Ash Advisory Centre (VAAC)
                   is a group of experts responsible for
                   coordinating and disseminating
                   information on atmospheric volcanic ash
                   clouds that may endanger aviation.
                   The individual VAACs are run as part of
                   national weather forecasting
                   organisations

                   Met Office London Volcanic Ash
                   Advisory Centre (VAAC) provides
                   forecast guidance up to 24 hours
                   ahead to support decision-making



                                       School Institute Name to go here
Regulatory response – London VAAC output



                        4mg/m3 –no fly zone
                        2-4mg/m3 – risk assessment required
                        0.2-2 mg/m3

                        Calculated at 3 flight levels


                        ‘All concentrations are subject to a
                        level of uncertainty relative to errors
                        in the estimations of the eruption
                        strength’




                                        School Institute Name to go here
What is that uncertainty?



                                      Factor of 4-5
                                      uncertainty
Height (km)                           in this
                                      method!




     Log eruption strength (kg/sec)

                                             School Institute Name to go here
Motivation

‘ Questions have been raised about the level of sophistication of
  the VAAC models used since much ash micro-physical and
  chemical evolution processes are typically not present in
  VAAC models. The development of an accurate and timely
  forecasting model represents an important tool for Irish
  government and policy makers in order to respond quickly
  and efficiently to the impacts associated with volcanic ash
  emissions. A more accurate forecasting may also lessen the
  economic impact of such emissions.’


                                                 School Institute Name to go here
Model description

Three-dimensional on-line climate chemistry/aerosol model called REMOTE
(Regional Model with Tracer Extension)

Model Specifications
•81x 91x19 vertical grid boxes
•0.5 grid resolution (approx. 50 km2)
•6 h input and 3 h output resolution.
•Ash size distribution is constrained by the model to a lognormal    Model Domain
 distribution

PM10 emission rate data used for the simulations described here have been taken from the
European Monitoring and Evaluation Programme (EMEP, 2011) estimations. These data were
originally based on tephra estimates derived from preliminary thickness data obtained which was
measured on the 17th April at two locations 20 and 50 km east of the volcano.

                                                                     School Institute Name to go here
Model Outputs

                                            Low resolution mobile
standard spatial plot    Vertical profile   device version




                                                  School Institute Name to go here
Model
Automation




             School Institute Name to go here
Verification- remote sensing and in-situ measurements


LIDAR (Light Detection
And Ranging) is an optical
remote sensing
technology that measures
properties of scattered
light to find range and/or
other information of a
distant target.



                             Plume entered the boundary layer
                             at 22 UTC 19 April 2010, SO4
                             increased from 23 UTC.




                                                                Ground measurements
                                                                  with HR-ToF AMS
                                                                School Institute Name to go here
Model performance?




                     School Institute Name to go here
20 year climatology study – (1990 – 2010)

                               Changing meteorological
                               patterns and increased
                               rates of deposition over
                               the winter period.
                              •Number       of      total      column
                              execeedances for each of the
                              prescribed regulatory ash limits.

                              •Seasonal changes in ash height
                              profiles and its associated relationship
                              to exceedance of internationally
                              recognised flight levels.

                              •Calculation   and   tabulation of
                              regulatory exceedances at a number
                              of airports.

                                           School Institute Name to go here
Irish response

Irish Aviation Authority (IAA)

MACCII project - Europe's Global Monitoring for
Environment and Security initiative
                                                  4-node (North-South-East-
                                                  West) ash detection network
                                                  covering the primary pollution
                                                  entry directions around Irish
                                                  airspace and airports. Ireland is
                                                  ideally positioned to develop,
                                                  test and implement a ground-
                                                  based remote-sensing ash
                                                  detection pilot network due to its
                                                  proximity to major Icelandic
                                                  volcanic sources


                                                              School Institute Name to go here
Volcanic Ash Strategic-initiative Team (VAST)
                     (funded by ESA)
  Norwegian Institute for Air Research (NILU), Norway
  Finnish Meteorological Institute (FMI), Finland
  National University of Ireland Galway (NUIG), Ireland
  ZentralAnstalt für Meteorolgie und Geodynamik (ZAMG), Austria
  S&TCorp AS, Norway


To investigate satellite retrievals for volcanic ash

To evaluate and improve ash dispersion
To integrate Earth Observation Data and Models

To develop and introduce a volcanic ash prediction system




                                                                  School Institute Name to go here
Satellite retrieval


                      They can be divided into two main types:
                      low-earth orbiting satellites in polar
                      configurations   that   provide   global
                      coverage with rather limited temporal
                      coverage (typically twice per day) and
                      good spatial resolution (~1 km2),

                      and geosynchronous satellites that
                      provide very good temporal coverage
                      (up to 96 per day for some instruments)
                      but limited spatial coverage (70° total
                      field of view) and lower spatial
                      resolution (typically 10 km2).

                      For     the     aviation     problem, the
                      geosynchronous satellites are much
                      better suited because the need for high
                      temporal resolution outweighs the need
                      for high spatial resolution.

                                 School Institute Name to go here
NUIG component

•   Validation of eruption source Information
•   Evaluate specific source term models
    The efficacy of utilising a one-dimensional volcanic plume model such as
    PLUMERIA which incorporates inputs as vent temperature, radius and velocity, and
    the effects of water/ice phase changes will be investigated. PLUMERIA outputs
    graphs of velocity (from which eruption height is apparent), log density, plume
    radius, temperature, and water/ice mass fraction as functions of elevation and
    these values can be used to constrain the source term. This approach will then
    be evaluated against more typical used empirical considerations of the source term
    which may be subject to a high degree of uncertainty
•   Validation of satellite retrievals

•   Validation of modelling results

•   Development of a certification process of ash products

                                                                  School Institute Name to go here
Summary


 An automated volcanic ash dispersion model was developed
 and verified using both in situ and remote sensing techniques.
 Further work has being instigated in order to better
 characterise ash by improved modelling techniques and more
 in situ measurements.




                                                School Institute Name to go here
Acknowledgements


                Colin O’Dowd, Harald Berresheim
Remote sensing                    In- situ measurements   Modelling
Giovanni Martucci                 Darius Ceburnis         Liz Coleman
Tomas Grigas                      Jurgita Ovadnevaite     Saji Varghese
                                  Jakub Bialek            Robert Flanagan
                                  Ciaran Monaghan         Damien Martin
                                  Aditya Vaishya

ICHEC      (Alistair McKinstry)   and the EPA for funding this
work


                                                               School Institute Name to go here

Development of a volcanic ash forecasting model - Damien Martin

  • 1.
    Development of a volcanicash forecasting model Damien Martin 28th June 2012 School Institute Name to go here
  • 2.
    Background Icelandic volcano Eyjafjallajökull (first started on the 20 March 2010 – second eruptive phase 15th until 20th April 2010) The total loss for the airline industry was estimated at US$1.7 billion (IATA) What made this volcanic activity so disruptive to air travel? 1.The volcano's location is directly under the jet stream. 2.The direction of the jet stream was unusually stable at the time of the eruption's second phase, maintaining a continuous south easterly heading 3.The volcano's explosive power was sufficient to inject ash directly into the Jet Stream School Institute Name to go here
  • 3.
    Background 4. The seconderuptive phase took place under 200 m (660 ft) of glacial ice. The resulting melt water flowed back into the erupting volcano which created two specific phenomena: The rapidly vaporising water significantly increased the eruption's explosive power The erupting lava cooled very rapidly, which created a cloud of highly abrasive, glass-rich ash, this caused a large amount of flights to be cancelled in Ireland. Typically an encounter every year- average of ~3 School Institute Name to go here
  • 4.
    Volcanic Ash AdvisoryCentre (VAAC) A Volcanic Ash Advisory Centre (VAAC) is a group of experts responsible for coordinating and disseminating information on atmospheric volcanic ash clouds that may endanger aviation. The individual VAACs are run as part of national weather forecasting organisations Met Office London Volcanic Ash Advisory Centre (VAAC) provides forecast guidance up to 24 hours ahead to support decision-making School Institute Name to go here
  • 5.
    Regulatory response –London VAAC output 4mg/m3 –no fly zone 2-4mg/m3 – risk assessment required 0.2-2 mg/m3 Calculated at 3 flight levels ‘All concentrations are subject to a level of uncertainty relative to errors in the estimations of the eruption strength’ School Institute Name to go here
  • 6.
    What is thatuncertainty? Factor of 4-5 uncertainty Height (km) in this method! Log eruption strength (kg/sec) School Institute Name to go here
  • 7.
    Motivation ‘ Questions havebeen raised about the level of sophistication of the VAAC models used since much ash micro-physical and chemical evolution processes are typically not present in VAAC models. The development of an accurate and timely forecasting model represents an important tool for Irish government and policy makers in order to respond quickly and efficiently to the impacts associated with volcanic ash emissions. A more accurate forecasting may also lessen the economic impact of such emissions.’ School Institute Name to go here
  • 8.
    Model description Three-dimensional on-lineclimate chemistry/aerosol model called REMOTE (Regional Model with Tracer Extension) Model Specifications •81x 91x19 vertical grid boxes •0.5 grid resolution (approx. 50 km2) •6 h input and 3 h output resolution. •Ash size distribution is constrained by the model to a lognormal Model Domain distribution PM10 emission rate data used for the simulations described here have been taken from the European Monitoring and Evaluation Programme (EMEP, 2011) estimations. These data were originally based on tephra estimates derived from preliminary thickness data obtained which was measured on the 17th April at two locations 20 and 50 km east of the volcano. School Institute Name to go here
  • 9.
    Model Outputs Low resolution mobile standard spatial plot Vertical profile device version School Institute Name to go here
  • 10.
    Model Automation School Institute Name to go here
  • 11.
    Verification- remote sensingand in-situ measurements LIDAR (Light Detection And Ranging) is an optical remote sensing technology that measures properties of scattered light to find range and/or other information of a distant target. Plume entered the boundary layer at 22 UTC 19 April 2010, SO4 increased from 23 UTC. Ground measurements with HR-ToF AMS School Institute Name to go here
  • 12.
    Model performance? School Institute Name to go here
  • 13.
    20 year climatologystudy – (1990 – 2010) Changing meteorological patterns and increased rates of deposition over the winter period. •Number of total column execeedances for each of the prescribed regulatory ash limits. •Seasonal changes in ash height profiles and its associated relationship to exceedance of internationally recognised flight levels. •Calculation and tabulation of regulatory exceedances at a number of airports. School Institute Name to go here
  • 14.
    Irish response Irish AviationAuthority (IAA) MACCII project - Europe's Global Monitoring for Environment and Security initiative 4-node (North-South-East- West) ash detection network covering the primary pollution entry directions around Irish airspace and airports. Ireland is ideally positioned to develop, test and implement a ground- based remote-sensing ash detection pilot network due to its proximity to major Icelandic volcanic sources School Institute Name to go here
  • 15.
    Volcanic Ash Strategic-initiativeTeam (VAST) (funded by ESA) Norwegian Institute for Air Research (NILU), Norway Finnish Meteorological Institute (FMI), Finland National University of Ireland Galway (NUIG), Ireland ZentralAnstalt für Meteorolgie und Geodynamik (ZAMG), Austria S&TCorp AS, Norway To investigate satellite retrievals for volcanic ash To evaluate and improve ash dispersion To integrate Earth Observation Data and Models To develop and introduce a volcanic ash prediction system School Institute Name to go here
  • 16.
    Satellite retrieval They can be divided into two main types: low-earth orbiting satellites in polar configurations that provide global coverage with rather limited temporal coverage (typically twice per day) and good spatial resolution (~1 km2), and geosynchronous satellites that provide very good temporal coverage (up to 96 per day for some instruments) but limited spatial coverage (70° total field of view) and lower spatial resolution (typically 10 km2). For the aviation problem, the geosynchronous satellites are much better suited because the need for high temporal resolution outweighs the need for high spatial resolution. School Institute Name to go here
  • 17.
    NUIG component • Validation of eruption source Information • Evaluate specific source term models The efficacy of utilising a one-dimensional volcanic plume model such as PLUMERIA which incorporates inputs as vent temperature, radius and velocity, and the effects of water/ice phase changes will be investigated. PLUMERIA outputs graphs of velocity (from which eruption height is apparent), log density, plume radius, temperature, and water/ice mass fraction as functions of elevation and these values can be used to constrain the source term. This approach will then be evaluated against more typical used empirical considerations of the source term which may be subject to a high degree of uncertainty • Validation of satellite retrievals • Validation of modelling results • Development of a certification process of ash products School Institute Name to go here
  • 18.
    Summary An automatedvolcanic ash dispersion model was developed and verified using both in situ and remote sensing techniques. Further work has being instigated in order to better characterise ash by improved modelling techniques and more in situ measurements. School Institute Name to go here
  • 19.
    Acknowledgements Colin O’Dowd, Harald Berresheim Remote sensing In- situ measurements Modelling Giovanni Martucci Darius Ceburnis Liz Coleman Tomas Grigas Jurgita Ovadnevaite Saji Varghese Jakub Bialek Robert Flanagan Ciaran Monaghan Damien Martin Aditya Vaishya ICHEC (Alistair McKinstry) and the EPA for funding this work School Institute Name to go here

Editor's Notes

  • #10 Factor of 2 agreement with LIDAR retrievals