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Report - NCAS Atmospheric Science Conference, Manchester, UK,
5-7 July 2010
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HMEI Poster Display at NCAS
with C. Charstone in attendance |
The HMEI Secretariat, B. Sumner and C. Charstone, attended this
meeting with the aim of
expanding the HMEI contacts with scientists, experts
and manufacturers into specialised areas of the industry beyond its
current range.
C. Charstone prepared and presented a poster informing participants of
the work of HMEI. The Secretariat also prepared the following report on
the meeting, which focuses on items the HMEI
Secretariat believes to be of the most interest for HMEI Members and
is not intended to be definitive.
OPENING
Professor Stephen Mobbs, the Leeds Director of the National
Centre for Atmospheric Science (NCAS), opened the meeting after a buffet lunch
hosted by NCAS and welcomed the attendees.
Plenary Session 1 -
JOINT SESSION WITH NATIONAL CENTRE FOR EARTH OBSERVATION
Viewing
Atmospheric Moist Processes from Space as a Test of Our
Understanding of the Planet's Hydrological Cycle -
Graeme Stephens - Colorado State University
This paper looked at:
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Observed problems in precipitation as
predicted by models and thus for modelling the coupled Earth
system, as the models are not near reality in rainfall
prediction.
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This has led to doubts about whether there is
something missing from the theory of how Cb Hot Towers
transport moisture in the atmosphere.
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There is a need to include better
observations in regard to frequency and intensity of
precipitation in the climate models to try and resolve this.
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There are significant biases in key Model
moist physics parameters.
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A-Train cloud profile sensors resolved data
can complement the current Hot Towers theory.
Remote
Sensing of Icelandic Ash Plume - Alan Vance - Met Office
As models can only be as good as
the data input this paper looked at the experience of the Met
Office of looking at the composition of the ash plume from the
recent volcanic eruption over Europe. In comparing the various
observations the Met Office used when looking at the plume, the
presentation noted:
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Ash retrievals
from IASI observations - this showed ash plume well,
distinguished from clouds.
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SO2 was also
shown in IAS1 observations.
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IASI gas
retrievals were compared against airborne LIDAR.
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This was a
comparison of IASI and ARIES (an airborne inferometer) with
LIDAR observations.
Conclusion:
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The composition
of a volcanic plume is complex. Thus no single component is
sufficient in observing and tracking a volcanic plume.
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LIDAR and
satellite observations are not sufficient alone.
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High resolution
sounders (such as IASI) are also necessary for the best
picture of the volcanic plume and its dissemination.
LIDAR measurements of
volcanic ash - Geraint Vaughan - NCAS, Manchester
The Capel Davis Raman LIDAR was predominantly used. The results
from observations in this instance were:
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Ash was found in
thin moist layers.
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There were much
higher LIDAR ratios than previously reported. Thus implying
the ash particles were not spherical.
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Dramatic
varying Optical Depth (OD).
Current Changes in
Tropical Precipitation - Richard Allan, Reading
(See document here)
It was noted that
models indicate that with the increase in Greenhouse Gases and
thus atmospheric warming 1) wet areas will get wetter and
2) dry areas will get dryer. However there is a stabilizing
effect of enhanced Greenhouse Gases.
The presentation
looked work done on the actual observations from 1979 to 2002
comparing to reanalysis of data into prediction models for that
period.
It was found that:
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In regard to
intensity of rainfall in atmospheric warming, there was not
good correlation between the models and the real
observational data.
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Extra Tropics and
wet regions of Tropic get wetter.
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Dry regions get
dryer.
Outstanding Issues
identified were:
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Inaccurate
simulation of precipitation events,
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Limits of
satellite and gauge data.
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Detecting and
attributing signals.
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Cloud feedback.
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Aerosol.
Tracer Correlations and
probability density functions as touchstones for CCM (Climate
Change Models) - Peter Braesicke, NCAS, Cambridge
The presentation looked at confronting models with actual
observations, which the authors considered essential to
improvements in models.
What can we learn about
clouds and their representation in models from the synergy of
radar and LIDAR observations? - Robin Hogan, Reading
(See
link to powerpoint presentation here)
Looking comparatively at data from space-borne radar,
Lidar and radiometers in the A-Train and
CERES and the
way the different methods can complement each other, this
presentation found that:
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Compared to
Radars, Lidar was more sensitive to thin and liquid clouds,
but attenuated.
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Synergized Radar
and Lidar data can create less bias in the data overall.
The resulting issues
are:
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Could retrievals
improve weather forecasts?
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Could be used to
improve climate models?
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If the answer to
these questions is yes, then:
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should derived cloud products (from
multi-modal satellite observations) be used in the model
assimilations?
or
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should the radar and Lidar observations be used directly?
Plenary session 2 -
CLIMATE & EARTH SCIENCE (part 1)
Engineering climate on a regional scale (why it can't be done) -
David Battisti, University
of Washington, USA
Geo-engineering schemes hope to
minimize, reduce or alter the effect of climate change by
changing the properties of our environment. Geo-engineering
methods either try to directly reduce the amount of carbon
dioxide in the atmosphere - known as carbon sequestration - or
they look to modify the earth's solar reflectivity cooling the
planet by increasing the amount of sunlight reflected back to
space.
Modelling Results:
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Modifying the
earth's solar reflectivity by an input of sulphate aerosols
into the stratosphere, is a method that has been verified as
effective by running model simulations.
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Results in
modelling for geo-engineering to the same temperature as now,
but with double CO2, shows there are still many problems,
some hotspots (i.e. +4 degrees centigrade) and some
depletion of sea-ice and ice thickness decreases.
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Changes in ocean
circulation has large impacts on engineered summer ice
thickness.
Problems:
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Uncertainty as to
how much aerosols should be added to the stratosphere?
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The response
for ocean change is ~ 100 years.
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The need to keep
deploying the geo-engineering..
Conclusion:
Geo-engineering is NOT the solution.
Transient simulations of
the last glacial cycle with an AOGCM - Robin Smith,
Reading
Looking at simulations from the Antarctic climate data
from ice cores this presentation noted:
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The problem is to
extrapolate the Antarctic climate record (~ 120,000 years)
to a full global climate model, which would explain the
Antarctic record.
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Need to know
which are the forcings are the most significant: solar
insolation, GHGs or ice sheet thickness?
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These were looked
at individually and in different combinations.
The conclusions did
not clarify that any one forcing was more important, rather it
seems to be a combination of all the forcings which are
significant together.
Self -aggregation in
idealized simulations of tropical simulations - Steve
Woolnough, NCAS, Reading
The presentation explained the self-aggregation process
and looked at trying to explain why the Cascade simulation shows
self aggregation occurring twice as fast as in the Bretherton
model.
A
Multi-model assessment of intercontinental source-receptor
relationships for ozone pollution in the 21st century -
Ruth Doherty, Edinburgh
(Abstract
of document available here)
The hypothesis on which this
experiment started was:
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assuming a 20%
emissions reduction in the 2090's, resulting in reduced
ozone amounts:
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in a source
region there is a slightly greater response of ozone
decrease than downwind of the source region.
Conclusions:
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Additional
emission controls needed, to maintain present day ozone air
quality standards in the future.
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A greater
effect of emission controls in the source region, but
lesser effect downwind due to reduced ozone and
ozone-precursor export.
Where should UK
climate science go from here? - John
Mitchell, Met Office, UK
Dr Mitchell acknowledged that there is still a lot
not known in climate science when looking into the future. As a
result the various models of future rises in CO2 have large
uncertainties between the various models.
He stressed that adaptation to climate change was necessary,
given the apparent inability of being able to reduce the rising
CO2 levels. Adaptation needed to be particularly based on the
changes predicted in precipitation. Models for the UK predict an
overall drop in precipitation in the summer.
Dr Mitchell noted that Geo-engineering was a very
complex idea about which not enough was known and to attempt to
change some regional problems by such means (for example cloud
seeding) would result in unexpected and probably negative
results in the surrounding areas.
In his concluding remarks Dr Mitchell noted amongst other things
:
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Resolution does
not solve all the problems.
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Satellite data -
radar and Lidar will give extra input to the models.
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Biochemical
factors introduce further uncertainties and these processes
are not well understood.
PLANETARY SESSION 3 - ATMOSPHERIC
COMPOSITION (part 1)
Atmospheric chemistry in
volcanic plume - Roland von Glasow, University of East Anglia,
UK
(See
document here)
This paper looked at simulations done with a model setup
is based on observations using MAX-DOAS (Multi Axis Differential
Optical Absorption Spectroscopy) from Mount Etna, Sicily.
Conclusions:
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Bromine in the
plume leads to considerable O3 (ozone) loss
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Bromine
concentration also leads to large Mercury depletion
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Large
uncertainties in results means there is a need for further
study.
PLANETARY SESSION 4
- Technology for observing and modeling the atmosphere (part
1)
The Facility for
Ground based Atmospheric Measurements (FGAM): highlights and
activities - James Hopkins, FGAM, York (See
document here)
This facility provides observations for NCAS . There are
seven observatories with links to the facility, listed below:
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The Cape Verde
Atmospheric Observatory (CVAO)
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The Capel Dewi
MST radar
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The Cardington
Field Site
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The Chilbolton
facility for Atmospheric and Radar Research (CFARR)
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The FAAM aircraft
as a long-term observatory
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The Salford Urban
Built Environmental Research Base site (SUBERB)
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The
Weybourne Atmospheric Observatory (WAO)
The FGAM provides the
observations for NCAS work in 4 areas:
Important for
each of the observation areas is the FGAM work on:
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Collaborations;
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Data Provision;
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Long term
studies; and
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Intercalibration
For further
information on FGAM, including their campaigns, please go to the
website at:
http://www.ncas.ac.uk/fgam/
Quality of atmospheric
water vapour measurements using instrumentation on board the
FAAM BAe-146 research aircraft - Debbie O'Sullivan, Met
Office , UK
Dr O'Sullivan has used
observations from the FAAM BAe146-301 research aircraft to study
the impact of aerosols on atmospheric radiation. These aircraft
measurements are compared with radiative transfer models to
assess the model's performance and achieve an improved
understanding of aerosols and their radiative impacts. In this
document Dr O'Sullivan outlined Future Plans for the FAMM
BAE-146 instrumentation for observations of atmospheric water
vapour for the Met Office Observation Based Research. Updates
will include: a more stable lamp to resolve impurities in
spectrum; introducing a second ly-α detector; improving the
ability to measure in more humid conditions, as well as dry; and
so forth.
More information about Observation Based Research at the Met
Office is available at:
http://www.metoffice.gov.uk/research/areas/observational-studies.
CEDA's
role in the Icelanic volcanic Ash cloud research
- Wendy Garland, BADC
CEDA can support rapid response
programs such as this one recently regarding the ash cloud in
Iceland. CEDA's volcano event
log mapping tool enabled researchers to find information and
data they needed rapidly and reliably. See:
http://cedaapp1.badc.rl.ac.uk/
The work of the BADC
can be seen at:
http://badc.nerc.ac.uk
Sources of Global cloud
condensation nuclei (CCN) and implications for climate -
Ken Carslaw, Leeds
The results from this study appear to indicate that there is no
particular difference between the pre industrial period
and present times in regard to sources of CCMs. Nucleation
happens as much from natural forces as from industrial effects.
The work in this paper demonstrated that 40% is from nucleation
and is 60% from primary emissions.
Whilst soot indeed
causes CCN, in regard to warming effects, the carbon black
component is offset by the remaining part of the soot content;
thus carbonaceous particles did not appear to cause warming.
Why is it so hard to
understand the causes of climate model bias and what can be done
to make progress? A case-study in seamless prediction -
Tim Palmer, (European Centre for Medium-range Weather Forecasts
(ECMWF)), Oxford
This presentation looked at the current problems with and causes
of uncertainty in predictions of climate models and diagnosing
the cause of climate model bias.
Conclusions:
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One way forward
is
to focus on short-range NWP tendencies, to discover causes
of uncertainty and model bias.
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Ensemble data
assimilation is seen as an important new methodology.
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In the
presentation conclusions it was stated that results
confirmed the importance of developing fully seamless
weather/climate prediction systems.
Conference closure
The conference closed at 14.30, Wednesday 7 July
2010.
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