Presentation given by Dr Sarah Sparrow on OeRC contributions to MetOFFICE CSSP LOTUS project. 6/9/16

1. 1990-2050 sulphur dioxide emissions data
from ECLIPSE v5a for use in Met Office
HadCM3 family GCMs
Sarah Sparrow · David Wallom · Karsten Haustein
Friedericke Otto · Zbigniew Klimont · Chris Heyes ·
William Ingram

2. Motivation
• SO2 emissions are a major source of
uncertainty for climate model studies.
• In CMIP5 data the contribution from
observational data ceases after 2005 and
10 year old projection data gives future
estimates.
Use more recent observations and projection scenarios from
the EC FP7 ECLIPSE v5a global emissions dataset:
• baseline current air quality legislation (CLE).
• climate mitigation (2 degrees) CLE.
• maximum feasible reduction (MFR) scenarios.
Enable use of this data in other climate models
• Met Office ancillary files
• NetCDF output files.

3. Procedure
The 5 yearly SO2 land estimates
from ECLIPSE have been
• combined with shipping data
• split into surface and high level
emissions
• rescaled to appropriate units
• converted to N96 resolution
• interpolated in time to give
monthly values
• converted to Met Office
ancillary file format.
Details can be found in:
Sparrow, S., Wallom, D., Klimont, Z.,
Heyes, C. and Ingram, W. (2016), 1990-
2050 sulphur dioxide emissions data from
ECLIPSE v5a for use in MetOffice HadCM3
family GCMs. Scientific Data, submitted.

4. Vertical Split
Solid lines - vertical split based on
standard Met Office assumptions i.e. high
level = 100% Energy and power plants +
50% Industry emissions
Dashed lines - vertical split improved by
allocating emissions from copper and
nickel smelting in Russia, Canada, Latin
America and the Caribbean to the high
level.

5. Baseline CLE
2009-2020
Baseline CLE – RCP4.5
2009-2020Surface SO2 Emissions
High Level SO2 Emissions
Comparison with RCP4.5

6. Attribution of SO2 emissions in Tmax
Indian and North East China Cooling
• Consistent with increased aerosol
• Occurs during SON when incoming SW
radiation is strong
Two 500-member ensembles for
Weather@Home South Asian region
• RCP4.5 SO2 emissions
• Baseline CLE SO2 emissions
Compare ensembles to see whether there is an
attributable signal in Tmax

7. Next Steps?
• ECLIPSE Data published for SO2 , NOx,
NH3, nmVOC, BC, OC, PM2.5, PM10, CO,
CH4
– Generate further ancillary files
beyond just SO2 and publish for usage
within the wider community?
– How do we productionise (i.e. make
collection of actual measurements
less of a heroic effort) the process for
the fast turn around necessary for the
global HAPPI activity with possibly
more than annual updates?
• Where would compliance checking for
global emissions fit within the
1.5Degree effort and would access to
that collected data be available?