|
General questions regarding the
specifications of the
simulations and external forcings can be directed to Veronika Eyring.
Please directly contact the appropriate scientists for questions
regarding
specific data sets (see below).
Before downloading
forcing files from this website, please fill out a brief
questionnaire for documentation purposes. Please
electronically return this form to Veronika Eyring. You will receive
the access data for downloads from this website per email. (A)
SPARC Newsletter Summary of the new CCMVal reference and sensitivity
simulations |
Eyring, V., M. P. Chipperfield, M. A. Giorgetta, D. E. Kinnison, E.
Manzini, K.
Matthes, P. A. Newman, S. Pawson, T. G. Shepherd, and D. W. Waugh
(2008), Overview
of the New CCMVal Reference and Sensitivity Simulations in Support of
Upcoming
Ozone and Climate Assessments and the Planned SPARC CCMVal, SPARC
Newsletter No. 30, in press.
B1.
Greenhouse Gases (CO2, CH4, N2O) in
REF-B1
Greenhouse Gases (N2O,
CH4, and CO2)
from 1950 and 2006. The
file gives
surface volume mixing ratios of CH4 (ppbv), N2O (ppbv) and CO2 (ppmv) from IPCC
[2001]. CH4 has been altered starting on 2002.49 using data from the
NOAA
Cooperative Global Air Samling Netwook to account for the observed
lower growth
rates of CH4 in recent years.
DOWNLOAD
---> Monthly
mean data set (1850 - 2006)
(Contact for questions: Doug Kinnison)
B2.
Halogens
in REF-B1
Surface
mixing ratios of Ozone Depleting Substances (CFC-11, CFC-12, CFC-113,
CFC-114, CFC-115, CCl4, CH3CCl3, HCFC-22, HCFC-141b, HCFC-142b,
Halon1211,
Halon1202, Halon1301, and Halon2402) in REF-B1 are taken from Table 8-5
of WMO
[2007]. The mixing ratios are calculated by a box model using yearly
emissions
and are given for the middle of the month. The time series does not
contain a
yearly variation in mixing ratios. Through 2004 the values are as much
as
possible forced to equal global estimates calculated from observations
(for
details see Chapter 8 of WMO [2007]). For models that do not
wish to
represent all the brominated and chlorinated species in Table 8-5 of WMO
[2007], the halogen content of species that are considered should be
adjusted
such that model inputs for total chlorine and total bromine match the
time
series of total chlorine and bromine given in this table.
DOWNLOAD
---> Monthly
mean data set (1951 to 2100) based on WMO (2007), Table 8-5
(Contact for questions: Guus J. M. Velders)
B3.
Sea
Surface Temperatures and Sea Ice Concentrations in REF-B1
Sea surface temperatures
and sea ice concentrations in REF-B1
are prescribed as monthly mean boundary
conditions following
the global sea ice
concentration and sea surface temperature (HadISST1) data set provided
by the
UK Met Office Hadley Centre [Rayner et al., 2003]. This data set
is
based on blended satellite and in situ observations. To prepare the
data for
use in forcing a model, and in particular to correct for the loss of
variance
due to time-interpolation of monthly mean data, it is recommended that
each
group follows the procedures described on the C20C project web (see http://grads.iges.org/c20c/c20c_forcing/karling_instruct.html).
This describes how to apply the AMIP II variance correction method (see
http://www-pcmdi.llnl.gov/projects/amip/AMIP2EXPDSN/BCS/amip2bcs.php
for details) to the HadISST1 data.
DOWNLOAD Hadley Centre Sea Ice
and SST data set (HadISST) --->
http://www.hadobs.org/: Follow the
link "Marine Data"
and "HadISST -
Globally
complete sea-ice and sea-surface temperature".
B4.
Solar
Cycle in REF-B1
Solar
Irradiance Data for the
REF-B1 simulations are specified at the SOLARIS
website:
To
account for the highly variable and wavelength-dependent changes in
solar
irradiance, daily spectrally resolved solar irradiance data from 1 Jan
1950 to
31 Dec 2006 (in W/m2/nm) are provided. The data are derived
with the
method described in Lean et al. [2005] and are available with the
following
spectral resolution: 1 nm bins from 0 to 750 nm; 5 nm bins from 750 to
5000 nm;
10 nm bins from 5000 to 10000 nm; 50 nm bins from 10000 to 100000 nm.
Each
modeling group is required to integrate these data over the individual
wavelength intervals (a) in their radiation scheme (to adjust the
shortwave
heating rates) and (b) in their chemistry scheme (to adjust the
photolysis
rates). It is recommended to use the provided solar flux data directly
(integrated
over the respective intervals in the radiation and chemistry schemes),
rather
than a parameterization with the F10.7 cm radio flux previously used.
Additional
information as well as the data can be
found on the SOLARIS website.
GO TO ---> SOLARIS
website to download the data
(Contact for questions: Katja
Matthes)
B5.
Assimilated
Quasi-Biennial Oscillation (QBO) in REF-B1
The
QBO is generally described by zonal wind profiles measured at the
equator. The QBO is an internal mode of variability of the atmosphere
that
dominates the interannual variability in wind in the tropical
stratosphere and
contributes to the variability in the extratropical dynamics. It is
recognized
that the QBO is important for understanding interannual variability in
ozone
and other constituents of the middle atmosphere, in the tropics and
extratropics. Currently only a few atmospheric GCMs or CCMs simulate a
realistic QBO and hence QBO related influences. Simulated QBOs are
generally
independent of observed time series because their phase evolutions are
not
bound by external boundary conditions. Realistic simulated QBOs,
however, have
similar periods, amplitudes and composite structures in observations.
The
assimilation of the QBO, for example by a relaxation of zonal winds in
the QBO
domain ("nudging"), hence may be useful for two reasons: First to
obtain a QBO in GCMs that do not simulate the QBO internally, so that
for
example QBO effects on the general circulation are present; and second
to
synchronize the QBO simulated in a GCM with a given QBO time series, so
that
simulated QBO effects, for example on ozone, can be compared to
observed
signals.
GO TO ---> QBO
website to download the data
(Contact for questions: Marco Giorgetta)
B6.
Surface Sulphate
Area
Densities (SADs) in REF-B1
Surface Sulphate Area
Densitites (SADs) from observations are considered in
REF-B1. A
monthly zonal mean time series
for SADs from 1979 to 2004 was created using data from the SAGE I, SAGE
II, SAM
II, and SME instruments (units square microns per cubic centimeter).
This time
series was published in SPARC [2006]. In addition, uncertainties of the
SAGE II
data set are described in detail in Thomason et al. [2007]. The
altitude
and latitude range of this data set is 12 - 40 km and 80°S –
80°N
respectively. The SPARC SAD data set does have data gaps, which occur
mainly in
lower tropical altitudes (below 16 km) and during the El Chichón
period. Above
26 km there are large data gaps in the mid-to-high latitude region.
There are
also missing data at all altitudes in the high latitude polar regions.
The NCAR
group modified this new SPARC SAD data set for CCM applications by
filling the
missing data using a linear interpolation approach in altitude and
latitude.
Large gaps of data above 26 km were filled with background values of
0.01
square microns per cubic centimeter. The gaps in the upper troposphere,
tropical latitudes, between 1982 and 1984 were not filled. Missing
values are
indicated with values lower and equal 0.
For
the period between 1950-1962, 1968-1979, and
2005-2100, monthly means of a five-year period 1998 to 2002 with
background
aerosols were adopted. Further, the Agung eruption in 1963 was
implemented (by
Andrea Stenke). As a remedy we follow the method described in
Dameris et al.
[2005]. The well documented years following the eruption of
DOWNLOAD ---> SAD
data set 1950 to 2100 (14.6 MB)
(Contact for questions: Simone
Tilmes and Doug
Kinnison)
B7.
Heating rates
from
volcanic aerosol in REF-B1
Stratospheric warming and
tropospheric-surface cooling due to volcanic eruptions are either calculated
on line by using aerosol data or by prescribing heating rates and
surface
forcing. For those models that don’t calculate this effect online,
pre-calculated zonal mean aerosol heating rates (K/day) and net surface
radiative forcing (W/m2) monthly means from January 1950 to
December
1999 for all-sky condition are available on the CCMVal website. They
were
calculated using volcanic aerosol parameters from Sato et al.
[1993], Hansen
et al. [2002] and GISS ModelE radiative routines and climatology [Schmidt
et al., 2006; G. Stenchikov and L. Oman, pers.
communication,
2007]. In addition to the larger eruption (Agung, 1963; El
Chichón, 1982;
Pinatubo, 1991) smaller ones like Fernandina (1968 in Galapagos) and
Fuego
(1974 in
DOWNLOAD
---> hrates_readascii.f,
hrates.ascii,
sfc_forcing.ascii
(Contact for questions: Gera Stenchikov)
B8.
Ozone
and Aerosol Precursors in REF-B1
Emissions
of ozone and aerosol precursors (CO, NMVOC, NOx and
SO2) are averaged over the years 1998 to 2000 and are taken
from an
extended data set of the REanalysis of the TROpospheric chemical
composition
(RETRO) project [Schultz et al., 2007, see http://retro.enes.org]. The RETRO
emissions
inventory is a comprehensive global gridded data set for anthropogenic
and
wildfire emissions over the past 40 years. The data set comprises a
high level
of detail in the speciation of NMVOC compounds. The data originates
from a
large variety of sources, including the TNO TEAM inventory, information
on
burnt area statistics, the regional fire model Reg-FIRM, and satellite
data. In
case of SO2, RETRO only provides biomass burning related
emissions.
Therefore, this data is combined with an interpolated version of
EDGAR-HYDE 1.3
[Van Aardenne et al., 2001] and EDGAR 32FT2000 [Olivier et al.,
2005; Van Aardenne et al., 2005]. For the spin-up period from
1950 to
1959 we recommend using the 1960 values from this data set. The data
set will
be extended through 2006 by using trend estimates and will be harmonized
so that regional totals are the same as in RETRO for the year 2000.
GO TO
---> Ozone
and aerosol precursor website to download the data
(Contact for questions: Andreas Baumgärnter)
B9.
Other
issues
Impact of new HCFCs (141B,
142B)
e.g.
instead of including HCFCs explicitly, we could use MCF, HCFC22 and
CH3Cl as
"surrogates", as follows:
MCF --> MCF + 2/3 * HCFC141B
HCFC22 --> HCFC22 + 1.0 * HCFC142B
This approach was used in the WMO1998 2D model assessment. These
surrogates
have similar tropospheric and stratospheric lifetimes as the omitted
HCFCs.
C1. Greenhouse
Gases
(CO2, CH4, N2O) in REF-B2
Greenhouse
Gas concentrations (N2O, CH4, and CO2)
are
taken from the IPCC [2000] ‘A1B’ scenario, to provide continuity
with Eyring et al. [2007].
DOWNLOAD
---> Monthly
mean data set (1850 to 2100)
Contact for questions: Doug Kinnison)
C2.
Halogens
in REF-B2
Surface mixing ratios
of Ozone Depleting Substances are based on the halogen scenario A1 from
WMO [2007]. However, at
the 2007 Meeting of the Parties to the Montreal Protocol, the Parties
agreed to
an earlier phase out of HCFCs, with nearly a full phase out by Article
5
countries in 2030 (http://ozone.unep.org/Meeting_Documents/mop/19mop/Adjustments_on_HCFCs.pdf).
The current scenario A1 does not include this phase out. Hence, a new
scenario
has been developed that includes this phase out (hereafter referred to
as
adjusted scenario A1). The adjusted scenario A1 will only have HCFCs
adjusted;
distributions of CFCs, Halons, and other non-HCFC species remain
identical to the
original scenario A1. The adjusted scenario A1 can be downloaded from
the
CCMVal website.
DOWNLOAD
---> Monthly
mean data set (1951 to 2100)
(Contact for questions: Guus J. M. Velders)
C3.
Sea
Surface Temperatures and Sea Ice Concentrations in REF-B2
Sea surface temperatures and sea ice
concentrations in REF-B2. One of the most critical
issues is the design of the future simulation REF-B2. Discrepancies
between
observed and simulated SST and SICs complicate the selection of these
fields
for runs that span the past and the future. Because of potential
discontinuities between the observed and modeled data record, the
REF-B2
runs use
simulated SSTs and SICs for the entire period. There are three
alternate
approaches, depending on the resources of each modeling group. First,
groups
that have fully coupled atmosphere-ocean models with coupled chemistry
and a
middle atmosphere should perform a fully coupled run that calculates
the
SSTs/SICs internally. Due to the inertia of the coupled atmosphere
ocean
system, such integrations should be started from equilibrated control
simulations for preindustrial conditions, as it is standard for the 20th
century integrations for IPCC. Second, groups that have a coupled
atmosphere-ocean model that does not include chemistry should use their
own
modeled SSTs/SICs for 1960-2100 in their CCM run. Third, groups that do
not
have their own coupled ocean-atmosphere model should use SSTs/SICs from
an
A1B-scenario IPCC AR-4 simulation, for example from CCSM3 [Collins
et al.,
2007]. The SSTs from HADGEM1 used in the first CCMVal REF-B2 simulation
have a
cold bias with respect to observations [see Figure 3 of Johns et al.,
2006], whereas the tropical SSTs from the CCSM3 are in better agreement
with
observations [Large and Danabasoglu, 2006]. Oldenborgh et
al. [2005]
present a multi-model study of the representation of El Nino in IPCC
AR4
models.
DOWNLOAD
---> SSTs
and SICs from an A1B scenario WCRP CMIP3 simulation,
see data portal for multi-model
output at
PCMDI.
C4.
Solar
Cycle in REF-B2 and SCN-B2d
For REF-B2:
Solar variability is not
included in the
reference simulation REF 2. We recommend to use average solar flux for
the
entire REF-B2 period.
For SCN-B2d:
Solar variability is
included in SCN-B2d.
Solar
Irradiance Data for
SCN-B2d are specified at the SOLARIS
website:
SCN-B2d is defined similar to REF-B1,
with the inclusion of solar variability, volcanic activity, and the QBO
in the
past. Future forcings include a repeating solar cycle and QBO, under
volcanically clean aerosol conditions. SSTs/SICs are simulated or
prescribed as
in REF-B2. GHGs and halogens will be the same as in REF-B2. We recommend using a repeating solar
cycle based on the
observed daily spectra described in Lean et al. [2005]. It is
proposed
to repeat the solar cycles 20 to 23 (1962-2004) and therefore neglect
the
extreme solar cycle 19 (peaking in 1957/58).
GO TO ---> SOLARIS
website to download the data
(Contact for questions: Katja
Matthes)
C5.
Assimilated
Quasi-Biennial Oscillation (QBO) in REF-B2 and SCN-B2d
For
REF-B2:
The QBO is not included
in reference
simulation REF 2 (neither in the past, nor in the future).
For SCN-B2d:
C6 and C7. Volcanic
Eruptions and
aerosol
loading in REF-B2 and SCN-B2d
For
REF-B2:
Volcanic eruptions are
not included in the
reference simulation REF 2.
For aerosol loading, please
use 2000 values
from the SPARC SAD datase, specified under B6.
For SCN-B2d:
Heating rates and SADs same
as in REF-B1 until
2000, use background aerosol (year 2000) from the SPARC SAD dataset in the future, see B6.
C8. Ozone and
Aerosol Precursors in REF-B2 and SCN-B2d
Ozone
and aerosol precursors in REF-B2
should be similar to REF-B1 until 2000 (extended RETRO data set, see B8.
Ozone
and Aerosol Precursors in REF-B1),
and use the adjusted B2 baseline IIASA scenario through 2100 [M. Amann
and P. Rafai,
pers. communication, 2007]. This data set is available from the IIASA
website
at http://www.iiasa.ac.at/Research/GGI/DB/.
Please note that the adjusted B2 IIASA scenario needs to be harmonized
with the
extended RETRO data set in 2000 in order to allow a smooth transition
from past
to future. For surface
emissions of NOx, CO and HCHO and for aircraft
emissions of NOx this has been done by
Olaf Morgenstern.
GO TO
---> Surface and aircraft emission files
website to download the data
(Contact for questions: Olaf
Morgenstern)
Ozone and aerosol precursors in SCN-B2a: SCN-B2a is designed to be
consistent with one of the new coordinated Climate Change Stabilization
Experiments proposed for AOGCMs and ESMs [Meehl et al., 2007].
Emissions of all necessary chemical compounds
will be provided, including ozone and aerosol precursors as well as
primary
aerosols and ozone-depleting substances. An international effort is
currently
in progress to complete this task. In particular, future emissions
(2010-2300)
will be generated by the Integrated Assessment Models (IAMs)
responsible for
the “representative concentration pathways” RCPs. In order to ensure continuity
of emissions across 2000, the 2000 emissions are being used to
harmonize
emissions into the future and from the historical perspective as
well.
Emissions (at 0.5 degrees, available every 10
years over 1850-2300) are expected to be available in the latter part
of 2008.
(D) Sensistivity runs in support of Chapter 3 of WMO 2010, see data request here |
D1. Greenhouse
Gases
(CO2, CH4, N2O) in the
sensitivity simulations
Greenhouse
Gas concentrations (N2O, CH4, and CO2)
are
taken from the IPCC [2000] SRES scenarios.
DOWNLOAD
---> Monthly
mean data set (1850 to 2100) for SRES B1
DOWNLOAD
---> Monthly
mean data set (1850 to 2100) for SRES B2
DOWNLOAD
---> Monthly
mean data set (1850 to 2100) for SRES A2
Contact for questions: Doug Kinnison)
Alternatively, the new IPCC Representative Concentration Pathways
(RCPs) are used in the sensitivity simulations (see CMIP5 website here). They require a change
to a fully new set of emissions and thus mean more work. In addition
consistent SSTs and SICs for the RCP simulation are not yet available,
which means a delay in the start of the run. For all SRES scenarios,
GHG scenario consistent SSTs and SICs can be taken from the WCRP CMIP3
archive from the same AOGCM (see data portal for multi-model output at
PCMDI at http://www-pcmdi.llnl.gov/).
The SCN-B2-RCP2.6(8.5) simulations have the advantage that they are
consistent with the new IPCC RCPs, whereas the SRES based SCN-B2a runs
are easier to implement and can be started right now since SSTs/SICs
are available. It will depend on the priority of the group whether they
run an SRES or RCP based GHG sensitivity simulation. SRES and RCP
simulations are equally valuable to assess the sensitivity of ozone
recovery to GHGs.
D2.
Halogens
in the 'World Avoided' simulations (SCN-B2f)
DOWNLOAD
---> Monthly
mean data set (1951 to 2100)
(Contact for questions: Paul Newman and Guus J. M. Velders)
Last
modified: August 17, 2009 |
|