interannual variations in global oh radicals over the period 1987-2005 in geos-chem, and preliminary...
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Interannual variations in global OH radicals over the period 1987-2005 in GEOS-Chem,
and preliminary comparisons to other models
I. Bey1, S. Koumoutsaris1, S. Generoso1,J. Drevet1, A. Fiore2, T. van Noije3, S. Rast4, M. Schultz5, and S. Szopa6
Contact: [email protected], http://lmca.epfl.ch
1EPFL, 2GFDL, 3KNMI, 4MPI-Met, 5FZ Jüelich, 6IPSL Paris
GEOS-Chem simulation set up
•GEOS-Chem 3D Chemical-Transport Model Version 7.02.04 – Meteorological fields from NASA GMAO GEOS-4 – 4°x5°, 30 levels (from surface to 0.01 hPa) – 24 tracers for tropospheric O3-NOx-HC chemistry
•Interannual variation of input parameters– Biomass burning emissions
IAV prescribed using TOMS AI (1987-07/1996) [Duncan et al., 2003] andAATSR (08/1996-12/2005) [Generoso et al., 2003]
– Anthropogenic emissionsFossil fuel emissions based on climatological inventories scaled using
CO2 trends (-> 1998) and change in aircraft emissions (+3%/yr with a base year in 1992) – Methane concentrations
Prescribed using CH4 CMDL data (latitudinal bands) up to 2004
– Total O3 column
Prescribed TOMS satellite data up to 2002 (Nimbus 7, Meteor 3, Eptoms and climatology when data are missing, e.g. 1995)
CO anomalies (ppb)
Barrow, Alaska 71°N - 20m Mauna Loa, Hawaii 19°N - 3397m
Niwot Ridge, Colorado 40°N - 3475m Alert, Canada 82°N - 210m
Mace Head, Ireland 53°N - 25m Tutor Hill, Bermuda 32°N - 30m
1987 1990 1995 2000 2005 1987 1990 1995 2000 2005
Observations — monthly mean • 12-month running meanModel — monthly mean • 12-month running mean
Mauna Loa, Pacific 19°N - 3397m
Mace Head, Ireland 53°N - 15m
O3 anomalies (ppb)
Observations — monthly mean • 12-month running meanModel — monthly mean • 12-month running mean
Stratospheric contribution • 12-month running mean
Jungfraujoch, Switzerland 46°N - 3578m
See also Ordóñez et al., GRL, 2007: Changes in trop O3 driven by changes in O3 in the lowermost stratosphere (due to changes in dynamics)
Interannual variability in global mean OH in GEOS-Chem
OH global air mass weighted mean (1e5 molec. cm-3)
Annual anomalies (1e4 molec. cm-3)
=> Implications for CH4 trends
Extra tropics NH Tropics NH Tropics SH Extra tropics SH
Column(surface-250 hPa)
Surface-750 hPa
750-500 hPa
500-250 hPa
Interannual variability in OH in different regions (1e4 molec. cm-3)
Parameters contributing to OH interannual variability
standard – simulation with fixed anthropogenic emissionsstandard – simulation with fixed meteorology (1988 recycled)standard – simulation with fixed lightning emissions standard – simulation with fixed TOMS columnstandard – simulation with fixed methane concentrationsstandard – simulation with fixed biomass burning emissions
OH
(1
e5 m
ole
c cm
-3)
OH
(1
e5 m
ole
c cm
-3)
Interannual variability in J(O1D)
Standard simulationSimulation with a fixed total ozone column
J(O
1D
) (s
-1)
J(O
1D
) (s
-1)
Interannual variability in global P(OH)= J(O1D) × kH2O[H2O]/ kX[X](s-1)
Standard simulationSimulation with a fixed total ozone column
J(O
1D
) ×
kH
2O[H
2O
]/
kX[X
] (s
-1)
Interannual variability in water vapourQ
(g k
g-1)
Q (
g k
g-1)
Trenberth et al., Trends and variability in column-integrated atmospheric water vapor, Climate Dynamics, 2005: “Precipitable water variability for 1988–2001 is dominated by the evolution of ENSO and especially the structures that occurred during and following the 1997–98 El Niño event. … but … Users of these data (ECMWF ERA-40, NCEP, etc.) should take great care in accepting results as real. ”
Available observations during the reanalysis
SSM/I data TOVS data
Total precipitable water and surface winds
No data before 1987
Temperature, moisture, …
TOVS (HIRS, MSU, SSU) to ATOVS (HIRS-2, AMSU) in 1998
Courtesy: Steven Pawlson
=> Impact of the various observations used in the re-analysis on the water vapor variability & trends?
Variability in OH in GEOS-Chem compared to other models
GEOS-Chem (GEOS-4, CTM)TM4 (CTM, ECMWF, RETRO emissions, T. van Noije)MOZECH (GCM, ECMWF, RETRO emissions, S. Rast & M. Schultz)LMDzINCA (GCM, ECMWF, RETRO em., S. Szopa & D. Hauglustaine)
OH
anom
aly
(1
e4
mole
c cm
-3)
Variability in OH in GEOS-Chem compared other models (no change in anthropogenic emissions)
GEOS-Chem (GEOS-4)MOZART-2 (CTM, NCEP, A. Fiore)
OH
anom
aly
1e4
mole
c cm
-3)
Variability in water vapor in GEOS-Chem & other models
GEOS-Chem (CTM, GEOS-4) MOZECH (GCM, ECMWF)TM4 (CTM, ECMWF) LMDzINCA (GCM, ECMWF)
Q (
kg k
g-1)
Q (
kg k
g-1)
Conclusions
• GEOS-Chem has some success in reproducing the CO anomalies over the 1987-2005 period.
• GEOS-Chem has some success in reproducing the O3 anomalies over the 1987-2005 period, but not in regions influenced by a too large interannual variability in stratospheric-tropospheric exchange.
• Global air mass weighted mean OH shows some rather large interannual variability (with implications for the methane and CO variability and trends).
• Interannual variability in global air mass weighted mean OH are mainly driven by changes in NOx emissions (anthropogenic and lightning) and changes in water vapor.
• Different models indicate very different OH interannual variability over the period 1987-2000. This is probably associated to the simulated changes in water vapor and in lightning emissions. => An issue to be further investigated.