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Influence of the sun variability and other natural and anthropogenic forcings on the climate with a global climate chemistry model. Martin Schraner Polyproject meeting 26. October 2004. Overview. Model simulations Preparations / Modifications of the model Results Outlook. Aim.
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Influence of the sun variability and other natural and anthropogenic forcings on the climate with a global climate chemistry model Martin Schraner Polyproject meeting 26. October 2004
Overview • Model simulations • Preparations / Modifications of the model • Results • Outlook Martin Schraner
Aim • Analysis of the influence of different forcing mechanisms (greenhouse gases, ODS, volcanoes, sun and QBO) on ozone, temperature and dynamics during 1975-2000 with transient model simulations Martin Schraner
SOCOL model (=Solar-Climate-Ozone Links) • General circulation model MAECHAM4 coupled to chemistry-transport model MEZON • Spectral model with T30 horizontal truncation • 39 levels, from surface to 0.01 hPa • Time step for dynamics and physics: 15 min; for radiation and chemistry: 2 hours • Simulation of 41 chemical species • Reactions: 118 gas-phase, 33 photolysis and 16 heterogeneous reactions on/in sulfate aerosol • Coupling between chemistry and GCM by ozone and water vapor Martin Schraner
Simulations Transient simulations with SOCOL for 1975-2000: • CONTROL: Control Run with constant, prescribed greenhouse gases and ODS concentrations of 1975 and a mean solar constant • GG: As 1., but with annually increasing greenhouse gases (CO2, CH4, N2O) • ODS: As 1., but with varying ODS • GG+ODS: As 1., but with changing greenhouse gases and varying ODS • GG+ODS+AER: As 4., but with volcanic aerosols • GG+ODS+AER+SOL: As 5., but with varying solar forcings (varying solar constant (-> radiation), varying photolysis rates) • GG+ODS+AER+SOL+QBO: As 6., but with nudged QBO In all simulations, continuously changing SST and SI (sea ice) are prescribed. Various ensembles of experiment 7. will be calculated. Martin Schraner
Modifications of SOCOL (1):Introduction of QBO • Model cannot simulate QBO by itself (vertical resolution not fine enough), but it can be nudged • QBO nudging by Marco Giorgetta adapted to ECHAM4 and introduced into the model Martin Schraner
0.1 0.1 0.1 1 1 1 Pressure [hPa] Pressure [hPa] Pressure [hPa] 10 10 100 100 100 1000 1000 1000 Time series of mean zonal wind over equator 1976-1980 SOCOL without QBO SOCOL with QBO Observations (Canton Island, Gan/ Maledives, Singapore) 10 1976 1977 1978 1979 Martin Schraner
Modifications of SOCOL (2):Extending the coupling of radiation code with chemistry module • Before: coupling of chemistry model with radiation module only for H2O and O3 • Now: coupling also for CH4, N2O and CFCs -> 3d-concentrations calculated in the chemistry module at every time step are used in radiation part (instead of global constant concentrations) Martin Schraner
Modifications of SOCOL (3):Introduction of volcanic aerosols and solar variability • Introduction of monthly and annually changing stratospheric aerosol dataset GISS -> altitude, latitude, and time dependent stratospheric extinction coefficients (radiation part) -> altitude, latitude, and time dependent stratospheric surface densities and thus variable heterogeneous reaction rates (hydrolysis of N2O5!) • Introduction of solar variability (combination of data from Margrit Habereiter with data from Lean) -> time dependent solar constant (radiation module) -> time dependent photolysis rates (chemistry model) Martin Schraner
Time series of total ozone averaged over 65N-65S Martin Schraner
Stratospheric aerosol extinction coefficient [1/km] (550 nm) for July 1991 – Dec 1991 SAGE 2 GISS / SAGE 2 GISS Jul 91 Aug 91 Sep 91 Oct 91 Nov 91 Dec 91 Martin Schraner
0.1 0.1 0.1 0.1 0.1 0.1 1 1 1 1 1 1 Pressure [hPa] Pressure [hPa] Pressure [hPa] Pressure [hPa] Pressure [hPa] Pressure [hPa] 10 10 10 10 10 10 100 100 100 100 100 100 1000 1000 1000 1000 1000 1000 Ozone and temperature trend(trend over 1980-1997 per decade) CONTROL GG 1 GG 2 ODS GG+ODS OBSERV Latitude Latitude Martin Schraner
0.1 0.1 0.1 0.1 0.1 1 1 1 1 1 10 10 10 10 10 Pressure [hPa¨] Pressure [hPa¨] Pressure [hPa¨] Pressure [hPa¨] Pressure [hPa¨] 100 100 100 100 100 1000 1000 1000 1000 1000 Trend for water vapor for 1975-2000 CONTROL GG 1 GG 2 ODS GG+ODS Latitude Martin Schraner
Results • The obtained temperature and ozone trends for the run with changing greenhouse gases and changing ODS are closer to observations than the runs of experiment 1., 2. and 3. • The model captures well the formation of the ozone hole over the southern high-latitudes, the ozone depletion in the upper stratosphere, the stratospheric cooling and tropospheric warming. • The model simulates an increase of the stratospheric water mixing ratio of about 7%/decade in agreement with observations. • However, the model underestimates the magnitude of ozone trends in the lower stratosphere at high latitudes Martin Schraner
Outlook (1) • Introduction of new version of tropospheric aerosol data set (U. Lohmann) • Introduction of new version of SAGE 2 retrieval (stratospheric aerosol data) into the model, incl. climatology for years without volcanoes • Rerun of all simulations with updated model version (on the available PCs, all experiments can run together and take about 3 months) Martin Schraner
Outlook (2) • Analysis of simulations. Focus on the following questions: • Does the model reproduce the observed trends in stratospheric ozone, temperature, and water vapor? • Reasons for the increase of modelled water vapor. How does (dT/dt)cold point tropopauselook like? • GG reduce ozone destruction. This is understandable for the upper stratosphere (cooling by GG slows down ozone destroying reactions), but unclear for lower stratosphere (smaller ozone hole). Major warming? Dynamical effects? • Influence of GG and ODS on stratospheric temperature: ≈1:1 at the stratopause and ≈2:1 in the lower stratosphere. More exactly quantification. Can the total temperature change be linearly combined from the single components? Martin Schraner