1. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading The Pre-Industrial European Climate What were the dominant mechanisms? Lennart Bengtsson with Kevin Hodges ESSC, Reading and Erich Roeckner Renate Brokopf MPI, Hamburg

2. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading What do we know about European climate variations? In this study we will focus on surface temperature ( 2m above ground) This is probably the best observed part of the world. Several meteorological stations with daily records back to the middle of the 18th century A few observational records back to the 17th century. Documentary proxy evidence of incidental character ( e.g. Brazdil et al., 2005 with references) Sea ice data ( Baltic Sea and Iceland), Greenland ice core, tree ring evidence from Scandinavia etc. We have here used recent data sets compiled by Luterbacher (2005)

3. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading What are the processes leading to climate variations? Internal variations of the climate system ( Hasselmann, 1976, Manabe and Stouffer, 1996) Volcanic aerosols warming the stratosphere and cooling the troposphere Solar variations in addition to the 11-year cycle Anthropogenic influences (GHG and aerosols, land surface changes)

4. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading What do we know about the causes to European climate variations? Anthropogenic effects have increasingly influenced climate since the early 20th century, but presumably not so much before that time. Volcanic aerosols have influenced climate, but only for a few years at most Solar variability is still an open issue, no variations except the 11-year cycle according to recent summary of satellite records (Frölich, 2005) We know that climate varies due to internal processes such as ENSO.

5. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading

6. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Why have we done this study now? The latest model at MPI (ECHAM5/MPI-OM) have demonstrated features which we believe are important. These include: Realistic portraying of ENSO ( Oldenborgh et al., 2005) A good simulation of tropical intra-seasonal variability(Lin et al., 2005) Realistic simulation of extra-tropical and tropical storm tracks( Bengtsson et al., 2005) Long stable integration without the use of flux adjustment Relatively high resolution ( T63/L31) Recent compilation of satellite records indicate that there is no discernible trend in TSI (total solar irradiance) 1978-2005 ( Frolich, 2005) and that the empirical relation between sun spots and TSI is not any longer obvious. Consequently previously compiled data sets of long term variation in TSI and used by modelers could be put into question. Long-term TSI trend has been reassessed (2005) and significantly reduced.

7. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading TSI (1978-2005) After C Frolich (2005) ISSI, Bern

8. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Assessment of long-term variation in TSI Judith Lean ( PAGES News, Vol 13, No.3) “ stellar data has been reassessed, instrumental drifts are suspected in the aa-index, and it has been shown that the long-term trends in the aa- index and cosmogenic isotopes do not neccessarily imply equivalent long-term trends in solar irradiance ” In the latest synthesis by Wang, Lean and Sheeley, 2005 (Astrophys. J. 625, 522-538) has the amplitude in low frequency irradiation been reduced to 0.27x Lean 2000. This means a difference between the Maunder Minimum and the present TSI of only 0.5 Wper m2 ) or 0.09W effectively.

9. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Is it at all possible to reconstruct the evolution of the regional climate? Ensemble integrations with GCMs show generally large differences between individual members. Exceptions can be found in some regions in relation to ENSO events. ( but then ENSO must be known) The European region is under influence of Atlantic storm tracks which are only weakly constrained by external or remote forcing. Reconstruction of climate evolution is closely related to climate predictability ( of the 1st kind)

10. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading St. Petersburg prediction 10.1 2006 17th onward ca -30 C

11. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading 20 th Century (20C3M) 11/20 models have decadal signal PIcntrl (Control Runs) 10/20 models have decadal signal IPCC AR4 Arctic Temperature Anomalies by AOGCMs Courtesy, J Overland

12. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading The pre-industrial European climate 1500-1900. Some science issues What is the typical internal variability? How is the variability related to global variability? Over which periods can trends be observed? What are the characteristic features of extreme events? How are the storm tracks related to climate anomalies? What is the relation to NAO, PNA and ENSO?

13. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Reconstruction of climate from observations Upper air 1978 until present global 3D-reconstruction 1947 until 1978 global reconstruction feasible, but significant errors for SH and the tropics Surface only Late 19th century until present surface observations for a major part of the globe 19th century climate observations from selected regions 18th century small number of selected observations 17th century and earlier (essentially only indirect information)

14. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Reconstruction of climate from observations and proxy data Global, hemispheric, 1000-2000, annual resolution Mann et al, 1999 Jones and Mann, 2004 and references therein Europe (1500-2003, seasonal resolution) Luterbacher et al., 2004 Xoplaki et al., 2005 Luterbacher et al., 2005 ( this study)

15. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Luterbacher, Science 2004

16. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Luterbacher Science 2004

17. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Warmest and coldest season in Europe 1500-2003 Luterbacher et al(2004), Xoplaki et al (2005)

18. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading The Luterbacher (2005) data set compared to Luterbacher et al., (2004) Gridded data from Mitchell and Jones (2005) Additional instrumental predictors mainly from 18th and 19th century Additional proxies for the 1500-1650 period

19. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Observed winter (JJA) temperature for Europe 1500-2000 Luterbacher 2005 -5.7 -0.1 *

20. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Observed summer (JJA) temperature for Europe 1500-2000 Luterbacher 2005 +18.2 +15.6

21. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Global annual averaged temperature 500-year integration with ECHAM/MPI-OM Pre-industrial atmospheric composition. No variation in external or internal forcing +14.6 +13.7 Climate drift 0.027/cent.

22. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading The pre-industrial climate compared to the present ( 90- year mean ) Atmospheric composition CO2: 286.2 ppm ( now 382 ppm) ( 1960-1990 ~ 350 ppm) CH4: 805.6 ppb N2O: 276.7 ppb No CFCs Surface temperature effect: Global - 0.19 K European land area winter - 0.54 K European land area summer ~0

23. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Model simulation of el Nino/la Nina (NINO3 index) during 500 years

24. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Model simulation of the North Atlantic Oscillation (NAO) during 500 years

25. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading

26. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Storm tracks at high NAO ( >2 sd, left) and low NAO ( < 2 sd, right) Intensity and density (top)and generation (below)

27. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading 50-year trends >0.23 corresponds to 95% significance T P Z 850 Sea ice

28. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading 50-year sea-ice trend >0.23 corresponds to 95% significance **

29. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Model winter (DJF) temperature for Europe during 500 years - 7.5 +1.5

30. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Pre-industrial temperatures in Europe (DJF) Model results ( smaller numbers in right column are observed values prior to 1950 covering ca 200 years Mean TSTD TMinMax De Bilt+4.3 +2.0 1.4 1.8 -1.0 -3.1 +7.6 +5.3 Hamburg+1.41.8-5.0+5.6 Hohenpeissen b. -1.6 -1.4 1.8 1.9 -6.9 -6.1 +2.2 +2,8 Paris+3.8 + 3.3 1.4 1.6 -0.8 -1.6 +6.8 +6.6 Oxford+5.1(L)1.2(L)+0.1+8.0 Moscow-10.62.6-19.7-2.0 Uppsala-2.5 -4.0 1.7 2.3 -8.0 -9.9 +1.8 +1.4 St. Petersburg-8.5 -7.2 2.2 2.6 -15.7 -14.6 -1.5 -1.1 Warsaw-3.3 -2.8 2.2 2.3 -11.7 -9.2 +2.3 +1.4 Vienna-2.3 -0.5 1.9 1.8 - 8.5 -5.8 +2.1 +3.3

31. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Observed winter (JJA) temperature for Europe 1500-2000 Luterbacher 2005 * 1900 1500

32. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Model summer (JJA) temperature for Europe during 500 years 19.1 15.6

33. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Pre-industrial temperatures in Europe (JJA) Model results ( smaller numbers in right column are observed values prior to 1950 covering ca 200 years Mean TSTD TMinMax De Bilt+16.3 +16.2 0.7 0.9 +13.9 +13.1 +19.0 +18.7 Hamburg+15.60.8+13.2+18.5 Hohenpeissen b. +14.2 +14.1 1.0 +11.6 +11.4 +18.1 +17.2 Paris+17.1 +18.0 1.0 1.2 +14.1 +15.3 +20.5 +21.3 Oxford+16.1(L)0.8(L)+13.1+18.8 Moscow+16.01.1+13.2+19.2 Uppsala+13.7 +15.5 1.1 1.3 +10.9 +12.2 +17.5 +18.7 St. Petersburg+15.2 +17.0 1.2 1.3 +12.5 +13.6 +19.6 +21.5 Warsaw+16.5 +17.8 0.9 1.1 +14.1 +15.5 +19.6 +21.6 Vienna+16.2 +18.6 1.0 +13.9 +16.5 +20.1 +21.8

34. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Observed summer (JJA) temperature for Europe 1500-2000 Luterbacher 2005 +18.2 +15.6 * 19001500

35. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Observation and model statistics Luterbacher et al., 2005 ( Temp. in C)

36. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Coldest winter and warmest summer left observed, right model 1941/42 1947

37. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading

38. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Observation and model statistics Luterbacher et al., 2005 ( Temp. in C)

39. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Ten coldest European winters model and “ observations ” ( Luterbacher, 2005) ModelObs Model global anomaly Model height 500 hPa

40. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Ten warmest European summers model and “ observations ” ( Luterbacher, 2005) ModelObserv.

41. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Largest temperature differences between 30 year periods winter ( cold-warm) left, summer (warm-cold) right model observ. Model global

42. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Coldest-warmest winter Warmest-coldest summer Largest 30 - year averages

43. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Summary Pre-industrial European climate over 500 years ( land area) There is a good agreement between modeled and “ observed ” winter and summer temperature Modeled variance is slightly higher than observed but agreement better in the 19th century The coldest winter in the model is colder than observations and the warmest summer is warmer than observed. There are considerably similarities with observed extreme seasons. The ten coldest winters are associated with a warmer central tropical Pacific and a warmer Arctic The ten warmest summers are associated with colder than normal tropical oceans Sustained anomalies over 30 years in the model experiment are similar to observations but observed summer anomalies are larger

44. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Summary Pre-industrial European climate over 500 years ( land area) Global temperature anomalies is well correlated with ENSO (0.70 in DJF) There is virtually no correlation between global temperature anomalies and European temperature anomalies. As in observations modeled European winter temperature is correlated with NAO (0.46) There are regional trends on the time scale of 50 years( significant at 95%)

45. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Conclusions The European climate 1500-1900 It is strongly suggested that that the climate of Europe during the period was strongly dominated by natural variability and that external forcing ( total solar irradiance, TSI and volcanic aerosols) only have had a minor effect. This is supported by the fact that extreme temperature for different seasons occur at very different times. For example the coldest summer and autumn occurred in the beginning of the 20th century, while the coldest winter and spring occurred during the 17th and 18th century respectively. We believe it is probably not feasible to attribute climate variations in the European region to variations in the external forcing as these variations are completely dominated by internal climate variations We believe great care must be applied in attribution studies during this period as incorrect conclusions may result when model variance have deficiencies. It is important to recognize that seasons with extreme temperature and even longer periods with unusual temperatures may just happen by chance

46. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Caveats External forcing from volcanic aerosols ( This is likely to give higher variance during the summer) Variation in cloudiness due to CCN of cosmic origin Land-surface changes Model artifacts

47. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading Proposals for further work Ensemble integrations ( minimum 3) Extend assessment to other parts of the Earth with long observational records of good quality Including volcanic aerosols Including land surface processes Including orbital forcing

48. IRI, Lamont, NY 30 March 2006 Lennart Bengtsson MPI f Met, Hamburg ESSC, Reading END