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Mid-latitude and Tropical Storms Simulated Changes in Atmospheric Drivers of Extreme Sea Levels Ruth McDonald Hadley Centre, Met Office Understanding Sea-level Rise and Variability WCRP Workshop, Paris, June 2006 [email protected] formerly Ruth Carnell Outline Introduction Model predictions of future changes in the frequency and intensity of mid-latitude storms Model predictions of future changes in the frequency of tropical storms Why are cyclones important for sea-level? Storm surges 1953 flooding around North Sea coast Hurricane Katrina New Orleans 2005 © Crown copyright 2005 Page 2 Introduction to tropical and extra-tropical cyclones Tropical Cyclone Extra-tropical cyclone No temperature contrast at surface Baroclinic Energy from horizontal temperature contrast Energy from latent heat colours = SST blue=15°C, blue/green = 20°C, green =25°C solid lines = wind speed Warm core Cold core Strongest winds near surface Strongest winds near tropopause Scale of 100s km © Crown copyright 2005 Scale of 1000s km Contours= pressure surfaces Figure from Merrill (1993), downloaded from Hurricanes FAQ by Chris Landsea at http://www.aoml.noaa.gov/hrd/tcfaq/A7.html Storm descriptions based on Hurricanes FAQ Section A7 (by Stan Goldenberg) Page 3 Impacts of global warming on storms It is often assumed that global warming will cause an increase in the frequency and intensity of extra-tropical and tropical cyclones Not necessarily the case Mid-latitude storms Changes occur as a result of competing effects due to changes in atmospheric temperature and moisture Decrease in low level temperature contrast between pole and equator Less energy for storms Increases in upper level temperature gradient More energy for storms Local temperature contrasts are also important More moisture More latent heating. More intense storms Fewer storms are required to give the same energy flux between equator and poles Tropical storms Linked to enhanced sea surface temperatures and increased moisture Changes to large-scale circulation, wind shear Changes to modes of variability like NAO and ENSO also important © Crown copyright 2005 Page 4 Analysis of storms in climate models Apply an objective technique to locate and in some studies track storms Local centres of geopotential height, mean sea level pressure or relative vorticity Last for at least 2 days and be non-stationary (if tracking) Tropical cyclones also test for warm cores Use parameter diagnostics Band pass filter storm track to look at synoptic variability Eady parameter to look at baroclinicity Seasonal genesis parameter for tropical storms Lots of techniques, makes it hard to compare results © Crown copyright 2005 Page 5 Examples of model cyclone tracks Mid-Latitude Storms for a single winter Tropical Storms for 15 years Tracks look sensible, despite low resolution and poor simulation of individual cyclones Organised into tracks: Atlantic, Pacific, Mediterranean © Crown copyright 2005 Few events Page 6 Mid-latitude Storms Simulation of mid-latitude storms by models:Cyclone density ERA AMIP 13 Model Mean Difference Too far north Too many number of cyclone events per 145,000 km2 accumulated over nine 120 day winter periods for the Northern Hemisphere Lambert et al. (2002) Climate Dynamics © Crown copyright 2005 Too few Summary • All models have systematic errors in the simulation of cyclone tracks • Cyclones tend to be too weak • Errors often larger than climate change signal Page 8 Future changes in mid-latitude storms:Cyclone and track density HadAM3P A2 ECHAM5 ECHAM5-OM A1B Bengtsson et al. (2006) J Climate, in press, thanks to K Hodges Tracks per month per 106km2 ECHAM4/ OPYC3 IS92a Summary: Little consensus of local changes in IS92a frequencyHadCM2 of storms amongst climate models Leckebusch et al. (2006) Climate Research, in press, thanks to G Leckebusch Track density North Atlantic NE Pacific JMA SH Carnell and Senior (1998) Climate Dynamics Cyclones per season per 106km2 © Crown copyright 2005 Geng and Sugi (2003) J Climate Cyclones per 4.5°x4.5° per season Page 9 Future changes in the frequency of winter midlatitude storms Reference Model Carnell and Senior 1998 HadCM2 N48 JMA T106 Experiments NH Change SH Change IS95a Fewer 3x30y Geng and Sugi 20y Fewer Fewer 2003 OBS Poleward and 2050s eastward Fyfe 2003 CCCma 3xIS92a Sub-Antarctic 30% 500y Ctrl fewer Summary: There are fewer mid-latitude storms in winter in both Lambert 2004 CGCM1 Fewer hemispheres in the future 1% simulationsFewer CGCM2 T32 1850-2100 Watterson 2006 CSIRO 30y Fewer Fewer Mk2 R21, A2 Mk3 T63 Lambert and IPCC 4AR 20y Fewer Fewer Fyfe 2006 GCMs No shift No shift Bengtsson et al. ECHAM5 2006 OM T63 © Crown copyright 2005 3x30y A1B No change Poleward shift No change Poleward shift Page 10 Future changes in the frequency of intense Northern Hemisphere winter mid-latitude storms Reference Model Experiment Intensity measure Carnell and Senior 1998 Geng and Sugi 2003 HadCM2 IS95a N48 3x30y JMA T106 20y OBS, 2050s Central MSL pressure Central MSL pressure gradient Change in frequency of intense cyclones More intense More intense Lambert CGCM1 1% Central MSL More intense 2004 CGCM2 1850-2100 pressure Summary:T32 There is some evidence of an increase in the frequency of the deepest storms in the future simulations Watterson CSIRO 30y Various dynamical Little change in 2006 Mk2 R21, A2 measures & dynamical intensity, Mk3 T63 precipitation more precipitation Lambert and Fyfe 2006 Bengtsson et al. 2006 IPCC 4AR GCMs ECHAM5 OM T63 © Crown copyright 2005 20y Central MSL pressure More intense 3x30y A1B Central Relative vorticity Fewer weak Page 11 Summary of other studies on changes in midlatitude storms Ref Model Exp Changes Lionello et al. 2002 ECHAM4 30y 2xCO2 Fewer tracks in Mediterranean region Fyfe 2003 CCCma IS92a x3 1850-2100 Sub-Antarctic fewer cyclones Lozano et al 2004 ECHAM4 AGCM T106 2xCO2 30y Coastal storms Fewer but more intense in region covering Ireland and Scotland Leckebusch and Ulbrich 2004 HadCM3 A1, B2 30y More North Atlantic cyclone tracks, and more intense Yin 2005 IPCC 4AR GCMs A1B 20y BPF EKE Poleward and upward shift intensification Inatsu and Kimoto 2005 CCSR/NIES/FRC GC AGCM 20y x7 2xCO2 timeslice EKE shows W Pacific tracks stronger and W Hemisphere track weaker Fischer-Bruns et al. 2006 ECHAM4HOPEG T30 A2, B2 Max wind speed events, poleward shift, more N Atl, SO, fewer Pacific ocean Leckebusch et al. 2006 5 GCMs A1 and IS92a 30y Fewer in N Atlantic, Oct-Mar More intense © Crown copyright 2005 Page 12 Tropical Storms Simulation of tropical storms by models:cyclone genesis density T106 JMA N144 HadAM3 Observations 10y Model CLIM1 10y McDonald et al. (2005) Climate Dynamics Cyclone genesis per 0.83°x1.25° x per 17y Too few in NE Pacific Yoshimura and Sugi (2006) SOLA Models simulate cyclones in S Atlantic Summary: Simulation of TC genesis is realistic but there are some errors © Crown copyright 2005 Page 14 Future changes in the frequency of tropical storms N144 HadAM3 20km MRI/JMA McDonald et al. (2005) Climate Dynamics Cyclone genesis per 0.83°x1.25° x per 17y T106 JMA Oouchi et al. (2006) J Met Soc Japan NW Pacific © Crown copyright 2005 Sugi et al. J Met Soc Japan N Atlantic Page 15 Future changes in the frequency of tropical storms Ratio (%) of number of storms in global warming experiment to number in control experiment model reference Global Ocean basin NA WNP ENP T106 JMA 10y Sugi et al. 2002 66 161 34 33 109 43 69 T42 NCAR CCM2 10y Tsutsui 2002 102 86 111 91 116 124 99 N144 HadAM3 15y McDonald et al. 2005 94 75 70 180 142 110 82 T106 CCSR/NIES/FRCGC Hasegawa and Emori 2005 T106 JMA 10y Yoshimura & Sugi 05 fewer T63 ECHAM5-OM Bengtsson et al. 2006 94 20km MRI/JMA Oouchi et al. 2006 70 66 48 72 57 NI SI SWP 96 134 62 Red = significantly more tropical storms in the future simulation Blue = significantly fewer tropical storms in the future simulation Summary: fewer tropical cyclones globally in the future simulations, sign of regional changes varies between model and basin © Crown copyright 2005 Page 16 Summary IPCC TAR: simulated future changes in storms are inconclusive There are still large uncertainties in the future changes of mid-latitude and tropical storms Mid-latitude storms Models are tending to agree on there being fewer Northern and Southern Hemisphere extra-tropical storms in winter Models do not agree on regional changes in frequency of storms Some models show poleward shifts in the storm tracks There is some agreement on increased frequency of extra-tropical storms with central pressure below 970 hPa Tropical storms Models are tending to show reduced frequency of tropical storms, but the sign of the changes varies with region © Crown copyright 2005 Page 17 References Bengtsson L, Hodges K, Roeckner E (2006) Storm tracks and climate change. J Climate, in press Carnell RE, Senior CA (1998) Changes in mid-latitude variability due to increasing greenhouse gases and sulphate aerosols. Clim Dynam 14: 369–383, DOI: 10.1007/s003820050229 Fischer-Bruns I., von Storch H, Gonzáles-Rouco JF and Zorita E (2005) Modelling the variability of midlatitude storm activity on decadal to century time scales. Clim Dynam 25: 461 – 476, DOI: 10.1007/s00382-005-0036-1 Fyfe JC (2003) Extratropical Southern Hemisphere cyclones: harbingers of climate change? J Clim 16: 2802-2805, DOI: 10.1175/15200442(2003)016<2802:ESHCHO>2.0.CO;2 Geng Q and Sugi M (2003) Possible change of extratropical cyclone activity due to enhanced greenhouse gases and sulfate aerosols - study with a high-resolution AGCM. J Clim 16: 2262- 2274, DOI: 10.1175/1520-0442(2003)16<2262:PCOECA>2.0.CO;2 Gray WM (1979) Hurricanes: their formation, structure and likely role in the tropical circulation. In Shaw DB, editor, Meteorology over the Tropical Oceans 155-218. Royal Meteor Soc Hasegawa A and Emori S (2005) Tropical cyclones and associated precipitation over the Western North Pacific: T106 atmospheric GCM simulation for present-day and doubled CO2 climates. SOLA 1: 145-148, SOI:10.2151/sola.2005-038 Inatsu M, Kimoto M (2005) Two Types of Interannual Variability of the Mid-winter Storm-tracks and their Relationship to Global Warming. SOLA 1: 61-64, DOI: 10.2151/sola.2005-017 Lambert SJ (1995) The effect of enhanced greenhouse warming on winter cyclone frequencies and strengths. J Clim 8: 1447–1452, DOI: 10.1175/15200442(1995)008<1447:TEOEGW>2.0.CO;2 Lambert SJ, Sheng J and Boyle J (2002) Winter cyclone frequencies in thirteen models participating in the Atmospheric Model Intercomparison Project (AMIP1). Clim Dynam 19: 1-16, DOI: 10.1007/s00382-001-0206-8 Lambert SJ (2004) Changes in winter cyclone frequencies and strengths in transient enhanced greenhouse warming simulations using two coupled climate models. Atmosphere-Ocean 42: 173-181 Lambert SJ, Fyfe JC (2006) Changes in winter cyclone frequencies and strengths simulated in enhanced greenhouse warming experiments: results from the models participating in the IPCC diagnostic exercise. Clim Dynam, 26: 713 - 728, DOI: 10.1007/s00382-006-0110-3 Leckebusch G, Ulbrich U (2004) On the relationship between cyclones and extreme windstorm events over Europe under climate change. Global and Planetary Change 44: 181–193, DOI 10.1016/j.gloplacha.2004.06.011 Leckebusch GC, Koffi B, Ulbrich U, Pinto JG, Spangehl T and Zacharias S (2006) Analysis of frequency and intensity of winter storm events in Europe on synoptic and regional scales from a multi-model perspective. Climate Research, in press Lionello P, Dalan F, Elvini E (2002) Cyclones in the Mediterranean region: the present and the doubled CO2 climate scenarios. Clim Res 22: 147-159 Lozano I, Devoy RJN, May W, Anderson U (2004) Storminess and vulnerability along the Atlantic coastlines of Europe: analysis of storm records and of a greenhouse gases induced climate scenario . Marine Geology 210: 205-225 Merrill R T (1993) Tropical Cyclone Structure. Chapter 2, Global Guide to Tropical Cyclone Forecasting, WMO/TC-No. 560, Report No. TCP-31, World Meteorological Organization; Geneva, Switzerland McDonald RE, Bleaken DG, Cresswell DR, Pope VD, Senior CA (2005) Tropical storms: representation and diagnosis in climate models and the impacts of climate change. Climate Dynamics 25: 19-36, DOI: 10.1007/s00382-004-0491-0 Oouchi K; Yoshimura J, Yoshimura H, Mizuta R, Kusunoki S and Noda A (2006) J Meteorol Soc Japan, 84, 259-276 Sugi M, Noda A, Sato N (2002) Influence of global warming on tropical cyclone climatology: an experiment with the JMA global model. J Meteorol Soc Japan 80: 249272 Tsutsui J (2002) Implications of anthropogenic climate change for tropical cyclone activity: a case study with the NCAR CCM2. J Meteorol Soc Japan 80: 45-65, DOI:10.2151/jmsj.80.45 Watterson IG (2006) The intensity of precipitation during extratropical cyclones in global warming simulations: a link to cyclone intensity? Tellus A 58: 82-97, DOI: 10.1111/j.1600-0870.2006.00147.x Yin JH (2005), A consistent poleward shift of the storm tracks in simulations of 21st century climate, Geophys Res Lett 32: L18701, DOI:10.1029/2005GL023684 Yoshimura J and Sugi M (2005) Tropical Cyclone Climatology in a High-resolution AGCM - Impacts of SST Warming and CO2 Increase. SOLA 1: 133-136, DOI: 10.2151/sola.2005-035 © Crown copyright 2005 Page 18