The role of Mediterranean mesoscale eddies on the climate of the Euro-Mediterranean region by A. Bellucci 1, S. Gualdi 1,2, E. Scoccimarro 2, A. Sanna.

Slides:



Advertisements
Similar presentations
S. Gualdi, A. Bellucci, R. Mathew, E. Scoccimarro
Advertisements

Basics of numerical oceanic and coupled modelling Antonio Navarra Istituto Nazionale di Geofisica e Vulcanologia Italy Simon Mason Scripps Institution.
Africa Group paper session, Monday 18 February 2008 Charlie Williams Climate modelling in AMMA Ruti, P. M., Hourding, F. & Cook, K. H. CLIVAR Exchanges,
Where and when should one hope to find added value from dynamical downscaling of GCM data? René Laprise Director, Centre ESCER (Étude et Simulation du.
Gabriel Jordà, F. M. Calafat, M. Marcos, D. Gomis, S. Somot, E. Álvarez-Fanjul, I. Ferrer ESTIMATION OF SEA LEVEL VARIABILITY FROM OCEAN MODELS.
Experiments with Monthly Satellite Ocean Color Fields in a NCEP Operational Ocean Forecast System PI: Eric Bayler, NESDIS/STAR Co-I: David Behringer, NWS/NCEP/EMC/GCWMB.
Decadal climate predictions with the CMCC-CM coupled OAGCM initialized with ocean analyses A. Bellucci 1, S. Gualdi 1,2, E. Scoccimarro 2, A. Navarra 1,2,
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Task: (ECSK06) Regional downscaling Regional modelling with HadGEM3-RA driven by HadGEM2-AO projections National Institute of Meteorological Research (NIMR)/KMA.
Climatic impacts of stochastic fluctuations in air–sea fluxes Paul Williams Department of Meteorology, University of Reading, UK.
Projections of Future Atlantic Hurricane Activity Hurricane Katrina, Aug GFDL model simulation of Atlantic hurricane activity Tom Knutson NOAA /
Mojib Latif, Helmholtz Centre for Ocean Research and Kiel University
Indirect Determination of Surface Heat Fluxes in the Northern Adriatic Sea via the Heat Budget R. P. Signell, A. Russo, J. W. Book, S. Carniel, J. Chiggiato,
Outline Further Reading: Detailed Notes Posted on Class Web Sites Natural Environments: The Atmosphere GE 101 – Spring 2007 Boston University Myneni L29:
Earth Systems Science Chapter 6 I. Modeling the Atmosphere-Ocean System 1.Statistical vs physical models; analytical vs numerical models; equilibrium vs.
Outline Further Reading: Detailed Notes Posted on Class Web Sites Natural Environments: The Atmosphere GG 101 – Spring 2005 Boston University Myneni L31:
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
INGV Mediterranean Sea Level Rise Scenarios from CIRCE S. Dobricic on behalf of the CIRCE project team: M. Adani, S. Gualdi, S. Somot, W. May, S. Castellari,
Mechanisms controlling ENSO: A simple hybrid coupled model study Cheng-Wei Chang 1 * and Jia-Yuh Yu 2 1. Institute of Geography, Chinese Culture University,
High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,
“ New Ocean Circulation Patterns from Combined Drifter and Satellite Data ” Peter Niiler Scripps Institution of Oceanography with original material from.
Northern Hemisphere Atmospheric Transient Eddy Fluxes and their Co-variability with the Gulf Stream and Kuroshio-Oyashio Extensions Young-Oh Kwon and Terrence.
1.Introduction 2.Description of model 3.Experimental design 4.Ocean ciruculation on an aquaplanet represented in the model depth latitude depth latitude.
Comparison of Surface Turbulent Flux Products Paul J. Hughes, Mark A. Bourassa, and Shawn R. Smith Center for Ocean-Atmospheric Prediction Studies & Department.
Changes in Floods and Droughts in an Elevated CO 2 Climate Anthony M. DeAngelis Dr. Anthony J. Broccoli.
Sara Vieira Committee members: Dr. Peter Webster
Impacts of Aerosols on Climate Extremes in the USA Nora Mascioli.
Extra-tropical climate and the modelling of the stratosphere in coupled atmosphere ocean models. E Manzini Istituto Nazionale di Geofisica e Vulcanologia.
Volcanic Climate Impacts and ENSO Interaction Georgiy Stenchikov Department of Environmental Sciences, Rutgers University, New Brunswick, NJ Thomas Delworth.
Regional Air-Sea Interactions in Eastern Pacific 6th International RSM Workshop Palisades, New York July 11-15, th International RSM Workshop Palisades,
Development of an EnKF to estimate CO 2 fluxes from realistic distributions of X CO2 Liang Feng, Paul Palmer
Research Needs for Decadal to Centennial Climate Prediction: From observations to modelling Julia Slingo, Met Office, Exeter, UK & V. Ramaswamy. GFDL,
Ben Kirtman University of Miami-RSMAS Disentangling the Link Between Weather and Climate.
CLIMARES WP 110 Climate model scenarios for the Arctic region for the next decades Current state: Klaus Dethloff, AWI WP Leader: Erich Roeckner, MPI Planing.
Motivation Quantify the impact of interannual SST variability on the mean and the spread of Probability Density Function (PDF) of seasonal atmospheric.
“Very high resolution global ocean and Arctic ocean-ice models being developed for climate study” by Albert Semtner Extremely high resolution is required.
For more information about this poster please contact Gerard Devine, School of Earth and Environment, Environment, University of Leeds, Leeds, LS2 9JT.
The European Heat Wave of 2003: A Modeling Study Using the NSIPP-1 AGCM. Global Modeling and Assimilation Office, NASA/GSFC Philip Pegion (1), Siegfried.
Mechanisms of drought in present and future climate Gerald A. Meehl and Aixue Hu.
Feng Zhang and Aris Georgakakos School of Civil and Environmental Engineering, Georgia Institute of Technology Sample of Chart Subheading Goes Here Comparing.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Using Dynamical Downscaling to Project.
OCO 10/27/10 GFDL Activities in Decadal Intialization and Prediction A. Rosati, S. Zhang, T. Delworth, Y. Chang, R. Gudgel Presented by G. Vecchi 1. Coupled.
INGV-CMCC contribution to CLIMARES proposal Silvio Gualdi and Elisa Manzini CLIMARES meeting October 2009, Bergen.
Experience with ROMS for Downscaling IPCC Climate Models 2008 ROMS/TOMS European Workshop, Grenoble, 6-8 October Bjørn Ådlandsvik, Paul Budgell, Vidar.
Role of the Gulf Stream and Kuroshio-Oyashio Systems in Large- Scale Atmosphere-Ocean Interaction: A Review Young-oh Kwon et al.
Role of the Stratosphere in Climate Modelling: The Connection Between the Hadley and the Brewer-Dobson Circulation M. A. Giorgetta (1), E. Manzini (2),
1 Greenhouse Gas Emissions, Global Climate Models, and California Climate Change Impacts.
Data and Methods Introduction Northern hemisphere winter mid-latitude atmospheric variability in CMIP5 models Atmospheric variability with NH mid-latitudes.
PAPER REVIEW R Kirsten Feng. Impact of global warming on the East Asian winter monsoon revealed by nine coupled atmosphere-ocean GCMs Masatake.
1 Development of a Regional Coupled Ocean-Atmosphere Model Hyodae Seo, Arthur J. Miller, John O. Roads, and Masao Kanamitsu Scripps Institution of Oceanography.
Numerical Investigation of Air- Sea Interactions During Winter Extratropical Storms Presented by Jill Nelson M.S. Marine Science Candidate Graduate Research.
Can freshwater input in the Mediterranean Sea impact large-scale climate? Didier Swingedouw, Pierre Sepulchre, Christophe Colin, Giovanni Sgubin.
Multidecadal simulations of the Indian monsoon in SPEEDY- AGCM and in a coupled model Annalisa Bracco, Fred Kucharski and Franco Molteni The Abdus Salam.
Interannual to decadal variability of circulation in the northern Japan/East Sea, Dmitry Stepanov 1, Victoriia Stepanova 1 and Anatoly Gusev.
Arctic climate simulations by coupled models - an overview - Annette Rinke and Klaus Dethloff Alfred Wegener Institute for Polar and Marine Research, Research.
VOCALS-UK Len Shaffrey and Thomas Toniazzo Walker Institute, University of Reading John Constable ‘Cloud Study’ 1822.
NOAA Northeast Regional Climate Center Dr. Lee Tryhorn NOAA Climate Literacy Workshop April 2010 NOAA Northeast Regional Climate.
The impact of lower boundary forcings (sea surface temperature) on inter-annual variability of climate K.-T. Cheng and R.-Y. Tzeng Dept. of Atmos. Sci.
The North American Monsoons (NAM) can provide upwards of 70% of the annual precipitation to the southwest United States and Mexico. Already susceptible.
Climate Change Climate change scenarios of the
Samuel SOMOT1 and Michel CREPON2
Coupling CLM3.5 with the COSMO regional model
AS REPRESENTED BY HIGH RESOLUTION CMCC CLIMATE MODELS
Mark A. Bourassa and Qi Shi
Baroclinic and barotropic annular modes
Seasonal-to-interannual climate prediction using a fully coupled OAGCM
Centro EuroMediterraneo per i cambiamenti climatici
WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain
WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain
Korea Ocean Research & Development Institute, Ansan, Republic of Korea
Presentation transcript:

The role of Mediterranean mesoscale eddies on the climate of the Euro-Mediterranean region by A. Bellucci 1, S. Gualdi 1,2, E. Scoccimarro 2, A. Sanna 1, P. Oddo 2, and A. Navarra 1,2 contact: 1. CMCC – Centro Euro-Mediterraneo per i Cambiamenti Climatici (Euro-Mediterranean Centre for Climate Change), Bologna, Italy 2. INGV – Istituto Nazionale di Geofisica e Vulcanologia (National Institute of Geophysics and Volcanology), Bologna, Italy Istituto Nazionale di Geofisica e Vulcanologia Introduction and Motivations Within the CIRCE (Climate Change and Impact Research: The Mediterranean Environment) EU Project, substantial efforts were devoted to enhance the representation of the oceanic system in the Mediterranean region. This was achieved by developing coupled general circulation models with ocean components which either explicitly resolve, or simply permit, mesoscale circulation features. The inclusion of the eddy variability tail in the spectrum of the processes resolved by the modelled system represents a particularly relevant step forward with respect to the previous CMIP3 generation of climate models, as these were systematically based on coarse resolution ocean components, leading in turn to an extremely rough representation of the Mediterranean Sea sub-system. In this study the role of mesoscale oceanic features on the air-sea interactions over the Mediterranean region was analysed, in the context of one of the CIRCE ensemble of climate models. To this aim, two different simulations of the 20th Century climate, performed with two distinct configurations of the CMCC coupled general circulation model featuring radically different horizontal resolutions in the Mediterranean Sea domain, were compared. This comparison highlights the implications deriving from the inclusion of energetic ocean mesoscale structures in the variability spectrum of the coupled ocean-atmosphere system and points to the need for high- resolution ocean components in the development of next generation climate model. Fig.1 : Daily SST (1 st Jan 1960) snapshots over the Med Sea from experiments (top) H, and (bottom) L. OGCM: OPA 8.2 (GLOBAL) NEMO (Med Sea) AGCM:ECHAM5 Global SST Models and experimental setup Two 20C3M simulations forced with historical timeseries of GHG, aerosol & volcanoes are performed, using two global CGCMs, only differing by the ocean space resolution over the Med Sea region (see Fig.1): Exp. H : ECHAM5 T159L31 + OPA8.2 (global ocean) + LIM2 + NEMO 1/16 o (Med Sea) Exp. L : ECHAM5 T159L31 + OPA8.2 (global ocean) + LIM2 Exp. H (turbulent) Exp. L (laminar) OGCM: OPA 8.2 (GLOBAL) Med Sea SST AGCM:ECHAM5 Global SST Exp. H (turbulent) H L In this study, two numerical simulations of the 20 th Century climate performed with two global GCMs are analysed. In the first experiment (L), a T159 atmosphere (equivalent to ∼ 80 Km horizontal resolution) is coupled to a 2x2 o global ocean model, with a locally enhanced 1 o resolution over the Mediterranean Sea region. In the second experiment (H), the same T159 atmosphere is coupled to a global ocean model, except over the Mediterranean Sea where a regional high-resolution 1/16 o ( ∼ 7 Km) ocean model is used, which is in turn coupled to the low-resolution global OGCM at Gibraltar Strait (CMCC-Med; Gualdi et al. 2011). Thus, in H, as far as the Mediterranean area is concerned, the atmosphere is locally coupled to an ocean model which resolves mesoscale features (turbulent ocean), whereas in L the atmosphere interacts with a laminar oceanic system. Since these two experiments are identical except for the resolution of the ocean model over the Mediterranean Sea, the systematic comparison of H and L allows the assessment of the net effects on the climate of the Euro-Mediterranean region from explicitly resolving mesoscale oceanic features in the coupled model. Spectral analysis in the wavenumber domain (Fig.2). Power spectra of surface temperature in the wavenumber domain were computed for both H and L experiments using daily zonal transects in the Eastern Mediterranean basin, over a 4 years long period (Fig.2). The spectra were diagnosed from both the ocean model (sea-surface temperature; SST) and the atmospheric model (surface air temperature over ocean grid-points; SAT) counterpart. The simple comparison between SST and SAT power spectra for experiment H highlights the existence of an upper cut-off wavenumber set by the atmospheric resolution, which inhibits the direct transfer of spatial SST variance from the ocean to the atmosphere for wavelenghts shorter than the smallest spatial scale resolved by the atmosphere (80 Km). Surface temperature fields display a typical k -m power-law shape, i.e. with energy decaying for larger wavenumbers. In H, m approximately fits the theoretical -5/3 law of two-dimensional turbulence within the Km range, while a steeper slope is revealed for the smaller-scale dissipative range (SST power spectrum). On the other hand, in L the ocean and the atmosphere share a much similar horizontal resolution (80 and 111 Km, for the atmosphere and the ocean GCM, respectively). Interestingly, SST (not shown) and SAT power spectra display a steeper slope and consistently lower energy in the Km range with respect to H. Thus, the absence of a developed ocean eddy field in L seems to affect the long- wave part of the common ocean-atmosphere variability spectrum. The inclusion of a vigorous oceanic eddy field in the coupled system appears to indirectly affect the large scale part of the variability spectrum. This may possibly occur through the non-linear eddy-large scale interactions taking place in the high-resolution ocean component. In particular, the upscale energy transfer, which typically takes place in two-dimensional turbulent fluids (such as the ocean) may play a role in this process. Fig.2 : Wavenumber spectra for SST and atmospheric surface temperature from experiments L and H from daily zonal transects in the Eastern Mediterranean basin, from both the ocean and atmospheric model. A constant slope theoretical k -5/3 spectrum is also shown. Patterns of H-L mean state differences (Fig.3 Left) reveal an overall 1 o K warming impact of the enhanced ocean horizontal resolution over the Med Sea,. Consistent H-L patterns of enhanced evaporation (not shown) and latent heat losses also emerge. The comparison of model SST climatology with HadISST over the Mediterranean region reveals a substantial SST bias reduction in the high-resolution H experiment, with respect to experiment L. Fig.3 : Left H-L difference between long term climatologies for (top) surface air temperature (colour; o C) (bottom) latent heat flux (W/m 2 ). Right SST climatology Model-OBS difference for (top) H and (bottom) L. HadISST data were used as SST OBS. Impact of Med Sea horizontal resolution on surface european climate:bias reduction. Acknowledgements This work was funded by the EU FP7 CIRCE (Climate Change and Impact Research: the Mediterranean region and the global climate system ) Integrated Project. Med Sea interannual variability Fig.4 Power spectra of Mediterranean basin-averaged SSTs reveal enhanced variability around interannual time-scales in the eddy resolving H experiment (black), while the control L experiment (green) shows a red-noise shaped structure, with enhanced power at lower frequencies. AR1 95% confidence levels are also shown. Concluding remarks The inclusion of a vigorous eddy field in the ocanic component of a coupled climate model substantially alters both the mean state of the system and its space and time variability. This comparison points to the need for high-resolution ocean components in the development of next generation climate models. References Gualdi and Coauthors, 2011: The CIRCE simulations: a new set of regional climate change projections performed with a realistic representation of the Mediterranean Sea, to be submitted to BAMS.