Mediterranean Sea Level Variability Changes and Projections at High Frequencies (1-100 Days) Ivica Vilibic, Jadranka Sepic Institut of Oceanography and.

Slides:



Advertisements
Similar presentations
The local response to the NAO in a RegCM 30-year run Roxana Bojariu and Liliana Velea National Institute of Meteorology Bucharest, Romania
Advertisements

Matthew Hendrickson, and Pascal Storck
Gabriel Jordà, F. M. Calafat, M. Marcos, D. Gomis, S. Somot, E. Álvarez-Fanjul, I. Ferrer ESTIMATION OF SEA LEVEL VARIABILITY FROM OCEAN MODELS.
Clima en España: Pasado, presente y futuro Madrid, Spain, 11 – 13 February 1 IMEDEA (UIB - CSIC), Mallorca, SPAIN. 2 National Oceanography Centre, Southampton,
Does the thermohaline circulation weaken in the Adriatic Sea? Ivica Vilibić, Jadranka Šepić Institute of Oceanography and Fisheries, Split, Croatia Nicolas.
Snow Trends in Northern Spain. Analysis and Simulation with Statistical Downscaling Methods Thanks to: Daniel San Martín, Sixto.
Long-term sea level variability in the Mediterranean Sea: the mechanisms responsible for the observed trends Marta Marcos 1, Dami à Gomis 1, Mikis N. Tsimplis.
IPRC Symposium on Ocean Salinity and Global Water Cycle Recent Trends and Future Rainfall Changes in Hawaii Honolulu, Hawaii, Presentation by.
Chukchi/Beaufort Seas Surface Wind Climatology, Variability, and Extremes from Reanalysis Data: Xiangdong Zhang, Jeremy Krieger, Paula Moreira,
Progress in Downscaling Climate Change Scenarios in Idaho Brandon C. Moore.
Hans von Storch, Frauke Feser, Ralf Weisse and Matthias Zahn Institute for Coastal Research, GKSS Research Center, Germany and KlimaCampus, U of Hamburg,
The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental.
© Crown copyright Met Office Climate Projections for West Africa Andrew Hartley, Met Office: PARCC national workshop on climate information and species.
Institut Mediterrani d’Estudis Avançats Esporles · Mallorca · SPAIN A study of potential effects of climatic change on the ecosystems of the Mediterranean.
Climate Baseline Scenarios and GCMs performance By Mario Bidegain (Facultad de Ciencias – UR LA32/LA26) Ines Camilloni (Facultad de Ciencias – UBA LA26)
1 Climate Ensemble Simulations and Projections for Vietnam using PRECIS Model Presented by Hiep Van Nguyen Main contributors: Mai Van Khiem, Tran Thuc,
Recent studies on the Adriatic long-term oceanographic changes Ivica Vilibić Institute of Oceanography and Fisheries, Split, Croatia,
Regional climate prediction comparisons via statistical upscaling and downscaling Peter Guttorp University of Washington Norwegian Computing Center
Downscaling and its limitation on climate change impact assessments Sepo Hachigonta University of Cape Town South Africa “Building Food Security in the.
VANIMEDAT project : Decadal and interdecadal sea-level variability in the Mediterranean sea and northeastern Atlantic ocean A. Pascual 1, M. Marcos 2,
Past and Future Changes in Extreme Sea Levels and Waves Session Chair: Philip Woodworth and Jason Lowe Rapporteur: Kathleen McInnes Philip Woodworth, “Evidence.
Downscaling Future Climate Scenarios for the North Sea 2006 ROMS/TOMS Workshop, Alcalá de Henares, 6-8 November Bjørn Ådlandsvik Institute of Marine Research.
June 16th, 2009 Christian Pagé, CERFACS Laurent Terray, CERFACS - URA 1875 Julien Boé, U California Christophe Cassou, CERFACS - URA 1875 Weather typing.
Climate change and sediment budgets? Jaak Monbaliu Albin Ullmann.
Tropical Domain Results Downscaling Ability of the NCEP Regional Spectral Model v.97: The Big Brother Experiment Conclusions: Motivation: The Big Brother.
Precipitation over Iceland simulated in a future climate scenario at various horizontal resolutions Hálfdán Ágústsson, Ólafur Rögnvaldsson, Haraldur Ólafsson.
Operational sub-regional Long-Range Forecasting Unit at RA VI Regional Climate Center – South-East European Virtual Climate Change Center Vladimir Djurdjevic.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
Simulation of Present-Day Climate in the Caribbean using PRECIS RCM M Mr. Arnoldo Bezanilla Marlot.
Towards downscaling changes of oceanic dynamics Hans von Storch and Zhang Meng ( 张萌 ) Institute for Coastal Research Helmholtz Zentrum Geesthacht, Germany.
C20C Workshop ICTP Trieste 2004 The Influence of the Ocean on the North Atlantic Climate Variability in C20C simulations with CSRIO AGCM Hodson.
Page 1 Strategies for describing change in storminess – using proxies and dynamical downscaling. Hans von Storch Institute for Coastal Research, GKSS Research.
Climate information for the wind energy industry in the Mediterranean Region: from ENSEMBLES to MED- CORDEX Alessandro Dell'Aquila, ENEA Sandro Calmanti,
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.
WP3.10 Cross-assessment of CCI-ECVs over the Mediterranean domain.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Using Dynamical Downscaling to Project.
Meteotsunamis in the Mediterranean Sea: rare but destructive extreme sea level events occurring under specific synoptic conditions Ivica Vilibić, Jadranka.
September Advertisement: CM SAF Data freely available in netcdf-format User-friendly data access via the Web User Interface:
Possible North Atlantic extratropical cyclone activity in a warmer climate Lanli Guo William Perrie Zhenxia Long Montreal 2012 Bedford Institute of Oceanography,
Page 1. Page 2 German presentations COLIJN Franciscus, GKSS: COSYNA VON STORCH Jin-Song, MPIM: Wind generated power input into the deep ocean VON STORCH.
NEMOMED8 performance in the Adriatic Sea: the first results
Assessing the Influence of Decadal Climate Variability and Climate Change on Snowpacks in the Pacific Northwest JISAO/SMA Climate Impacts Group and the.
A signal in the energy due to planetary wave reflection in the upper stratosphere J. M. Castanheira(1), M. Liberato(2), C. DaCamara(3) and J. M. P. Silvestre(1)
One-year re-forecast ensembles with CCSM3.0 using initial states for 1 January and 1 July in Model: CCSM3 is a coupled climate model with state-of-the-art.
Indo-Pacific Sea Surface Temperature Influences on Failed Consecutive Rainy Seasons over Eastern Africa** Andy Hoell 1 and Chris Funk 1,2 Contact:
GCM simulations for West Africa: Validation against observations and projections for future change G.Jenkins, A.Gaye, A. Kamga, A. Adedoyin, A. Garba,
The ENSEMBLES high- resolution gridded daily observed dataset Malcolm Haylock, Phil Jones, Climatic Research Unit, UK WP5.1 team: KNMI, MeteoSwiss, Oxford.
The Link between Wildfires and Precipitation in Africa Ziming Ke.
Climate variability in wind waves from VOS visual observations Vika Grigorieva & Sergey Gulev, IORAS, Moscow  Climatology of visually observed wind waves.
Climate scenarios for the Netherlands The Netherlands approach for generating climate change scenarios Bart van den Hurk,
Arctic climate simulations by coupled models - an overview - Annette Rinke and Klaus Dethloff Alfred Wegener Institute for Polar and Marine Research, Research.
Ph.D. Seminar, Risoe The influence of atmospheric circulation patterns on surface winds above North Sea Kay Sušelj, Abha Sood, Detlev Heinemann.
THE BC SHELF ROMS MODEL THE BC SHELF ROMS MODEL Diane Masson, Isaak Fain, Mike Foreman Institute of Ocean Sciences Fisheries and Oceans, Canada The Canadian.
A westerly circulation index based on marine data between 1685 and 2008: Implications for the atmospheric variability in the Mediterranean. Gallego, D.
Decadal Variability in the Southern Hemisphere Xiaojun Yuan 1 and Emmi Yonekura 2 1 Lamont-Doherty Earth Observatory Columbia University 2 Department Environment.
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.
ENVIRONMENTAL SCIENCE TEACHERS’ CONFERENCE ENVIRONMENTAL SCIENCE TEACHERS’ CONFERENCE, Borki Molo, Poland, 7-10 February 2007 The warming trend for the.
Actions & Activities Report PP8 – Potsdam Institute for Climate Impact Research, Germany 2.1Compilation of Meteorological Observations, 2.2Analysis of.
L. Carrère, Y. Faugère, E. Bronner, J. Benveniste
Institute of Oceanography and Fisheries, Split, Croatia
Intense high-frequency sea level oscillations at tsunami timescales and their connection to synoptic atmospheric patterns Ivica Vilibić, Jadranka Šepić.
Ivica Vilibić, Jadranka Šepić
Proxy-based assessment of strength and frequency of the Mediterranean meteotsunamis in present and future climates Ivica Vilibić1, Jadranka Šepić1 , Natalija.
ADIOS basic facts, motivation, structure and work-to-do
Meng Zhang (张萌), Hans von Storch
WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain
WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain
Hans von Storch and Frauke Feser
Vladimir S. Platonov, Mikhail I. Varentsov
Presentation transcript:

Mediterranean Sea Level Variability Changes and Projections at High Frequencies (1-100 Days) Ivica Vilibic, Jadranka Sepic Institut of Oceanography and Fisheries, Split, Croatia Gabriel Jordà, Marta Marcos IMEDEA (CSIC-UIB), Palma de Mallorca, Spain

Motivation 1.More attention has been paid to the MSL projections than to sea level extremes. 2.Regional sea level extreme climate projections are just now ‘being born’ for the Mediterranean. 3.What about short timescales (less than few months) contributors to the sea level variability (SLV) and extremes, about their present climate patterns and future projections? 4.Does SLV climate projections differ over frequencies?

To ‘slightly’ bridge that problem we 1.Applied 2D ocean climate model to the Mediterranean, forced by reanalysis atmospheric fields (hindcast run) and GHG+aerosol from RegCM (control run + B1, A1B, A2 projections) 2.Extracted SLV patterns over different frequency bands (1-3, 3-10, days) by applying digital band-pass filtering to the sea level series 3.Estimated the importance (variance) of SLV over different frequency bands and associated atmospheric processes 4.Computed present and future SLV climatology and linear trends. 5.Assessed a difference between frequency bands, present climate and scenarios, and sub-basins

The model Type: barotropic Domain: Mediterranean + a bite of Atlantic Resolution: 1/4 o 1/6 o, 8660 grid nodes Resolution: 1/4 o x 1/6 o, 8660 grid nodes Forcing: wind and air pressure Hindcast run: ARPEGE dynamical downscalling of ERA40, Climate runs: Control ( ) + SRES B1, A1B, A2, ARPEGE-v3 RegCM ( )

Hindcast model run has been validated over long-term tide gauge records, separately for each frequency band. Verification and reliability of the model results Good :) hm :(

Verification and reliability of the model results Control model run has been validated over hindcast model run, separately for each frequency band. Also done by Jorda et al. (GPC, in press) on reproduction of overall seasonal cycle, intra- and inter-annual variability. Relative difference in energy between control and hindcast model runs

Present climate SLV values (hindcast)

Present climate SLV trends (hindcast) Trends are mostly insignificant, although negative in average.

Present climate SLV trends (hindcast) Sporadically one may find significant negative trends over small areas within the domain.

Future climate SLV trends (75p) 1-3 d Trends are significantly negative!!!

Future climate SLV trends (99p) Less negative extreme SLV trends.

Future climate SLV trends (spatial, seasonal)

Conclusions and perspectives Mediterranean ocean climate model reproduced well the day SLV, and not so good the 1-3-day SLV – further downscalling of atmospheric CM to capture properly local temporal and spatial changes in forcing should be carried out. The largest SLV variance is occurring over the planetary frequency band ( days), from 60 to 85% over the Mediterranean, emphasizing the importance of the associated processes in overall sea level extremes. Present Mediterranean SLV at periods between 1 and 100 days has mostly insignificant trends. Projected SLV trends are largely negative for A1B and A2 scenarios, and remained insignificant for B1 scenario. Negative trends are larger for the 1-3-day frequency band and during OND – implication to overall sea level extremes. A broadening in methodology (ensembles, fine analyses in frequency domain) is advised for future SLV studies.