WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain

Slides:



Advertisements
Similar presentations
The new German project KLIWEX-MED: Changes in weather and climate extremes in the Mediterranean basin Andreas Paxian, University of Würzburg MedCLIVAR.
Advertisements

Data assimilation in the ocean
Improved CanSIPS Initialization from Offline CLASS Simulation and Data Assimilation Aaron Berg CanSISE Workshop.
Adeline Bichet, Lawrence Mudryk, Paul Kushner, Chris Derksen
Mercator Ocean activity
Regional climate change over southern South America: evolution of mean climate and extreme events Silvina A. Solman CIMA (CONICET-UBA) Buenos Aires ARGENTINA.
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.
Clima en España: Pasado, presente y futuro Madrid, Spain, 11 – 13 February 1 IMEDEA (UIB - CSIC), Mallorca, SPAIN. 2 National Oceanography Centre, Southampton,
Atmospheric Reanalyses Update Mike Bosilovich. ReanalysisHoriz.ResDatesVintageStatus NCEP/NCAR R1T present1995ongoing NCEP-DOE R2T present2001ongoing.
Task: (ECSK06) Regional downscaling Regional modelling with HadGEM3-RA driven by HadGEM2-AO projections National Institute of Meteorological Research (NIMR)/KMA.
LMDZ-régional, jusqu’où iras-tu? (A few examples using LMDZ to study regional climate) (What can we expect from LMDZ for regional climate studies?) Laurent.
Richard P. Allan 1 | Brian J. Soden 2 | Viju O. John 3 | Igor I. Zveryaev 4 Department of Meteorology Click to edit Master title style Water Vapour (%)
Changes in Mediterranean Sea water cycle and implications for water mass characteristics CIRCE – WP5.4 Annarita Mariotti, ENEA and ESSIC Did somebody say.
© Crown copyright Met Office Climate Projections for West Africa Andrew Hartley, Met Office: PARCC national workshop on climate information and species.
Simulation of the second half of the 20th Century using the MGO AGCM P.V. Sporyshev, V.P. Meleshko, T.V. Pavlova Voeikov Main Geophysical Observatory,
The ELDAS system implementation and output production at Météo-France Gianpaolo BALSAMO, François BOUYSSEL, Jöel NOILHAN ELDAS 2nd progress meetin – INM.
Collaborative Research: Toward reanalysis of the Arctic Climate System—sea ice and ocean reconstruction with data assimilation Synthesis of Arctic System.
NACLIM CT1/CT3 1 st CT workshop April 2013 Hamburg (DE) Johann Jungclaus.
Reanalysis: When observations meet models
Introduction to CMUG assessments, SST and plans for phase 2 Roger Saunders 4 th Integration Meeting.
WP3.10 Cross-assessment of CCI-ECVs over the Mediterranean domain.
On Recent Research Developments at NC State University Relevant to the MSU NSF Biocomplexity Project ‘An Integrated Analysis of Regional Land- Climate.
Scientific Advisory Committee Meeting, November 25-26, 2002 Dr. Daniela Jacob Regional climate modelling Daniela Jacob.
Oceanic forcing of Sahel rainfall on interannual to interdecadal time scales A. Giannini (IRI) R. Saravanan (NCAR) and P. Chang (Texas A&M) IRI for climate.
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.
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.
RT5, WP5.2 : Evaluation of processes and phenomena Objectives : Analyse the capability of the models to reproduce and predict the major modes of variations.
Inverse Barometer correction comparison for Envisat mission between Corrections based on JRA-55 and ERA-Interim atmospheric reanalyses The JRA-55 correction.
The Mediterranean Forecasting INGV-Bologna.
Page 1© Crown copyright 2004 The Uses of Marine Surface Data in Climate Research David Parker, Hadley Centre, Met Office MARCDAT-2, Met Office, Exeter,
To clarify, coordinate and synthesize research devoted to achieve a better understanding of ENSO diversity, including: surface and sub-surface characteristics,
1 Changes in global net radiative imbalance Richard P. Allan, Chunlei Liu (University of Reading/NCAS Climate); Norman Loeb (NASA Langley); Matt.
Decadal Variability in the Southern Hemisphere Xiaojun Yuan 1 and Emmi Yonekura 2 1 Lamont-Doherty Earth Observatory Columbia University 2 Department Environment.
Towards downscaling oceanic hydrodynamics - Suitability of a high-resolution OGCM for describing regional ocean variability in the South China Sea 针对海洋水动力的降尺度.
Incorporating Satellite Time-Series data into Modeling Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Topics: Models, Satellite, and In.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
The validation and user assessment of the SL-CCI products has been performed through: - Internal consistency check and comparison with in-situ data. -
ESA Climate Change Initiative Sea-level-CCI project A.Cazenave (Science Leader), G.Larnicol /Y.Faugere(Project Leader), M.Ablain (EO) MARCDAT-III meeting.
Dry Troposphere Correction comparison for Jason-2 mission between the JRA55-based and the ERA-Interim-based corrections The JRA55-based correction is referred.
Equatorial Atlantic Variability: Dynamics, ENSO Impact, and Implications for Model Development M. Latif 1, N. S. Keenlyside 2, and H. Ding 1 1 Leibniz.
Developing a climate prediction model for the Arctic: NorCPM
Climate Change Climate change scenarios of the
ALADIN / HIRLAM 19th Workshop / All-Staff Meeting Utrecht, May 2009
Climate and Global Dynamics Laboratory, NCAR
Towards a new reanalysis with the IPSL climate model
McTaggart-Cowan et al. (2015)
Current changes in Earth’s energy budget
Assimilating ocean colour and other marine ECVs
Global hydrological forcing: current understanding
Laurent Li Laboratoire de Météorologie Dynamique, IPSL/CNRS, Paris
Panel: Bill Large, Bob Weller, Tim Liu, Huug Van den Dool, Glenn White
Workshop 1: GFDL (Princeton), June 1-2, 2006
Y. Xue1, C. Wen1, X. Yang2 , D. Behringer1, A. Kumar1,
Asha Vijayeta & Dietmar Dommenget
Understanding Current Observed Changes in the Global Water Cycle
WP4.1 : Exploiting CCI products in CMIP like experiments
SSH CCI-product assessment
New energy budget estimates at top of Earth’s atmosphere and surface
CMUG Assessments of CCI CDRs
New energy budget estimates at top of Earth’s atmosphere and surface
An Approach to Enhance Credibility of Decadal-Century Scale Arctic
66-SE-CMEMS-CALL2: Lot-3 Benefits of dynamically modelled river discharge input for ocean and coupled atmosphere-land-ocean systems Hao Zuo, Fredrik Wetterhall,
Development of an advanced ensemble-based ocean data assimilation approach for ocean and coupled reanalyses Eric de Boisséson, Hao Zuo, Magdalena Balmaseda.
WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain
Department of Geological and Atmospheric Sciences
Decadal Climate Prediction at BSC
Vladimir S. Platonov, Mikhail I. Varentsov
CURRENT Energy Budget Changes
Presentation transcript:

WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain Recent progresses: Extension of the confrontation with CCI-Sea level over the Mediterranean area : analysis of three coupled regional simulations (CNRM-RCSM, LMDZ-MED, MORCE-MED) and one Mediterranean Sea simulation (MED12) from the Med-Cordex multi-model ensemble. Communication of results at the 9th HyMeX Workshop, (Mykonos, 21-25 September, 2015). Submission of a publication entitled: « Improving the representation of Mediterranean sea level in regional climate models » (Adloff et al.).

Regional models over the Mediterranean domaine: the two CNRM models CNRM-RCSM4 MED12 Atmosphere Ocean Ocean ALADIN-Climat ALDERA* ORAS4 Corrected with the mean annual cycle of the CCI-ECV Sea Level COMBINE The CNRM-RCSM4 model is a regional climate system model coupling the atmospheric component ALADIN-Climat and the Mediterranean Sea component NEMOMED8 (resolution of 1/8°). The MED12 model is a new version of the NEMOMED Mediterranean sea model at a resolution of 1/12°. ALDERA results from the dynamical downscaling of ERA-interim usind the ALADIN-Climat model. The COMBINE ocean reanalysis used for the relaxation of the ocean component in the Atlantic buffer-zone doesn’t include satellite data assimilation. ORAS4 includes satellite data assimilation (AVISO) and is here corrected with the mean annual cycle of the CCI-ECV Sea Level over the 1993-2010 period (underestimated in ORAS4). NEMOMED8 NEMOMED12 Relaxation in the Atlantic buffer zone towards ocean reanalyses (COMBINE and corrected ORAS4)

Mean seasonal cycle of Mediterranean sea level over the period 1993-2010 (mm/yr) The ensemble of sea level datasets for comparison (grey shading labelled « OBS-REANA ») include: the CCI-ECV ; the ORAS4 global ocean reanalysis (Balmaseda et al., 2013) and two Mediterranean sea level reconstructions (Meyssignac et al., 2009; Calafat et al., 2011) 5 Adloff et al., 2016

Correlation between detrended time series and CCI_ECV 1993-2008 Correlation on detrended timeseries with CCI-ECV for the common period 1993-2008. Adloff et al., 2016

Trends of sea surface height anomalies over the period 1993-2010 (mm/yr) Trends of SSH anomalies over the 1993-2010 period (in mm/yr). Results from the RCSM4 model (top) are diagnosed from the free surface model calculation. They are compared with SSH CCI SSH (bottom). Adloff et al., 2016

WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain Some conclusions: The Mediterranean mean sea level is strongly influenced by the Atlantic conditions and thus the quality of the information in the lateral boundary conditions is crucial for the good modelling of Mediterranean sea level. The regional differences inside the basin that are induced by circulation changes are model-dependent and are not affected by the LBC. Correct Atlantic conditions from global circulation models should be used to project future Mediterranean sea level change. The error estimate of regional CCI sea level trends (3mm/year) seems overestimated.

WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain Future plans: Complete the analyse of the performances of the models by confronting the mean, the variability and the trends of a subset of variables inferred from the CCI-ECVs and from the simulations (Aerosols, soil moisture, SST) Analyse the consistency between different ECVs through the analysis of a climate specific event: possibly the 2006 heat wave.