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  • Copernicus Marine Environnement

    Monitoring Service (CMEMS)

    regional reanalyses

    19/05/2016 C3S Regional Reanalysis Workshop, Reading 1

    Jonathan Beuvier, Marie Drvillon, Karina von Schuckmann,

    Gilles Garric, Yann Drillet, Pierre-Yves Le Traon

    Mercator Ocan, Ramonville Saint-Agne, France

  • OUTLINE

    2

    CMEMS organisation

    CMEMS Multi-Year Products (MYP)

    Ocean State Report (OSR), Ocean Monitoring Indices (OMI)

    Data reprocessing, a pre-requisite input for reanalyses

    Status of regional reanalyses in CMEMS

    Requirements for regional reanalyses forcings

    Mercator Ocan reanalyses

    Atmospheric forcings correction method for global reanalyses

    MEDRYS, a Mediterranean Sea regional reanalysis

    19/05/2016 2C3S Regional Reanalysis Workshop

  • Cliquez et modifiez le titre

    CMEMS technical internal Framework:

    building blocks

    Figure 1: System overview of Copernicus Marine Environment monitoring service chain as presented by the

    European Commission to the GMES/Copernicus User Forum.

    From the Technical Annex of the Delegation Agreement between the EU and Mercator Ocean

    319/05/2016 C3S Regional Reanalysis Workshop

  • CMEMS Multi-Year Products (MYP):

    CONTINUITY

    AIM:

    Maintain MYP time series close to real time 1 year before RT

    (long term goal: few month before RT)

    MOTIVATION:

    Guarantee for user delivery state-of-the-art operational MYP

    products and services

    Develop a robust basis for annual ocean state reporting

    CHALLENGE:

    Operational production of MYP close to RT

    419/05/2016 C3S Regional Reanalysis Workshop

  • CMEMS MYP: Ocean monitoring

    and reporting: 2 fundamental toolsCMEMS Ocean State Report (OSR)

    CMEMS Ocean Monitoring Indicators (OMIs)

    Operational time series which allow a regular

    monitoring of the ocean state, variability and change at

    global and European scale from 1992 up to RT,

    together with a quality description and scientific context

    519/05/2016 C3S Regional Reanalysis Workshop

  • CMEMS MYPConsistency DM/NRT, but not a

    priori optimized for climate

    applications

    Climate MYPClimate quality (consistency and

    homogeneity), but cannot answer

    operational MYP requirements

    1 2

    PRIORITIES for OCEAN MONITORING INDICATORS

    CMEMS OMI* from MYP

    Climate quality & state-of-the-art

    merge these two

    philosophies on the long-term

    *OMI: Ocean Monitoring Indicator

    &1 2

    CMEMS MYP: Ocean monitoring

    and reporting

    6619/05/2016 C3S Regional Reanalysis Workshop

  • Cliquez et modifiez le titre

    In situ T(z), S(z) mainly for data assimilation (but also velocity

    from drifters, elevations from tide gauges etc)

    Sea level anomalies from satellite altimetry

    SST

    Sea ice concentration, drift, thickness

    Winds

    Reprocessing of observations done by CMEMS TACs:

    a pre-requisite

    7719/05/2016 C3S Regional Reanalysis Workshop

  • IN SITU reprocessing : main input for

    3D ocean data assimilation

    1950 1970 1990 2010

    ___ XBT V1 V2___ MBT___ CTD___ Profilers___ ondulating CTD and Sea Mammals___ others

    including EN4 and NATO declassified observations

    819/05/2016 C3S Regional Reanalysis Workshop

  • Ocean basins in situ sampling

    rates

    Ocean reanalysis in the Southern oceans is still a challenge

    919/05/2016 C3S Regional Reanalysis Workshop

  • Cliquez et modifiez le titre

    Altimetry: important input for ocean RANUse of all the altimeter missions available from end 1992, up to now: 10 altimeter missions (+2 futures) ~75

    cumulative years of altimeter measurements to process

    1019/05/2016 C3S Regional Reanalysis Workshop

  • Cliquez et modifiez le titre

    CMEMS regional ocean RANs statusMFC (productioncenter)

    Model (horresolution)

    Data assimilation

    Period currentlycovered

    Surface forcing (horresolution)

    Rivers IC/BC

    ARC (NERSC) HYCOM V2.2.12 DeterministicEnKFSST, T(z), S(z), Atlimetry, Iceconcentration

    1991-2014 ERA interim (~80km, 6h / 3h for SW)

    Monthlyclim

    clim

    BAL (SMHI)(2017)

    NEMO V3.6 (~3.7 km)

    3DEnVARSST, T(z), S(z), icecharts

    1992-2014 EURO4M (~22km, 6h) EHYPE GLO RAN/clim

    IBI (MO/PdE)

    NEMO V2.3 (~9km) SEEK SAM2V2 + 3DVAR biascorrectionSST, T(z), S(z), Atlimetry

    2002-2014 ERA interim (~80km, 3h) Ifremer + EHYPE

    GLO RAN

    MED (INGV) NEMO V3.4 OceanVAR3DVARSST, T(z), S(z), Atlimetry

    1987-20141955-2014

    ERA interim (~80km, 6h)AMIP (~130km, 12h)

    Monthlyclim

    Clim/GLO RT

    NWS (UKMO)

    NEMO FOAM AMM7 V1 (~7 km)

    NEMOVAR 3DVARSST

    1985-2014 ERA interim (~80km, 3h) EHYPE Clim/GLO RAN (UKMO) and BAL IOW GETM

    GLO (MO) NEMO V3.1 (~25 km) SEEK + 3DVAR bias correctionSST, T(z), S(z), Atlimetry, Iceconcentration

    1992-2014 ERA interim (~80km, 3h) Monthlyclim

    Clim

  • Cliquez et modifiez le titre

    All have biogeochemistry component, MED MFC is the most

    advanced in BGC data assimilative RAN

    Ensembles of RAN -> NWS MFC, GLO MFC

    Good to know

    121219/05/2016 C3S Regional Reanalysis Workshop

  • Status of multi year products MED

    NEMO3.4

    Data assimilationOCEANVAR

    OGSTM-BFM4.0

    Data assimilation3DVAR

    Assimilated variable: chlaOC_L3_REP_OBS_009_073

    Forcing and boundaries:- ECMWF ERAinterim/AMIP- Climatological river runoff- ERAInterim

    precipitation/CMAP precipitation

    - Atlantic BCs from PSY3 global model

    Assimilated variables: T, S, SLASLA_L3_REP_OBS_008_020 [008_19], MEDATLAS, SEADATANET, INSITU_OBS_013_035 (Argo-XBT-CTD)

    Forcing and boundaries- Climatological river discharges- Atlantic BCs from MEDATLAS- Atm forcing from literature

    CMEMS products

    CMEMS-MED-MFC V2 reanalysis: model setup and products

    PHYS BIO

    1955

    1960

    1970

    1980

    1987

    1988

    1989

    1990

    1991

    1992

    1993

    1994

    1995

    1996

    1997

    1998

    1999

    2000

    2001

    2002

    2003

    2004

    2005

    2006

    2007

    2008

    2009

    2010

    2011

    2012

    2013

    2014

    REAN-PHYS-006-004

    REAN-PHYS-006-009

    REAN-BIO-006-008

    Satellite SST (surface flux nudging):GOS-CNR-SST-HR-RAN/DT-MEDITERRANEAN SST_MED_SST_L4_NRT_OBSERVATIONS_010_004_a/HadSST1

  • Multi Model Ensemble Multi Year ProductCourtesy of I. Golbeck BSH

    MME MYP single MYPsspatial coverage

    IBIRYSV1: will provide a larger domain

    We need at least 3 MYP in the same area.

  • MME - MYP

    SST mean standarddeviation for 2011

  • Cliquez et modifiez le titre

    Spatial resolution

    ~20 km

    Time resolution

    hourly if possible

    Parameter list:

    most make use of CORE BULK: if flux formulation used:

    2-m air temp total, solar and non-solar heat flux (accumulated)

    2-m specific humidity SST used to compute the heat fluxes

    10-m wind components (u and V) wind stress components (tauU and tauV)

    air pressure at sea level air pressure at sea level

    total cloudiness water flux components (evaporation, precipitation, snow)

    downward shortwave radiation (accumulated)

    downward longwave radiation (accumulated) need of fluxes as balanced as possible (especially for semi-

    total precipitation (accumulated) enclosed basins)

    snow precipitation (accumulated)

    Provide uncertainty estimates -> sensitivity studies, ensembles

    For winds: can be estimated with CMEMS OSI TAC

    Double penalty effects with high resolution?

    Ensemble atsmopheric reanalyses to build ensemble oceanic reanalyses and multi-model ensembles

    River runoff data:

    need of long-term datasets to be used instead of climatologies

    General requirements for atmospheric forcing

    for regional oceanic RAN

    Also true for future GLO 1/12 RAN!

    161619/05/2016 C3S Regional Reanalysis Workshop

  • SSS

    model Levitus98 climatologyRainfalls ERAInterim PMWC

    (2002-2006)

    SST spatial errors structures

    SST (2002)model RTG

    Downward SW Flux 2002 ERAinterim - GEWEX

    SSS spatial errors structures

    Devpt method to correct SW, LW & Precipitations Large Scale ERA-Interim Fluxes with GEWEX SRB and PMWC

    Forcings corrections: background

    1719/05/2016 C3S Regional Reanalysis Workshop

  • ERAI : monthly mean

    Climatology

    Satellite: monthly

    mean Climatology

    Climatology of

    corrective factor

    Daily ERAI field:

    large scalex

    Daily ERAI: small

    scale

    Daily Corrected ERAI

    large scale+

    Daily Corrected ERAI field

    The correction is local (i,j).

    Large scales correction only.

    Gewex SRB climatology (1999-2007) for SW & LW

    fluxes.

    PMWC Climatology (1992-2006) for rainfalls fluxes.

    No correction at high latitudes (> 65N and < 60S)

    No correction for climatology < 1W.m-2

    or

  • The example of the MEDRYS reanalysis

    More climate-oriented regional reanalysis :

    use of dedicated tools (numerical model, forcings, data assimilation

    system settings) for the Mediterranean Sea

    to have the more consistent and the more interannual as possible

    lateral forcings (Atlantic boundary conditions, atmospheric forcings,

    river runoffs) with the same characteristics all along the simulated

    period

    configurations closed to Regional Climate System Models (RCSM)

    Work done in the frame of the MISTRALS (Mediterranean

    Integrated STudies at Regional And Local Scales) and Med-

    CORDEX (Mediterranean contribution to the Coordinated

    Regional Climate Downscaling Experiment) international

    programs.

    191919/05/2016 C3S Regional Reanalysis Workshop

  • Regional oceanic configuration:

    NEMO-MED12 model

    20

    NEMO v3.1 code (Mercator oper

    version at Mto-France HPC)

    Horizontal grid from ORCA12 at

    6-8 km < Rossby deformation

    radius ~10-15 km

    (eq. to a 1/14-1/18 regular grid)

    Z vertical grid with 75 levels (1m

    to 135m thickness)

    New high resolution bathymetry

    (MERCATOR-LEGOS v10

    product at 1/120 resolution)

    Closed boundary at 11W

    -11 -7.5

    -6

    Atlantic buffer zone :

    Newtonian dampings to ORAS4 monthly anomalies

    with following time scales :

    and S (3D) : between 2 days -> 90 days

    SSH : between 1.7 second -> 90 days

    Bathymetry (m)

    2019/05/2016 C3S Regional Reanalysis Workshop

  • Atmospheric forcings, initial and

    boundary conditions

    21

    Free simulation starting in October 1979 from Medatlas-1979 (Rixen et al., 2005) in the Mediterranean side and from WOA05 (Levitus et al., 2005) in the Atlantic side.

    The reanalysis starts from the state of the free run on the 30th September 1992

    (beginning of the altimetry era).

    33 main rivers + Black Sea (interannual datasets from Ludwig et al., 2009 and Stanev &

    Peneva, 2002): freshwater added as precipitation at mouth points + coastal runoff

    (residual land-surface freshwater budget).

    12-km and 3h-atmospheric fluxes from ALDERA

    (CNRM), dynamical downscaling of the ERA-Interimreanalysis with ALADIN-Climate (Herrmann et al. 2011).

    SST retroaction for the free run (Barnier et al. 1995),

    coefficient of -40 W/m/K (CLIPPER Project 1999).

    The total heat flux of the free run is used for the

    reanalysis (including the retroaction term).

    No SSS damping, 2D water flux correction in the water flux.

    Topography of ALADIN-Climate

    2119/05/2016 C3S Regional Reanalysis Workshop

  • Regional oceanic reanalyses MEDRYS1

    22

    Ocean model:

    NEMOMED12v75 model, ALDERA forcing

    Observations:

    In-situ (Coriolis CORA4.0/CORA4.1 database) and satellite

    data (SST AVHRR-AMSR and SLA from SALTO/DUACS)

    Data assimilation scheme(Lellouche et al., 2013)

    3DVAR correction

    at large space- and time-scale

    multivariate multidata

    SEEK filter algorithm

    + Tbias(k)

    Control Space

    SSH

    T(k)

    S(k)

    Modal Space(Reduced Space)

    3D modesacting on 3D space

    SEEKAnalysis

    U(k)

    V(k)

    + SSHbias

    + Sbias(k)

    One analysis per several days

    (7-day/5day cycle)

    + no shock thanks to

    repartition of the anaylsis

    correction over the week

    MEDRYS1V1 MEDRYS1V2

    2219/05/2016 C3S Regional Reanalysis Workshop

  • Experimental design for MEDRYS1 reanalyses

    23

    MEDRYS1V2

    2319/05/2016 C3S Regional Reanalysis Workshop

  • 24

    Added value of the high-resolution in ALDERA

    ALADIN-150km

    ALADIN-50km

    ALADIN-12km

    (ALDERA)

    Wind and heat flux on the 14th March 2013 Wind direction and speed on the 16th September 2012

  • 25

    Need of fluxes giving balanced budgets(from Hamon et al. 2016)

    Heat flux components

    Water flux components

  • Any questions?

    26

    Thank you for your attention!

    19/05/2016 C3S Regional Reanalysis Workshop, Reading

  • Statistics on assimilated data: SLA

    27

    MEDRYS1V1 MEDRYS1V2

    6.5cm

    5.0cm

    -0.8cm -0.7cm

  • Statistics on assimilated data: SST

    28

    MEDRYS1V1 MEDRYS1V2

    0.74C0.57C

    -0.060C -0.026C

  • Statistics on assimilated data: in-situ

    29

    MEDRYS1V1 MEDRYS1V21993

    -1000

    -500

    -200

    -2000

    2013

    0

    -1000

    -500

    -200

    0

    1993 2013

    -2000

    1993 2013

    1993 2013

    Temperature

    Salinity

  • Monthly heat and salt contents

    3010/02/2016

    (courtesy G. Jorda for the IMEDEA construction)

    S3D[600m-bottom]

    T3D[0-150m] S3D[0-150m]

    T3D[600m-bottom]

    T3D[150-600m] S3D[150-600m]