Operational Models: Readiness Now · 2007. 6. 27. · Dateline California l i q u i d h w a t e r...

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PBL transports and clouds 3-2007 Martin Köhler 1 Operational Models: Readiness Now Martin Köhler, ECMWF with Hua-Lu Pan, NCEP and Shouping Wang, NRL observational data: EPIC DYCOMS-II GLAS cloud top GCSS Pacific Cross-Section ocean buoys AOSN field campaign (COAMPS) cloud vector winds QuikSCAT winds radiosonde winds SST for coupled GCMs model evaluation: (dt=12h to 10yr) the good q mix ± 0.5 g/kg θ l ± 0.5 K LWP ± 50 g/m 2 CC ± 10 % ΔT inv ± 2 K the bad SST ± 2 K u sfc + 1 m/s inv. height - 200 to 500m the unknown w ± 50% u 850 ± 2 m/s – drizzle ? – aerosols ?

Transcript of Operational Models: Readiness Now · 2007. 6. 27. · Dateline California l i q u i d h w a t e r...

  • PBL transports and clouds 3-2007 Martin Köhler 1

    Operational Models: Readiness NowMartin Köhler, ECMWF with Hua-Lu Pan, NCEP and Shouping Wang, NRL

    observational data:• EPIC• DYCOMS-II• GLAS cloud top• GCSS Pacific Cross-Section• ocean buoys• AOSN field campaign (COAMPS)• cloud vector winds• QuikSCAT winds• radiosonde winds• SST for coupled GCMs

    model evaluation: (dt=12h to 10yr)• the good

    – qmix ± 0.5 g/kg– θl ± 0.5 K– LWP ± 50 g/m2

    – CC ± 10 %– ΔTinv ± 2 K

    • the bad– SST ± 2 K– usfc + 1 m/s– inv. height - 200 to 500m

    • the unknown– w ± 50%– u850 ± 2 m/s– drizzle ?– aerosols ?

  • PBL transports and clouds 3-2007 Martin Köhler 2

    EPIC: Peruvian stratocumulus – model comparison

    EPIC obsNCAR CAM2.0GFDL AM2.10ECMWF 23r4NCEP

    Bretherton et al, BAMS 2004LWC [g/m3] qv [g/kg] θ [K]

  • PBL transports and clouds 3-2007 Martin Köhler 3

    Stratocumulus: EPIC column from 3D forecasts

  • PBL transports and clouds 3-2007 Martin Köhler 4

    Stevens et al 2007: DYCOMS vs ECMWF vs NCEP

  • Shouping Wang, NRL: COAMPS Forecast Statistics (East Pacific)

    COAMPS E_PAC Grid 2 (27km)Temperature June 2006

  • PBL transports and clouds 3-2007 Martin Köhler 6

    COAMPS E_PAC Grid 2 (27km)Wind Speed June 2006

    Shouping Wang, NRL: COAMPS Forecast Statistics (East Pacific)

    COAMPS E_PAC Grid 2 (27km)Relative Humidity June 2006

  • PBL transports and clouds 3-2007 Martin Köhler 7

    ECMWF vs GLAS observations: cloud top height

    SC top too low!

    GLAS cloud top heightGLAS strcu fraction

    ECMWF cloud top heightECMWF strcu fraction

    cloud top < 2km, cld > 80% Maike Ahlgrimm

  • PBL transports and clouds 3-2007 Martin Köhler 8

    Stevens et al 2007: DYCOMS vs ECMWF vs NCEP

    ECMWFNCEP

    Taylor diagram Divergence

    θPBL

    vPBL

    uPBLqPBL

    θ850

  • PBL transports and clouds 3-2007 Martin Köhler 9

    IMET buoy (Anton Beljaars & Bob Weller)T 2

    m [°

    C]

    q 2m

    [°C

    ]w

    ind

    [m/s

    ]

    EPIC

  • Field Bias RMS 3-km 9-km 3-km 9-km

    Temp. 0.93 0.79 1.56 1.60Speed 1.48 0.41 2.60 1.80Dir. 9.10 35.0 47.0 48.0

    AOSN field campaign in the vicinity ofMonterey Bay, California

    Shouping Wang, NRL: COAMPS vs 2 buoys off Monterey

  • PBL transports and clouds 3-2007 Martin Köhler 11

    ERA-40

    EquatorDateline

    California

    ARPEGE

    EquatorDateline

    California

    NCAR CAM3

    ECMWF

    EquatorDateline

    California

    liquid water [g/kg]

    0.30.150.080.040.030.020.010

    GCSS Pacific Cross-Section Intercomparisonpr

    essu

    re [h

    Pa]

    100200300400500600700800900

    1000

    GFLD AM2 NCEP

    JJA1998Joao Teixeira

    pres

    sure

    [hPa

    ]

    100200300400500600700800900

    1000

    HadGAM

    EquatorDateline

    California

    C. Hannay

  • PBL transports and clouds 3-2007 Martin Köhler 12

    Cloud cover against ISCCP D2

    CY32R3 - ISCCP

    ISCCP D2

  • PBL transports and clouds 3-2007 Martin Köhler 13

    ECMWF buoy verification

    model mean: 6.08 m/sbuoy mean: 6.12 m/sbias: -0.04 m/sRMSE: 1.12 m/scorrelation: 0.916

  • PBL transports and clouds 3-2007 Martin Köhler 14

    QuikSCAT winds: Bias and RMSE

    0 bias

    1.4 m/s

    Bia

    s [m

    /s]

    RM

    SE [m

    /s]

  • PBL transports and clouds 3-2007 Martin Köhler 15

    QuikSCAT winds

    bias=0.06m/s

    QuikSCAT=7.17m/s

  • PBL transports and clouds 3-2007 Martin Köhler 16

    GCSS Pacific Cross-section Project

    5.0m /s

    80°S80°S

    70°S 70°S

    60°S60°S

    50°S 50°S

    40°S40°S

    30°S 30°S

    20°S20°S

    10°S 10°S

    0°0°

    10°N 10°N

    20°N20°N

    30°N 30°N

    40°N40°N

    50°N 50°N

    60°N60°N

    70°N 70°N

    80°N80°N

    40°E

    40°E 60°E

    60°E 80°E

    80°E 100°E

    100°E 120°E

    120°E 140°E

    140°E 160°E

    160°E 180°

    180° 160°W

    160°W 140°W

    140°W 120°W

    120°W 100°W

    100°W 80°W

    80°W 60°W

    60°W 40°W

    40°W 20°W

    20°W 0°

    2003070100 - 2003073118, EXPVER = 0001

    Globe 2.76 N.Hem 2.5 Tropics 2.61 S.Hem 3.09 MIN 1.13 MAX 11.34

    Vector-wind difference (m/s) of QuikSCAT vs ECMWF FGAT for all flows

    0.5

    1

    1.5

    2

    2.5

    3

    4

    5

    6

    Equator

    sfc vector wind: QuikSCAT vs ECMWF FG

    Claire Delsol.

    V-Bias: METEOSAT-8, es6w: 20060205-20060208WVcloud1: N = 305328.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    WVcloud2: N = 345326.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    IR3: N = 404850.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    VIS2: N = 103229.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    VIS3: N = 286963.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    WVMV1: N = 58138.0

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    WVMV2: N = 83594.0

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    V-Bias: METEOSAT-8, es6w: 20060205-20060208WVcloud1: N = 305328.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    WVcloud2: N = 345326.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    IR3: N = 404850.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    VIS2: N = 103229.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    VIS3: N = 286963.

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    WVMV1: N = 58138.0

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    WVMV2: N = 83594.0

    -60 -40 -20 0 20 40 60Lat [deg]

    1000

    800

    600

    400

    200

    p [h

    Pa]

    -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5

    V-Bias: METEOSAT-8 vs ECMWF FG

    6.2 µm

    W500hPa BIAS

    0 2 4 6 8 10 12 14points: CA to EQ

    -0.05

    0.00

    0.05

    0.10

    BIA

    S [

    Pa/

    s]

    ECMWF 1d/5d forecastNCAR 1d/5d forecastUKMO 1d/5d forecast

    ITCZ

    W Bias at 500hPa U850hPa RMS error

    0 2 4 6 8 10 12 14points: EQ to CA

    0

    2

    4

    6

    RM

    SE

    [m

    /s]

    ECMWF 1d/5d forecastNCAR 1d/5d forecastUKMO 1d/5d forecast

    Hans Herbach

  • PBL transports and clouds 3-2007 Martin Köhler 17

    SE Pacific U-profilespr

    essu

    re [h

    Pa]

    pres

    sure

    [hPa

    ]

    -6 -4 -2 0 2U wind [m/s]

    -6 -4 -2 0 2U wind [m/s]

    Analysis 48h Forecast

    CY31R1

  • PBL transports and clouds 3-2007 Martin Köhler 18

    Cloud Vector Winds versus Radiosondes

    Ascencion & St. Helen French Pacific Islands

  • PBL transports and clouds 3-2007 Martin Köhler 19

    DEMETER CGCM Surface Temperature Bias [K]

    -6.0 -5.0 -4.0 -3.0 -2.0 -1.0 1.0 2.0 3.0 4.0 5.0 6.0

    Surface Temperature [o

    C]

    Forecast start dates: 05/1987-1996, FC period: months 4-6 (ASO), ens: 0-8

    Bias: EXP(ECMWF_assim) regarding ERA-40 reanalysis

    -6.0 -5.0 -4.0 -3.0 -2.0 -1.0 1.0 2.0 3.0 4.0 5.0 6.0

    Surface Temperature [o

    C]

    Forecast start dates: 05/1987-1995, FC period: months 4-6 (ASO), ens: 0-8

    Bias: EXP(UKMO) regarding ERA-40 reanalysis

    -6.0 -5.0 -4.0 -3.0 -2.0 -1.0 1.0 2.0 3.0 4.0 5.0 6.0

    Surface Temperature [ oC]

    Forecast start dates: 05/1987-1992, FC period: months 4-6 (ASO), ens: 0-8

    Bias: EXP(MPI) regarding ERA-40 reanalysis

    -6.0 -5.0 -4.0 -3.0 -2.0 -1.0 1.0 2.0 3.0 4.0 5.0 6.0

    Surface Temperature [o

    C]

    Forecast start dates: 05/1987-1994, FC period: months 4-6 (ASO), ens: 0-8

    Bias: EXP(CNRM) regarding ERA-40 reanalysis

    -6.0 -5.0 -4.0 -3.0 -2.0 -1.0 1.0 2.0 3.0 4.0 5.0 6.0

    Surface Temperature [o

    C]

    Forecast start dates: 05/1987-1994, FC period: months 4-6 (ASO), ens: 0-8

    Bias: EXP(LODYC) regarding ERA-40 reanalysis

    UKMO

    MPI

    MeteoFrance

    LODYC

    4-6 month forecasts Aug/Sep/Oct 1987-1996

    9 ensemble memberscomparison to ERA-40

    www.ecmwf.int/research/demeter

    ECMWF (ERA40 cycle)

  • PBL transports and clouds 3-2007 Martin Köhler 20

    coupled ECMWF-ERA40Surface temperature – years 3-4 of integration

    CY32R1: June 2007

    CY31R1: Sept 2006

    CY32R3: Fall 2007

    Antje WeisheimerENSEMBLES

    model cycle: impl. date

  • PBL transports and clouds 3-2007 Martin Köhler 21

    EC EARTH (ECMWF uncoupled) future 2XCO2 scenario

    Δ CC

    Standard model (cy31r1)

    Δ CC

    Enhanced top-entrainment model

    Pier Siebesma, KNMI

  • PBL transports and clouds 3-2007 Martin Köhler 22

    Operational Models: Readiness NowMartin Köhler, ECMWF with Hua-Lu Pan, NCEP and Shouping Wang, NRL

    observational data:• EPIC• DYCOMS-II• GLAS cloud top• GCSS Pacific Cross-section• ocean buoy• AOSN field campaign (COAMPS)• cloud vector winds• QuikSCAT winds• radiosonde winds• SST for coupled GCMs

    model evaluation: (dt=12h to 10yr)• the good

    – qmix ± 0.5 g/kg– θl ± 0.5 K– LWP ± 50 g/m2

    – CC ± 10 %– ΔTinv ± 2 K

    • the bad– SST ± 2 K– usfc + 1 m/s– inv. height - 200 to 500m

    • the unknown– w ± 50%– u850 ± 2 m/s– drizzle ?– aerosols ?