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Update on ECMWF forecast performance Thomas Haiden, Martin Janousek

Update on ECMWF forecast performance · 2016. 6. 7. · October 29, 2014 Summary 33 • Upper-air performance continues to increase • ECMWF maintains overall lead among global centres

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  • © ECMWF October 12, 2015

    Update on ECMWF forecast performance

    Thomas Haiden, Martin Janousek

  • October 29, 2014

    Contents

    2

    • Upper-air performance

    • Surface parameters

    • Model upgrade 2016 (cycle 41r2)

    • High-impact weather

    • Scale-dependence of skill

  • October 29, 2014

    Upper-air forecast skill

    3

  • October 29, 2014

    Upper-air forecast skill

    4

    ERA-Interim

    HRES

  • October 29, 2014

    Upper-air forecast skill

    5

    HRES - ERA-Interim

  • October 29, 2014

    Model intercomparison

    6

  • October 29, 2014

    Forecast skill: vertical correlation

    7

    Geer (2015)

    ← 500 hPa height

    850 hPa temperature →

  • October 29, 2014

    Upper-air ensemble forecast skill

    8

    𝐶𝑅𝑃𝑆𝑆 = 1 −𝐶𝑅𝑃𝑆𝐸𝑁𝑆𝐶𝑅𝑃𝑆𝐶𝐿𝐼𝑀

    60%

    40%

    25%

  • October 29, 2014

    Upper-air ensemble forecast skill

    9

    CRPS

    D+4

    D+6

    D+8

  • October 29, 2014

    Wave forecast: verification against buoys

    10

    Wave height Wind speed

  • October 29, 2014

    Wave height – model intercomparison

    11

    DJF 2015-16

  • October 29, 2014

    10 m wind speed

    12

    SDEV

    BIAS

    D+3

  • October 29, 2014

    2 m temperature

    13

    SDEV

    BIAS

    D+3

  • October 29, 2014

    2 m temperature bias at 00 UTC (DJF)

    14

    Winter 2014-15 Winter 2015-16

  • October 29, 2014

    Precipitation

    15

    Simbach, Germany, 2 June 2016

  • October 29, 2014

    Performance during individual events

    16

    Large-scale events that actually happened

  • October 29, 2014

    Headline score for HRES precipitation: SEEPS

    17

    Skill in discriminating

    between

    • Dry

    • Light

    • Moderate-to-

    heavy

    Adapted to local

    climatology

    HRES

  • October 29, 2014

    HRES precipitation

    18

    Skill in discriminating

    between

    • Dry

    • Light

    • Moderate-to-

    heavy

    Adapted to local

    climatology

    ERA-Interim

  • October 29, 2014

    HRES precipitation

    19

    Skill in discriminating

    between

    • Dry

    • Light

    • Moderate-to-

    heavy

    Adapted to local

    climatology

    DIFFERENCE

  • October 29, 2014

    HRES precipitation – other centres

    20

    Skill (ETS)

    Frequency

    bias

    D+5

    Extra-tropics

    Thr=10mm/24h

  • October 29, 2014

    ENS precipitation

    21

    CRPSS=10%

  • October 29, 2014

    ENS precipitation – other centres

    22

  • October 29, 2014

    Model upgrade in March 2016 (Cycle 41r2)

    23

    Nhem Shem Tropics Europe N-Atl N-Amer N-Pac E-Asia Aust/NZ Arctic Antarctic

    Upper-air: improvements 2-3%

    Surface: up to 5% in the medium range

  • October 29, 2014

    Improvements in surface parameters

    24

    uniform resolution

    HRES 10 m wind speed ENS 2 m temperature

  • October 29, 2014

    High-impact weather

    25

  • Monitoring of forecast skill for extremesTropical cyclones

    2m temperature 10m wind speed

    24-h precipitation

    Extreme forecast index (EFI), D+4

    D+3

    D+5

    Position

    Intensity

    Speed

    Position

    spread/error

  • Heavy precipitation

    ECMWF Newsletter 144 (Summer 2015)

    Largest gains in skill at days 4-7

  • October 29, 2014

    EFI for severe convection (CAPE, CAPESHEAR)

    28

    Verification against severe weather reports

    (tornadoes, large hail, severe wind gusts)

    Summer 2015, United States

    65%

    35%

  • October 29, 2014

    29

    Forecast skill horizon (schematic)

    ECMWF Newsletter No. 145 (2015)

  • October 29, 2014

    30

    Forecast skill horizon: 500 hPa geopotential

    Buizza and Leutbecher (2015)

    Temporal averaging →

    Spatial

    averaging

    T120 T30

    T7

  • October 29, 2014

    Precipitation verification against gridded data (NEXRAD)

    31

    Frequency bias (Oct 2014 – April 2015) Fractions skill score FSS (April - Aug 2014)

    16km16km

    …1 2 n

    i

    j

    Forecast Fn=5/25

    Observed On=3/25

    MSEn = (Fn-On)2

    FSS concept

  • October 29, 2014

    32

    Total cloud cover forecast skill

    ECMWF Newsletter No. 143 (2015)

  • October 29, 2014

    Summary

    33

    • Upper-air performance continues to increase

    • ECMWF maintains overall lead among global centres

    • Challenge of 2 m temperature biases

    • Significant improvements from Cycle 41r2

    • Increased focus on verification of high-impact weather

    • Forecast skill horizon: scale-dependent predictability

  • October 29, 2014

    34

    Deadline: 31 October 2016

    Price: Invited keynote and paid attendance at the

    7th International Verification Methods Workshop in

    May 2017 (Berlin, Germany)

  • October 29, 2014

    Model intercomparison DJF

    35

  • October 29, 2014

    Potential economic value of extreme wind forecasts

    36

    moderately

    strong

    extreme

    extreme and

    large-scale

    see also ECMWF Newsletter No. 139 (2014)

  • October 29, 2014

    EFI for severe convection (CAPE, CAPESHEAR)

    37

    Verification against severe weather reports

    (tornadoes, large hail, severe wind gusts)

    Summer 2015, United States

    65%

    35%

    I. Tsonevsky (2016)