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Page 1© Crown copyright 2004 WP5.3 Assessment of Forecast Quality ENSEMBLES RT4/RT5 Kick Off Meeting, Paris, Feb 2005 Richard Graham
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Page 2© Crown copyright 2004 Met Office seasonal/multi-annual/decadal runs Model DePreSys (HadCM3) Current oper. range decadal assimilation method GloSea (HadCM3) later HadGEM Seasonal (6months) Conventional (OI type) calibrated anomalies 9-ensemble experiments 1991-2001 pert. ODA pert. phys. lagged avge pert. phys. lagged avge Hindcasts period: 1991 - 2001 GloSea: ->7m:1 st /15 th May/Nov 1 st June/Dec ->14m:1 st May/June/Nov/Dec -> 10y:1 st May 1964, 1994 DePreSys: -> 10y:1 st May/Nov (all years)
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Page 3© Crown copyright 2004 RT5.3 Analysis Main aim (18m): compare benefits of systems/methods Diagnostics/tools, seasonal-range Key variables: temperature, precipitation Investigate bias and predictability (as DEMETER, WMO SVS) Adapt score comparison suite from CGCM/AGCM study Focus: To what range is seasonal (3-month-mean) predictability feasible? Comparative skill for ‘extremes’ (outer quintile, decile) (overlap RT4 Stability with varying starts (1 st and 15 th of month) Compare skill against persistence (as well as climatology) Statistical significance Link to European Flood and Drought IP Multi-annual Adapt and apply assessment methods used for seasonal range How quickly does model converge with climatology? Look at skill for ‘slow’ variables: upper ocean heat content, THC, ENSO
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Page 4© Crown copyright 2004 Example: model comparison GloSea Vs HadAM3 ROC for outer quintile precip 1-month lead, JJA
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Page 5© Crown copyright 2004 Upper tercile Vs Upper quintile ROC score Skill for upper quintile, MAM Skill for upper tercile, MAM T2m precip T2m precip
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Page 6© Crown copyright 2004 CGCM forecast drift (SST) Met Office GloSea CGCM 15-member hindcasts to 6 month range start each month 1987 - 2001 SST in Niño regions (tropical Pacific) monthly climatology - Plot for multi-annual runs –upper ocean heat content intrinsic envelope?
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Page 7© Crown copyright 2004 Parameter Perturbations Convection Entrainment rate Intensity of mass flux Shape of cloud (anvils) Cloud water seen by radiation Radiation Ice particle size/shape Sulphur cycle Water vapour continuum absorption Boundary layer Turbulent mixing coefficients: stability- dependence, neutral mixing length Roughness length over sea: Charnock constant, free convective value Dynamics Diffusion: order and e-folding time Gravity wave drag: surface and trapped lee wave constants Gravity wave drag start level Land surface processes Root depths Forest roughness lengths Surface-canopy coupling CO2 dependence of stomatal conductance Sea ice Albedo dependence on temperature Ocean-ice heat transfer Large Scale Cloud Ice fall speed Critical relative humidity for formation Cloud droplet to rain: conversion rate and threshold Cloud fraction calculation
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