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Recent S/I Prediction Activities at IRI

Recent S/I Prediction Activities at IRI

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Recent S/I Prediction Activities at IRI. IRI Climate Predictability Tool (CPT). Simon Mason. What is CPT?. Climate Predictability Tool (CPT) is an easy-to-use Windows-based software package for making downscaled seasonal climate forecasts. - PowerPoint PPT Presentation

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Page 1: Recent S/I Prediction Activities at IRI

Recent S/I Prediction Activities at IRI

Page 2: Recent S/I Prediction Activities at IRI

IRI Climate Predictability Tool (CPT)

• Simon Mason

Page 3: Recent S/I Prediction Activities at IRI

What is CPT?

Climate Predictability Tool (CPT) is an easy-to-use Windows-based

software package for making downscaled seasonal climate forecasts.

It runs on Windows 95+. A

source code version,

which has no GUI or any

of the graphics

capabilities, is available for

other platforms.

Page 4: Recent S/I Prediction Activities at IRI

What is CPT?

Specifically, CPT is designed to produce statistical forecasts of seasonal

climate using either the output from a GCM, or fields of sea-surface

temperatures.

The program

provides extensive

tests indicating

forecast

performance.

Page 5: Recent S/I Prediction Activities at IRI

Comparison of Coupled and Uncoupled Simulations on Simulation of Indian Monsoon

Precipitation

• Andrew Robertson

• Vincent Moron

• David DeWitt

Page 6: Recent S/I Prediction Activities at IRI

correlations (%) with CPC GSOD daily rainfall amount

1980–2003

coupled uncoupled

Effect of Coupling on Simulated Indian Summer Monsoon

Page 7: Recent S/I Prediction Activities at IRI

Effect of Coupling on Simulated Indian Summer Monsoon

correlations (%) with CPC GSOD 1980–2003

coupled uncoupled

obs daily rainfall frequency

Page 8: Recent S/I Prediction Activities at IRI

AGCM-Based Coupled Modeling at IRI

• Initial Coupled System:– ECHAM4.5-MOM3 Fully Coupled

COLA (Kirtman, Min) Provides ODA

Documented in:

Schneider et al. (2004)

DeWitt (2004)

DeWitt (2005)

DeWitt, Goddard, Li (In Preparation)

Page 9: Recent S/I Prediction Activities at IRI

Issues with Initial Forecast System

• ODA and OGCM are run at 2 different resolutions• ODA has large salinity drift due to mistreatment of

fresh water flux • ODA system not parallel and historic records are not

set up for operational usage.• Not apparent that direct coupling is best approach

despite fact that it is methodology employed by all operational centers

• Open question whether OGCM based systems are best tool to use for S/I forecasting– Computationally Expensive– Large systematic errors even in ocean only integrations

(diffuse thermocline)

Page 10: Recent S/I Prediction Activities at IRI

Development Path for Next Coupled Models

AGCM- ECHAM4.5

Ocean Models:

MOM4 –

Postdoc (Galanti)

New postdoc (to be hired)

KKZ – Multi-mode reduced gravity model

LDEO (State Dependent Bias Corrected Models)

CZ(K) ocean

INC ocean

MOM4

Thermodynamic Ocean Models (Donna Lee)

Page 11: Recent S/I Prediction Activities at IRI

Enhanced Predictive Skill by Selective Coupling

• Dong Eun Lee

• David DeWitt

Page 12: Recent S/I Prediction Activities at IRI

NCEP/NCAR ReanalysisEnsemble mean ECHAM 1st month lead forecast

Feedback Parameters

(Wm-2K-1)

Page 13: Recent S/I Prediction Activities at IRI

ECHAM forecast 24 ensemble

Ocean Mixed LayerFixed MLD at mean annual cycle (Levitus94)

Climatological dynamics through flux correction

Seager ATM

SSTLatent, sensible heat fluxesand long wave radiation

surface wind velocity,cloud fraction

Off-line SST prediction model

wind stressesfor Ekman effects

Page 14: Recent S/I Prediction Activities at IRI

1st mon Lead 1st mon Lead

Seager heat flux