Recent SI Prediction Activities at IRI - PowerPoint PPT Presentation

1 / 14
About This Presentation
Title:

Recent SI Prediction Activities at IRI

Description:

Climate Predictability Tool (CPT) is an easy-to-use Windows-based software ... ODA has large salinity drift due to mistreatment of fresh water flux ... – PowerPoint PPT presentation

Number of Views:62
Avg rating:3.0/5.0
Slides: 15
Provided by: ousm
Category:

less

Transcript and Presenter's Notes

Title: Recent SI Prediction Activities at IRI


1
Recent S/I Prediction Activities at IRI
2
IRI Climate Predictability Tool (CPT)
  • Simon Mason

3
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.
4
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.
5
Comparison of Coupled and Uncoupled Simulations
on Simulation of Indian Monsoon Precipitation
  • Andrew Robertson
  • Vincent Moron
  • David DeWitt

6
Effect of Coupling on Simulated Indian Summer
Monsoon
coupled
uncoupled
correlations () with CPC GSOD daily rainfall
amount 19802003
7
Effect of Coupling on Simulated Indian Summer
Monsoon
obs daily rainfall frequency
coupled
uncoupled
correlations () with CPC GSOD 19802003
8
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)

9
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)

10
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)

11
Enhanced Predictive Skill by Selective Coupling
  • Dong Eun Lee
  • David DeWitt

12
Feedback Parameters
Ensemble mean ECHAM 1st month lead forecast
NCEP/NCAR Reanalysis
(Wm-2K-1)
13
Off-line SST prediction model
ECHAM forecast 24 ensemble
surface wind velocity, cloud fraction
wind stresses for Ekman effects
Seager ATM
Latent, sensible heat fluxes and long wave
radiation
SST
Ocean Mixed Layer Fixed MLD at mean annual cycle
(Levitus94) Climatological dynamics through flux
correction
14
Seager heat flux
1st mon Lead
1st mon Lead
Write a Comment
User Comments (0)
About PowerShow.com