An El-Nino prediction system using an intermediate ocean and a statistical atmosphere

Geophysical Research Letters

Volumn 27, Issue 8, 2000, Pages 1167-1170

  Kang, I S ^a   Kug, J S ^a  

^a Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

EL NINO; FORECASTING METHOD; PREDICTION;

ATMOSPHERIC TEMPERATURE; CLIMATE CHANGE; OCEANOGRAPHY; STATISTICAL METHODS;

EL NINO PREDICTION SYSTEM; STATISTICAL ATMOSPHERE;

WEATHER FORECASTING;

EID: 0034352457     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/1999GL011023     Document Type: Article

References (13)

1. The role of zonal advection feedback in phase transition and growth of ENSO in Cane-Zebiak model
2. Dynamics and thermodynamics of a warming event in a coupled tropical atmosphere-ocean model
3. An improved coupled model for ENSO prediction and implication for ocean initialization. Part I: The ocean data assimilation system
4. Forecasting El Nino with a geophysical model
5. Prediction of El Nino events using a physical model. Atmosphere and Ocean Variability
6. An improved procedure for El-Nino forecasting: Implications for predictability
7. The impact of sea level data assimilation on the Lamont model prediction of the 1997/1998 El Nino
8. El Nino-La Nina events simulated with Cane and Zebiak's model and observed with satellite or in situ data. Part II: Model forced with observations
9. Sensitivity of an intermediate ocean-atmosphere coupled model of the tropical Pacific to its oceanic vertical structure
10. Predictability of a coupled ocean-atmosphere model
11. Decadal variability in ENSO predictability and prediction
12. Improved global sea surface temperature analysis using optimum interpolation
13. A model El Nino - Southern Oscillation