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Climate Diagnostics Bulletin
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About the Forecast Forum

ENSO Forecast Discussion

ENSO and SST Model Forecasts

Canonical Correlation Model
Nino 3.4 Region: Historical  F1
Nino 3.4 Region: 0-4 Season  F2

NCEP Coupled Model
Eq. Pac. SST & Anomalies  F3
Nino 3 & Nino 3.4 Region  F4

NCEP Markov Model
Eq. Pac. SST & Anomalies  F5
Nino 3.4 Region  F6

LDEO Model
Eq. Pac. SST & Wind Stress Anoms  F7
Nino 3 Region  F8

Linear Inverse Modeling
Global Tropical SST Anomalies  F9
Nino 3.4 Region: Historical  F10

ENSO-CLIPER Model
All Nino Regions & SOI  F11

IRI Compilation of Forecasts
Nino3.4 Region  F12


Forecast Forum

JULY 2019

EL NINO /SOUTHERN OSCILLATION (ENSO)

Forecast Forum

The canonical correlation analysis (CCA) forecast of SST in the central Pacific (Barnett et al. 1988, Science, 241, 192‑196; Barnston and Ropelewski 1992, J. Climate, 5, 1316‑1345), is shown in Figs. F1 and F2. This forecast is produced routinely by the Prediction Branch of the Climate Prediction Center. The predictions from the National Centers for Environmental Prediction (NCEP) Coupled Forecast System Model (CFS03) are presented in Figs. F3 and F4a, F4b.  Predictions from the Markov model (Xue, et al. 2000: J. Climate, 13, 849‑871) are shown in Figs. F5 and F6.   Predictions from the latest version of the LDEO model (Chen et al. 2000: Geophys. Res. Let., 27, 2585‑2587) are shown in Figs. F7 and F8.  Predictions using linear inverse modeling (Penland and Magorian 1993: J. Climate, 6, 1067‑1076) are shown in Figs. F9 and F10. Predictions from the ENSO‑CLIPER statistical model (Knaff and Landsea 1997, Wea. Forecasting, 12, 633‑652) are shown in Fig. F11.  Niño 3.4 predictions are summarized in Fig. F12, provided by the Forecasting and Prediction Research Group of the IRI.

The CPC and the contributors to the Forecast Forum caution potential users of this predictive information that they can expect only modest skill.

 

ENSO Alert System Status: Final El Niño Advisory

 

Outlook:

 

El Niño has transitioned to ENSO-neutral, which is most likely to continue through Northern Hemisphere winter 2019-20 (50-55% chance).

 

Discussion:  

 

During July, ENSO-neutral conditions were reflected by the combination of below-average sea surface temperatures (SSTs) in the eastern equatorial Pacific Ocean and above-average SSTs in the central Pacific (Fig. T18). The monthly ENSO indices were +0.9°C, +0.4°C, 0.1°C and -0.3°C in the Niño-4, Niño-3.4, Niño-3 and Niño-1+2 regions, respectively (Table T2). Upper-ocean subsurface temperatures (averaged across 180°-100°W) were near average throughout the month, as anomalously cool waters prevailed in the eastern Pacific and anomalously warm waters continued in the central Pacific (Fig. T17).  Suppressed tropical convection continued over Indonesia, while near-average convection was observed near the Date Line (Fig. T25).  Low-level wind anomalies were near average over the tropical Pacific Ocean (Fig. T20), and upper-level winds were easterly over the east-central Pacific (Fig. T21). The traditional and equatorial Southern Oscillation Indices remained slightly negative (Figs. T1, T2). Overall, oceanic and atmospheric conditions were consistent with a transition to ENSO-neutral. 

Forecasts of the Niño-3.4 index (Figs. F1-F12) favors ENSO-neutral (Niño-3.4 index between -0.5°C and +0.5°C), with index values greater than zero from late Northern Hemisphere summer into fall, warming closer to the El Niño threshold (+0.5°C) by winter. Atypically, dynamical models forecast weaker positive SST anomalies than statistical models throughout most of the forecast period.  As a result, while forecasters favor ENSO-neutral conditions, the odds of El Niño (~30%) are roughly twice that of La Niña for next winter. In summary, El Niño has transitioned to ENSO-neutral, which is most likely to continue through Northern Hemisphere winter 2019-20 (50-55% chance).

Weekly updates of oceanic and atmospheric conditions are available on the Climate Prediction Center homepage (El Niño/La Niña Current Conditions and Expert Discussions).      


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