Forecasting Tropical Annual Maximum Wet‐Bulb Temperatures Months in Advance From the Current State of ENSO

Author:

Zhang Yi123ORCID,Boos William R.14ORCID,Held Isaac5,Paciorek Christopher J.6,Fueglistaler Stephan47ORCID

Affiliation:

1. Department of Earth and Planetary Science University of California Berkeley CA USA

2. Miller Institute for Basic Research in Science University of California Berkeley CA USA

3. Now at Courant Institute of Mathematical Sciences New York University New York NY USA

4. Climate and Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA USA

5. Program in Atmospheric and Oceanic Sciences Princeton University Princeton NJ USA

6. Department of Statistics University of California Berkeley CA USA

7. Department of Geosciences Princeton University Princeton NJ USA

Abstract

AbstractHumid heatwaves, characterized by high temperature and humidity combinations, challenge tropical societies. Extreme wet‐bulb temperatures (TW) over tropical land are coupled to the warmest sea surface temperatures by atmospheric convection and wave dynamics. Here, we harness this coupling for seasonal forecasts of the annual maximum of daily maximum TW (TWmax). We develop a multiple linear regression model that explains 80% of variance in tropical mean TWmax and significant regional TWmax variances. The model considers warming trends and El Niño and Southern Oscillation indices. Looking ahead, the strong‐to‐very‐strong El Niño at the end of 2023, with an Oceanic Niño Index of ∼2.0, suggests a 2024 tropical land mean TWmax of 26.2°C (25.9–26.4°C), and a 68% chance (24%–94%) of breaking existing records. This method also predicts regional TWmax in specific areas.

Publisher

American Geophysical Union (AGU)

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