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@article{Sparks:2020:10.1038/s43247-020-00033-2,
author = {Sparks, N and Toumi, R},
doi = {10.1038/s43247-020-00033-2},
journal = {Communications Earth & Environment},
title = {Pacific subsurface ocean temperature as a long-rangepredictor of South China tropical cyclone landfall},
url = {http://dx.doi.org/10.1038/s43247-020-00033-2},
volume = {1},
year = {2020}
}

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TY  - JOUR
AB  - Seasonal forecasts of the tropical cyclones which frequently make landfall along the densely populated South China coast are highly desirable. Here, we analyse observations of landfalling tropical cyclones in South China and of subsurface ocean temperatures in the Pacific warm pool region, and identify the possibility of forecasts of South China tropical cyclone landfall a year ahead. Specifically, we define a subsurface temperature index, subNiño4, and build a predictive model based on subNiño4 anomalies with a robust double cross-validated forecast skill against climatology of 23%, similar in skill to existing forecasts issued much later in the spring. We suggest that subNiño4 ocean temperatures precede the surface El Niño/Southern Oscillation state by about 12 months, and that the zonal shifts in atmospheric heating then change mid-level winds to steer tropical cyclones towards landfall in South China. We note that regional subsurface ocean temperature anomalies may permit atmospheric predictions in other locations at a longer range than is currently thought possible.
AU  - Sparks,N
AU  - Toumi,R
DO  - 10.1038/s43247-020-00033-2
PY  - 2020///
SN  - 2662-4435
TI  - Pacific subsurface ocean temperature as a long-rangepredictor of South China tropical cyclone landfall
T2  - Communications Earth & Environment
UR  - http://dx.doi.org/10.1038/s43247-020-00033-2
UR  - http://hdl.handle.net/10044/1/83505
VL  - 1
ER  -

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