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Initialized Earth System prediction from subseasonal to decadal timescales
Abstract Initialized Earth System predictions are made by starting a numerical prediction
model in a state as consistent as possible to observations and running it forward in time for …
model in a state as consistent as possible to observations and running it forward in time for …
Fifty years of research on the Madden‐Julian Oscillation: Recent progress, challenges, and perspectives
Since its discovery in the early 1970s, the crucial role of the Madden‐Julian Oscillation
(MJO) in the global hydrological cycle and its tremendous influence on high‐impact climate …
(MJO) in the global hydrological cycle and its tremendous influence on high‐impact climate …
Advances in weather prediction
Weather forecasting provides numerous societal benefits, from extreme weather warnings to
agricultural planning. In recent decades, advances in forecasting have been rapid, arising …
agricultural planning. In recent decades, advances in forecasting have been rapid, arising …
The Subseasonal Experiment (SubX): A multimodel subseasonal prediction experiment
Abstract The Subseasonal Experiment (SubX) is a multimodel subseasonal prediction
experiment designed around operational requirements with the goal of improving …
experiment designed around operational requirements with the goal of improving …
The Pacific meridional mode and ENSO: A review
Abstract Purpose of Review This paper reviews recent progress in understanding of the
North Pacific Meridional Mode (NPMM) and its influence on the timing, magnitude, flavor …
North Pacific Meridional Mode (NPMM) and its influence on the timing, magnitude, flavor …
The influence of the quasi-biennial oscillation on the Madden–Julian oscillation
The stratospheric quasi-biennial oscillation (QBO) and the tropospheric Madden–Julian
oscillation (MJO) are strongly linked in boreal winter. In this Review, we synthesize …
oscillation (MJO) are strongly linked in boreal winter. In this Review, we synthesize …
A machine learning model that outperforms conventional global subseasonal forecast models
Skillful subseasonal forecasts are crucial for various sectors of society but pose a grand
scientific challenge. Recently, machine learning-based weather forecasting models …
scientific challenge. Recently, machine learning-based weather forecasting models …
Deep learning for bias correction of MJO prediction
Producing accurate weather prediction beyond two weeks is an urgent challenge due to its
ever-increasing socioeconomic value. The Madden-Julian Oscillation (MJO), a planetary …
ever-increasing socioeconomic value. The Madden-Julian Oscillation (MJO), a planetary …
Improving subseasonal‐to‐seasonal prediction of summer extreme precipitation over southern China based on a deep learning method
Abstract The reliable Subseasonal‐to‐Seasonal (S2S) forecast of precipitation, particularly
extreme precipitation, is critical for disaster prevention and mitigation, which however …
extreme precipitation, is critical for disaster prevention and mitigation, which however …
A systematic review of local to regional yield forecasting approaches and frequently used data resources
Forecasting crop yields, or providing an expectation of ex-ante harvest amounts, is highly
relevant to the whole agricultural production chain. Farmers can adapt their management …
relevant to the whole agricultural production chain. Farmers can adapt their management …