MJO Prediction: Current Status and Future Challenges

Hyemi Kim, Frédéric Vitart, Duane E. Waliser

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

There has been a growing interest in forecasting the weather and climate within the sub-seasonal time range. The Madden–Julian oscillation (MJO), an organized envelope of tropical convection, is recognized as a primary source of sub-seasonal predictability. The MJO prediction skill in the dynamical forecast system has only recently exceeded the skill of empirical predictions. The improvement of MJO prediction in dynamical forecasting systems has been mainly due to more observations and computer resources, better data assimilation techniques, advances in theoretical understanding, and improved numerical models aided in part by multinational efforts through field campaigns and numerical model experiments. Nevertheless, estimates of the MJO predictability suggest that there is still considerable room for improvement. This paper synthesizes the progress that has been made in the past decade regarding our MJO prediction capabilities with dynamical prediction systems and our scientific understanding of its predictability, discusses the remaining challenges, and recommends new research avenues to improve the MJO prediction. This paper is a concise version of an extensive review on MJO prediction in Kim et al. (2018).

Original languageEnglish
Title of host publicationWorld Scientific Series on Asia-Pacific Weather and Climate
EditorsChih-Pei Chang, Kyung-Ja Ha, Richard H. Johnson, Daehyun Kim, Gabriel N.C. Lau, Gabriel N.C. Lau, Bin Wang
PublisherWorld Scientific
Pages289-299
Number of pages11
DOIs
StatePublished - 1 Feb 2021

Publication series

NameWorld Scientific Series on Asia-Pacific Weather and Climate
Volume11
ISSN (Print)2010-2763

Bibliographical note

Publisher Copyright:
© 2020 by World Scientific Publishing Co.

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