Skip to main navigation Skip to search Skip to main content

Multi-model MJO forecasting during DYNAMO/CINDY period

  • Xiouhua Fu
  • , June Yi Lee
  • , Pang Chi Hsu
  • , Hiroshi Taniguchi
  • , Bin Wang
  • , Wanqiu Wang
  • , Scott Weaver

Research output: Contribution to journalArticlepeer-review

97 Scopus citations

Abstract

The present study assesses the forecast skill of the Madden-Julian Oscillation (MJO) observed during the period of DYNAMO (Dynamics of the MJO)/CINDY (Cooperative Indian Ocean Experiment on Intraseasonal Variability in Year 2011) field campaign in the GFS (NCEP Global Forecast System), CFSv2 (NCEP Climate Forecast System version 2) and UH (University of Hawaii) models, and revealed their strength and weakness in forecasting initiation and propagation of the MJO. Overall, the models forecast better the successive MJO which follows the preceding event than that with no preceding event (primary MJO). The common modeling problems include too slow eastward propagation, the Maritime Continent barrier and weak intensity. The forecasting skills of MJO major modes reach 13, 25 and 28 days, respectively, in the GFS atmosphere-only model, the CFSv2 and UH coupled models. An equal-weighted multi-model ensemble with the CFSv2 and UH models reaches 36 days. Air-sea coupling plays an important role for initiation and propagation of the MJO and largely accounts for the skill difference between the GFS and CFSv2. A series of forecasting experiments by forcing UH model with persistent, forecasted and observed daily SST further demonstrate that: (1) air-sea coupling extends MJO skill by about 1 week; (2) atmosphere-only forecasts driven by forecasted daily SST have a similar skill as the coupled forecasts, which suggests that if the high-resolution GFS is forced with CFSv2 forecasted daily SST, its forecast skill can be much higher than its current level as forced with persistent SST; (3) atmosphere-only forecasts driven by observed daily SST reaches beyond 40 days. It is also found that the MJO-TC (Tropical Cyclone) interactions have been much better represented in the UH and CFSv2 models than that in the GFS model. Both the CFSv2 and UH coupled models reasonably well capture the development of westerly wind bursts associated with November 2011 MJO and the cyclogenesis of TC05A in the Indian Ocean with a lead time of 2 weeks. However, the high-resolution GFS atmosphere-only model fails to reproduce the November MJO and the genesis of TC05A at 2 weeks' lead. This result highlights the necessity to get MJO right in order to ensure skillful extended-range TC forecasting.

Original languageEnglish
Pages (from-to)1067-1081
Number of pages15
JournalClimate Dynamics
Volume41
Issue number3-4
DOIs
StatePublished - Aug 2013
Externally publishedYes

Funding

This work was sponsored by NOAA (NA11OAR4310096 & NA10OAR4310247), NSF (AGS-1005599) and by the Japan Agency for Marine-Earth Science and Technology (JAMSTEC), NASA, and NOAA through their supports of the IPRC. Additional supports are from APEC Climate Center and CMA project (GYHY201206016). We thank Dr. Matt Wheeler for sharing his codes to filter out MJO and equatorial waves in Fig. . This paper is SOEST contribution number 8961 and IPRC contribution number 992.

Keywords

  • Air-sea coupling
  • Atmosphere-only forecast
  • DYNAMO/CINDY field campaign
  • Extended-range TC forecasting
  • GFS, CFSv2, and UH global models
  • MJO forecasting skill
  • MJO-TC interactions

Fingerprint

Dive into the research topics of 'Multi-model MJO forecasting during DYNAMO/CINDY period'. Together they form a unique fingerprint.

Cite this