MJO Propagation Processes and Mean Biases in the SubX and S2S Reforecasts

Kim, Hyemi; Janiga, Matthew A.; Pegion, Kathy

doi:10.1029/2019JD031139

i

MJO Propagation Processes and Mean Biases in the SubX and S2S Reforecasts

2019
By Kim, Hyemi ; Janiga, Matthew A. ; Pegion, Kathy
Source Journal of Geophysical Research: Atmospheres, 124(16), 9314–9331

[PDF - 13.06 MB]

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Journal Title:

Journal of Geophysical Research: Atmospheres
Personal Author:

Kim, Hyemi ; Janiga, Matthew A. ; Pegion, Kathy
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office)
Description:

The Madden-Julian oscillation (MJO) is the leading source of global subseasonal predictability; however, many dynamical forecasting systems struggle to predict MJO propagation through the Maritime Continent. Better understanding the biases in simulated physical processes associated with MJO propagation is the key to improve MJO prediction. In this study, MJO prediction skill, propagation processes, and mean state biases are evaluated in reforecasts from models participating in the Subseasonal Experiment (SubX) and Subseasonal to Seasonal (S2S) prediction projects.
Keywords:
- Modeling, Analysis, Predictions, and Projections (MAPP) Program
Source:

Journal of Geophysical Research: Atmospheres, 124(16), 9314–9331
DOI:

https://doi.org/10.1029/2019JD031139
Document Type:

Journal Article
Funding:

Grant no. NA16OAR4310070
Rights Information:

Other
Compliance:

Submitted
Download URL:

https://repository.library.noaa.gov/view/noaa/36790/noaa_36790_DS1.pdf
File Type:

[PDF - 13.06 MB]
Collection(s):

Office of Oceanic and Atmospheric Research (OAR)
Main Document Checksum:

urn:sha256:387295d3c23b6eb2abea2d0536aff842987ed2c47e64658d1e33ef923c7e9f48

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