Informativeness of wind data in linear Madden–Julian oscillation prediction

Allen, Theodore L.; Mapes, Brian E.; Cavanaugh, Nicholas

doi:10.1002/asl.666

i

Informativeness of wind data in linear Madden–Julian oscillation prediction

2016
By Allen, Theodore L. ; Mapes, Brian E. ; Cavanaugh, Nicholas

Details

Journal Title:

Atmospheric Science Letters
Personal Author:

Allen, Theodore L. ; Mapes, Brian E. ; Cavanaugh, Nicholas
NOAA Program & Office:

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

Linear inverse models (LIMs) are used to explore predictability and information content of theMadden-Julian Oscillation (MJO). Hindcast skill for outgoing longwave radiation (OLR) related to the MJO on intraseasonal timescales in the tropics has been examined for a variety of LIMs using OLR and optionally 200 and 850 hPa zonal wind information channels. The dependence of OLR hindcast skill on wind channels was evaluated by randomizing in time, averaging in space, or omitting data entirely. Results show positive prediction skill (relative to climatology) up to 3 weeks and wind information, mostly at the largest scales, adds 1-2 days of skill.
Keywords:

Atmospheric Science Forecasting Geochemistry Geophysics Indexes Inverse Problems Linear Accelerators Madden-Julian Oscillation Meteorology Modeling Multivariate Analysis Seasonal Variations (Economics) Atmospheric Science Inverse Problems Linear Accelerators Madden-Julian Oscillation Multivariate Analysis Seasonal Variations (Economics)
Source:

Atmos. Sci. Lett., 17: 362-367.
DOI:

https://doi.org/10.1002/asl.666
Document Type:

Journal Article
Funding:

Grant no. NA13OAR4310156
Rights Information:

CC BY
Compliance:

PMC
Main Document Checksum:

urn:sha-512:97c9ac5f016b22786226152f1a9bf1c38f3bfafadd7e29b9b70d07451939797f993d4202a4fd81ec9092c548bcebaa06b9ac29c3de426cc79a8add88d83e141d
Download URL:

https://repository.library.noaa.gov/view/noaa/26027/noaa_26027_DS1.pdf
File Type:

[PDF - 3.40 MB ]

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