Informativeness of wind data in linear Madden–Julian oscillation prediction

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

doi:10.1002/asl.666

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i

Informativeness of wind data in linear Madden–Julian oscillation prediction

2016
By Allen, Theodore L. ; Mapes, Brian E. ; Cavanaugh, Nicholas
Source: Atmos. Sci. Lett., 17: 362-367.

[PDF-3.40 MB]

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Journal Title:

Atmospheric Science Letters
Personal Author:

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

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

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

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) Less -
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)
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
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PMC
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urn:sha256:aee724a64c0926c3cd091fc03b5d9ada8292ef0883e003c6530a75c8e4e9473b
Download URL:

https://repository.library.noaa.gov/view/noaa/26027/noaa_26027_DS1.pdf
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Informativeness of wind data in linear Madden–Julian oscillation prediction

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