4.6 Article

The impact of the mean moisture bias on the key physics of MJO propagation in the ECMWF reforecast

Journal

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
Volume 122, Issue 15, Pages 7772-7784

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2017JD027005

Keywords

MJO propagation and prediction; mean moisture bias; ECMWF reforecast

Funding

  1. NOAA [NA16OAR4310070]
  2. NSF [AGS-1652289]
  3. KMA Research and Development Program [KMIPA 2016-6010]
  4. Korea Meteorological Institute (KMI) [KMIPA 2016-6010] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The impact of the seasonal mean background state on the physical processes responsible for better Madden-Julian Oscillation (MJO) propagation and prediction was investigated using 20year European Centre for Medium-Range Weather Forecasts (ECMWF) reforecast data sets. While the reforecast captures the MJO propagating signal in the circulation field, the outgoing longwave radiation and column-integrated moist static energy (MSE) anomalies show a weaker signal than the reanalysis when the MJO detours and propagates in the southern Maritime Continent. By comparing individual MSE budget terms, it is found that the predicted positive MSE tendency to the east of the MJO convection center is weaker than the reanalysis due to the weaker horizontal MSE advection. The dry bias in the seasonal mean lower tropospheric moisture is a key factor that weakens the horizontal MSE advection, and thus deteriorates the MJO propagation in the reforecasts. Therefore, improvements in the mean state could further extend the MJO prediction and associated subseasonal weather phenomena over the globe.

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