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Cherish the Earth 2017 MODES

Cherish the Earth! 

https://www.marchforscience.com/

22 April 2017 

forecast error growth, ECMWF, MODES

MODES has been applied for a scale-dependent estimates of the growth of forecast uncertainties in a global prediction system.  A  new parametric model for the representation of the forecast error growth is formulated and applied independently to every zonal wavenumber.  

MODES project, ERC StG, Ljubljana

On 30 November ERC StG MODES has formally finished.  

MODES webpage has been updated on 28 November.  

Inertio-gravity waves in ECMWF model

Since 28 October 2016 new maps showing inertio-gravity waves in the upper troposphere and the stratosphere in ECMWF analysis and 10-day deterministic forecast have been added under Polar plots menu. 

equatorial/global iRossby mode n=1

Summary of the MODES workshop entitled "Normal Modes of Atmospheric Variability in Observations, Numerical Weather Prediction, and Climate Models" will appear in the June issue of the Bulletin of American Meteorological Society.  Available on request. 

forecast errors humidity

Global data assimilation systems for numerical weather prediction are characterized by significant uncertainties in tropical analysis fields.

analysis increments in the ECMWF model at 150 hPa level

Properties of forecast errors of tropical circulation are more difficult to establish than in the extra-tropics, where the geopotential height often provides sufficient information about the large-scale circulation.

Since mid January 2016 the MODES outputs have been enriched by the presentation of the balanced and inertio-gravity circulation in the polar regions with focus on the stratosphere. 

Plots were prepared in support to the DLR observation campaign of gravity waves in polar regions. 

MODES software v1.0 has been released and can be downloaded from http://meteo.fmf.uni-lj.si/MODES/modes-software. 

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