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Clustering ECMWF ENS ensemble predictions to optimise FLEXPART plume dispersion ensembles

2013
It is commonly known today that ensemble forecasting can yield very valuable information about the uncertainty of a forecast. However, implementing ensemble forecasts in an operational environment is difficult due to the huge amounts of data that have to be retrieved and preprocessed and the computational demands for simulating several dispersion ...
openaire   +1 more source

Tracking source area of Shangdianzi station using Lagrangian particle dispersion model of FLEXPART

Meteorological Applications, 2014
Xingqin An, Bo Yao, Lingxi Zhou
exaly  

Air quality simulation of NOX over the tropical coastal city Chennai in southern India with FLEXPART-WRF

Atmospheric Environment, 2016
Srikanth Madala   +2 more
exaly  

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