An external view of the Met Office building at night.

Dr Marco Milan

Areas of expertise

  • Background error covariances

  • Convective scale data assimilation
  • Reanalysis
  • Radar derived precipitation

Marco's publications

Current activities

Marco works implementing hourly cycling 4DVAR as an operational data assimilation system for the UKV.

He is an expert in computation of static covariances for the UKV. He is involved in the implementation of the Moisture Incrementing Operator in the UKV and in a project about "Exploiting the benefits of convective-scale ensemble forecasts" (in collaboration with the University of Reading).

For the UKV, in the past he tested a digital filter as a weak constraint, the observation data cut-off times and the observation impact on fog forecast.

Career Background

Marco gained a master degree in Applied Physics at the University of Padua in 2002. The title of his thesis is "Application of a non hydrostatic meteorological model at an extreme rainy event".

From 2002 to 2004 he worked at Arpae Emilia Romagna, where his main activity was programming in IDL for radar data visualisation and writing reports about radar data quality and meteorological events.

From July 2004 until January 2010 he gained his PhD in Meteorology at the University of Bonn. The title of his thesis is: "Physical initialisation of precipitation in a mesoscale numerical weather forecast model". Between 2010 and July 2011 he continued his post-doctoral research with the University of Bonn. He was involved in two projects; the first one, in collaboration with ESA, was in the framework of DAME, the second one was about the development of a sequential assimilation method for ensemble prediction systems based on particle filters. During this time he was also co-supervisor of data assimilation seminars and laboratory courses.

In July 2011 he moved to the Meteorological Institute of the University of Vienna, where he continued post-doctoral research in collaboration with ECMWF on reanalysis of meteorological data, particularly homogenization of radiosonde temperature data using a variational approach (VarBC).  During his collaboration with the University of Vienna he was supervisor of "Exercise for statistic in meteorology" and "Exercise for programming in meteorology".

In 2015 he joined the MetOffice to work in the Convective Scale Data Assimilation group (now Convective Scale NWP).