Dr Dingmin Li

Dingmin works on improving high-resolution data assimilation. He works in the Data Assimilation @ Reading Group based at MetOffice@Reading Unit at the Department of Meteorology, University of Reading.

Current activities

Dingmin is currently involved in design and implementing the variational bias correction scheme to the data assimilation system for the regional analysis project EURO4M and for the operational system in mid-term.

Dingmin is also engaged in research of assimilating of novel observations, such as radar reflectivity,
into high-resolution models, including the 1.5 km-resolution UKV model. The primary aim of this work is to better representation of convective-scale heavy  precipitation in the model.

The other part of the research involved is the  DIAMET project where data assimilation system support will be provided to colleagues in the universities and impacts and sensitivity studies of the  DIAMET observations on the model simulation and forecasts will be studied.

Career background

Dingmin joined the Met Office in 1998, having previously worked as a research scientist in the  University of Reading Department of Meteorology since 1991 after completing Ph.D in Stratospheric Dynamics at the University of Edinburgh. The research prior to the Met Office involved mainly radiative modelling and stratospheric modelling. Dingmin's first job in Met Office was data assimilation in the global NWP model system, responsible for construction and testing of Met Office operational suite control system to implement 3D-Var/4D-Var assimilation systems together with New-Dynamic UM model. In 2003, Dingmin moved to work on research of assimilating satellite observed infra-red observations into high resolution models. Dingmin moved to  ECMWF in 2008 on secondment working on satellite data assimilation and bias correction, coming back to Met Office in 2010 working on VarBC and data assimilation into high resolution NWP systems.

Last updated: 16 March 2015

About Dr. DingMin Li

Dr Dingmin Li

DingMin Li

Area of expertise

  • General and variational bias corrections in assimilation of various satellite observations.
  • Global and limited area NWP suite systems.
  • OPS and VAR systems and their coding.