Minimize Amos Lawless

Back to lecturers main page

Amos S. Lawless
University of Reading

a.s.lawless@reading.ac.uk

Website: http://www.personal.reading.ac.uk/~sms00asl/

Dr Amos Lawless is lecturer in data assimilation and inverse problems at the University of Reading, a position he holds jointly between the Department of Mathematics and Statistics and the Department of Meteorology. Between 1992 and 2001 he worked at the Met Office in the U.K., where he developed the linear and adjoint models for their four-dimensional variational data assimilation system. Since 2001 he has worked at the University of Reading. His scientific interest is in the mathematics of data assimilation, in particular the development and analysis of efficient numerical methods to solve the data assimilation problem in large, complex systems. In 2006 he won the Royal Meteorological Society's L.F. Richardson prize for his work on the numerical analysis of variational data assimilation.

A current main area of Amos's research is the development of data assimilation methods for coupled atmosphere-ocean models. He recently completed a European Space Agency project in this area and currently leads two other projects on coupled data assimilation, funded by the U.K. Natural Environment Research Council. Other research interests include accounting for model error in data assimilation and the application of data assimilation to land surface models.

Amos is part of the U.K. National Centre for Earth Observation and is currently an associate editor for Monthly Weather Review.