Jelena Bojarova
Ph.D.
Field of work
Development of meso-scale data assimilation system within the joint ALADIN-HIRLAM code environment under HARMONIE model configuration specially targeted to describe convective scale phenomena.
Development of efficient high-resolution EPS able to describe evolution of uncertainty on meso-scales (HarmonEPS).
Regional reanalysis (UERRA) and efficient use of different data sources.
Research interests
- Error propagation mechanism on meso-scales
- Design of consistent and efficient DA-EPS system
- Non-linear and non-Gaussian processes
Special competences
- Mathematical statistics and probability theory
- Computer sciences, scientific programming and code design
- HIRLAM-B (2011-2015) PL on DA&UO
Latest publications
The hectometric modelling challenge
Humphrey W. Lean, Natalie E. Theeuwes, Michael Baldauf, Jan Barkmeijer, Geoffrey Bessardon, Lewis Blunn, Jelena Bojarova, Ian A. Boutle, Peter A. Clark, Matthias Demuzere, Peter Dueben, Inger-Lise Frogner, Siebren de Haan, Dawn Harrison, Chiel van Heerwaarden, Rachel Honnert, Adrian Lock, Chiara Marsigli, Valery Masson, Anne Mccabe, Maarten van Reeuwijk, Nigel Roberts, Pier Siebesma, Petra Smolikova, Xiaohua Yang
HarmonEPS-The HARMONIE Ensemble Prediction System
Inger-Lise Frogner, Ulf Andrae, Jelena Bojarova, Alfons Callado, Pau Escriba, Henrik Feddersen, Alan Hally, Janne Kauhanen, Roger Randriamampianina, Andrew Singleton, Geert Smet, Sibbo Van Der Veen, Ole Vignes
Relevance of climatological background error statistics for mesoscale data assimilation
Jelena Bojarova, Nils Gustafsson
In: Tellus. Series A, Dynamic meteorology and oceanography, Vol. 71, No. 1
2019
