Dr. Andrew K. Mirza
Research Scientist (NCAS)
Responsibilities
Research Scientist in the High-Resolution Climate Modelling (HRCM) research group (https://hrcm.ceda.ac.uk/), a long-standing collaboration between NCAS-Climate at the University of Reading and the Met Office Hadley Centre. My principal role is research software engineering, helping to develop and manage large-scale ocean and atmospheric simulations on various high-performance computing platforms, e.g., Jasmin (https://jasmin.ac.uk) and ARCHER2 (https://www.archer2.ac.uk/). My secondary role is data analysis ranging from metrics for model performance to the statistical analysis of the climate model results.
Centaur Publications
2021
Mirza, A. K., Dance, S. L. 
ORCID: https://orcid.org/0000-0003-1690-3338, Rooney, G. G., Simonin, D., Stone, E. K. and Waller, J. A.
(2021)
Comparing diagnosed observation uncertainties with independent estimates: a case study using aircraft‐based observations and a convection‐permitting data assimilation system.
Atmospheric Science Letters, 22 (5).
el01029.
ISSN 1530-261X
doi: https://doi.org/10.1002/asl.1029
2019
Mirza, A. K., Ballard, S. P., Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338, Rooney, G. G. and Stone, E. K.
(2019)
Towards operational use of aircraft‐derived observations: a case study at London Heathrow airport.
Meteorological Applications, 26 (4).
pp. 542-555.
ISSN 1469-8080
doi: https://doi.org/10.1002/met.1782
2016
Mirza, A. K., Ballard, S. P., Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338, Maisey, P., Rooney, G. G. and Stone, E. K.
(2016)
Comparison of aircraft-derived observations with in situ research aircraft measurements.
Quarterly Journal of the Royal Meteorological Society, 142 (701).
pp. 2949-2967.
ISSN 1477-870X
doi: https://doi.org/10.1002/qj.2864
Last update: 1st February 2024
