معرفی
Graeme Kelly is a Researcher at the Department of Meteorology, University of Reading, and an Expert Scientist in Data Assimilation at the Met Office. His work focuses on advancing numerical weather prediction (NWP) through the use of satellite data, particularly in variational analysis and data assimilation systems. He has expertise in integrating SEVIRI and IASI radiance data into operational models, improving forecast accuracy, and optimizing observation systems. His career spans roles at ECMWF (1983–2007) and the Met Office (2007–present), where he contributed to projects like the ERA-40 reanalysis and the RTTOV radiative transfer model.
His research interests include satellite data assimilation, cloudy radiance processing, and observation error characterization. Notable contributions involve enhancing the use of geostationary satellite observations (e.g., SEVIRI, IASI) in high-resolution models and developing infrastructure for cloudy radiance assimilation. He has also advised on reanalysis projects and satellite bias correction initiatives.
Key technical achievements include improving the Met Office’s UKV model through 4D-Var techniques and advancing understanding of atmospheric motion vector (AMV) errors. His work bridges satellite remote sensing and operational NWP, emphasizing the value of targeted observations and interdisciplinary collaborations with space agencies.
