Liam Carter
- Phone: +44 7911 123456
- Email: liam.carter@email.com
- Location: London, UK
- LinkedIn: liamcarter-atmospherics
Summary
10+ years of expertise in developing and validating atmospheric models, contributing to enhanced climate prediction accuracy and understanding of planetary atmospheres. Successfully led projects integrating satellite observational data with numerical simulations to forecast mesoscale weather phenomena and atmospheric composition changes. Proven ability to translate complex scientific findings into actionable insights for environmental policy and space mission planning.
Experience
Senior Research Scientist, Atmospheric Modelling, Met Office Hadley Centre -- Exeter, UK
Sept 2018 – present
-
Developed and refined global climate models, improving long-range precipitation forecasts by 15% through enhanced representation of cloud microphysics.
-
Led a team of 5 scientists in a project to integrate advanced satellite aerosol data into atmospheric chemistry models, reducing prediction uncertainty for air quality events by 20%.
-
Published 7 peer-reviewed articles in high-impact journals on atmospheric dynamics and climate sensitivity, contributing to IPCC assessment reports.
-
Designed and implemented new verification metrics for stratospheric ozone depletion simulations, increasing model fidelity by 10% against observational datasets.
Atmospheric Scientist, European Centre for Medium-Range Weather Forecasts (ECMWF) -- Reading, UK
Aug 2013 – Aug 2018
-
Contributed to the development of the Integrated Forecasting System (IFS), specifically focusing on data assimilation techniques for atmospheric temperature and humidity profiles.
-
Analyzed reanalysis data to identify long-term trends in atmospheric water vapor, supporting research into climate change impacts on hydrological cycles.
-
Automated data processing workflows for large-scale meteorological datasets using Python, reducing processing time by 25% and improving research efficiency.
-
Presented research findings at 5 international conferences, fostering collaborations with leading atmospheric science institutions.
Education
University of Oxford, DPhil (PhD) in Atmospheric, Oceanic and Planetary Physics -- Oxford, UK
Sept 2009 – July 2013
Imperial College London, MSci (Master in Science) in Physics with Theoretical Physics -- London, UK
Sept 2005 – July 2009
Skills
Atmospheric Modeling & Simulation: WRF, CESM, UKESM, GCMs, RCMs, coupled ocean-atmosphere models
Data Analysis & Visualization: Python (NumPy, SciPy, Matplotlib, Pandas, Xarray), R, MATLAB, IDL, GIS, NetCDF, HDF5
Satellite Meteorology: Remote Sensing, Lidar, Radar, MODIS, CALIPSO, Sentinel data processing
Scientific Programming: Fortran, C++, Python, Shell Scripting, HPC environments, Git
Atmospheric & Space Science Concepts: Atmospheric Dynamics, Radiative Transfer, Cloud Physics, Boundary Layer Meteorology, Planetary Atmospheres, Space Weather