David Berry
Scientific Officer - Climate Data Management
Switzerland
Summary
👤
Senior🎓
Top SchoolDavid Berry is a climate data scientist with nine years of professional experience and a deep academic foundation in oceanography, holding a PhD focused on air-sea fluxes and their uncertainty. He currently serves as Scientific Officer for Climate Data Management at the World Meteorological Organization, after over a decade of research roles at the National Oceanography Centre and the University of Southampton. His work bridges marine meteorology, air–sea interaction, and marine climatology, translating complex observational and uncertainty-focused research into operational data practices. Based in Switzerland, he combines long-term research rigor with practical climate data stewardship at an international policy-facing organisation. An understated strength is his sustained focus on quantifying uncertainty in air–sea exchanges—critical for climate model evaluation and maritime forecasting.
8 years of coding experience
20 years of employment as a software developer
PhD, Oceanography, Air - sea fluxes and their uncertainty, PhD, Oceanography, Air - sea fluxes and their uncertainty at University of SouthamptonB.Sc., Geophysical Sciences, B.Sc., Geophysical Sciences at University of East Anglia
Github Skills (115)
geojson10
python-server10
osgeo10
ogc10
api10
csv10
endpoint10
geospatial10
capability10
bufr9
python9
metadata9
openapi9
rest-api9
reference-implementation9
Programming languages (11)
Github contributions (5)
World-Meteorological-Organization/csv2bufr
Nov 2021 - Dec 2022
Python package to transform CSV data into the WMO BUFR format
Contributions:18 releases, 59 reviews, 61 commits in 1 year
csvpythontransformcsv-datapython27
glamod/common_data_model
Jul 2017 - Nov 2022
Documents and tables definining the common data model
Contributions:2 PRs, 54 pushes, 1 branch in 5 years 5 months
data-managementdatadata-importjasperreportsdata-model
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