Melissa Seabrook

Climate Scientist

Exeter, England, United Kingdom
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Summary

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Senior
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Top School
Melissa Seabrook is a climate scientist with 11 years' experience, currently at the Met Office and pursuing a PhD in Climate Science at the University of Reading. She specializes in monthly to decadal variability and prediction, producing five-year forecasts for the WMO Lead Centre and researching drivers of Pacific variability. Her background blends rigorous mathematical and physical training from Durham with hands-on data science skills developed in industry internships—ranging from big-data network analysis using Spark and Hive to C# mission-analysis tooling and Python-based object detection. Colleagues know her for translating complex climate dynamics into operational forecasts and for bridging research and production environments.
code11 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD, Climate Science, Doctor of Philosophy - PhD, Climate Science at University of Reading
bookMasters, Natural Sciences (Mathematics and Physics), Masters, Natural Sciences (Mathematics and Physics) at Durham University
bookA-Levels, A-levels, A-Levels, A-levels at Maidstone Grammar School
bookGCSE, GCSE at Maidstone Grammar School for Girls
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Github Skills (41)

meteorology10
atmosphere10
geometry10
pako10
matplotlib10
cartopy10
grib10
forge10
earth10
geography10
cartography10
earth-science10
spatial10
maps10
oceanography10

Programming languages (1)

Python

Github contributions (5)

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A conda-smithy repository for image-meta-tag.
Contributions:1 review, 41 PRs, 23 pushes in 6 years 5 months
condasmithymetameta-tagsimage-processing
A python package for tagging, managing and presenting very large numbers of images created by matplotlib.
Contributions:44 releases, 3 reviews, 11 commits in 2 years 2 months
pythonimage-metadatalarge-numbersmatplotlib-figuresmatplotlib
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