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Probabilistic machine learning for weather forecast post-processing.
Zahir Nikraftar
Published May 02, 2023
Last Edited May 02, 2023
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Research Category
Physical science of climate change
Emissions producing economic sector under study
Agriculture, land use and forestry; Industry
Keywords
Bayesian methods ,
Deep Learning ,
S2S weather forecasts
Geographies Covered
Global
Country / Countries as Case Study
Not applicable
City / Cities as Case Study
Not applicable
Name of University
Queen Mary University of London
Department/ Name of PhD degree
Computer Science
Division/ School/ Faculty / Area within the University
Not applicable
College Name
Not applicable
Year of start of PhD
2023
Expected year of completion of PhD
2027
Email
z.nikraftar@qmul.ac.uk
Researcher Profile
https://scholar.google.co.uk/citations?user=MQPXlPcAAAAJ&hl=en
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