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Recent Posts
- Climate Ambassadors and the future of Climate Education
- Why should we keep working on theory and fluid dynamics in climate sciences?
- Land Surface water controls on Atmospheric CO2 growth
- Exploring history and colonialism in my approach to climate science research
- Air Quality in a UK Town – A 10-year case study
Archives
- November 2024
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- Co-production
- Conferences
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- Cryosphere
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- Diversity and Inclusion
- drought
- earth observation
- Eclipses
- Energy budget
- Energy meteorology
- ENSO
- Environmental hazards
- Environmental physics
- Equatorial waves
- Europe
- extratropical cyclones
- extremes
- Fieldwork
- Flooding
- Fluid-dynamics
- Forecasting Testbed
- Geoengineering
- Greenhouse gases
- Health
- High performance computing
- High-Resolution Climate modelling
- Historical climatology
- History of Science
- Hydrology
- IPCC
- land use
- Machine Learning
- Madden-Julian Oscillation (MJO)
- Maritime Continent
- Measurements and instrumentation
- Metadata
- Microphysics
- Monsoons
- net zero carbon
- North Atlantic
- Numerical modelling
- Oceanography
- Oceans
- Outreach
- Phenology
- Polar
- Predictability
- radar
- Radiation
- Rainfall
- Reanalyses
- Remote sensing
- Renewable energy
- Royal Meteorological Society
- Seasonal forecasting
- soil moisture
- Solar radiation
- Space
- space weather
- Statistics
- sting jet
- Stratosphere
- Students
- subseasonal forecasting
- Sunshine
- Teaching & Learning
- Teleconnections
- Temperature
- Thunder Storms
- Tropical convection
- Tropical cyclones
- Troposphere
- Turbulence
- Uncategorized
- University of Reading
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- Western North Pacific
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Category Archives: Data Visualisation
From Ürümqi to Minneapolis: Clustering City Climates with Self-Organising Maps
By: Niall McCarroll As a Research Software Engineer, my job involves developing, testing and maintaining software that scientists can use to analyse earth observation and climate data. Recently I’ve been developing some software that can be used to visualise climate … Continue reading
Posted in Climate, Data Visualisation, Machine Learning
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