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weather

Mathematical modeling of the stochastic climate system

Georgiy L. Stenchikov, Professor (former), Earth Science and Engineering
Feb 6, 12:00 - 13:00

B9 L2 H1

weather climate projections

​Author of more than 290 journal and conference publications, Professor Stenchikov's research interests are in multi-scale modeling of environmental processes and numerical methods; global climate change, climate downscaling, atmospheric convection; assessment of anthropogenic impacts and geoengineering; air-sea interaction, evaluating environmental consequences of catastrophic events like volcanic eruptions, nuclear explosions, forest and urban fires; and air pollution, transport of aerosols, chemically and optically active atmospheric tracers, their radiative forcing and effect on climate.

A safe sweep of weather data

1 min read · Sat, Feb 25 2017

News

weather statistics applied mathematics

A statistical technique for automatically cleaning erroneous data from weather-balloon observations will improve the accuracy of weather forecasting.

Revealing hidden relationships in data

1 min read · Sun, Jan 28 2018

News

statistics weather

A method to visualize hidden statistical structure helps make sense of environmental data.

Challenging statistics of weather extremes

1 min read · Sun, Feb 25 2018

News

statistics climate science weather

More accurate statistical modeling of extreme weather will improve forecasting and disaster mitigation.

Statistics (STAT)

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