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Global climate models do not easily downscale for regional predictions

Climate researchers found that global climate models become increasingly uncertain when making predictions at scales below approximately 600 miles for temperature changes and 1200 miles for precipitation patterns. This makes it difficult to predict regional variations, such as the difference in warming between Indianapolis and Pittsburgh.

SourcePenn State·JournalAdvances in Atmospheric Sciences·DateAug 24, 2016

Opposing mountain ranges

A recent study by ETH Zurich researchers found that opposing mountain ranges will experience different water balance changes due to climate change. The Juncal region in Chile is expected to become even drier, while the upper Langtang valley in Nepal may see increased water discharge due to glacier melt and increased rainfall.

SourceETH Zurich·JournalProceedings of the National Academy of Sciences·DateAug 1, 2016

'Advance warning'

Geographers from UC Santa Barbara's Climate Hazards Group will help African scientists predict food deficits using remote sensing tools and climate data. The new project aims to provide early warning systems for severe hunger, giving policymakers four months of advanced notice to allocate resources.

Climate experts help communities cope with impact of the Indian Monsoon

Researchers at the University of Exeter have developed a system to predict excess monsoon rainfall or drought in central India, which can impact the national and global economy. This prediction tool has the potential to improve decision-making for policymakers and communities, ultimately mitigating the effects of extreme weather events.

SourceUniversity of Exeter·JournalInternational Journal of Climatology·DateJul 14, 2016

How El Niño impacts global temperatures

Scientists uncovered century-scale patterns in Pacific rainfall and temperature linked to global climate changes over the past 2000 years. El Niño-like states have amplified global climate fluctuations, with northern hemisphere warming and droughts corresponding to an El Niño state from 950 to 1250.

SourceAustralian National University·JournalNature Communications·DateJun 9, 2016