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Using cloud-precipitation relationship to estimate cloud water path of mature tropical cyclones

A study estimates the cloud water path of mature tropical cyclones by analyzing the correlation between cloud microphysical properties and precipitation intensity. The results show that a notable sigmoid function can be used to fit the cloud water path and near-surface rain rate, providing a new way to estimate cloud water path in models.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAdvances in Atmospheric Sciences·DateApr 27, 2020

New NUI Galway study helps improve accuracy of future climate change predictions

A new study published in Nature's journal Climate and Atmospheric Science reveals that adding sea-salt can dampen the effect of clouds becoming brighter, which could impact climate change predictions. The research found that pollution-induced changes to cloud reflectance are a major uncertainty in predicting future climate change.

SourceUniversity of Galway·Journalnpj Climate and Atmospheric Science·DateApr 8, 2020

Let it snow: Researchers put cloud seeding to the test

Researchers have developed a method to accurately measure the volume of snow produced through cloud seeding using radar and other tools. The study found that cloud seeding produced about 282 Olympic-sized swimming pools worth of water in the form of snow, with snow falling from clouds for approximately 67 minutes.

SourceUniversity of Illinois at Urbana-Champaign, News Bureau·JournalProceedings of the National Academy of Sciences·DateFeb 24, 2020

New findings on the largest natural sulfur source in the atmosphere

A team of researchers from TROPOS and Universities in Germany, Austria, and Finland have discovered a new reaction pathway for dimethyl sulfide, challenging current knowledge on its degradation. This finding has significant implications for our understanding of the Earth's sulfur cycle and climate modeling.

SourceLeibniz Institute for Tropospheric Research (TROPOS)·JournalThe Journal of Physical Chemistry Letters·DateNov 18, 2019

Combining satellites, radar provides path for better forecasts

Researchers at Penn State combined geostationary satellites and traditional weather radar to create a system that produces the best forecasts for severe thunderstorms. The study found that assimilating satellite and radar data simultaneously leads to the most accurate predictions, with warning times increased by up to 40 minutes.

SourcePenn State·JournalMonthly Weather Review·DateNov 11, 2019