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Divining monsoon rainfall months in advance with satellites and simulations

The research team created better climate model simulations that predict variation in monsoon rainfall the following season, with improved forecasts for the Indian subcontinent. The new model uses complementary satellite data to quantify the connection between snow pack characteristics and monsoon strength over the Asian monsoon region.

SourceUniversity of Texas at Austin·JournalEnvironmental Research Letters·DateJul 16, 2020

Breakthrough machine learning approach quickly produces higher-resolution climate data

Researchers developed a breakthrough machine learning approach that quickly produces higher-resolution climate data, enhancing wind velocity and solar irradiance by 50 and 25 times respectively. This advancement will enable scientists to complete renewable energy studies with more accuracy and speed.

SourceDOE/National Renewable Energy Laboratory·JournalProceedings of the National Academy of Sciences·DateJul 7, 2020

Knowledge of severe storm patterns may improve tornado warnings

Researchers found a statistically significant difference in storm structure between those producing tornadoes and non-tornadic supercells, which could lead to more accurate warnings. The study suggests using polarimetric radar data to identify the orientation of raindrop shapes, potentially improving tornado warning times.

SourcePenn State·JournalGeophysical Research Letters·DateJul 1, 2020

Applying the analogy method to improve the forecasting of strong convection

Researchers improve forecasting of strong convective weather using analogy method, which estimates occurrence environment for similar weather phenomena based on historical model forecasts. The method performs well in predicting potential for strong convection in different regions of China.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAtmospheric and Oceanic Science Letters·DateMay 15, 2020