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Looking for the key to predict heatwaves over the Yangtze River basin 20 days in advance

Researchers from Nanjing University of Information Science & Technology evaluate subseasonal prediction skill for heatwaves in Yangtze River basin using long-term hindcast data from three operational models. They found that superior model fidelity is crucial to predicting heatwave occurrence, intensity and duration at longer lead times.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAdvances in Atmospheric Sciences·DateOct 5, 2020

Scientists explore the potential for further improvements to tropical cyclone track forecasts

Researchers found that true forecast track error increases exponentially with lead time, implying dynamics of TC motions are linear and model-induced errors in TC position forecasts are minimal. The team's 4-parameter error model indicates potential extension of predictability limit beyond 6/8 days in 10/30 years' time.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalBulletin of the American Meteorological Society·DateSep 13, 2020