ESSIC scientists to publish article on snowfall detection algorithm

ESSIC associate research scientist Cezar Kongoli, visiting research scientist Huan Meng, post-doctoral associate Jun Dong and visiting associate research scientist Ralph Ferraro have a new article accepted for publication in the Quarterly Journal of the Royal Meteorological Society. The authors document a new satellite algorithm for snowfall detection. The scientists found that the key variables for snowfall detection were cloud thickness, relative humidity and vertical velocity.