Open AccessA fix to modeled biases in rainfall microphysical process rates
Author(s) -
Schultz Colin
Publication year - 2013
Publication title -
eos, transactions american geophysical union
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1002/2013eo240020
Subject(s) - cloud computing , environmental science , meteorology , scale (ratio) , process (computing) , climatology , atmospheric sciences , computer science , geography , geology , cartography , operating system
Much of the uncertainty in global climate models stems from issues involved in accurately representing cloud properties. The difficulty arises in parameterizing the small‐scale physical interactions that turn water vapor to cloud to rain.