Open AccessImproving the Identification of Extreme Precipitation Trends in the U.S.
Author(s) -
Terri Cook
Publication year - 2016
Publication title -
eos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2016eo050215
Subject(s) - precipitation , identification (biology) , environmental science , climatology , geography , meteorology , geology , biology , ecology
By greatly reducing the associated uncertainty, a new model is better able to discern statistically significant trends, offering the potential to improve the seasonal forecasting of rare events.