Open AccessCan Scientists Boost Solar Modeling Despite a Lack of Data?
Author(s) -
Colin Schultz
Publication year - 2015
Publication title -
eos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2015eo023321
Subject(s) - computer science , environmental science , data science
Researchers show that a data processing technique could salvage useful information from raw solar observations, opening the door to improved understanding of the solar dynamo.