Back to Search

On the data-driven inference of modulatory networks in climate science: an application to West African rainfall

Paper Details
Authors:
Diego Luis Gonzalez
Michael Angus
Isaac K. Tetteh
Gonzalo A. Bello
K. A. Padmanabhan
Saurabh V. Pendse
S. Srinivas
Yu Jian
F.H.M. Semazzi
Vijay Kumar
Nagiza F. Samatova
Publication Date: 2014-04-04
Climate variability and modelsEnvironmental ScienceGlobal and Planetary ChangePhysical Sciences
Read Paper
External Resources

Paper information is provided by public research databases. Summaries are generated to aid understanding and may not reflect the complete scope of the work. For the authoritative version, please refer to the original publication.

On the data-driven inference of modulatory networks in climate science: an application to West African rainfall - KNUST Research Atlas