Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms
Multi-Model Ensembles (MMEs) are often employed to reduce the uncertainties related to GCM simulations/projections. The objective of this study was to evaluate the performance of MMEs developed using machine learning (ML) algorithms with different combinations of GCMs ranked based on their performan...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier BV.
2020
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/87457/ http://www.dx.doi.org/10.1016/j.atmosres.2019.104806 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|