Investigating Predictability of the TRHR Seasonal Precipitation at Long Lead Times Using a Generalized Regression Model with Regularization

Investigating Predictability of the TRHR Seasonal Precipitation at Long Lead Times Using a Generalized Regression Model with Regularization

Skillful long-lead climate forecast is of great importance in managing large water systems and can be made possible using teleconnections between regional climate and large-scale circulations. Recent innovations in machine learning provide powerful tools in exploring linear/nonlinear associations be...

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Bibliographic Details
Main Authors: Xiao Peng, Tiejian Li, John D. Albertson
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Earth Science
Subjects:
the three-rivers headwater region
seasonal precipitation prediction
teleconnection
pooling
elastic net regression
logistic regression
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.724599/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2021.724599/full

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