Hybrid Deep Learning and S2S Model for Improved Sub-Seasonal Surface and Root-Zone Soil Moisture Forecasting

Hybrid Deep Learning and S2S Model for Improved Sub-Seasonal Surface and Root-Zone Soil Moisture Forecasting

Surface soil moisture (SSM) and root-zone soil moisture (RZSM) are key hydrological variables for the agricultural water cycle and vegetation growth. Accurate SSM and RZSM forecasting at sub-seasonal scales would be valuable for agricultural water management and preparations. Currently, weather mode...

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Bibliographic Details
Main Authors: Lei Xu, Hongchu Yu, Zeqiang Chen, Wenying Du, Nengcheng Chen, Min Huang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
soil moisture forecasting
deep learning
S2S model
multistep prediction
Online Access:https://www.mdpi.com/2072-4292/15/13/3410

Internet

https://www.mdpi.com/2072-4292/15/13/3410

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