Global-Regional Nested Forecasting of Soil Moisture

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Quan Zhang
DOI: 10.5281/zenodo.18398860
Cited by: 0

Abstract

This study uses Python 3.11.0 and PyTorch 2.6.0. Folders Figure: Contain the data and scripts used to generate the corresponding figures in the manuscript. Folder Model: Contains scripts for the ASM, including: Global_model.ipynb: Global low resolution model. Regional_model.ipynb: Regional high resolution model. Folder Data: Provides example data for Figure and Model.

Fields of Study & Subjects

Soil Moisture and Remote Sensing Hydrological Forecasting Using AI Meteorological Phenomena and Simulations

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 January 2026