Daily Gap-free NDSI Reconstruction across the Northern Hemisphere Driven by Long-Term Nonlinear Meteorological Forcing

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

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Authors: Jiahui Xu, Ruiyang Hua, Yan Huang, Stef Lhermitte
DOI: 10.5281/zenodo.18833202
Cited by: 0

Abstract

This daily, gap-free 0.05° NDSI dataset (2003–2023) is reconstructed using a sequence-based PredFormer architecture featuring extended temporal self-attention and adaptive spatiotemporal filtering. By modeling the nonlinear cumulative interactions between snow dynamics and meteorological drivers, this product provides a spatiotemporally continuous foundation optimized for Global Climate Models (GCMs) and hydrological assessments.

Fields of Study & Subjects

Cryospheric studies and observations Precipitation Measurement and Analysis Remote Sensing in Agriculture

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 March 2026
Language
EN
Document type
Dataset