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PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling

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Bibliographic Details
Published in:The Cryosphere (TC)
Format: Online Article RSS Article
Published: 2026
Subjects:
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FRELIP Feed Integration
container_title The Cryosphere (TC)
description
discipline_display Meteorology
discipline_facet Meteorology
format Online Article
RSS Article
genre Journal Article
id rss_article:62435
institution FRELIP
journal_source_facet The Cryosphere (TC)
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling
Meteorology
General
Meteorology
sub_discipline_display General
sub_discipline_facet General
subject_display Meteorology
General
Meteorology
Meteorology
General
Meteorology
subject_facet Meteorology
General
Meteorology
title PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling
title_auth PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling
title_full PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling
title_fullStr PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling
title_full_unstemmed PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling
title_short PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling
title_sort pixal: a physics-inspired explainable machine learning architecture for greenland ice albedo modeling
topic Meteorology
General
Meteorology
url https://doi.org/10.5194/tc-20-3131-2026