Ice-kNN-South: a lightweight machine learning model for Antarctic sea ice prediction

The verification files for the models expounded in the paper, along with the requisite supporting documents.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-31
DOI
https://doi.org/10.5281/zenodo.13144174
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ice-kNN-South: a lightweight machine learning model for Antarctic sea ice prediction

Zenodo (CERN European Organization for Nuclear Research)
Arctic and Antarctic ice dynamics
article

Ice-kNN-South: a lightweight machine learning model for Antarctic sea ice prediction

article en

Abstract

The verification files for the models expounded in the paper, along with the requisite supporting documents.

Zenodo (CERN European Organization for Nuclear Research)
Sun Yat-sen University (CN), Dalian University of Technology (CN), Bjerknes Centre for Climate Research (NO), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
Life below water
Openalex Percentile: Top 66%
Arctic and Antarctic ice dynamics
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Ice-kNN-South: a lightweight machine learning model for Antarctic sea ice prediction · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS