On ISSM and leveraging the Cloud towards faster quantification of the uncertainty in ice-sheet mass balance projections. - Eric Y. Larour; Nicole-Jeanne Schlegel (Comput. Geosci., 2016)

Detecting the Greenland Ice Sheet Strong Surface Melt During Summer 2021 using SMAP L-Band Microwave Radiometry. - Mohammad Mousavi; Andreas Colliander; Nicole-Jeanne Schlegel; Julie Z. Miller; John S. Kimball (IGARSS, 2022)

Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. - Sahara Ali; Omar Faruque; Yiyi Huang; Md. Osman Gani; Aneesh Subramanian; Nicole-Jeanne Schlegel; Jianwu Wang 001 (ICMLA, 2023)

Building Seasonal Maps of Antarctica's Temperature with Repeat-Pass Microwave Interferometry. - Alex Akins; Alan B. Tanner; Nicole-Jeanne Schlegel; Andreas Colliander; Igor Yanovsky; Sidharth Misra; Shannon T. Brown (IGARSS, 2023)

Multi-Contextual Learning : Analyzing Melt Over the Greenland Ice Sheet. - Chhaya Kulkarni; Vandana P. Janeja; Nicole-Jeanne Schlegel (IGARSS, 2023)

Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold. - Tolulope Ale; Vandana P. Janeja; Nicole-Jeanne Schlegel (IGARSS, 2024)

Anomaly Detection Using Graph Deviation Networks Within Spatiotemporal Neighborhoods: A Case Study in Greenland. - Chhaya Kulkarni; Bayu Adhi Tama; Nicole-Jeanne Schlegel; Vandana P. Janeja (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Sparse Synthetic Aperture Radiometer Constellation Concept for Remote Sensing of Antarctic Ice Sheet Temperature. - Alex B. Akins; Alan B. Tanner; Andreas Colliander; Nicole-Jeanne Schlegel; Kenza Boudad; Igor Yanovsky; Shannon T. Brown; Sidharth Misra (IEEE Trans. Geosci. Remote. Sens., 2025)

Advancing climate model interpretability: Feature attribution for Arctic melt anomalies. - Tolulope Ale; Nicole-Jeanne Schlegel; Vandana P. Janeja (CoRR, 2025)