Identifying and Predicting the Lagrangian Coherence of Eddies in the Gulf of Mexico Using Machine Learning and Satellite Observations by Luna Hiron, Olmo Zavala‐Romero, Eric P. Chassignet, Philippe Miron, Bulusu Subrahmanyam

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Incorporating Hourly Convective Cloud Data Into Tropical Cyclone Rapid Intensification Forecasting With Machine Learning by Qiaoyan Wu, Tong Luo, Jiacheng Hong

“…Journal of Geophysical Research: Machine Learning and Computation…”
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A Novel Bayesian Geophysical Inversion Method to Address Loss Function Bias: The Iterative Normalizing Flows Model by Binbin Liao, Xiaodong Chen, Jianqiao Xu, Jiangcun Zhou, Heping Sun

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Ice‐kNN‐South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction by Yongcheng Lin, Qinghua Yang, Xuewei Li, Xiaoran Dong, Hao Luo, Yafei Nie, Jiuke Wang, Yiguo Wang, Chao Min

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Interpretable Machine Learning Reveals the Crucial Role of Water Availability in Regulating Thermal Optimality of Terrestrial Ecosystems by Arman Ahmadi, Kanishka Mallick, Koong Yi, Dennis Baldocchi

“…Journal of Geophysical Research: Machine Learning and Computation…”
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A Machine Learning Zircon Trace Element Tool to Predict Porphyry Deposit Type and Resource Size by Zi‐Hao Wen, Bo Xu, Christopher L. Kirkland, David R. Lentz, Zeng‐Qian Hou, Tao Wang, Mao‐Wen Yuan

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Machine Learning Techniques for Predicting Typhoon‐Induced Storm Surge Using a Hybrid Wind Field by Changyu Su, Bishnupriya Sahoo, Miaohua Mao, Meng Xia

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Stable Machine‐Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection‐Permitting Simulations by Zeyuan Hu, Akshay Subramaniam, Zhiming Kuang, Jerry Lin, Sungduk Yu, Walter M. Hannah, Noah D. Brenowitz, Josh Romero, Michael S. Pritchard

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A Machine Learning Approach to Produce a Continuous Solar‐Induced Chlorophyll Fluorescence Over the Arctic Ocean by Nima Madani, Nicholas C. Parazoo, Manfredi Manizza, Abhishek Chatterjee, Dustin Carroll, Dimitris Menemenlis, Vincent Le Fouest, Atsushi Matsuoka, Kelly M. Luis, Camila Serra‐Pompei, Charles E. Miller

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Comparing Machine Learning Algorithms to Enhance Volumetric Water Content Prediction in Low-Cost Soil Moisture Sensor by Iman Setiawan, Mohammad Dahlan Th. Musa, Dini Aprilia Afriza, Siti Nur Hafidah

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Inferring Parameters in a Complex Land Surface Model by Combining Data Assimilation and Machine Learning by L. T. Keetz, K. Aalstad, R. A. Fisher, C. Poppe Terán, B. Naz, N. Pirk, Y. A. Yilmaz, O. Skarpaas

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Improving the Skill of Subseasonal to Seasonal (S2S) Wind Speed Forecasts Over India Using Statistical and Machine Learning Methods by Aheli Das, Dondeti Pranay Reddy, Somnath Baidya Roy

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Near Real‐Time Mapping of All‐Sky Land Surface Temperature From GOES‐R Using Machine Learning by Sadegh Ranjbar, Danielle Losos, Sophie Hoffman, Shiva Arabi, Ankur Desai, Paul C. Stoy

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling by Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, Zahra Kalantari, Jeong-A. Lee

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Hollows on Mercury: Creation and Analysis of a Global Reference Catalog With Deep Learning by Valentin T. Bickel, Ariel N. Deutsch, David T. Blewett

“…Journal of Geophysical Research: Machine Learning and Computation…”
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A Machine Learning‐Based Observation Operator for FY‐4B GIIRS Brightness Temperatures Considering the Uncertainty of Label Data by Yonghui Li, Wei Han, Wansuo Duan, Zeting Li, Hao Li

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Using an Explainable Machine Learning Approach to Produce High‐Resolution Hourly Precipitation Estimates for a Typical Data‐Deficiency Basin by Yi Lyu, Bin Yong

“…Journal of Geophysical Research: Machine Learning and Computation…”
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Dual‐Transformer Deep Learning Framework for Seasonal Forecasting of Great Lakes Water Levels by Yi Chen, Pengfei Xue

“…Journal of Geophysical Research: Machine Learning and Computation…”
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TopoRSNet: A Unique Approach to Maintaining Topological Features for Digital Rock Image Rescaling With Minimal Quality Degradation by Kunning Tang, Yufu Niu, Ying DaWang, Vanessa Robins, Peyman Mostaghimi, Mark Lindsay, Ryan T. Armstrong

“…Journal of Geophysical Research: Machine Learning and Computation…”
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From Labquakes to Megathrusts: Scaling Deep Learning Based Pickers Over 15 Orders of Magnitude by Peidong Shi, Men‐Andrin Meier, Linus Villiger, Katinka Tuinstra, Paul Antony Selvadurai, Federica Lanza, Sanyi Yuan, Anne Obermann, Maria Mesimeri, Jannes Münchmeyer, Patrick Bianchi, Stefan Wiemer

“…Journal of Geophysical Research: Machine Learning and Computation…”
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