The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: A Residual Convolutional Neural Network Model For Super-resolution Urban Microclimate Modeling By Fusing Climate Model, In-situ Station, And Remote Sensing Data (AGU25)

A Residual Convolutional Neural Network Model For Super-resolution Urban Microclimate Modeling By Fusing Climate Model, In-situ Station, And Remote Sensing Data

Vamsi Krishna Nippulapalli, Saint Louis University’s Earth, Environmental and Geospatial Science Department, Saint Louis, MO, UNITED STATES and Orhun Aydin, Saint Louis University, Earth, Environmental and Geospatial Science, Saint Louis, United States