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Chaopeng Shen to present next Water Insights Seminar

Posted: January 31, 2018

Chaopeng Shen, Assistant Professor of Civil Engineering at Penn State will present the next seminar in Water Insights series.
Chaopeng Shen

Chaopeng Shen

The Soil Moisture Active Passive (SMAP) mission has delivered high-quality sensing of surface soil moisture since 2015. However, its short time span, coarse resolution, and irregular revisit schedule have limited its use. Utilizing a state-of-the-art time series deep learning neural network, we created a system that predicts SMAP soil moisture data and hindcast it years into the past. The system removes most of the bias with model simulations and also improves predicted moisture climatology. As the first application of big data deep learning in hydrology, we show that it is more robust than simpler methods. Here we also show that a process-based model (PBM) included as an input in the prediction system has generalization value in a machine learning setting. This product and the methodology have a wide range of applications.

Chaopeng Shen earned his Ph.D. degree in Environmental Engineering, Michigan State University, and did postdoctoral research in high-performance geophysical modeling at Lawrence Berkeley National Laboratory. His research focuses on understanding the interaction between water and other sub-systems in a changing climate. His work involves process-based land surface hydrologic modeling, flood inundation modeling, and, more recently, data mining and synthesis of global-scale datasets and hydrologic deep learning. Shen is an Associate Editor of Water Resources Research.

Join us in person on Tuesday, February 6, 2018 at 12:00 PM in room 102 Forest Resources Building or online using Zoom.

For a full list of seminars in this series and links to recordings of past seminars please visit the Water Insights Seminar Series webpage.

This series is presented by the Environment and Natural Resources Institute.