11 citations · 11 across the 2 of their papers we have counts for
5 papers
Fast and accurate learned multiresolution dynamical downscaling for precipitation
Jiali Wang, Zhengchun Liu, Ian Foster +3
This study develops a neural network-based approach for emulating high-resolution modeled precipitation data with comparable statistical properties but at greatly reduced computati…
Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression
Saumya Bhatnagar, Won Chang, Seonjin Kim Jiali Wang
Computer models play a key role in many scientific and engineering problems. One major source of uncertainty in computer model experiment is input parameter uncertainty. Computer m…
Ice Model Calibration Using Semi-continuous Spatial Data
Won Chang, Bledar A. Konomi, Georgios Karagiannis +2
Rapid changes in Earth's cryosphere caused by human activity can lead to significant environmental impacts. Computer models provide a useful tool for understanding the behavior and…
A Regularized Spatial Market Segmentation Method with Dirichlet Process Gaussian Mixture Prior
Won Chang, Sunghoon Kim, Heewon Chae
Spatially referenced data are increasingly available thanks to the development of modern GPS technology. They also provide rich opportunities for spatial analytics in the field of…
Computer model calibration based on image warping metrics: an application for sea ice deformation
Yawen Guan, Christian Sampson, J. Derek Tucker +4
Arctic sea ice plays an important role in the global climate. Sea ice models governed by physical equations have been used to simulate the state of the ice including characteristic…