11 citations · 12 across the 4 of their papers we have counts for
4 papers
Station-wise statistical joint assessment of wind speed and direction under future climates across the United States
Qiuyi Wu, Julie Bessac, Whitney Huang +1
This study develops a statistical conditional approach to evaluate climate model performance in wind speed and direction and to project their future changes under the representativ…
A Deep Learning Approach to Probabilistic Forecasting of Weather
Nick Rittler, Carlo Graziani, Jiali Wang +1
We discuss an approach to probabilistic forecasting based on two chained machine-learning steps: a dimensional reduction step that learns a reduction map of predictor information t…
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…