3 papers
stat.AP2019
Detected changes in precipitation extremes at their native scales derived from in situ measurements
Mark D. Risser, Christopher J. Paciorek, Travis A. O'Brien +2
The gridding of daily accumulated precipitation -- especially extremes -- from ground-based station observations is problematic due to the fractal nature of precipitation, and ther…
stat.AP2018
A probabilistic gridded product for daily precipitation extremes over the United States
Mark D. Risser, Christopher J. Paciorek, Michael F. Wehner +2
Gridded data products, for example interpolated daily measurements of precipitation from weather stations, are commonly used as a convenient substitute for direct observations beca…
cs.CV2016
Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets
Yunjie Liu, Evan Racah, Prabhat +6
Detecting extreme events in large datasets is a major challenge in climate science research. Current algorithms for extreme event detection are build upon human expertise in defini…