Exploring foci of:
dx.doi.org
Statistical downscaling of precipitation with deep neural networks
February 2023 • Bing Gong, Yan Ji, Michael Langguth, Martin G. Schultz
Accurate weather predictions are essential for many aspects of social society. Providing a reliable high-resolution precipitation field is essential to capture the finer scale of heavy precipitation events,  which is normally poorly represented in the numerical models. Statistical downscaling is an appealing tool since it is computationally inexpensive. Thus, it has been widely used over the last three decades. In recent years, super-resolution with deep learning has been successfully applied to generate …
Geography
Transformer
Artificial Intelligence
Geodesy
Convolutional Neural Network
Data Mining
Deep Learning
Computer Science
Precipitation
Meteorology
Machine Learning
Voltage
Physics
Algorithm
Quantum Mechanics
The Dancers At The End Of Time
Hope Ii
The Ninth Wave
The Bureaucrats (1936 Film)
Main Page
The False Mirror
The Massacre At Chios
Weapons (2025 Film)
Squid Game Season 3
Technological Fix
Harvester Vase
Electronic Colonialism