Work

Radar Super Resolution Using a Deep Convolutional Neural Network

Year: 2020

Type: article

Source: Journal of Atmospheric and Oceanic Technology

DOI: 10.1175/jtech-d-20-0074.1

Authors: Andrew Geiss, Joseph C. Hardin

Institutions: Pacific Northwest National Laboratory, University of Washington

Language: English

Topic: Precipitation Measurement and Analysis

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: closed

Funder: Office of Science

OpenAlex ID: W3110128403

FWCI: 1.944

Cites: 28

Cited by: 46

Related to: 10