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RISRadar Super Resolution using a Deep Convolutional Neural Network
Publisher: American Meteorological Society
Abstract: Super-resolution involves synthetically increasing the resolution of gridded data beyond its native resolution. Typically, this is done using interpolation schemes, which estimate sub-grid scale values from neighboring ...
Strictly Enforcing Invertibility and Conservation in CNN-Based Super Resolution for Scientific Datasets
Publisher: American Meteorological Society
Strictly Enforcing Invertibility and Conservation in CNN-Based Super Resolution for Scientific Datasets
Publisher: American Meteorological Society
Growth of Mesoscale Convective Systems in Observations and a Seasonal Convection-Permitting Simulation over Argentina
Publisher: American Meteorological Society
Indications of a Decrease in the Depth of Deep Convective Cores with Increasing Aerosol Concentration During the CACTI Campaign
Publisher: American Meteorological Society
Near-Cloud Atmospheric Ingredients for Deep Convection Initiation
Publisher: American Meteorological Society
An Analysis of Coordinated Observations from NOAA’s Ronald H. Brown Ship and G-IV Aircraft in a Landfalling Atmospheric River over the North Pacific during CalWater-2015
Publisher: American Meteorological Society
Abstract: AbstractTo gain a more complete observational understanding of atmospheric rivers (ARs) over the data-sparse open ocean, a diverse suite of mobile observing platforms deployed on NOAA?s R/V Ronald H. Brown (RHB) and G-IV ...
Near-Cloud Atmospheric Ingredients for Deep Convection Initiation
Publisher: American Meteorological Society
The ARM Cloud Radar Simulator for Global Climate Models: Bridging Field Data and Climate Models
Publisher: American Meteorological Society
Utilizing a Storm-Generating Hotspot to Study Convective Cloud Transitions: The CACTI Experiment
Publisher: American Meteorological Society