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Artificial Intelligence for the Earth Systems
Priority: 4
Description: Artificial Intelligence for the Earth Systems (AIES) is publishes research on the development and application of methods in Artificial Intelligence (AI), Machine Learning (ML), data science, and statistics that is relevant to meteorology, atmospheric More ...
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RISDetail Enhancement of AIRS/AMSU Temperature and Moisture Profiles Using a 3D Deep Neural Network
Publisher: American Meteorological Society
Reducing Southern Ocean Shortwave Radiation Errors in the ERA5 Reanalysis with Machine Learning and 25 Years of Surface Observations
Publisher: American Meteorological Society
Carefully Choose the Baseline: Lessons Learned from Applying XAI Attribution Methods for Regression Tasks in Geoscience
Publisher: American Meteorological Society
A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science
Publisher: American Meteorological Society
Let’s Unleash the Network Judgment: A Self-Supervised Approach for Cloud Image Analysis
Publisher: American Meteorological Society
Convective-Scale Assimilation of Cloud Cover from Photographs Using a Machine Learning Forward Operator
Publisher: American Meteorological Society
Photographic Visualization of Weather Forecasts with Generative Adversarial Networks
Publisher: American Meteorological Society
Global Extreme Heat Forecasting Using Neural Weather Models
Publisher: American Meteorological Society
Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction
Publisher: American Meteorological Society
Strictly Enforcing Invertibility and Conservation in CNN-Based Super Resolution for Scientific Datasets
Publisher: American Meteorological Society