Cover Artificial Intelligence for the Earth Systems
Artificial Intelligence for the Earth Systems

 

Volume 3 (2024): Issue 3 (Jul 2024)

Online ISSN:
2769-7525
Cover Artificial Intelligence for the Earth Systems
MASTHEAD
Masthead
ARTICLES
Storm Gust Prediction with the Integration of Machine Learning Algorithms and WRF Model Variables for the Northeast United States
Finding the Right XAI Method—A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
Hypoxia Forecasting for Chesapeake Bay Using Artificial Intelligence
UFNet: Joint U-Net and Fully Connected Neural Network to Bias Correct Precipitation Predictions from Climate Models
Learned 1D Passive Scalar Advection to Accelerate Chemical Transport Modeling: A Case Study with GEOS-FP Horizontal Wind Fields
Using Machine Learning to Predict Convection-Allowing Ensemble Forecast Skill: Evaluation with the NSSL Warn-on-Forecast System
Prediction of Tropical Pacific Rain Rates with Overparameterized Neural Networks
Dynamical Tests of a Deep Learning Weather Prediction Model
Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts
Part I: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather Variables
Turning Night into Day: The Creation and Validation of Synthetic Nighttime Visible Imagery Using the Visible Infrared Imaging Radiometer Suite (VIIRS) Day–Night Band (DNB) and Machine Learning
Forecasting Ocean Waves off the U.S. East Coast Using an Ensemble Learning Approach
Neural Networks to Find the Optimal Forcing for Offsetting the Anthropogenic Climate Change Effects
Identifying Climate Patterns Using Clustering Autoencoder Techniques
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations
Classification of Ice Particle Shapes Using Machine Learning on Forward Light Scattering Images
Convolutional Encoding and Normalizing Flows: A Deep Learning Approach for Offshore Wind Speed Probabilistic Forecasting in the Mediterranean Sea
Noise Reduction for Solar-Induced Fluorescence Retrievals Using Machine Learning and Principal Component Analysis: Simulations and Applications to GOME-2 Satellite Retrievals
Modeling Spatial Asymmetries in Teleconnected Extreme Temperatures
LESSONS LEARNED
Part II: Lessons Learned from Predicting Wildfire Occurrence for CONUS Using Deep Learning and Fire Weather Variables
CORRIGENDUM
CORRIGENDUM
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