Recently added

Convolutional Encoding and Normalizing Flows: A Deep Learning Approach for Offshore Wind Speed Probabilistic Forecasting in the Mediterranean Sea

Marcille, Robin; Tandeo, Pierre; Thiébaut, Maxime; Pinson, Pierre; Fablet, Ronan (American Meteorological Society, 2024)

Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone–Driven Storm Tides and Inundation

Pringle, William J.; Burnett, Zachary; Sargsyan, Khachik; Moghimi, Saeed; Myers, Edward (American Meteorological Society, 2023)

Using Machine Learning to Predict Convection-Allowing Ensemble Forecast Skill: Evaluation with the NSSL Warn-on-Forecast System

Potvin, Corey K.; Flora, Montgomery L.; Skinner, Patrick S.; Reinhart, Anthony E.; Matilla, Brian C. (American Meteorological Society, 2024)

Prediction of Tropical Pacific Rain Rates with Overparameterized Neural Networks

You, Hojun; Wang, Jiayi; Wong, Raymond K. W.; Schumacher, Courtney; Saravanan, R.; Jun, Mikyoung (American Meteorological Society, 2024)

Deep Learning Parameterization of Vertical Wind Velocity Variability via Constrained Adversarial Training

Barahona, Donifan; Breen, Katherine H.; Kalesse-Los, Heike; Röttenbacher, Johannes (American Meteorological Society, 2024)

Masthead

Unknown author (American Meteorological Society, 2024)

Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations

Fan, Da; Greybush, Steven J.; Clothiaux, Eugene E.; Gagne, David John (American Meteorological Society, 2024)

Generative Ensemble Deep Learning Severe Weather Prediction from a Deterministic Convection-Allowing Model

Sha, Yingkai; Sobash, Ryan A.; Gagne, David John (American Meteorological Society, 2024)

Masthead

Unknown author (American Meteorological Society, 2024)

Identifying Climate Patterns Using Clustering Autoencoder Techniques

Kurihana, Takuya; Mastilovic, Ilijana; Wang, Lijing; Meray, Aurelien; Praveen, Satyarth; Xu, Zexuan; Memarzadeh, Milad; Lavin, Alexander; Wainwright, Haruko (American Meteorological Society, 2024)

Dynamical Tests of a Deep Learning Weather Prediction Model

Hakim, Gregory J.; Masanam, Sanjit (American Meteorological Society, 2024)

Noise Reduction for Solar-Induced Fluorescence Retrievals Using Machine Learning and Principal Component Analysis: Simulations and Applications to GOME-2 Satellite Retrievals

Joiner, Joanna; Yoshida, Yasuko; Guanter, Luis; Lamsal, Lok; Li, Can; Fasnacht, Zachary; Köhler, Philipp; Frankenberg, Christian; Sun, Ying; Parazoo, Nicholas (American Meteorological Society, 2024)

Subseasonal Prediction of Central European Summer Heatwaves with Linear and Random Forest Machine Learning Models

Weirich-Benet, Elizabeth; Pyrina, Maria; Jiménez-Esteve, Bernat; Fraenkel, Ernest; Cohen, Judah; Domeisen, Daniela I. V. (American Meteorological Society, 2023)

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

Pasillas, Chandra M.; Kummerow, Christian; Bell, Michael; Miller, Steven D. (American Meteorological Society, 2024)

Learned 1D Passive Scalar Advection to Accelerate Chemical Transport Modeling: A Case Study with GEOS-FP Horizontal Wind Fields

Park, Manho; Zheng, Zhonghua; Riemer, Nicole; Tessum, Christopher W. (American Meteorological Society, 2024)

YaBeSH Engineering and Technology Library

Archive

Artificial Intelligence for the Earth Systems: Recent submissions

Convolutional Encoding and Normalizing Flows: A Deep Learning Approach for Offshore Wind Speed Probabilistic Forecasting in the Mediterranean Sea

Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone–Driven Storm Tides and Inundation

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

Deep Learning Parameterization of Vertical Wind Velocity Variability via Constrained Adversarial Training

Masthead

Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations

Generative Ensemble Deep Learning Severe Weather Prediction from a Deterministic Convection-Allowing Model

Masthead

Identifying Climate Patterns Using Clustering Autoencoder Techniques

Dynamical Tests of a Deep Learning Weather Prediction Model

Noise Reduction for Solar-Induced Fluorescence Retrievals Using Machine Learning and Principal Component Analysis: Simulations and Applications to GOME-2 Satellite Retrievals

Subseasonal Prediction of Central European Summer Heatwaves with Linear and Random Forest Machine Learning Models

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

Learned 1D Passive Scalar Advection to Accelerate Chemical Transport Modeling: A Case Study with GEOS-FP Horizontal Wind Fields

Classification of Ice Particle Shapes Using Machine Learning on Forward Light Scattering Images

UFNet: Joint U-Net and Fully Connected Neural Network to Bias Correct Precipitation Predictions from Climate Models

Enhancing Regional Climate Downscaling through Advances in Machine Learning

Masthead

Postprocessing of Ensemble Weather Forecasts Using Permutation-Invariant Neural Networks

Artificial Intelligence for the Earth Systems: Recent submissions

Convolutional Encoding and Normalizing Flows: A Deep Learning Approach for Offshore Wind Speed Probabilistic Forecasting in the Mediterranean Sea ﻿

Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone–Driven Storm Tides and Inundation ﻿

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 ﻿

Deep Learning Parameterization of Vertical Wind Velocity Variability via Constrained Adversarial Training ﻿

Masthead ﻿

Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations ﻿

Generative Ensemble Deep Learning Severe Weather Prediction from a Deterministic Convection-Allowing Model ﻿

Masthead ﻿

Identifying Climate Patterns Using Clustering Autoencoder Techniques ﻿

Dynamical Tests of a Deep Learning Weather Prediction Model ﻿

Noise Reduction for Solar-Induced Fluorescence Retrievals Using Machine Learning and Principal Component Analysis: Simulations and Applications to GOME-2 Satellite Retrievals ﻿

Subseasonal Prediction of Central European Summer Heatwaves with Linear and Random Forest Machine Learning Models ﻿

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 ﻿

Learned 1D Passive Scalar Advection to Accelerate Chemical Transport Modeling: A Case Study with GEOS-FP Horizontal Wind Fields ﻿

Classification of Ice Particle Shapes Using Machine Learning on Forward Light Scattering Images ﻿

UFNet: Joint U-Net and Fully Connected Neural Network to Bias Correct Precipitation Predictions from Climate Models ﻿

Enhancing Regional Climate Downscaling through Advances in Machine Learning ﻿

Masthead ﻿

Postprocessing of Ensemble Weather Forecasts Using Permutation-Invariant Neural Networks ﻿

Convolutional Encoding and Normalizing Flows: A Deep Learning Approach for Offshore Wind Speed Probabilistic Forecasting in the Mediterranean Sea

Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone–Driven Storm Tides and Inundation

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

Deep Learning Parameterization of Vertical Wind Velocity Variability via Constrained Adversarial Training

Masthead

Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations

Generative Ensemble Deep Learning Severe Weather Prediction from a Deterministic Convection-Allowing Model

Masthead

Identifying Climate Patterns Using Clustering Autoencoder Techniques

Dynamical Tests of a Deep Learning Weather Prediction Model

Noise Reduction for Solar-Induced Fluorescence Retrievals Using Machine Learning and Principal Component Analysis: Simulations and Applications to GOME-2 Satellite Retrievals

Subseasonal Prediction of Central European Summer Heatwaves with Linear and Random Forest Machine Learning Models

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

Learned 1D Passive Scalar Advection to Accelerate Chemical Transport Modeling: A Case Study with GEOS-FP Horizontal Wind Fields

Classification of Ice Particle Shapes Using Machine Learning on Forward Light Scattering Images

UFNet: Joint U-Net and Fully Connected Neural Network to Bias Correct Precipitation Predictions from Climate Models

Enhancing Regional Climate Downscaling through Advances in Machine Learning

Masthead

Postprocessing of Ensemble Weather Forecasts Using Permutation-Invariant Neural Networks