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Perspectives on AI Architectures and Codesign for Earth System Predictability

Mudunuru, Maruti K.; Ang, James; Halappanavar, Mahantesh; Hammond, Simon D.; Gokhale, Maya B.; Hoe, James C.; Krishna, Tushar; Sreepathi, Sarat; Norman, Matthew R.; Peng, Ivy B.; Jones, Philip W. (American Meteorological Society, 2024)

Deep Learning–Based Parameter Transfer in Meteorological Data

Farokhmanesh, Fatemeh; Höhlein, Kevin; Necker, Tobias; Weissmann, Martin; Miyoshi, Takemasa; Westermann, Rüdiger (American Meteorological Society, 2023)

Improvement in Forecasting Short-Term Tropical Cyclone Intensity Change and Their Rapid Intensification Using Deep Learning

Kim, Jeong-Hwan; Ham, Yoo-Geun; Kim, Daehyun; Li, Tim; Ma, Chen (American Meteorological Society, 2024)

Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers

Bouallègue, Zied Ben; Weyn, Jonathan A.; Clare, Mariana C. A.; Dramsch, Jesper; Dueben, Peter; Chantry, Matthew (American Meteorological Society, 2024)

Machine Learning Estimation of Maximum Vertical Velocity from Radar

Chase, Randy J.; McGovern, Amy; Homeyer, Cameron R.; Marinescu, Peter J.; Potvin, Corey K. (American Meteorological Society, 2024)

A Machine Learning Explainability Tutorial for Atmospheric Sciences

Flora, Montgomery L.; Potvin, Corey K.; McGovern, Amy; Handler, Shawn (American Meteorological Society, 2024)

Two-Step Hyperparameter Optimization Method: Accelerating Hyperparameter Search by Using a Fraction of a Training Dataset

Yu, Sungduk; Ma, Po-Lun; Singh, Balwinder; Silva, Sam; Pritchard, Mike (American Meteorological Society, 2024)

Hypoxia Forecasting for Chesapeake Bay Using Artificial Intelligence

Zheng, Guangming; Schollaert Uz, Stephanie; St-Laurent, Pierre; Friedrichs, Marjorie A. M.; Mehta, Amita; DiGiacomo, Paul M. (American Meteorological Society, 2024)

Statistical Treatment of Convolutional Neural Network Superresolution of Inland Surface Wind for Subgrid-Scale Variability Quantification

Getter, Daniel; Bessac, Julie; Rudi, Johann; Feng, Yan (American Meteorological Society, 2024)

Investigating Differences between Tropical Cyclone Detection Systems

Galea, Daniel; Hodges, Kevin; Lawrence, Bryan N. (American Meteorological Society, 2024)

Development of a Full-Scale Connected U-Net for Reflectivity Inpainting in Spaceborne Radar Blind Zones

King, Fraser; Pettersen, Claire; Fletcher, Christopher G.; Geiss, Andrew (American Meteorological Society, 2024)

CORRIGENDUM

Farokhmanesh, Fatemeh; Höhlein, Kevin; Westermann, Rüdiger (American Meteorological Society, 2024)

Detail Enhancement of AIRS/AMSU Temperature and Moisture Profiles Using a 3D Deep Neural Network

Milstein, Adam B.; Santanello, Joseph A.; Blackwell, William J. (American Meteorological Society, 2023)

Exploring the Use of Machine Learning to Improve Vertical Profiles of Temperature and Moisture

Haynes, Katherine; Stock, Jason; Dostalek, Jack; Anderson, Charles; Ebert-Uphoff, Imme (American Meteorological Society, 2024)

Multivariate Emulation of Kilometer-Scale Numerical Weather Predictions with Generative Adversarial Networks: A Proof of Concept

Brochet, Clément; Raynaud, Laure; Thome, Nicolas; Plu, Matthieu; Rambour, Clément (American Meteorological Society, 2023)

Can a Machine Learning–Enabled Numerical Model Help Extend Effective Forecast Range through Consistently Trained Subgrid-Scale Models?

Qu, Yongquan; Shi, Xiaoming (American Meteorological Society, 2023)

YaBeSH Engineering and Technology Library

Archive

Artificial Intelligence for the Earth Systems: Recent submissions

Perspectives on AI Architectures and Codesign for Earth System Predictability

Deep Learning–Based Parameter Transfer in Meteorological Data

Improvement in Forecasting Short-Term Tropical Cyclone Intensity Change and Their Rapid Intensification Using Deep Learning

Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers

Machine Learning Estimation of Maximum Vertical Velocity from Radar

A Machine Learning Explainability Tutorial for Atmospheric Sciences

Two-Step Hyperparameter Optimization Method: Accelerating Hyperparameter Search by Using a Fraction of a Training Dataset

Hypoxia Forecasting for Chesapeake Bay Using Artificial Intelligence

Statistical Treatment of Convolutional Neural Network Superresolution of Inland Surface Wind for Subgrid-Scale Variability Quantification

Investigating Differences between Tropical Cyclone Detection Systems

Development of a Full-Scale Connected U-Net for Reflectivity Inpainting in Spaceborne Radar Blind Zones

CORRIGENDUM

Detail Enhancement of AIRS/AMSU Temperature and Moisture Profiles Using a 3D Deep Neural Network

Exploring the Use of Machine Learning to Improve Vertical Profiles of Temperature and Moisture

Multivariate Emulation of Kilometer-Scale Numerical Weather Predictions with Generative Adversarial Networks: A Proof of Concept

TCDetect: A New Method of Detecting the Presence of Tropical Cyclones Using Deep Learning

Physics-Informed Deep Neural Network for Backward-in-Time Prediction: Application to Rayleigh–Bénard Convection

Strictly Enforcing Invertibility and Conservation in CNN-Based Super Resolution for Scientific Datasets

Masthead

Can a Machine Learning–Enabled Numerical Model Help Extend Effective Forecast Range through Consistently Trained Subgrid-Scale Models?

Artificial Intelligence for the Earth Systems: Recent submissions

Perspectives on AI Architectures and Codesign for Earth System Predictability ﻿

Deep Learning–Based Parameter Transfer in Meteorological Data ﻿

Improvement in Forecasting Short-Term Tropical Cyclone Intensity Change and Their Rapid Intensification Using Deep Learning ﻿

Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers ﻿

Machine Learning Estimation of Maximum Vertical Velocity from Radar ﻿

A Machine Learning Explainability Tutorial for Atmospheric Sciences ﻿

Two-Step Hyperparameter Optimization Method: Accelerating Hyperparameter Search by Using a Fraction of a Training Dataset ﻿

Hypoxia Forecasting for Chesapeake Bay Using Artificial Intelligence ﻿

Statistical Treatment of Convolutional Neural Network Superresolution of Inland Surface Wind for Subgrid-Scale Variability Quantification ﻿

Investigating Differences between Tropical Cyclone Detection Systems ﻿

Development of a Full-Scale Connected U-Net for Reflectivity Inpainting in Spaceborne Radar Blind Zones ﻿

CORRIGENDUM ﻿

Detail Enhancement of AIRS/AMSU Temperature and Moisture Profiles Using a 3D Deep Neural Network ﻿

Exploring the Use of Machine Learning to Improve Vertical Profiles of Temperature and Moisture ﻿

Multivariate Emulation of Kilometer-Scale Numerical Weather Predictions with Generative Adversarial Networks: A Proof of Concept ﻿

TCDetect: A New Method of Detecting the Presence of Tropical Cyclones Using Deep Learning ﻿

Physics-Informed Deep Neural Network for Backward-in-Time Prediction: Application to Rayleigh–Bénard Convection ﻿

Strictly Enforcing Invertibility and Conservation in CNN-Based Super Resolution for Scientific Datasets ﻿

Masthead ﻿

Can a Machine Learning–Enabled Numerical Model Help Extend Effective Forecast Range through Consistently Trained Subgrid-Scale Models? ﻿

Perspectives on AI Architectures and Codesign for Earth System Predictability

Deep Learning–Based Parameter Transfer in Meteorological Data

Improvement in Forecasting Short-Term Tropical Cyclone Intensity Change and Their Rapid Intensification Using Deep Learning

Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers

Machine Learning Estimation of Maximum Vertical Velocity from Radar

A Machine Learning Explainability Tutorial for Atmospheric Sciences

Two-Step Hyperparameter Optimization Method: Accelerating Hyperparameter Search by Using a Fraction of a Training Dataset

Hypoxia Forecasting for Chesapeake Bay Using Artificial Intelligence

Statistical Treatment of Convolutional Neural Network Superresolution of Inland Surface Wind for Subgrid-Scale Variability Quantification

Investigating Differences between Tropical Cyclone Detection Systems

Development of a Full-Scale Connected U-Net for Reflectivity Inpainting in Spaceborne Radar Blind Zones

CORRIGENDUM

Detail Enhancement of AIRS/AMSU Temperature and Moisture Profiles Using a 3D Deep Neural Network

Exploring the Use of Machine Learning to Improve Vertical Profiles of Temperature and Moisture

Multivariate Emulation of Kilometer-Scale Numerical Weather Predictions with Generative Adversarial Networks: A Proof of Concept

TCDetect: A New Method of Detecting the Presence of Tropical Cyclones Using Deep Learning

Physics-Informed Deep Neural Network for Backward-in-Time Prediction: Application to Rayleigh–Bénard Convection

Strictly Enforcing Invertibility and Conservation in CNN-Based Super Resolution for Scientific Datasets

Masthead

Can a Machine Learning–Enabled Numerical Model Help Extend Effective Forecast Range through Consistently Trained Subgrid-Scale Models?