Recently added

Airborne Radar Quality Control with Machine Learning

DesRosiers, Alexander J.; Bell, Michael M. (American Meteorological Society, 2024)

Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts

Shaddy, Bryan; Ray, Deep; Farguell, Angel; Calaza, Valentina; Mandel, Jan; Haley, James; Hilburn, Kyle; Mallia, Derek V.; Kochanski, Adam; Oberai, Assad (American Meteorological Society, 2024)

A Rose by Any Other Name: On Basic Scores from the 2 × 2 Table and the Plethora of Names Attached to Them

Brooks, Harold E.; Flora, Montgomery L.; Baldwin, Michael E. (American Meteorological Society, 2024)

Part I: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather Variables

Earnest, Bethany L.; McGovern, Amy; Karstens, Christopher; Jirak, Israel (American Meteorological Society, 2024)

Modeling Spatial Asymmetries in Teleconnected Extreme Temperatures

Krock, Mitchell L.; Bessac, Julie; Stein, Michael L. (American Meteorological Society, 2024)

A Convolutional Neural Network for Tropical Cyclone Wind Structure Identification in Kilometer-Scale Forecasts

Raynaud, L.; Faure, G.; Puig, M.; Dauvilliers, C.; Trosino, J.-N.; Béjean, P. (American Meteorological Society, 2024)

Neural Networks to Find the Optimal Forcing for Offsetting the Anthropogenic Climate Change Effects

Ren, Huiying; Lu, Jian; Hou, Z. Jason; Chen, Tse-Chun; Leung, L. Ruby; Liu, Fukai (American Meteorological Society, 2024)

Forecasting Ocean Waves off the U.S. East Coast Using an Ensemble Learning Approach

Chaichitehrani, Nazanin; He, Ruoying; Allahdadi, Mohammad Nabi (American Meteorological Society, 2024)

Transformer-Based Nowcasting of Radar Composites from Satellite Images for Severe Weather

Küçük, Çağlar; Giannakos, Apostolos; Schneider, Stefan; Jann, Alexander (American Meteorological Society, 2024)

Automated Large-Scale Tornado Treefall Detection and Directional Analysis Using Machine Learning

Butt, Daniel G.; Jaffe, Aaron L.; Miller, Connell S.; Kopp, Gregory A.; Sills, David M. L. (American Meteorological Society, 2024)

Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction

Momoi, Masahiro; Kotsuki, Shunji; Kikuchi, Ryota; Watanabe, Satoshi; Yamada, Masafumi; Abe, Shiori (American Meteorological Society, 2023)

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting

Orlova, Elena; Liu, Haokun; Rossellini, Raphael; Cash, Benjamin A.; Willett, Rebecca (American Meteorological Society, 2024)

Deep Learning Image Segmentation for Atmospheric Rivers

Galea, Daniel; Ma, Hsi-Yen; Wu, Wen-Ying; Kobayashi, Daigo (American Meteorological Society, 2024)

Physics-Inspired Adaptions to Low-Parameter Neural Network Weather Forecast Systems

Scher, Sebastian; Messori, Gabriele (American Meteorological Society, 2024)

A 1D CNN-Based Emulator of CMAQ: Predicting NO2 Concentration over the Most Populated Urban Regions in Texas

Payami, Mahsa; Choi, Yunsoo; Salman, Ahmed Khan; Mousavinezhad, Seyedali; Park, Jincheol; Pouyaei, Arman (American Meteorological Society, 2024)

Limitations of XAI Methods for Process-Level Understanding in the Atmospheric Sciences

Silva, Sam J.; Keller, Christoph A. (American Meteorological Society, 2024)

Machine Learning–Based Lightning Parameterizations for the CONUS

Cheng, Wei-Yi; Kim, Daehyun; Henderson, Scott; Ham, Yoo-Geun; Kim, Jeong-Hwan; Holzworth, Rober H. (American Meteorological Society, 2024)

Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data

Zhen, Zhiwei; Lee, Huikyo; Segovia-Dominguez, Ignacio; Huang, Meichen; Chen, Yuzhou; Garay, Michael; Crichton, Daniel; Gel, Yulia R. (American Meteorological Society, 2024)

Storm Gust Prediction with the Integration of Machine Learning Algorithms and WRF Model Variables for the Northeast United States

Jahan, Israt; Cerrai, Diego; Astitha, Marina (American Meteorological Society, 2024)

Self-Supervised Cloud Classification

Geiss, Andrew; Christensen, Matthew W.; Varble, Adam C.; Yuan, Tianle; Song, Hua (American Meteorological Society, 2024)

YaBeSH Engineering and Technology Library

Archive

Artificial Intelligence for the Earth Systems: Recent submissions

Airborne Radar Quality Control with Machine Learning

Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts

A Rose by Any Other Name: On Basic Scores from the 2 × 2 Table and the Plethora of Names Attached to Them

Part I: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather Variables

Modeling Spatial Asymmetries in Teleconnected Extreme Temperatures

A Convolutional Neural Network for Tropical Cyclone Wind Structure Identification in Kilometer-Scale Forecasts

Neural Networks to Find the Optimal Forcing for Offsetting the Anthropogenic Climate Change Effects

Forecasting Ocean Waves off the U.S. East Coast Using an Ensemble Learning Approach

Transformer-Based Nowcasting of Radar Composites from Satellite Images for Severe Weather

Automated Large-Scale Tornado Treefall Detection and Directional Analysis Using Machine Learning

Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting

Deep Learning Image Segmentation for Atmospheric Rivers

Physics-Inspired Adaptions to Low-Parameter Neural Network Weather Forecast Systems

A 1D CNN-Based Emulator of CMAQ: Predicting NO2 Concentration over the Most Populated Urban Regions in Texas

Limitations of XAI Methods for Process-Level Understanding in the Atmospheric Sciences

Machine Learning–Based Lightning Parameterizations for the CONUS

Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data

Storm Gust Prediction with the Integration of Machine Learning Algorithms and WRF Model Variables for the Northeast United States

Self-Supervised Cloud Classification

Artificial Intelligence for the Earth Systems: Recent submissions

Airborne Radar Quality Control with Machine Learning ﻿

Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts ﻿

A Rose by Any Other Name: On Basic Scores from the 2 × 2 Table and the Plethora of Names Attached to Them ﻿

Part I: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather Variables ﻿

Modeling Spatial Asymmetries in Teleconnected Extreme Temperatures ﻿

A Convolutional Neural Network for Tropical Cyclone Wind Structure Identification in Kilometer-Scale Forecasts ﻿

Neural Networks to Find the Optimal Forcing for Offsetting the Anthropogenic Climate Change Effects ﻿

Forecasting Ocean Waves off the U.S. East Coast Using an Ensemble Learning Approach ﻿

Transformer-Based Nowcasting of Radar Composites from Satellite Images for Severe Weather ﻿

Automated Large-Scale Tornado Treefall Detection and Directional Analysis Using Machine Learning ﻿

Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction ﻿

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting ﻿

Deep Learning Image Segmentation for Atmospheric Rivers ﻿

Physics-Inspired Adaptions to Low-Parameter Neural Network Weather Forecast Systems ﻿

A 1D CNN-Based Emulator of CMAQ: Predicting NO2 Concentration over the Most Populated Urban Regions in Texas ﻿

Limitations of XAI Methods for Process-Level Understanding in the Atmospheric Sciences ﻿

Machine Learning–Based Lightning Parameterizations for the CONUS ﻿

Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data ﻿

Storm Gust Prediction with the Integration of Machine Learning Algorithms and WRF Model Variables for the Northeast United States ﻿

Self-Supervised Cloud Classification ﻿

Airborne Radar Quality Control with Machine Learning

Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts

A Rose by Any Other Name: On Basic Scores from the 2 × 2 Table and the Plethora of Names Attached to Them

Part I: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather Variables

Modeling Spatial Asymmetries in Teleconnected Extreme Temperatures

A Convolutional Neural Network for Tropical Cyclone Wind Structure Identification in Kilometer-Scale Forecasts

Neural Networks to Find the Optimal Forcing for Offsetting the Anthropogenic Climate Change Effects

Forecasting Ocean Waves off the U.S. East Coast Using an Ensemble Learning Approach

Transformer-Based Nowcasting of Radar Composites from Satellite Images for Severe Weather

Automated Large-Scale Tornado Treefall Detection and Directional Analysis Using Machine Learning

Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting

Deep Learning Image Segmentation for Atmospheric Rivers

Physics-Inspired Adaptions to Low-Parameter Neural Network Weather Forecast Systems

A 1D CNN-Based Emulator of CMAQ: Predicting NO2 Concentration over the Most Populated Urban Regions in Texas

Limitations of XAI Methods for Process-Level Understanding in the Atmospheric Sciences

Machine Learning–Based Lightning Parameterizations for the CONUS

Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data

Storm Gust Prediction with the Integration of Machine Learning Algorithms and WRF Model Variables for the Northeast United States

Self-Supervised Cloud Classification