Artificial Intelligence for the Earth Systems

CURRENT ISSUE

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

About the Journal

Artificial Intelligence for the Earth Systems (AIES) 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 science, hydrology, climate science, and ocean sciences. Topics include development of AI/ML, statistical, and hybrid methods and their application; development and application of methods to further the physical understanding of earth system processes from AI/ML models such as explainable and physics-based AI; the use of AI/ML to emulate components of numerical weather and climate models; incorporation of AI/ML into observation and remote sensing platforms; the use of AI/ML for data assimilation and uncertainty quantification; and societal applications of AI/ML for AIES disciplines, including ethical and responsible use of AI/ML and educational research on AI/ML.

ISSN: 2769-7525

AIES is a fully Open Access journal.

Editor in Chief

Amy McGovern, University of Oklahoma

View Full Editorial Board

Open access

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting

Elena Orlova
,
Haokun Liu
,
Raphael Rossellini
,
Benjamin A. Cash
, and
Rebecca Willett
Open access

Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications

Jorge Baño-Medina
,
Maialen Iturbide
,
Jesús Fernández
, and
José Manuel Gutiérrez
Open access

Classification of ice particle shapes using machine learning on forward light scattering images

Carl G. Schmitt
,
Emma Järvinen
,
Martin Schnaiter
,
Dragos Vas
,
Lea Hartl
,
Telayna Wong
, and
Martin Stuefer
Open access
Open access

Neural networks to find the optimal forcing for offsetting the anthropogenic climate change effects

Huiying Ren
,
Jian Lu
,
Z. Jason Hou
,
Tse-Chun Chen
,
L. Ruby Leung
, and
Fukai Liu
Open access

Machine Learning Approach for Spatiotemporal Multivariate Optimization of Environmental Monitoring Sensor Locations

Masudur R Siddiquee
,
Aurelien O Meray
,
Zexuan Xu
,
Hansell Gonzalez-Raymat
,
Thomas Danielson
,
Himanshu Upadhyay
,
Leonel E Lagos
,
Carol Eddy-Dilek
, and
Haruko M Wainwright
Open access

Identifying Climate Patterns using Clustering Autoencoder Techniques

Takuya Kurihana
,
Ilijana Mastilovic
,
Lijing Wang
,
Aurelien Meray
,
Satyarth Praveen
,
Zexuan Xu
,
Milad Memarzadeh
,
Alexander Lavin
, and
Haruko Wainwright
Open access

Noise reduction for solar-induced fluorescence retrievals using machine learning and principal component analysis: simulations and applications to GOME-2 satellite retrievals

Joanna Joiner
,
Yasuko Yoshida
,
Luis Guanter
,
Lok Lamsal
,
Can Li
,
Zachary Fasnacht
,
Philipp Köhler
,
Christian Frankenberg
,
Ying Sun
, and
Nicolas Parazoo
Open access

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

Nazanin Chaichitehrani
,
Ruoying He
, and
Mohammad Nabi Allahdadi
Open access

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

Da Fan
,
Steven J. Greybush
,
Eugene E. Clothiaux
, and
David John Gagne II
Open access

Dynamical Tests of a Deep-Learning Weather Prediction Model

Gregory J. Hakim
and
Sanjit Masanam
Open access
Open access

Using machine learning to predict convection-allowing ensemble forecast skill: Evaluation with the NSSL Warn-on-Forecast System

Corey K. Potvin
,
Montgomery L. Flora
,
Patrick S. Skinner
,
Anthony E. Reinhart
, and
Brian C. Matilla
Open access

Prediction of Tropical Pacific Rain Rates with Over-parameterized Neural Networks

Hojun You
,
Jiayi Wang
,
Raymond K. W. Wong
,
Courtney Schumacher
,
R. Saravanan
, and
Mikyoung Jun
Open access

Part 1: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather Variables

Bethany L. Earnest
,
Amy McGovern
,
Christopher Karstens
, and
Israel Jirak
Open access

Part 2: Lessons Learned from Predicting Wildfire Occurrence for CONUS Using Deep Learning and Fire Weather Variables

Bethany L. Earnest
,
Amy McGovern
,
Christopher Karstens
, and
Israel Jirak
Open access

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

Bryan Shaddy
,
Deep Ray
,
Angel Farguell
,
Valentina Calaza
,
Jan Mandel
,
James Haley
,
Kyle Hilburn
,
Derek V. Mallia
,
Adam Kochanski
, and
Assad Oberai

Most cited articles since 2022:

Free access
Free access

Challenges and Benchmark Datasets for Machine Learning in the Atmospheric Sciences: Definition, Status, and Outlook

Peter D. Dueben
,
Martin G. Schultz
,
Matthew Chantry
,
David John Gagne II
,
David Matthew Hall
, and
Amy McGovern
Free access

Application of Deep Learning to Understanding ENSO Dynamics

Na-Yeon Shin
,
Yoo-Geun Ham
,
Jeong-Hwan Kim
,
Minsu Cho
, and
Jong-Seong Kug
Open access

Emulating the Adaptation of Wind Fields to Complex Terrain with Deep Learning

Louis Le Toumelin
,
Isabelle Gouttevin
,
Nora Helbig
,
Clovis Galiez
,
Mathis Roux
, and
Fatima Karbou
Open access

Cross-Validation Strategy Impacts the Performance and Interpretation of Machine Learning Models

Lily-belle Sweet
,
Christoph Müller
,
Mohit Anand
, and
Jakob Zscheischler
Open access

Carefully Choose the Baseline: Lessons Learned from Applying XAI Attribution Methods for Regression Tasks in Geoscience

Antonios Mamalakis
,
Elizabeth A. Barnes
, and
Imme Ebert-Uphoff
Free access

Seamless Lightning Nowcasting with Recurrent-Convolutional Deep Learning

Jussi Leinonen
,
Ulrich Hamann
, and
Urs Germann
Open access

Improving Medium-Range Ensemble Weather Forecasts with Hierarchical Ensemble Transformers

Zied Ben Bouallègue
,
Jonathan A. Weyn
,
Mariana C. A. Clare
,
Jesper Dramsch
,
Peter Dueben
, and
Matthew Chantry
Open access

Reducing Southern Ocean Shortwave Radiation Errors in the ERA5 Reanalysis with Machine Learning and 25 Years of Surface Observations

Marc D. Mallet
,
Simon P. Alexander
,
Alain Protat
, and
Sonya L. Fiddes
Open access

Global Extreme Heat Forecasting Using Neural Weather Models

Ignacio Lopez-Gomez
,
Amy McGovern
,
Shreya Agrawal
, and
Jason Hickey

Most read articles since 2022:

Free access

Editorial

Amy McGovern
and
Anthony J. Broccoli

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