Artificial Intelligence for the Earth Systems
Bulletin of the American Meteorological Society
Community Science
Earth Interactions
Journal of Applied Meteorology and Climatology
Journal of Atmospheric and Oceanic Technology
Journal of Climate
Journal of Hydrometeorology
Journal of Physical Oceanography
Journal of the Atmospheric Sciences
Monthly Weather Review
Weather and Forecasting
Weather, Climate, and Society
Meteorological Monographs
Artificial Intelligence for the Earth Systems
Bulletin of the American Meteorological Society
Community Science
Earth Interactions
Journal of Applied Meteorology and Climatology
Journal of Atmospheric and Oceanic Technology
Journal of Climate
Journal of Hydrometeorology
Journal of Physical Oceanography
Journal of the Atmospheric Sciences
Monthly Weather Review
Weather and Forecasting
Weather, Climate, and Society
Meteorological Monographs
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.
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
Elena Orlova
,
Haokun Liu
,
Raphael Rossellini
,
Benjamin A. Cash
, and
Rebecca Willett
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
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
Convolutional encoding and normalizing flows: a deep learning approach for offshore wind speed probabilistic forecasting in the Mediterranean Sea
Robin Marcille
,
Pierre Tandeo
,
Maxime Thiébaut
,
Pierre Pinson
, and
Ronan Fablet
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
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
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
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
Forecasting Ocean Waves off the U.S. East Coast Using an Ensemble Learning Approach
Nazanin Chaichitehrani
,
Ruoying He
, and
Mohammad Nabi Allahdadi
Turning Night Into Day: The Creation and Validation of Synthetic Night-time Visible Imagery Using the Visible Infrared Imaging Radiometer Suite (VIIRS) Day-Night Band (DNB) and Machine Learning
Chandra M. Pasillas
,
Christian Kummerow
,
Michael Bell
, and
Steven D. Miller
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
Dynamical Tests of a Deep-Learning Weather Prediction Model
Gregory J. Hakim
and
Sanjit Masanam
Learned 1-D passive scalar advection to accelerate chemical transport modeling: a case study with GEOS-FP horizontal wind fields
Manho Park
,
Zhonghua Zheng
,
Nicole Riemer
, and
Christopher W. Tessum
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
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
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
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
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
Volume 3 (2024): Issue 3 (Jul 2024)
Storm Gust Prediction with the Integration of Machine Learning Algorithms and WRF Model Variables for the Northeast United States
Israt Jahan
,
Diego Cerrai
, and
Marina Astitha
Finding the Right XAI Method—A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
Philine Lou Bommer
,
Marlene Kretschmer
,
Anna Hedström
,
Dilyara Bareeva
, and
Marina M.-C. Höhne
Hypoxia Forecasting for Chesapeake Bay Using Artificial Intelligence
Guangming Zheng
,
Stephanie Schollaert Uz
,
Pierre St-Laurent
,
Marjorie A. M. Friedrichs
,
Amita Mehta
, and
Paul M. DiGiacomo
UFNet: Joint U-Net and Fully Connected Neural Network to Bias Correct Precipitation Predictions from Climate Models
Shuang Yu
,
Indrasis Chakraborty
,
Gemma J. Anderson
,
Donald D. Lucas
,
Yannic Lops
, and
Daniel Galea
CORRIGENDUM
Fatemeh Farokhmanesh
,
Kevin Höhlein
, and
Rüdiger Westermann
Most cited articles since 2022:
Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience
Antonios Mamalakis
,
Elizabeth A. Barnes
, and
Imme Ebert-Uphoff
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
Application of Deep Learning to Understanding ENSO Dynamics
Na-Yeon Shin
,
Yoo-Geun Ham
,
Jeong-Hwan Kim
,
Minsu Cho
, and
Jong-Seong Kug
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
Cross-Validation Strategy Impacts the Performance and Interpretation of Machine Learning Models
Lily-belle Sweet
,
Christoph Müller
,
Mohit Anand
, and
Jakob Zscheischler
Seamless Lightning Nowcasting with Recurrent-Convolutional Deep Learning
Jussi Leinonen
,
Ulrich Hamann
, and
Urs Germann
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
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
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
Global Extreme Heat Forecasting Using Neural Weather Models
Ignacio Lopez-Gomez
,
Amy McGovern
,
Shreya Agrawal
, and
Jason Hickey
Most read articles since 2022:
Editorial
Amy McGovern
and
Anthony J. Broccoli
Submit a journal or BAMS article or organize a special collection or monograph.
Volunteer to be a journal reviewer or submit your name to be considered for a journal editor role.
Public Access to AMS Publications
Information on public access to our peer-reviewed content.
AMS Publications
Journals
BAMS
Monographs
AMS Books
Glossary of Meteorology
State of the Climate
Explaining Extreme Events
AMS Publications
Get Involved with AMS
AMS Online Profile
Publish
Benefits of Publishing with AMS
Author Information
Submit Manuscript
Subscribe
Member Subscription
Non-Member Subscriptions
Institutional Subscriptions
Get Involved with AMS
Follow Us
Follow Us
Contact Us
CONTACT PUBLISHING STAFF
EMAIL & PHONE CONTACTS
Contact Us
Email: amsjol@ametsoc.org
Phone: 617-227-2425
Fax: 617-742-8718
Headquarters:
45 Beacon Street
Boston, MA 02108-3693
DC Office:
1200 New York Ave NW
Suite 500
Washington, DC 200005-3928
Powered by PubFactory