Artificial Intelligence for the Earth Systems

CURRENT ISSUE

Volume 1, Issue 4

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

Editor in Chief

Amy McGovern, University of Oklahoma

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Free access
Free access

Skillful US Soy-yield Forecasts at Pre-sowing Lead-times

Sem Vijverberg
,
Raed Hamed
, and
Dim Coumou
Free access

A Hybrid Physics-AI Model to Improve Hydrological Forecasts

Yanan Duan
,
Sathish Akula
,
Sanjiv Kumar
,
Wonjun Lee
, and
Sepideh Khajehei

Volume 1 (2022): Issue 4 (Oct 2022)

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

Modeling Spatial Distribution of Snow Water Equivalent by Combining Meteorological and Satellite Data with Lidar Maps

Utkarsh Mital
,
Dipankar Dwivedi
,
Ilhan Özgen-Xian
,
James B. Brown
, and
Carl I. Steefel
Free access

Accurate and Clear Quantitative Precipitation Nowcasting Based on a Deep Learning Model with Consecutive Attention and Rain-Map Discrimination

Ashesh Ashesh
,
Chia-Tung Chang
,
Buo-Fu Chen
,
Hsuan-Tien Lin
,
Boyo Chen
, and
Treng-Shi Huang

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