Call for Submissions: Join the New Frontier of "Big Data and Earth System"

[Zhuo Liu]

Dear Geoscientists,

On behalf of the editorial board, I am excited to invite you to submit your latest research to Big Data and Earth System (ISSN: 3050-7405). Launched in late 2025, our journal serves as an interdisciplinary beacon, integrating advanced Big Data analytics and computational approaches within the Earth System Sciences.

Why Publish with Us?

• Global Visibility: Your work will be hosted on ScienceDirect, ensuring wide accessibility and impact.
  
• Expert Editorial Leadership: Led by Editor-in-Chief Jianghai Xia (Zhejiang University) and a distinguished international team of Deputy Editors from Peking University, the University of Manchester, and Arizona State University .
  
• Interdisciplinary Mission: We bridge the gap between data science and earth sciences to enhance our understanding of Earth systems and contribute to global sustainability.
  

Our Scope Includes:

• Novel AI Methodologies for monitoring and predicting Earth system processes.
  
• Computational Models and Simulations for atmospheric, oceanic, and deep-earth dynamics.
  
• Big Data in Earth Observation, leveraging satellite imagery and sensor networks.
  
• Natural Processes Affecting Humans, including climate change and natural disaster management.
  
• Data Management and Visualization for large-scale geospatial datasets.
  

We have recently published the first issue of the volume 2 (March 2026, attached), featuring cutting-edge research on using LLMs for hydrology analysis and interdisciplinary study between AI research and GIS tasks.

Ready to Submit? Please visit our journal homepage for submission guidelines and to upload your manuscript:

http://www.keaipublishing.com/en/journals/big-data-and-earth-system/

For any inquiries, feel free to contact our editorial office at 

one_...@zju.edu.cn

We look forward to receiving your innovative contributions and working together to advance the field of Earth system science through the power of big data.

Best regards,

-------
Zhuo Liu, Ph.D.
Postdoctoral scholar of Mineral-X at the Earth and Planetary Sciences Department, 

Stanford University