Intelligent Earth System Science: Modeling Interwoven Planetary Dynamics

Topic Information

Dear Colleagues,

Understanding the Earth system requires moving beyond isolated disciplinary domains to decipher complex, interconnected planetary feedback loops. As we face unprecedented environmental shifts, Intelligent Earth System Science (IESS) has emerged as a critical paradigm—leveraging Artificial Intelligence and Machine Learning (AI/ML) to model non-linear interactions across the atmosphere, hydrosphere, biosphere, and geosphere with unparalleled accuracy and computational efficiency.

This Topic focuses on the deployment of data-driven frameworks and hybrid AI–physics paradigms to bridge localized observations with global system dynamics. We welcome cutting-edge contributions demonstrating intelligent modeling across key ESS domains, including:

• Atmospheric and Climate Dynamics: Hybrid AI–physics modeling for climate projections, non-linear atmospheric chemistry, deep convection tracking, and climate-responsive risk assessments for compounding hazards like wildfires and air pollution.
• Geospatial Intelligence and Earth Observation: Multi-sensor data fusion (optical, radar, stereo DEMs) for fine-scale land-use change, coastal dynamics, urban sprawl tracking, precision agriculture, vessel trajectory analytics (AIS) for marine monitoring, and high-resolution GPS crustal velocity fields.
• Hydrosphere and Marine Systems: AI-driven water quality monitoring and resource management in heavily impacted coastal waters, river systems, and aquatic environments.

We invite original research, review articles, and novel methodological frameworks that harness intelligence to advance predictive capability, system consistency, and planetary stewardship.

Prof. Dr. Eliseo Clementini
Prof. Dr. Riccardo Buccolieri
Prof. Dr. Charles Jones
Prof. Dr. Karoly Nemeth
Dr. Katsu Goda
Prof. Dr. Rajib Shaw
Dr. Ignacio J. Diaz-Maroto
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Climate climate	4.0	6.5	2013	20.5 Days	CHF 1800	Submit
Conservation conservation	1.9	3.5	2021	23.6 Days	CHF 1200	Submit
Earth earth	4.0	5.3	2020	19 Days	CHF 1400	Submit
Geographies geographies	2.3	3.6	2021	19.6 Days	CHF 1200	Submit
GeoHazards geohazards	2.3	2.6	2020	18.9 Days	CHF 1400	Submit
Geosciences geosciences	2.3	4.4	2011	22.7 Days	CHF 1800	Submit
Hydrology hydrology	3.1	6.0	2014	16.5 Days	CHF 1800	Submit
Oceans oceans	2.5	2.6	2020	27.2 Days	CHF 1600	Submit
Resources resources	4.3	7.3	2012	20.3 Days	CHF 1800	Submit

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers