Intelligent Climate and Eco-Environment publishes high-impact research at the nexus of climate science, environmental systems, health, and artificial intelligence. We seek to accelerate understanding and actionable insights into how atmospheric, terrestrial, and aquatic processes interact and their health effects under climate change, and how novel data-driven methods—from machine learning to hybrid numerical–statistical models—can improve prediction, attribution, mitigation and adaptation.

Aims

Integrate Disciplines: Provide a forum where climate science, environmental geoscience and eco-health converge with AI and data science.

Advance Methods: Showcase cutting-edge modeling approaches (e.g. deep learning, hybrid simulation, receptor analysis) and methodological innovations.

Drive Applications: Translate research into tools for policy, risk assessment, early-warning and sustainable management of air, water, soil and ecosystems.

Foster Collaboration: Build a global community of researchers, practitioners and stakeholders across academia, government and industry.

Scope

We publish original research, reviews and perspectives in, but not limited to, the following areas:

1. Climate Intelligence & Attribution: AI-enhanced seasonal to decadal forecasting; Attribution of extreme events and compound hazards; Data assimilation and bias correction in Earth system models
2. Environmental Geoscience Modeling: Numerical simulation of atmosphere–hydrosphere–biosphere interactions; Receptor/source-apportionment models for air, water and soil pollutants; Hybrid/statistical emulators and surrogate modeling for large-scale systems
3. Eco-Environmental Health: Exposure assessment and epidemiological modeling for air pollution and climate stressors; AI-driven toxicity prediction and risk mapping; Urban resilience: heat islands, flooding and public health analytics
4. Observations & Data Integration: Remote sensing, IoT sensor networks and citizen science data streams; Large-scale data fusion, quality control and uncertainty quantification; Spatiotemporal pattern detection and anomaly identification
5. Mitigation, Adaptation & Policy: Intelligent decision-support systems for emission reduction and resource management; Scenario analysis and policy optimization under uncertainty; Socio-economic impact modeling and stakeholder engagement