About Intelligent Climate and Eco-Environment

Intelligent Climate and Eco-Environment

Overview and identity

Intelligent Climate and Eco-Environment is an English-language, peer-reviewed, fully open access journal based in Beijing, China, and published by KeAi Communications, with publishing services provided by Elsevier. The journal, abbreviated ICEE in its author guidance, publishes high-impact research at the nexus of climate science, environmental systems, health and artificial intelligence. Its stated purpose is to accelerate understanding of how atmospheric, terrestrial and aquatic processes interact, what health effects those interactions produce under climate change, and how novel data-driven methods, from machine learning to hybrid numerical-statistical models, can improve prediction, attribution, mitigation and adaptation. Unusually among the newest KeAi titles, the journal is owned by KeAi itself rather than by a university or learned society: its open access statement records that KeAi retains copyright of the overall compiled journal and the compiled issues, while individual authors retain copyright in their own articles alongside scholarly usage rights.

The journal is already publishing. Its first volume is dated 2026, with articles numbered in the 100001 series and hosted with contents lists on ScienceDirect. Among the earliest papers are an AI-enhanced subseasonal forecasting study introducing a system called DeepMet, a study of disparities in climatic parameters between weather stations and the building microenvironment, and a Fudan University analysis of long-term air pollution exposure and cardiovascular disease. Those first articles confirm that the journal is operating exactly at the intersection its title promises: artificial intelligence methods, applied to climate and environmental processes, with human health as an explicit outcome of interest.

The publisher: KeAi in Beijing

KeAi Communications Co., Ltd. is a Beijing-based open access publishing joint venture co-founded by China Science Publishing and Media and Elsevier, two of the world's leading scientific, technical and medical publishers. KeAi was repurposed as an open access journal publishing service provider in 2013 and has since developed a portfolio of more than 280 scholarly journals across all scientific disciplines. It leverages the publishing and technology capabilities of its parent companies, including the ScienceDirect platform, Editorial Manager submission handling and Elsevier production and data analytics services. For a new journal such as Intelligent Climate and Eco-Environment, that infrastructure matters: articles appear on ScienceDirect, submissions are screened automatically with iThenticate CrossCheck software to detect plagiarism and overlapping text, and authors are encouraged to provide an ORCID identifier at submission. The journal's editorial office contact is in Beijing, at 16 Donghuangchenggen North Street, the KeAi address given in its open access information.

Aims: integration, methods, applications and collaboration

The journal states four aims. The first is to integrate disciplines, providing a forum where climate science, environmental geoscience and eco-health converge with artificial intelligence and data science. The second is to advance methods, showcasing cutting-edge modelling approaches such as deep learning, hybrid simulation and receptor analysis, together with methodological innovations. The third is to drive applications, translating research into tools for policy, risk assessment, early warning and the sustainable management of air, water, soil and ecosystems. The fourth is to foster collaboration, building a global community of researchers, practitioners and stakeholders across academia, government and industry. Read together, the four aims describe a journal that is deliberately positioned between discovery and use: it wants new models, but it also wants those models turned into warnings, decisions and management tools that protect health and ecosystems.

Scope I: climate intelligence, attribution and geoscience modelling

The first of the journal's five scope areas is Climate Intelligence and Attribution. It covers AI-enhanced seasonal to decadal forecasting, the attribution of extreme events and compound hazards, and data assimilation and bias correction in Earth system models. This is the part of the journal concerned with prediction and explanation: whether a heatwave, flood or drought can be forecast further ahead, and whether its likelihood or intensity can be credibly linked to human-caused climate change. The DeepMet paper in the first volume, on AI-enhanced subseasonal forecasting of extreme temperature risks, is a direct example, addressing a timescale, between weather forecasts and seasonal outlooks, that the paper itself notes remains a significant scientific challenge because of the chaotic nature of the atmosphere.

The second area is Environmental Geoscience Modeling. It covers numerical simulation of atmosphere-hydrosphere-biosphere interactions, receptor and source-apportionment models for air, water and soil pollutants, and hybrid or statistical emulators and surrogate modelling for large-scale systems. Where the first area asks what the climate will do and why, this area asks how pollutants and environmental processes move through air, water and soil, and how computationally expensive simulations can be replaced or accelerated by emulators that are fast enough for scenario testing and policy use.

Scope II: eco-environmental health

The third scope area, Eco-Environmental Health, is what most distinguishes the journal from a conventional climate-modelling title. It covers exposure assessment and epidemiological modelling for air pollution and climate stressors, AI-driven toxicity prediction and risk mapping, and urban resilience, including heat islands, flooding and public health analytics. Health is therefore not an afterthought but a core lens: the environment is studied in part through what it does to people.

The Fudan University study published in the journal illustrates the approach. Drawing on 3,103 participants in the China Health and Retirement Longitudinal Study followed over four years, and supported by the National Natural Science Foundation of China, the researchers found that long-term exposure to particulate matter, specifically PM2.5 and PM2.5-10, significantly increased cardiovascular disease risk, with the greatest danger for individuals who already had cardiovascular-kidney-metabolic syndrome. The study further reported that about nine per cent of the PM2.5-related cardiovascular risk was attributed to biological age acceleration. A paper of that kind, combining cohort epidemiology, exposure science and a mechanistic ageing measure, sits precisely inside the journal's declared eco-environmental health remit.

Scope III: observations, data integration, mitigation and policy

The fourth scope area is Observations and Data Integration, covering remote sensing, Internet of Things sensor networks and citizen science data streams, large-scale data fusion, quality control and uncertainty quantification, and spatiotemporal pattern detection and anomaly identification. The emphasis on citizen science and sensor networks alongside satellite remote sensing reflects how environmental observation has changed: data now arrive continuously, from many kinds of instruments and observers, and the scientific problem is increasingly one of fusion, quality control and honest uncertainty rather than simple collection.

The fifth area is Mitigation, Adaptation and Policy, covering intelligent decision-support systems for emission reduction and resource management, scenario analysis and policy optimisation under uncertainty, and socio-economic impact modelling and stakeholder engagement. This closing area completes the journal's arc from observation and modelling to action. A forecasting or attribution paper can end in this journal next to a decision-support paper that uses similar models to choose between emission pathways or adaptation options, which is a deliberate editorial design rather than an accident of breadth.

Article types and peer review

Intelligent Climate and Eco-Environment publishes three article types. Full-length research articles are complete reports of original research and require a structured abstract and a clear structure containing, among other elements, an introduction, materials and methods, results, discussion, conclusions, author contributions, an ethics statement, a conflict-of-interest statement and a bibliography, with appendices including multimedia components where relevant. Review articles are substantial overviews presenting a complete account of the state of the art with a comprehensive bibliography and generally a table of contents; they should cover topics that have seen significant development in recent years and must not include unpublished material. Short communications are short reports or announcements of original and significant material for rapid dissemination, and are expected to have a higher than average impact on the field rather than to report incremental research.

Peer review is single anonymized. Submissions are assessed initially by the editors for suitability; suitable manuscripts are typically sent to a minimum of two reviewers for an independent expert assessment of scientific quality, and the editors' decision on acceptance or rejection is final. Editors are excluded from decisions on papers they have written themselves, papers by family members or colleagues, and papers relating to products or services in which they have an interest; such submissions are handled independently. The stated workflow runs from editorial office screening, through Editor-in-Chief assignment of reviewers, to feedback after at least two reviews, and a final collaborative decision on any revised manuscript.

Open access, charges and licensing

The journal is fully open access: all articles are immediately and permanently free for everyone to read and download. The standard article publishing charge is USD 700 plus taxes, payable by authors or on their behalf by a research funder or institution, but all article publishing charges for papers submitted before 31 December 2028 are fully waived, making publication free to authors during the journal's launch period. Articles are published under the author's choice of Creative Commons licence, either CC BY, which permits copying, adaptation and commercial use with appropriate credit, a link to the licence and an indication of changes, or CC BY-NC-ND, which permits non-commercial distribution and copying without alteration. The journal is published continuously throughout the year rather than in discrete issues, a model that suits a fast-moving field in which forecasting methods and environmental datasets are updated constantly.

Readership and place in the field

The journal's intended community spans climate scientists, environmental geoscientists, exposure and health researchers, remote-sensing and data specialists, and the practitioners and policymakers who use early-warning, risk-assessment and decision-support tools. Its position is distinctive because it refuses to separate those groups: a single venue accepts the forecasting model, the epidemiological analysis of the hazard the model predicts, and the policy optimisation that responds to both. For WorldNM's directory of Chinese magazines and scholarly journals, Intelligent Climate and Eco-Environment is recorded at its Beijing base, with its official KeAi journal page as its website, as a new but already-publishing open access title whose first volume demonstrates, in verifiable articles, the climate-intelligence and eco-health programme its aims describe.