Modeling Earth Systems and Environment - Springer International Publishing AG | 2025 Impact Factor: 3.6 | Cite Score: 7.1 | SCOPUS Q1

Modeling Earth Systems and Environment - Springer International Publishing AG | 2025 Impact Factor: 3.6 | Cite Score: 7.1 | SCOPUS Q1

• About this Journal:
• Modeling Earth Systems and Environment is a peer-reviewed, interdisciplinary journal that focuses on advanced modeling, simulation, and data-driven analysis related to Earth systems and environmental processes.The peer-reviewed journal Modeling Earth Systems and Environment (MESE) provides a unique publication platform by discussing interdisciplinary problems and approaches through modeling in earth and environment related fields, such as: Earth and environmental engineering; climate change; hydrogeology; aquatic systems and functions. Atmospheric research and water; land use and vegetation change; modeling of forest and agricultural dynamics; and economic and energy systems. Furthermore, the journal combines these topics with modeling of anthropogenic or social phenomena and projections to be used by decision makers.
• The journal publishes high-quality original research, review articles, and technical reports that contribute to understanding natural and human-driven environmental changes.
• It provides a platform for researchers and practitioners working in earth sciences, environmental engineering, climate studies, hydrology, geophysics, and sustainability sciences.
• The journal is published by Springer and supports work that integrates computational modeling with real-world environmental challenges.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Julian Aherne, Daisuke Kitazawa

• Scope of the Journal:
• Earth system modeling, including atmosphere, hydrosphere, biosphere, and geosphere interactions.
• Environmental modeling and simulation for climate change, pollution, sustainability, and natural resource management.
• Hydrological modeling, river basin simulation, and water resource forecasting.
• Climate systems, weather prediction, extreme events, and environmental risk analysis.
• Geospatial analysis, remote sensing data modeling, GIS-based environmental studies.
• Model development for ecological systems, environmental health, and human–environment interactions.
• Computational and mathematical methods for environmental predictions and scenario assessments.
• Machine learning, big data analytics, and AI applications in Earth and environmental science.
• Latest Research Topics for PhD in Computer Science
• Latest Research Topics for PhD in Big Data
• Latest Research Topics for PhD in Machine Learning
• Latest Research Topics for PhD in Artificial Intelligence

• Print ISSN:  23636203

  Electronic ISSN:  23636211

• Abstracting and Indexing:  Scopus

• Imapct Factor 2025:  3.6

• Subject Area and Category:  Statistics, Probability and Uncertainty

• Publication Frequency:  

• H Index:  75

• Best Quartile:

  Q1:  Statistics, Probability and Uncertainty

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  7.1

• SNIP:  1.104

• Journal Rank(SJR):  0.668

• Latest Articles:   Latest Articles in Modeling Earth Systems and Environment - Springer International Publishing AG | 2024 Impact Factor: 2.9 | Cite Score: 6.6 | Q1

• Guidelines for Authors: Modeling Earth Systems and Environment - Springer International Publishing AG | 2024 Impact Factor: 2.9 | Cite Score: 6.6 | Q1 Author Guidelines

• Paper Submissions: Paper Submissions in Modeling Earth Systems and Environment - Springer International Publishing AG | 2024 Impact Factor: 2.9 | Cite Score: 6.6 | Q1

• Publisher:  Springer International Publishing AG

  Country:  Switzerland

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