Meteorological Applications

Aims & Scope

The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Earth and Planetary Sciences, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 2,770.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Global precipitation measurement

  Citation: 418

  Authors: Chris, George

• Remote sensing land surface temperature for meteorology and climatology: a review

  Citation: 334

  Authors: Charlie J., Lee, John E., Christopher

• Fuzzy verification of high‐resolution gridded forecasts: a review and proposed framework

  Citation: 324

  Authors: Elizabeth E.

• Potential applications of subseasonal‐to‐seasonal (<scp>S2S</scp>) predictions

  Citation: 320

  Authors: Christopher J., Henrik, Andrew W., Richard J.T., Jeffrey K., Arun, Frederic, Erin, Andrea J., Virginia, Sukaina, Dave, Rachel, Lora, Andrew P., Bernd, Richard, Erik, Emily, Kathleen V., Neil J., Darryn, Michael, Sarah, Timothy J., Roger, Lindsey, Tomas A., Indi, Carlo, Rob, Holger, Berit, Stephen E.

• A review of methods to calculate extreme wind speeds

  Citation: 290

  Authors: J P, B B, D H, S T

• On the use of Standardized Precipitation Index (SPI) for drought intensity assessment

  Citation: 287

  Authors: M., C. S., M. V. R., P. S.

• Nimrod: a system for generating automated very short range forecasts

  Citation: 282

  Authors: B W

• Optimization of neural networks for precipitation analysis in a humid region to detect drought and wet year alarms

  Citation: 279

  Authors: Mohammad

• Convection‐permitting models: a step‐change in rainfall forecasting

  Citation: 277

  Authors: Peter, Nigel, Humphrey, Susan P., Cristina

• MeteoInfo: GIS software for meteorological data visualization and analysis

  Citation: 269

  Authors: Y. Q.