
Academic Journal
Q1Advances in Statistical Climatology, Meteorology and Oceanography
About Advances in Statistical Climatology, Meteorology and Oceanography
About Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography is a peer-reviewed scholarly journal published by Copernicus Publications (Germany). It focuses on Q1. Publication coverage spans 2019-2026.
Key indicators: ISSN 2364-3587, 2364-3579; H-index 11.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
- H-index (11): 11 articles have each received at least 11 citations, indicating growing recognition.
Publishing in Advances in Statistical Climatology, Meteorology and Oceanography
When considering this journal, verify its current indexing status, editorial board, and recent publications to ensure it meets your needs for visibility and credibility.
- Scope fit: Confirm your research aligns with Q1. Off-scope manuscripts are typically desk-rejected quickly.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
- Submission: Submit via the official journal website.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of Advances in Statistical Climatology, Meteorology and Oceanography?
2364-3587, 2364-3579.
Who publishes Advances in Statistical Climatology, Meteorology and Oceanography?
Copernicus Publications.
What are Advances in Statistical Climatology, Meteorology and Oceanography's metrics?
H-index 11.
Where do I submit to Advances in Statistical Climatology, Meteorology and Oceanography?
Via the official website.
Is Advances in Statistical Climatology, Meteorology and Oceanography peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2022-03-31. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
- Aims and scope ↗
- Editorial board ↗
- Instructions for authors ↗
- Peer-review policy ↗
- Publication fees ↗
- Fee waivers ↗
- Licence terms ↗
- Copyright policy ↗
- Preservation policy ↗
Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Climate variability and models; Meteorological Phenomena and Simulations; Hydrology and Drought Analysis; Atmospheric and Environmental Gas Dynamics; Plant Water Relations and Carbon Dynamics; Tropical and Extratropical Cyclones Research.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Non-stationary time series attribution for heatwaves over Europe
Pascal Meurer, Sebastian Buschow, Svenja Szemkus, Petra Friederichs et al.
2026-10-07 · DOI: 10.5194/ascmo-12-243-2026Comparative evaluation of statistical and deep learning methods for high-frequency radar surface current forecasting in a narrow tropical strait
Dhava Gautama, Alifficionaldo Agpri Putra
2026-09-15 · DOI: 10.5194/ascmo-12-221-2026On computing the maximum likelihood estimates for the q -Pareto distribution and application to earthquakes
Fatah Benatia, Mohammed Ridha Kouider
2026-08-25 · DOI: 10.5194/ascmo-12-211-2026Non-stationary GEV models for estimating design sea-states in a changing climate – applications to offshore wind farms along the French coasts
Nicolas Raillard, Coline Poppeschi, Tessa Chevallier, Youen Kervella et al.
2026-06-24 · DOI: 10.5194/ascmo-12-195-2026Intelligent daily rainfall prediction for early warning using deep learning and satellite data: application to Bouaflé and Zuénoula stations, Ivory coast
Satti J. R. Kamenan, Ta M. Youan, Miessan G. Adja, Sandona I. Soro et al.
2026-05-08 · DOI: 10.5194/ascmo-12-173-2026Improving multisite precipitation generators based on generalised linear models
Jakob Benjamin Wessel, Richard E. Chandler
2026-05-05 · DOI: 10.5194/ascmo-12-149-2026Simulation of extreme functionals in meteoceanic data: application to surge evolution over tidal cycles
Nathan Gorse, Olivier Roustant, Jérémy Rohmer, Déborah Idier et al.
2026-04-28 · DOI: 10.5194/ascmo-12-123-2026Robust doubly censored Weibull modelling of NDVI-based burn-scar persistence in satellite time series
Nora Khalil
2026-04-07 · DOI: 10.5194/ascmo-12-111-2026Selecting the best distribution for modeling trends in low, medium, and extreme daily precipitation under climate change
Abubakar Haruna, Juliette Blanchet, Guillaume Evin, Emmanuel Paquet et al.
2026-03-24 · DOI: 10.5194/ascmo-12-87-2026Comparing climate time series – Part 6: Testing equality of autoregressive parameters without assuming equality of noise variances
Timothy DelSole, Michael K. Tippett
2026-03-23 · DOI: 10.5194/ascmo-12-73-2026Asymptotically-unbiased nonparametric estimation of the power spectral density from uniformly-spaced data with missing samples
Cédric Chavanne
2026-02-20 · DOI: 10.5194/ascmo-12-59-2026Joint probabilistic estimates of temperature and precipitation from tree ring-based reconstructions of the last millennium
Kate Marvel, Benjamin Cook, Ensheng Weng, Ram Singh et al.
2026-02-16 · DOI: 10.5194/ascmo-12-43-2026A statistical approach to unveil phytoplankton adaptation to ocean fronts
Théo Garcia, Laurina Oms, Xavier Milhaud, Andrea M. Doglioli et al.
2026-01-30 · DOI: 10.5194/ascmo-12-21-2026Bayesian hierarchical modelling of intensity-duration-frequency curves using a climate model large ensemble
Alexander Lee Rischmuller, Benjamin Poschlod, Jana Sillmann
2026-01-05 · DOI: 10.5194/ascmo-12-1-2026Soil moisture–temperature coupling during extreme warm conditions in 2018 in Sweden: a case study with WRF-CTSM
Iris Mužić, Øivind Hodnebrog, Yeliz A. Yilmaz, Terje K. Berntsen et al.
2025-12-02 · DOI: 10.5194/ascmo-11-273-2025A bi-level spatiotemporal clustering approach and its application to drought extraction
T. Elana Christian, Amit N. Subrahmanya, Brandi Gamelin, Vishwas Rao et al.
2025-11-28 · DOI: 10.5194/ascmo-11-257-2025Post-processing of wind gusts from COSMO-REA6 with a spatial Bayesian hierarchical extreme value model
Philipp Ertz, Petra Friederichs
2025-11-27 · DOI: 10.5194/ascmo-11-229-2025A spatio-temporal weather generator for the temperature over France
Caroline Cognot, Liliane Bel, David Métivier, Sylvie Parey et al.
2025-10-09 · DOI: 10.5194/ascmo-11-203-2025Interpretable seasonal multisite hidden Markov model for stochastic rain generation in France
Emmanuel Gobet, David Métivier, Sylvie Parey
2025-09-08 · DOI: 10.5194/ascmo-11-159-2025A new data-standardization procedure for comprehensive outlier detection in correlated meteorological sensor data
Natalie D. Benschop, Temesgen Zewotir, Rajen N. Naidoo, Delia North et al.
2025-09-05 · DOI: 10.5194/ascmo-11-133-2025Reviews
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Version History
October 9, 2026 at 10:16 pm
October 2, 2026