Advances in Statistical Climatology, Meteorology and Oceanography

Copernicus Publications

Journal websitePeer review: Other
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About the journal

Advances in Statistical Climatology, Meteorology and Oceanography is an open-access journal published by Copernicus Publications in Germany, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 26 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Copernicus Publications
ISSN
2364-3579 · 2364-3587
Country
Germany
Languages
english
Access
Open access
Articles in DOAJ
111
Declared review time
26 weeks
Declared peer-review model
other

Index listings

  • DOAJ · 2016-07-25
Indexing
DOAJ
APC
—
Declared review time (DOAJ)
26 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Articles in DOAJ

111

Most recent article

last month

Average review time (journal-declared via DOAJ)

26weeks

Works in OpenAlex

110

Last recorded publication year

2026

Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

16

i10-index

26

From OpenAlex open data (CC0).

Editorial & policy13
Last DOAJ review date
2022-03-31
Added to DOAJ
2016-07-25
Declared plagiarism screening
Not declared
Other fees beyond APC
No
Declared digital preservation
CLOCKSSPortico
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Editorial board
Official page ↗
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
100%
ORCID iDs in current deposits
81%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
APC waiver policy
View policy
Peer-review policy
View policy
Identity & continuity2
Alternate titles
ASCMO (OnlineASCMO (Print
Source type
journal
Classification6

Subjects (DOAJ)

Geography. Anthropology. Recreation: OceanographyScience: Physics: Meteorology. ClimatologyScience: Mathematics: Probabilities. Mathematical statistics

LCC codes

GC1-1581QC851-999QA273-280

Subject areas

  • Climate variability and models
  • Climate variability and models
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Meteorological Phenomena and Simulations
  • Meteorological Phenomena and Simulations
  • Hydrology and Drought Analysis
  • Hydrology and Drought Analysis
Show all subjects (75)
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Climate Change and Environmental Impact
  • Hydrology and Watershed Management Studies
  • Precipitation Measurement and Analysis
  • Oceanographic and Atmospheric Processes
  • Hydrology and Drought Analysis
  • Statistical Methods and Applications
  • Tropical and Extratropical Cyclones Research
  • Plant Water Relations and Carbon Dynamics
  • Tropical and Extratropical Cyclones Research
  • Plant Water Relations and Carbon Dynamics
  • Tropical and Extratropical Cyclones Research
  • Wind and Air Flow Studies
  • Wind and Air Flow Studies
  • Ocean Waves and Remote Sensing
  • Tree-ring climate responses
  • Climate change impacts on agriculture
  • Tree-ring climate responses
  • Climate change impacts on agriculture
  • Oceanographic and Atmospheric Processes
  • Coastal and Marine Dynamics
  • Oceanographic and Atmospheric Processes
  • Spatial and Panel Data Analysis
  • Ocean Waves and Remote Sensing
  • Precipitation Measurement and Analysis
  • Geology and Paleoclimatology Research
  • Precipitation Measurement and Analysis
  • Statistical Distribution Estimation and Applications
  • Forecasting Techniques and Applications
  • Financial Risk and Volatility Modeling
  • Atmospheric chemistry and aerosols
  • Hydrological Forecasting Using AI
  • Flood Risk Assessment and Management
  • Soil Geostatistics and Mapping
  • Fire effects on ecosystems
  • Complex Systems and Time Series Analysis
  • Soil Geostatistics and Mapping
  • Fire effects on ecosystems
  • Complex Systems and Time Series Analysis
  • Hydrological Forecasting Using AI
  • Atmospheric chemistry and aerosols
  • Flood Risk Assessment and Management
  • Bayesian Methods and Mixture Models
  • Gaussian Processes and Bayesian Inference
  • Cryospheric studies and observations
  • Energy Load and Power Forecasting
  • Gaussian Processes and Bayesian Inference
  • Geology and Paleoclimatology Research
  • Spatial and Panel Data Analysis
  • Cryospheric studies and observations
  • Financial Risk and Volatility Modeling
  • Probability and Risk Models
  • Climate Change Policy and Economics
  • Advanced Statistical Methods and Models
  • Spatial and Panel Data Analysis
  • Energy Load and Power Forecasting
  • Hydrological Forecasting Using AI
  • Gaussian Processes and Bayesian Inference
  • Ocean Waves and Remote Sensing
  • Geology and Paleoclimatology Research
  • Energy Load and Power Forecasting
  • Atmospheric aerosols and clouds
  • Air Quality and Health Impacts
  • Financial Risk and Volatility Modeling
  • Remote Sensing in Agriculture
  • Remote Sensing in Agriculture

Keywords (DOAJ)

  • applied mathematics
  • atmospheric science
  • climate research
  • oceanography
  • statistics
  • meteorology

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Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: