Earth System Science Data

SJR Rank #157H-index: 136SJR: 7.199Best quartile: Q1Open AccessAPC: US$1,509Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

Copernicus Publications

Country

Germany

Type

journal

SJR by Edition

2022202502468

Subject Categories

  • Earth and Planetary Sciences (miscellaneous)Q1

Areas: Earth and Planetary Sciences

Most published research topics

Cryospheric studies and observationsAtmospheric and Environmental Gas DynamicsClimate variability and modelsClimate change and permafrostAtmospheric chemistry and aerosolsMarine and coastal ecosystemsMeteorological Phenomena and SimulationsArctic and Antarctic ice dynamicsHydrology and Watershed Management StudiesOceanographic and Atmospheric Processes

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0200400600800

Documents per Year

20222025085170255340

Detailed Information

ISSN

1866-3516, 1866-3508

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

12.79

References per Document

76.15

Coverage

2009-2026

Scope

Earth System Science Data (ESSD) is an international, interdisciplinary journal for the publication of articles on original research data (sets), furthering the reuse of high-quality data of benefit to Earth system sciences. The editors encourage submissions on original data or data collections which are of sufficient quality and have the potential to contribute to these aims. The journal maintains sections for regular-length articles, brief communications (e.g. on additions to data sets) and commentaries, as well as review articles and special issues. Articles in the data section may pertain to the planning, instrumentation, and execution of experiments or collection of data. Any interpretation of data is outside the scope of regular articles. Articles on methods describe nontrivial statistical and other methods employed (e.g. to filter, normalize, or convert raw data to primary published data) as well as nontrivial instrumentation or operational methods. Any comparison to other methods is beyond the scope of regular articles. Review articles may compare methods or relative merits of data sets, the fitness of individual methods or data sets for specific purposes, or how combinations might be used as more complex methods or reference data collections.

Metrics from SCImago Journal Rank 2025. View on SCImago