Geoscientific Model Development

SJR Rank #1,274H-index: 159SJR: 2.134Best quartile: Q1Open AccessAPC: US$1,725Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

Copernicus Publications

Country

Germany

Type

journal

SJR by Edition

2022202500.61.21.82.4

Subject Categories

  • Earth and Planetary Sciences (miscellaneous)Q1
  • Modeling and SimulationQ1

Areas: Earth and Planetary Sciences · Mathematics

Most published research topics

Climate variability and modelsMeteorological Phenomena and SimulationsAtmospheric chemistry and aerosolsAtmospheric and Environmental Gas DynamicsAtmospheric Ozone and ClimateAtmospheric aerosols and cloudsCryospheric studies and observationsOceanographic and Atmospheric ProcessesPlant Water Relations and Carbon DynamicsHydrology and Watershed Management Studies

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs03006009001200

Documents per Year

202220250150300450600

Detailed Information

ISSN

1991-959X, 1991-9603

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

4.88

References per Document

77.90

Coverage

2008-2026

Scope

Geoscientific Model Development (GMD) is a not-for-profit international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: -geoscientific model descriptions, from statistical models to box models to GCMs; -development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; -new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; -papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; -model experiment descriptions, including experimental details and project protocols; -full evaluations of previously published models.

Metrics from SCImago Journal Rank 2025. View on SCImago