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Geoscientific Model Development is a peer-reviewed journal published by Copernicus Publications, covering Climate variability and models, Meteorological Phenomena and Simulations, Atmospheric chemistry and aerosols. Over its lifetime it has published 4,136 papers, which have received 244,796 citations.
| Publisher | Copernicus Publications |
|---|---|
| Reference style | Author–year (Copernicus) Author–year — (Smith, 2023) in the text Smith, A., Jones, B., and Lee, C.: A representative article title, Geoscientific Model Development, 12, 45–58, 2023.
Formats any DOI in Geoscientific Model Development style. No sign-up. |
| Publishes research in | Climate variability and models Meteorological Phenomena and Simulations Atmospheric chemistry and aerosols Atmospheric and Environmental Gas Dynamics Atmospheric Ozone and Climate |
| ISSN | 1991-959X |
| Citation impact (2-yr) | 4.24 |
| h-index | 202 |
| i10-index | 2,618 |
| Article processing charge | $1,725 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | geoscientific-model-development.net |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract. By coordinating the design and distribution of global climate model simulations of the past, current, and future climate, the Coupled Model Intercomparison Project (CMIP) has become one of the foundational elements of climate science. However, the need to address an ever-expanding range of scientific questions arising from more and more research communities has made…
Abstract. Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a misleading indicator of average error, and thus the MAE would be a…
Abstract. Projections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the primary activity within Phase 6 of the Coupled Model Intercomparison Project (CMIP6) that will provide multi-model climate projections based on alternative…
Abstract. The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1) is a modeling framework for estimating fluxes of biogenic compounds between terrestrial ecosystems and the atmosphere using simple mechanistic algorithms to account for the major known processes controlling biogenic emissions. It is available as an offline code and has also been…
Abstract. The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical…
