Below are the EGU's open access peer-reviewed journals relevant to the Nonlinear Processes in Geosciences Division. For a complete list of EGU journals, click here.
Geoscientific Model Development (GMD)
Geoscientific Model Development (GMD) is an 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.
Nonlinear Processes in Geophysics (NPG)
Nonlinear Processes in Geophysics (NPG) is an international, interdisciplinary journal for the publication of original research furthering knowledge on nonlinear processes in all branches of Earth, planetary, and solar system sciences. The editors encourage submissions that apply nonlinear analysis methods to both models and data.
Weather and Climate Dynamics (WCD)
Weather and Climate Dynamics (WCD) is a not-for-profit international scientific journal dedicated to the publication and public discussion of high-quality research on dynamical processes in the atmosphere. It represents a timely effort to establish a seamless perspective on atmospheric flows, on scales from weather to climate (minutes to decades). The scope of the journal includes the following: the dynamics of extreme weather events (case studies and climatological analyses); weather system dynamics in tropical, midlatitude and polar regions; interactions of atmospheric flows with cloud physics and/or radiation; links between the atmospheric water cycle and weather systems; tropical-extratropical and midlatitude-polar interactions; atmospheric teleconnections and stratosphere-troposphere coupling; boundary-layer dynamics and coupling to land, ocean and ice; atmospheric variability and predictability on time scales from minutes to decades; storm track and Hadley cell dynamics; role of atmospheric dynamics in paleoclimate and climate change projections; and other aspects of weather and climate dynamics. Theoretical studies, idealized numerical studies, full-physics numerical studies, and diagnostic studies using (re)analysis and/or observational data are welcome.