Submissions now being accepted! Special Issue of Hydrological Processes: Coupled atmosphere-hydrological processes: novel system developments and cross-compartment evaluations
Molly
Dear colleagues,
We are writing to inform you about a special issue of the journal Hydrological Processes, titled: Coupled atmosphere-hydrological processes: novel system developments and cross-compartment evaluations.
Water- and energy fluxes between the land surface and the atmospheric boundary layer entail complex interactions. Comprehensive process-based modelling of all intertwined fluxes, related nonlinear feedbacks and scale-dependent properties is a cutting-edge approach to advancing the understanding of the interaction of water with atmospheric systems, which requires compartment-crossing strategies. Coupled atmosphere-hydrological modelling addresses this challenge by describing the full water- and energy cycle from groundwater across the land surface to the top of the atmosphere. This special issue aims at gathering the latest system developments, reporting examples and tools for cross-compartment and multi-variable validation, and discussing the challenges dealing with the complex interactions between surface water, groundwater, land surface processes and regional climate. It particularly aims at engaging both the hydrology and atmospheric science communities.
Contributions to this Special Issue should focus on the challenge of improving the representation of atmosphere-hydrological coupled processes. Topics to be addressed include, but are not limited to: novel coupled modeling systems; development of coupled hydrometeorological prediction systems for, e.g., floods/flash-floods, droughts and water resources across various space and time scales such as: coupled regional climate modeling; comparative studies between one-way and fully-coupled modeling systems providing quantitative information about the soil-surface-atmosphere continuum feedbacks; combined dynamical-statistical approaches and studies addressing data assimilation in coupled models; further coupling with ocean (i.e. ocean-atmospheric-hydrologic modelling); field experiments and testbeds equipped with sensors and measurement systems supporting the validation of these complex modeling systems.
This special issue will be guest-edited by Alfonso Senatore (University of Calabria), David J. Gochis (NCAR), Harald Kunstmann (KIT), Molly McAllister (NCAR) and Giuseppe Mendicino (University of Calabria). We ask that you (1) at your earliest convenience please let us know if you or one of your associates are willing and able to contribute a paper, (2) if your answer is yes (which we hope), please send us a tentative title and a very brief abstract, and (3) please suggest scientists, particularly in developing countries, who have done thoughtful work in this area, that we may have missed. Contributors are welcome to direct any questions or solicit feedback about ideas for papers from the guest editors. All contributions will go through peer review and only be published upon acceptance for the Special Issue.
Our tentative time line is to receive an indication of interest by 15 May 2020, the title/abstract by 25 June 2020, the manuscript by 10 October 2020, and complete review/revision by 28 February 2021. Accepted manuscripts will be published online individually as soon as they are ready for publication, and the special issue will be assembled by 1 April 2021. Authors who do not adhere to the schedule may be dropped from the special issue to avoid delay, although the option will be open to publishing in a later issue of the journal, following normal review.
Please send us an email (alfonso....@unical.it) to express interest by 15 May 2020. We look forward to hearing back from you, hopefully positively.
Kind Regards,
Alfonso Senatore, University of Calabria
David J. Gochis, National Center for Atmospheric Research (NCAR)
Harald Kunstmann, Karlsruhe Institute of Technology (KIT)
Molly McAllister, National Center for Atmospheric Research (NCAR)
Giuseppe Mendicino, University of Calabria
