Accelerating advances in continental domain hydrologic modeling. Issue 12 (31st December 2015)

• Record Type: Journal Article
• Authors: Archfield, Stacey A.; Clark, Martyn; Arheimer, Berit; Hay, Lauren E.; McMillan, Hilary; Kiang, Julie E.; Seibert, Jan; Hakala, Kirsti; Bock, Andrew; Wagener, Thorsten; Farmer, William H.; Andréassian, Vazken; Attinger, Sabine; Viglione, Alberto; Knight, Rodney; Markstrom, Steven; Over, Thomas
• Is Part Of: Water resources research. Volume 51:Issue 12(2015:Dec.)
• Page Start: 10078
• Page End: 10091
• Publication Date: 2015-12-31
• Subjects: surface water -- hydrology -- model -- water resources; Hydrology -- Periodicals; 333.91
• DOI: 10.1002/2015WR017498
• Languages: English
• ISSNs: 0043-1397

Abstract

Abstract: In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from a catchment hydrology community perspective, provides a review of progress in each community toward this achievement, identifies common challenges the communities face, and details immediate and specific areas in which these communities can mutually benefit one another from the convergence of their research perspectives. Those include: (1) creating new incentives and infrastructure to report and share model inputs, outputs, and parameters in data services and open access, machine‐independent formats for model replication or reanalysis; (2) ensuring that hydrologic models have: sufficient complexity to represent the dominant physical processes and adequate representation of anthropogenic impacts on the terrestrial water cycle, a process‐based approach to model parameter estimation, and appropriate parameterizations to represent large‐scale fluxes and scaling behavior; (3) maintaining a balance between model complexity and data availability as well as uncertainties; and (4) quantifying and communicating significant advancements toward these modeling goals. Key Points: Continental domain hydrologic modeling is a unifying theme among modeling communities Modeling communities face similar challenges in this achieving this goal We present specific ways that communities can work together to advance modeling efforts