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Accelerating advances in continental domain hydrologic modeling

Authors :
Archfield, Stacey A.
Clark, Martyn
Arheimer, Berit
Hay, Lauren E.
McMillan, Hilary
Kiang, Julie E.
Seibert, J.
Hakala, Kirsti
Bock, Andrew
Wagener, Thorsten
Farmer, William H.
Andreassian, Vazken
Attinger, Sabine
Viglione, Alberto
Knight, Rodney
Markstrom, Steven
Over, Thomas
Archfield, Stacey A.
Clark, Martyn
Arheimer, Berit
Hay, Lauren E.
McMillan, Hilary
Kiang, Julie E.
Seibert, J.
Hakala, Kirsti
Bock, Andrew
Wagener, Thorsten
Farmer, William H.
Andreassian, Vazken
Attinger, Sabine
Viglione, Alberto
Knight, Rodney
Markstrom, Steven
Over, Thomas
Publication Year :
2015

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.<br />CCC:000368421500038

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1235261433
Document Type :
Electronic Resource