Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1002/2014WR015820
Title (Primary) Are we unnecessarily constraining the agility of complex process-based models?
Author Mendoza, P.A.; Clark, M.P.; Barlage, M.; Rajagopalan, B.; Samaniego, L. ORCID logo ; Abramowitz, G.; Gupta, H.
Source Titel Water Resources Research
Year 2015
Department CHS
Volume 51
Issue 1
Page From 716
Page To 728
Language englisch
Keywords Keywords: hydrology; process-based models; model agility; sensitivity analysis
UFZ wide themes RU5;
Abstract In this commentary we suggest that hydrologists and land-surface modelers may be unnecessarily constraining the behavioral agility of very complex physics-based models. We argue that the relatively poor performance of such models can occur due to restrictions on their ability to refine their portrayal of physical processes, in part because of strong a-priori constraints in: (i) the representation of spatial variability and hydrologic connectivity, (ii) the choice of model parameterizations, and (iii) the choice of model parameter values. We provide a specific example of problems associated with strong a-priori constraints on parameters in a land surface model. Moving forward, we assert that improving hydrological models requires integrating the strengths of the “physics-based” modeling philosophy (which relies on prior knowledge of hydrologic processes) with the strengths of the “conceptual” modeling philosophy (which relies on data driven inference). Such integration will accelerate progress on methods to define and discriminate among competing modeling options, which should be ideally incorporated in agile modeling frameworks and tested through a diagnostic evaluation approach. This article is protected by copyright. All rights reserved.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=15531
Mendoza, P.A., Clark, M.P., Barlage, M., Rajagopalan, B., Samaniego, L., Abramowitz, G., Gupta, H. (2015):
Are we unnecessarily constraining the agility of complex process-based models?
Water Resour. Res. 51 (1), 716 - 728