Details zur Publikation

Referenztyp Zeitschriften
DOI / URL Link
Titel (primär) Are we unnecessarily constraining the agility of complex process-based models?
Autor Mendoza, P.A.; Clark, M.P.; Barlage, M.; Rajagopalan, B.; Samaniego, L.; Abramowitz, G.; Gupta, H.;
Journal / Serie Water Resources Research
Erscheinungsjahr 2015
Department CHS;
Band/Volume 51
Heft 1
Sprache englisch;
POF III (gesamt) T34;
Keywords Keywords: hydrology; process-based models; model agility; sensitivity analysis
UFZ Querschnittsthemen 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.
ID 15531
dauerhafte UFZ-Verlinkung 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