A new process sensitivity index to identify important system processes under process model and parametric uncertainty

Author:

Dai Heng1ORCID,Ye Ming2ORCID,Walker Anthony P.3ORCID,Chen Xingyuan1ORCID

Affiliation:

1. Pacific Northwest National Laboratory; Richland Washington USA

2. Department of Scientific Computing; Florida State University; Tallahassee Florida USA

3. Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory; Oak Ridge Tennessee USA

Funder

Subsurface Biogeochemical Research Program of the Office of Biological and Environmental Research (BER) of U.S. Department of Energy

DOE Early Career award

NSF-EAR

BER's Terrestrial Ecosystem Science Program

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Reference56 articles.

1. Aziz , C. E. C. J. Newell J. R. Gonzales P. E. Haas T. P. Clement Y. Sun 2000

2. Belcher , W. R. D. S. Sweetkind 2010 U.S. Geol. Surv. Prof. Pap 1711 398

3. Chapter 12 Uncertainty and the detection of structural change in models of environmental systems

4. Facets of uncertainty: Epistemic error, non-stationarity, likelihood, hypothesis testing, and communication;Beven;Hydrol. Sci. J.,2016

5. Scaling in hydrology;Bloschl;Hydrol. Processes,2001

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