Parameter estimation and predictive uncertainty in stochastic inverse modeling of groundwater flow: Comparing null-space Monte Carlo and multiple starting point methods: NULL-SPACE MONTE CARLO AND MULTIPLE STARTING POINT
- Authors:
-
- Geoscience Research and Applications Center, Sandia National Laboratories, Albuquerque New Mexico USA
- Publication Date:
- Research Org.:
- Energy Frontier Research Centers (EFRC) (United States). Center for Frontiers of Subsurface Energy Security (CFSES)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1381230
- DOE Contract Number:
- SC0001114
- Resource Type:
- Journal Article
- Journal Name:
- Water Resources Research
- Additional Journal Information:
- Journal Volume: 49; Journal Issue: 1; Related Information: CFSES partners with University of Texas at Austin (lead); Sandia National Laboratory; Journal ID: ISSN 0043-1397
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- nuclear (including radiation effects), carbon sequestration
Citation Formats
Yoon, Hongkyu, Hart, David B., and McKenna, Sean A. Parameter estimation and predictive uncertainty in stochastic inverse modeling of groundwater flow: Comparing null-space Monte Carlo and multiple starting point methods: NULL-SPACE MONTE CARLO AND MULTIPLE STARTING POINT. United States: N. p., 2013.
Web. doi:10.1002/wrcr.20064.
Yoon, Hongkyu, Hart, David B., & McKenna, Sean A. Parameter estimation and predictive uncertainty in stochastic inverse modeling of groundwater flow: Comparing null-space Monte Carlo and multiple starting point methods: NULL-SPACE MONTE CARLO AND MULTIPLE STARTING POINT. United States. https://doi.org/10.1002/wrcr.20064
Yoon, Hongkyu, Hart, David B., and McKenna, Sean A. 2013.
"Parameter estimation and predictive uncertainty in stochastic inverse modeling of groundwater flow: Comparing null-space Monte Carlo and multiple starting point methods: NULL-SPACE MONTE CARLO AND MULTIPLE STARTING POINT". United States. https://doi.org/10.1002/wrcr.20064.
@article{osti_1381230,
title = {Parameter estimation and predictive uncertainty in stochastic inverse modeling of groundwater flow: Comparing null-space Monte Carlo and multiple starting point methods: NULL-SPACE MONTE CARLO AND MULTIPLE STARTING POINT},
author = {Yoon, Hongkyu and Hart, David B. and McKenna, Sean A.},
abstractNote = {},
doi = {10.1002/wrcr.20064},
url = {https://www.osti.gov/biblio/1381230},
journal = {Water Resources Research},
issn = {0043-1397},
number = 1,
volume = 49,
place = {United States},
year = {Tue Jan 01 00:00:00 EST 2013},
month = {Tue Jan 01 00:00:00 EST 2013}
}
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