Large-scale Deterministic Inversion and Bayesian Calibration in Land-Ice Modeling.
Conference
·
OSTI ID:1460158
- LANL
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1460158
- Report Number(s):
- SAND2017-6948C; 654953
- Resource Relation:
- Conference: Proposed for presentation at the 14th U.S. National Congress on Computational Mechanics (USNCCM14) held July 17-20, 2017 in Montreal, Quebec, Canada.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice Models.
From Deterministic Inversion to Uncertainty Quantification: Planning a Long Journey in Ice Sheet Modeling.
Entropy-Bayesian Inversion of Hydrological Parameters in the Community Land Model Using Heat Flux and Runoff Data.
Conference
·
Tue Mar 01 00:00:00 EST 2016
·
OSTI ID:1460158
+3 more
From Deterministic Inversion to Uncertainty Quantification: Planning a Long Journey in Ice Sheet Modeling.
Conference
·
Wed Apr 01 00:00:00 EDT 2015
·
OSTI ID:1460158
+6 more
Entropy-Bayesian Inversion of Hydrological Parameters in the Community Land Model Using Heat Flux and Runoff Data.
Conference
·
Sat Mar 01 00:00:00 EST 2014
·
OSTI ID:1460158
+1 more