Quantifying the Impacts of Parametric Uncertainty on Biogeochemistry in the ACME Land Model.
Conference
·
OSTI ID:1366666
- ORNL
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1366666
- Report Number(s):
- SAND2016-2996C; 637584
- Resource Relation:
- Conference: Proposed for presentation at the SIAM Conference on Uncertainty Quantification.
- Country of Publication:
- United States
- Language:
- English
Similar Records
The Impact of Parametric Uncertainties on Biogeochemistry in the E3SM Land Model: ELM BIOGEOCHEMICAL PARAMETER SENSITIVITY
Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations using Surrogate Models.
Sparse Polynomial Chaos Surrogate for ACME Land Model via Iterative Bayesian Compressive Sensing.
Journal Article
·
Tue Feb 06 00:00:00 EST 2018
· Journal of Advances in Modeling Earth Systems
·
OSTI ID:1366666
Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations using Surrogate Models.
Conference
·
Mon Dec 01 00:00:00 EST 2014
·
OSTI ID:1366666
+3 more
Sparse Polynomial Chaos Surrogate for ACME Land Model via Iterative Bayesian Compressive Sensing.
Conference
·
Tue Dec 01 00:00:00 EST 2015
·
OSTI ID:1366666
+3 more