skip to main content

DOE PAGESDOE PAGES

Title: Virtual Observation System for Earth System Model: An Application to ACME Land Model Simulations

Investigating and evaluating physical-chemical-biological processes within an Earth system model (EMS) can be very challenging due to the complexity of both model design and software implementation. A virtual observation system (VOS) is presented to enable interactive observation of these processes during system simulation. Based on advance computing technologies, such as compiler-based software analysis, automatic code instrumentation, and high-performance data transport, the VOS provides run-time observation capability, in-situ data analytics for Earth system model simulation, model behavior adjustment opportunities through simulation steering. A VOS for a terrestrial land model simulation within the Accelerated Climate Modeling for Energy model is also presented to demonstrate the implementation details and system innovations.
Authors:
 [1] ;  [1] ;  [2] ;  [3] ;  [3] ;  [4]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Climate Change Science Institute
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Center for Computational Science
  3. Univ. of Tennessee, Knoxville, TN (United States). Department of Electric Engineering
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computational Science Division
Publication Date:
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
International Journal of Advanced Computer Science and Applications
Additional Journal Information:
Journal Volume: 8; Journal Issue: 2; Journal ID: ISSN 2158-107X
Publisher:
The Science and Information Organization
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 58 GEOSCIENCES; Earth System Modeling; Accelerated Climate Modeling for Energy; In-Situ Data Analytics; Virtual Observation System; Functional Unit Testing
OSTI Identifier:
1394462