Name
Abstract | ||
|---|---|---|
Earth system models are valuable tools for furthering our understanding of past, present, and future climate states. Because these models tend to be large and complex as well as in a state of near constant development, quality assurance (and subsequent debugging) are critical pieces in the development cycle. Here, we describe our multi-year effort to better evaluate the quality and "correctness" of the Community Earth System Model (CESM), a widely-used climate model. Our approach depends on an initial coarse-grain ensemble-based consistency test to determine code correctness, which has already proved successful in practice. The additional capability desired is a means of easily tracing a coarse-grain failure to its root cause, and we discuss our strategy and promising efforts to date toward that goal.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3145344.3145491 | SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis
Denver
CO
USA
November, 2017 |
DocType | ISBN | Citations |
Conference | 978-1-4503-5127-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Allison H. Baker | 1 | 222 | 15.49 |
| Daniel Milroy | 2 | 9 | 2.26 |
| d m hammerling | 3 | 9 | 3.88 |
| Haiying Xu | 4 | 27 | 2.45 |