| タイトル | Climate Analytics as a Service |
| 本文（外部サイト） | http://hdl.handle.net/2060/20150000368 |
| 著者（英） | Duffy, Daniel Q.; Schnase, John L.; Lee, Tsengdar J.; Webster, W. Phillip; McInerney, Mark A. |
| 発行日 | 2014-11-12 |
| 言語 | eng |
| 内容記述 | Climate science is a big data domain that is experiencing unprecedented growth. In our efforts to address the big data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). CAaaS combines high-performance computing and data-proximal analytics with scalable data management, cloud computing virtualization, the notion of adaptive analytics, and a domain-harmonized API to improve the accessibility and usability of large collections of climate data. MERRA Analytic Services (MERRA/AS) provides an example of CAaaS. MERRA/AS enables MapReduce analytics over NASA's Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection. The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and spatially consistent synthesis of key climate variables. The effectiveness of MERRA/AS has been demonstrated in several applications. In our experience, CAaaS is providing the agility required to meet our customers' increasing and changing data management and data analysis needs. |
| NASA分類 | Documentation and Information Science; Meteorology and Climatology |
| レポートNO | GSFC-E-DAA-TN18630 |
| 権利 | No Copyright |
|
