S4: AN O2R/R2O INFRASTRUCTURE FOR OPTIMIZING SATELLITE DATA UTILIZATION IN NOAA NUMERICAL MODELING SYSTEMS A Step Toward Bridging the Gap between Research and Operations

被引：17

作者：

Boukabara, Sid A. ^{[1
]}

Zhu, Tong ^{[2
]}

Tolman, Hendrik L. ^{[3
]}

Lord, Steve ^{[4
]}

Goodman, Steven ^{[5
]}

Atlas, Robert ^{[6
]}

Goldberg, Mitch ^{[7
]}

Auligne, Thomas ^{[8
]}

Pierce, Bradley ^{[9
]}

Cucurull, Lidia ^{[10
]}

Zupanski, Milija ^{[2
]}

Zhang, Man ^{[2
]}

Moradi, Isaac ^{[8
]}

Otkin, Jason ^{[11
]}

Santek, David ^{[11
]}

Hoover, Brett ^{[11
]}

Pu, Zhaoxia ^{[12
]}

Zhan, Xiwu ^{[9
]}

Hain, Christopher ^{[8
]}

Kalnay, Eugenia ^{[13
]}

Hotta, Daisuke ^{[14
]}

Nolin, Scott ^{[15
]}

Bayler, Eric ^{[9
]}

Mehra, Avichal ^{[3
]}

Casey, Sean P. F. ^{[8
]}

Lindsey, Daniel ^{[9
]}

Grasso, Louie ^{[2
]}

Kumar, V. Krishna ^{[16
]}

Powell, Alfred ^{[9
]}

Xu, Jianjun ^{[17
]}

Greenwald, Thomas ^{[11
]}

Zajic, Joe ^{[18
]}

Li, Jun ^{[11
]}

Li, Jinliong ^{[11
]}

Li, Bin ^{[19
]}

Liu, Jicheng ^{[8
]}

Fang, Li ^{[8
]}

Wang, Pei ^{[11
]}

Chen, Tse-Chun ^{[13
]}

机构：

[1] NOAA, Natl Environm Satellite Data & Informat Serv, College Pk, MD USA

[2] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA

[3] NOAA, Natl Ctr Environm Predict, Environm Modeling Ctr, College Pk, MD USA

[4] NOAA, Natl Weather Serv, Off Sci & Technol, Silver Spring, MD 20910 USA

[5] NOAA, Natl Environm Satellite Data & Informat Serv, Geostationary Operat Environm Satellite Series R, Greenbelt, MD USA

[6] NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA

[7] NOAA, Natl Environm Satellite Data & Informat Serv, Joint Polar Satellite Syst, Lahnam, MD USA

[8] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA

[9] NOAA, Natl Environm Satellite Data & Informat Serv, Ctr Satellite Applicat & Res, College Pk, MD USA

[10] NOAA, Earth Syst Res Lab, Boulder, CO USA

[11] Univ Wisconsin, Cooperat Inst Meteorol Satellite Studies, Madison, WI USA

[12] Univ Utah, Salt Lake City, UT USA

[13] Univ Maryland, College Pk, MD 20742 USA

[14] Japan Meteorol Agcy, Chiyoda Ku, Tokyo, Japan

[15] Univ Wisconsin, Ctr Space Sci & Engn, 1225 W Dayton St, Madison, WI 53706 USA

[16] Riverside Technol, Ft Collins, CO USA

[17] George Mason Univ, Fairfax, VA 22030 USA

[18] Integr Applicat, Lincoln, MA USA

[19] IM Syst Grp, Rockville, MD USA

来源：

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY | 2016年 / 97卷 / 12期

关键词：

LIKELIHOOD ENSEMBLE FILTER; LAND INFORMATION-SYSTEM; CLOUDY SKIES; ASSIMILATION; IMPACT; SIMULATION; FRAMEWORK;

D O I：

10.1175/BAMS-D-14-00188.1

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

In 2011, the National Oceanic and Atmospheric Administration (NOAA) began a cooperative initiative with the academic community to help address a vexing issue that has long been known as a disconnection between the operational and research realms for weather forecasting and data assimilation. The issue is the gap, more exotically referred to as the "valley of death," between efforts within the broader research community and NOAA's activities, which are heavily driven by operational constraints. With the stated goals of leveraging research community efforts to benefit NOAA's mission and offering a path to operations for the latest research activities that support the NOAA mission, satellite data assimilation in particular, this initiative aims to enhance the linkage between NOAA's operational systems and the research efforts. A critical component is the establishment of an efficient operations-to-research (O2R) environment on the Supercomputer for Satellite Simulations and Data Assimilation Studies (S4). This O2R environment is critical for successful research to-operations (R2O) transitions because it allows rigorous tracking, implementation, and merging of any changes necessary (to operational software codes, scripts, libraries, etc.) to achieve the scientific enhancement. So far, the S4 O2R environment, with close to 4,700 computing cores (60 TFLOPs) and 1,700-TB disk storage capacity, has been a great success and consequently was recently expanded to significantly increase its computing capacity. The objective of this article is to highlight some of the major achievements and benefits of this O2R approach and some lessons learned, with the ultimate goal of inspiring other O2R/R2O initiatives in other areas and for other applications.

引用

页码：2359 / +

页数：22

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