High-performance Earth system modeling with NASA/GSFC's Land Information System

被引:184
|
作者
Peters-Lidard C.D. [1 ]
Houser P.R. [2 ]
Tian Y. [1 ,3 ]
Kumar S.V. [1 ,3 ]
Geiger J. [4 ]
Olden S. [4 ]
Lighty L. [4 ]
Doty B. [5 ]
Dirmeyer P. [5 ]
Adams J. [5 ]
Mitchell K. [6 ]
Wood E.F. [7 ]
Sheffield J. [7 ]
机构
[1] Goddard Space Flight Center, Hydrological Sciences Branch, NASA, Greenbelt
[2] George Mason University, Center for Research in Environment and Water, Calverton, MD
[3] Goddard Earth Sciences Technology Center, University of Maryland at Baltimore County, Baltimore, MD
[4] Goddard Space Flight Center, Information Systems Division, NASA, Greenbelt, MD
[5] Center for Ocean-Land-Atmosphere Studies, Calverton, MD
[6] NCEP, Environmental Modeling Center, NOAA/NWS, Camp Springs, MD
[7] Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ
基金
美国国家航空航天局;
关键词
Climate; Earth system modeling; Ensemble; High-performance computing; Information systems; Interoperability; Land surface modeling; Object-oriented frameworks; Weather;
D O I
10.1007/s11334-007-0028-x
中图分类号
学科分类号
摘要
The Land Information System software (LIS; http://lis.gsfc.nasa.gov/, 2006) has been developed to support high-performance land surface modeling and data assimilation. LIS integrates parallel and distributed computing technologies with modern land surface modeling capabilities, and establishes a framework for easy interchange of subcomponents, such as land surface physics, input/output conventions, and data assimilation routines. The software includes multiple land surface models that can be run as a multi-model ensemble on global or regional domains with horizontal resolutions ranging from 2.5° to 1 km. The software may execute serially or in parallel on various high-performance computing platforms. In addition, the software has well-defined, standard-conforming interfaces and data structures to interface and interoperate with other Earth system models. Developed with the support of an Earth science technology office (ESTO) computational technologies project round 3 cooperative agreement, LIS has helped advance NASA's Earth-Sun division's software engineering principles and practices, while promoting portability, interoperability, and scalability for Earth system modeling. LIS was selected as a co-winner of NASA's 2005 software of the year award. © Springer-Verlag London Limited 2007.
引用
收藏
页码:157 / 165
页数:8
相关论文
共 50 条
  • [1] Network performance measurements for NASA's Earth Observation System
    Loiacono, J
    Germain, A
    Smith, J
    [J]. COMPUTER NETWORKS, 2004, 46 (03) : 299 - 320
  • [2] NASA EARTH OBSERVATION SYSTEM DATA INFORMATION-SYSTEM
    SCHAEFER, K
    [J]. BULLETIN OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, 1995, 21 (04): : 13 - 15
  • [3] Information system technology challenges for NASA's Earth Science Enterprise
    Prescott, GE
    Smith, SA
    Moe, KL
    [J]. IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 436 - 438
  • [4] NASA's Earth Information System: Sea-Level Change
    Felikson, Denis
    Fenty, Ian
    Hamlington, Ben
    Shiklomanov, Alexey
    Blackwood, Carmen
    Carroll, Mark
    Croteau, Michael
    David, Cedric
    Drushka, Kyla
    Duffy, Daniel
    Farrar, J. Thomas
    Forget, Gael
    Fournier, Severine
    Frederikse, Thomas
    Fukumori, Ichiro
    Guillaume, Alexandre
    Heimbach, Patrick
    Huang, Thomas
    Larour, Eric
    Lee, Kyo
    Li, Jian
    Medley, Brooke
    Nowicki, Sophie
    Quinn, Justin
    Ramirez-Linan, Ramon
    Ray, Richard
    Rilee, Mike
    [J]. 2022 OCEANS HAMPTON ROADS, 2022,
  • [5] The information management system of NASA's EOS data and information system
    Pfister, R
    [J]. 17TH INTERNATIONAL CONFERENCE ON INTERACTIVE INFORMATION AND PROCESSING SYSTEMS (IIPS) FOR METEOROLOGY, OCEANOGRAPHY, AND HYDROLOGY, 2001, : 161 - 163
  • [6] NASA's earth observing data and information system - Near-term challenges
    Behnke, Jeanne
    Mitchell, Andrew
    Ramapriyan, Hampapuram
    [J]. Data Science Journal, 2019, 18 (01)
  • [7] NASA'S EARTH SYSTEM OBSERVATORY- ATMOSPHERE OBSERVING SYSTEM
    Braun, Scott A.
    Yorks, John
    Thorsen, Tyler
    Cecil, Dan
    Kirschbaum, Dalia
    [J]. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 7391 - 7393
  • [8] Land information system: An interoperable framework for high resolution land surface modeling
    Kumar, S. V.
    Peters-Lidard, C. D.
    Tian, Y.
    Houser, P. R.
    Geiger, J.
    Olden, S.
    Lighty, L.
    Eastman, J. L.
    Doty, B.
    Dirmeyer, P.
    Adams, J.
    Mitchell, K.
    Wood, E. F.
    Sheffield, J.
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2006, 21 (10) : 1402 - 1415
  • [9] DRAGOON: An Information Accountability System for High-Performance Databases
    Pavlou, Kyriacos E.
    Snodgrass, Richard T.
    [J]. 2012 IEEE 28TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2012, : 1329 - 1332
  • [10] Image processor electronics (IPE) - The high-performance computing system for NASA SWIFT mission
    Nguyen, QH
    [J]. CIC'03: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN COMPUTING, 2003, : 113 - 118