Efficient Storage of Large MODFLOW Models

被引:1
|
作者
Jones, Norman L. [1 ]
Lemon, Alan M. [2 ]
Kennard, Michael J. [2 ]
机构
[1] Brigham Young Univ, Environm Modeling Res Lab, Provo, UT 84602 USA
[2] Aquaveo LLC, Provo, UT USA
关键词
D O I
10.1111/gwat.12060
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We present a methodology for storing the bulkier portions of a set of MODFLOW input and output files in a compressed binary format using the HDF5 library. This approach results in compression ratios of up to 99% with no significant time penalty. The highly compressed format is particularly beneficial when dealing with large regional models or Monte Carlo simulations. The strategy is focused on the list-and array-based portions of the input files including the cell property and recharge arrays, and is compatible with models containing parameters, including pilot points. The utilities are based on a modified version of the MODFLOW code and are, therefore, compatible with any standard MODFLOW simulation. We present used cases and instructions on how to use the utilities.
引用
收藏
页码:461 / 465
页数:5
相关论文
共 50 条
  • [1] Efficient Data Storage in Large Nanoarrays
    Lee-Ad J. Gottlieb
    John E. Savage
    Arkady Yerukhimovich
    Theory of Computing Systems, 2005, 38 : 503 - 536
  • [2] Efficient data storage in large nanoarrays
    Gottlieb, LAJ
    Savage, JE
    Yerukhimovich, A
    THEORY OF COMPUTING SYSTEMS, 2005, 38 (04) : 503 - 536
  • [3] AN EFFICIENT STORAGE FORMAT FOR LARGE SPARSE MATRICES
    Farzaneh, Aiyoub
    Kheiri, Hossein
    Shahmersi, Mehdi Abbaspour
    COMMUNICATIONS FACULTY OF SCIENCES UNIVERSITY OF ANKARA-SERIES A1 MATHEMATICS AND STATISTICS, 2009, 58 (02): : 1 - 10
  • [4] Efficient Matching in Large DAE Models
    Marzorati, Denise
    Fernandez, Joaquin
    Kofman, Ernesto
    ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE, 2024, 50 (03):
  • [5] Efficient optimization of large probabilistic models
    Struck, Simon
    Guedemann, Matthias
    Ortmeier, Frank
    JOURNAL OF SYSTEMS AND SOFTWARE, 2013, 86 (10) : 2488 - 2501
  • [6] Storage efficient blockchain models for constrained applications
    Rajendra, Yuvaraj
    Sahu, Sachin
    Subramanian, Venkatesan
    Shukla, Sandeep Kumar
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2023, 26 (04): : 2163 - 2181
  • [7] Storage efficient blockchain models for constrained applications
    Yuvaraj Rajendra
    Sachin Sahu
    Venkatesan Subramanian
    Sandeep Kumar Shukla
    Cluster Computing, 2023, 26 : 2163 - 2181
  • [8] Using GIS for hierarchial refinement of MODFLOW models
    Kamps, PTWJ
    Oltshoorn, TN
    APPLICATION OF GEOGRAPHIC INFORMATION SYSTEMS IN HYDROLOGY AND WATER RESOURCES MANAGEMENT, 1996, (235): : 535 - 542
  • [9] LMStor: Storage Acceleration Design for Large Models
    Shang, Biyun
    Zhang, Feng
    Xu, Mo
    Xu, Junning
    Dong, Zhenjiang
    WEB AND BIG DATA, APWEB-WAIM 2024, PT V, 2024, 14965 : 415 - 426
  • [10] Efficient metadata management in large distributed storage systems
    Brandt, SA
    Miller, EL
    Long, DDE
    Xue, L
    20TH IEEE/11TH NASA GODDARD CONFERENCE ON MASS STORAGE AND TECHNOLOGIES (MSST 2003), PROCEEDINGS, 2003, : 290 - 298