NetCDF (network Common Data Form) is a set of interfaces for array-oriented data access and a freely-distributed collection of data access libraries for C, Fortran, C++, Java, and other languages. The netCDF libraries support a machine-independent format for representing scientific data. Together, the interfaces, libraries, and format support the creation, access, and sharing of scientific data. NetCDF data is: Self-Describing. A netCDF file includes information about the data it contains. Portable. A netCDF file can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. Scalable. A small subset of a large dataset may be accessed efficiently. Appendable. Data may be appended to a properly structured netCDF file without copying the dataset or redefining its structure. Sharable. One writer and multiple readers may simultaneously access the same netCDF file. Archivable. Access to all earlier forms of netCDF data will be supported by current and future versions of the software. The netCDF software was developed by Glenn Davis, Russ Rew, Ed Hartnett, John Caron, Steve Emmerson, and Harvey Davies at the Unidata Program Center in Boulder, Colorado, with contributions from many other netCDF users.

References in zbMATH (referenced in 32 articles )

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  1. Ghosh, Supriyo; Newman, Christopher K.; Francois, Marianne M.: \textttTusas: a fully implicit parallel approach for coupled phase-field equations (2022)
  2. Johannes N. Hansen: nd - A Framework for the Analysis of n-dimensional Earth Observation Data (2022) not zbMATH
  3. Pasquale C. Africa, Roberto Piersanti, Marco Fedele, Luca Dede’, Alfio Quarteroni: lifex - heart module: a high-performance simulator for the cardiac function. Package 1: Fiber generation (2022) arXiv
  4. Samaké, Abdoulaye; Mahamane, Amadou; Diallo, Ouaténi: Parallel implementation and scalability results of a local-scale air quality model: application to Bamako urban city (2022)
  5. Wu-Jung Lee, Emilio Mayorga, Landung Setiawan, Imran Majeed, Kavin Nguyen, Valentina Staneva: Echopype: A Python library for interoperable and scalable processing of water column sonar data for biological information (2021) arXiv
  6. David Hassell; Sadie L. Bartholomew: cfdm: A Python reference implementation of the CF data model (2020) not zbMATH
  7. Tobias Stål, Anya M. Reading: A Grid for Multidimensional and Multivariate Spatial Representation and Data Processing (2020) not zbMATH
  8. Arndt, Daniel; Bangerth, Wolfgang; Clevenger, Thomas C.; Davydov, Denis; Fehling, Marc; Garcia-Sanchez, Daniel; Harper, Graham; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Kynch, Ross Maguire; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, Version 9.1 (2019)
  9. Hagen Radtke; Florian Börgel; Sandra-Esther Brunnabend; Anja Eggert; Madline Kniebusch; H. E. Markus Meier; Daniel Neumann; Thomas Neumann; Manja Placke: Validator - a Web-Based Interactive Tool for Validation of Ocean Models at Oceanographic Stations (2019) not zbMATH
  10. Kumar, R.; Colin, C.; Hartikainen, A.; Martin, O. A.: ArviZ a unified library for exploratory analysis of Bayesian models in Python. (2019) not zbMATH
  11. Y. Q. Wang: An Open Source Software Suite for Multi-Dimensional Meteorological Data Computation and Visualisation (2019) not zbMATH
  12. Alzetta, Giovanni; Arndt, Daniel; Bangerth, Wolfgang; Boddu, Vishal; Brands, Benjamin; Davydov, Denis; Gassmöller, Rene; Heister, Timo; Heltai, Luca; Kormann, Katharina; Kronbichler, Martin; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, version 9.0 (2018)
  13. Lee, Habin; Aydin, Nursen; Choi, Youngseok; Lekhavat, Saowanit; Irani, Zahir: A decision support system for vessel speed decision in maritime logistics using weather archive big data (2018)
  14. Li, X., Vernon, C.R., Hejazi, M.I., Link, R.P., Huang, Z., Liu, L., Feng, L.: Tethys - A Python Package for Spatial and Temporal Downscaling of Global Water Withdrawals (2018) not zbMATH
  15. Tolstykh, M.; Goyman, G.; Fadeev, R.; Shashkin, V.: Structure and algorithms of SL-AV atmosphere model parallel program complex (2018)
  16. Al-Assam, S.; Clark, S. R.; Jaksch, D.: The tensor network theory library (2017)
  17. Arndt, Daniel; Bangerth, Wolfgang; Davydov, Denis; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Maier, Matthias; Pelteret, Jean-Paul; Turcksin, Bruno; Wells, David: The deal.II library, version 8.5 (2017)
  18. Li, X., Vernon, C.R., Hejazi, M.I., Link, R.P., Feng, L., Liu, Y., Rauchenstein, L.T.: Xanthos - A Global Hydrologic Model (2017) not zbMATH
  19. Pierret, Julien; Shen, Samuel S. P.: 4D visual delivery of big climate data: a fast web database application system (2017)
  20. Bangerth, Wolfgang; Davydov, Denis; Heister, Timo; Heltai, Luca; Kanschat, Guido; Kronbichler, Martin; Maier, Matthias; Turcksin, Bruno; Wells, David: The \textttdeal.II library, version 8.4 (2016)

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