Analysis of self-describing gridded geoscience data with netCDF Operators (NCO)

1 The netCDF Operator (NCO) software facilitates manipulation and analysis of gridded2 geoscience data stored in the self-describing netCDF format. NCO is optimized to efficiently3 analyze large multi-dimensional datasets spanning many files. Researchers and data centers4 often use NCO to analyze and serve observed and modeled geoscience data including satel-5 lite observations and weather, air quality, and climate forecasts. NCO's functionality includes6 shared memory threading, a message-passing interface, network transparency, and an inter-7 preted language parser. NCO treats data files as a high level data type whose contents may8 be simultaneously manipulated by a single command. Institutions and data portals often use9 NCO for middleware, to hyperslab and aggregate dataset requests, while scientific researchers10 use NCO to perform three general functions: arithmetic operations, data permutation and com-11 pression, and metadata editing. We describe NCO's design philoso...

• Type: Journal
• Year: 2008
• Where: ENVSOFT
• Authors: Charles S. Zender
• Keywords: ENVSOFT 2008, Geoscience Data, Gridded2 Geoscience Data, Self-describing NetCDF Format