Ncvtk is a program for - exploring planetary data stored in a NetCDF file. - The NetCDF file should loosely follow the CF metadata conventions.
@@ -2004,22 +2004,22 @@ or using ECMWF reanalysis on a reduced grid -
Dr L. Mun Woo of University of Western Australia
The NetCDF tools is a free software package consisting of a few @@ -2031,7 +2031,7 @@ or using ECMWF reanalysis on a reduced grid
@@ -2093,7 +2093,7 @@ or using ECMWF reanalysis on a reduced grid
Lionel Guez has developed and made feely available NetCDF95, a new - alternative Fortran interface to the NetCDF library. Compared to the + alternative Fortran interface to the netCDF library. Compared to the Unidata-provided Fortran 90 netCDF interface, the NetCDF95 interface is meant to be easier to use and more secure.
@@ -2175,10 +2175,10 @@ or using ECMWF reanalysis on a reduced grid Octcdf is a netCDF toolbox for Octave which uses the same operator syntax as the matlab netCDF + href="http://mexcdf.sourceforge.net/netcdf_toolbox.html">MATLAB netCDF toolbox of Charles R. Denham. NetCDF dimensions, attributes and variables are Octave objects and can be accessed, sliced and changed - just as regular variables. Unlike most netCDF toolboxes for matlab, it + just as regular variables. Unlike most netCDF toolboxes for MATLAB, it does not depend on the NCMEX wrapper around the netCDF interface. This octave toolbox is written in C++ calling directly the netCDF library. The octcdf toolbox can also be used to download data from an OpenDAP @@ -2200,7 +2200,7 @@ or using ECMWF reanalysis on a reduced grid provides tools for transforming existing applications into OPeNDAP clients, enabling them to remotely access OPeNDAP served data. OPeNDAP is based on existing data access tools; rather than developing - a self contained system, it makes extensive use of existing data + a self-contained system, it makes extensive use of existing data access APIs. @@ -2472,7 +2472,7 @@ or using ECMWF reanalysis on a reduced grid of data sets provide the user with a quick learning tool.- Currently PolyPaint+ accepts only data which is in the NetCDF file format. + Currently PolyPaint+ accepts only data which is in the netCDF file format. A file conversion utility which converts from raw binary data to netCDf is a part of the application.
@@ -2777,7 +2777,7 @@ or using ECMWF reanalysis on a reduced gridSIS supports creating ISO 19115 metadata from metadata in a netCDF - store from a given file, URL, stream, or NetcdfFile object. SIS + store from a given file, URL, stream, or netcdfFile object. SIS netCDF storage is intended to be a bridge between NetCDF Climate and Forecast (CF) conventions and ISO 19115 metadata.
@@ -2802,7 +2802,7 @@ or using ECMWF reanalysis on a reduced grid processor) is a loadable extension of Tcl which provides a powerful and efficient facility for processing data in the form of n-dimensional arrays. It has been designed to provide an array-processing facility with much of the functionality - of languages such as APL, Fortran-90, IDL, J, matlab, and octave. + of languages such as APL, Fortran-90, IDL, J, MATLAB, and octave.Support is provided for data based on n-dimensional grids, where the dimensions @@ -2899,7 +2899,7 @@ or using ECMWF reanalysis on a reduced grid ESRI Grid and Gridded NetCDF. These data export features promote the interoperability of weather and climate information with various scientific communities and common - software packages such as ArcGIS, Google Earth, MatLAB, + software packages such as ArcGIS, Google Earth, MATLAB, QGIS, R and many more. Advanced data export support for Google Earth enables the 2-D and 3D export of rendered data and isosurfaces. @@ -2933,11 +2933,11 @@ or using ECMWF reanalysis on a reduced grid
In addition, this version contains a capability to geo-reference some data and to read ASCII data in tabular format. Also new is the ability to output - data in numerical form (e.g. NetCDF) and a context sensitive, integrated help + data in numerical form (e.g. netCDF) and a context sensitive, integrated help system.
- As with earlier versions, data in several different formats, including NetCDF, + As with earlier versions, data in several different formats, including netCDF, can be read in easily from your local machine or from the Web. In addition, most data can be subset or subsampled on load, making it possible to visualize very large multidimensional and/or multispectral datasets. The package includes @@ -3643,7 +3643,7 @@ or using ECMWF reanalysis on a reduced grid
- The Space Time Pattern Mining toolbox contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset for visualizing the data stored in the space-time netCDF cube in both 2D and 3D. + The Space Time Pattern Mining toolbox + contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset for visualizing the data stored in the space-time netCDF cube in both 2D and 3D. - Create Space Time Cube takes point datasets and builds a multidimensional cube data structure (netCDF) for analysis. Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot trends over time. You might use the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals. The Local Outlier Analysis tool takes the cube as input to identify statistically significant clusters of high or low values as well as outliers that have values that are statistically different than their neighbors in space and time. The Utilities toolset enables you to visualize the data and analysis results stored in the space-time cube in two and three dimensions. These visualization tools can be used to understand the structure of the cube, how the cube aggregation process works, and to visualize the analytical results added to the cube by other Space Time Pattern Mining tools. See Visualizing the Space Time Cube for strategies to allow you to look at cube contents. + Create Space Time Cube takes point datasets and builds a multidimensional cube data structure (netCDF) for analysis. + Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot + trends over time. You might use the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in + order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals. +
++ The Local Outlier Analysis tool takes the cube as input to identify statistically significant clusters of high or + low values as well as outliers that have values that are statistically different than their neighbors in space and time. +
++ The Utilities toolset enables you to visualize the data and analysis results stored in the space-time cube in two and + three dimensions.These visualization tools can be used to understand the structure of the cube, how the cube aggregation + process works, and to visualize the analytical results added to the cube by other Space Time Pattern Mining tools. + See Visualizing the Space Time Cube for strategies to allow you to look at cube contents.
+ NetCDF Extractor is a Windows software for viewing, converting, merging, and extracting + data from .nc and .nc4 files. It can extract several nc files simultaneously. When a user + wants to extract several files of nc format simultaneously, he/she requires to load them + at a same time: loading the files one by one will be a time consuming and tedious process + and prone to error. With this software the user can save time and quickly do the extract process. +
++ In addition, it has a calculator tool. By entering latitude and longitude of the desirable region + into the calculator, the user can view the grid number of that region +
++ In the latest version of NetCDF Extractor, Agrimetsoft has added two options:”Sum” and “Average”. + So, the user can easily calculate the average and sum values of the selected area (grids). Data is + shown in an organized table, and you can choose to export everything to Excel. This tool is flexible + to run for various datasets such as CMIP5 models, AgMERRA, Aphrodite, CRU, and etc.Agrimetsoft support + all the users until they can extract the data.