Record Search Query: [Service_Parameters: Service_Topic='DATA ANALYSIS AND VISUALIZATION', Service_Term='VISUALIZATION/IMAGE PROCESSING']
NCPP interactive plotting tool (NCAR/EOL)
Entry ID: NCAR_ATD_NCPP
Abstract: [Summary Extracted from the NCAR/ATD Home Page]
ncpp is an interactive plotting tool for workstations running X11/R5, Motif
1.2. ncpp allows the user to view histograms of PMS-1D probe data stored in
netCDF files that conform to the NCAR-RAF/nimbus conventions. Both Low-rate and
Mixed-rate files are supported, and files where the data have been reduced
below 1 sps (sample per second), e.g., files ... run through ncav.
A few of its features are:
View raw counts, concentrations, surface area, and volume.
Multiple frames (upto 7 x 9).
Can draw from up to 3 netCDF files on the same plot.
ASCII window, with housekeeping and derived variables.
Ability to edit cell diameters.
Allows user-defined titles, labels, scaling, and major &
minor tic marks.
Ability to add Annotations.
Publication quality [Encapsulated] [color] PostScript printouts.
ncpp was written at the Research Aviation Facility of The National Center for
Atmospheric Research to view and analyze our aircraft data (and NOAA's GIV).
The NCAR-RAF/nimbus conventions were designed to store multi-rate data, i.e.,
variable A may be stored at 5sps and variable B at 25sps. Every effort has been
made to make it "what you see is what you get" between the screen and printouts
More Information: http://www.eol.ucar.edu/
ISO Topic Category
Conway, D. 2002. Advanced Microwave Scanning Radiometer - EOS Quality Assurance Plan. Huntsville, AL Global Hydrology and Climate Center.
Njoku, E. G., T. L. Jackson, V. Lakshmi, T. Chan, and S. V. Nghiem. 2003. Soil Moisture Retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing 41 (2): 215-229.
Njoku, E., T. Chan, W. Crosson, and A. Limaye. 2004. Evaluation of the AMSR-E ... Data Calibration Over Land. Italian Journal of Remote Sensing 29 (4)): 19-37.
Njoku, E.G. and S.K. Chan. 2006. Vegetation and Surface Roughness Effects on AMSR-E Land Observations. Remote Sensing Environment 100(2): 190-199.
Njoku, E. G. 1999. AMSR Land Surface Parameters. Algorithm Theoretical Basis Document: Surface Soil Moisture, Land Surface Temperature, Vegetation Water Content, Version 3.0. Pasadena, CA USA: NASA Jet Propulsion Laboratory.
Creation and Review Dates