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Record Search Query:

Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers (VAPOR)
Entry ID: UCAR_VAPOR

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Summary

Abstract: Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers (VAPOR) provides:

1. A visual data discovery environment tailored towards the specialized needs of the geosciences CFD community
2. A desktop solution capable of handling terascale size data sets
3. Advanced interactive 3D visualization tightly coupled with quantitative data analysis
4. Support for multi-variate, time-varying data
5. Close coupling with RSI's powerful interpretive data language, IDL.
6. Support for 3D visualization of WRF-ARW datasets

[Summary provided by UCAR.]

Description: Download the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers (VAPOR) software.

Service Citation

Originators: Clyne, J., Mininni, P., Norton, A., and Rast, M.
Title: Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers (VAPOR)
Provider: National Center for Atmospheric Research
URL: http://www.vapor.ucar.edu/

Service Keywords

DATA ANALYSIS AND VISUALIZATION >VISUALIZATION/IMAGE PROCESSING

DATA MANAGEMENT/DATA HANDLING >TRANSFORMATION/CONVERSION

DATA MANAGEMENT/DATA HANDLING >DATA INTEROPERABILITY

Science Keywords

AGRICULTURE >AGRICULTURAL AQUATIC SCIENCES

AGRICULTURE >AGRICULTURAL CHEMICALS

ISO Topic Category

FARMING
BIOTA

Project

ESIP >Earth Science Information Partners Program

Quality THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITYAND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAG

Use Constraints Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

Redistributions of source code must retain the above copyright notices, as included in the source code, this list of conditions and the following disclaimer.

...

Ancillary Keywords

Visualization
Data Analysis
Geoscience
IDL

Service Provider

UCAR/NCAR/CISL/HSS/DASG > Data Analysis Services Group, High End Services Section, Computational & Information Systems, National Center for Atmospheric Research, University Corporation for Atmospheric Research

Service Organization URL: http://www.cisl.ucar.edu/hss/dasg/

Service Provider Personnel
Name: DATA ANALYSIS SERVICES GROUP Email: dasg at ucar.edu Contact Address: P.O. Box 3000 City: Boulder Province or State: CO Postal Code: 80307-3000 Country: USA

Distribution Media

Distribution_Media: Online
Fees: No fees

Personnel

VAPOR SUPPORT
Role: TECHNICAL CONTACT
Email: vapor at ucar.edu

TYLER B. STEVENS
Role: SERF AUTHOR
Phone: (301) 614-6898
Fax: 301-614-5268
Email: Tyler.B.Stevens at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA

Publications/References

Diner, D.J., J.V. Martonchik, C. Borel, S.A.W. Gerstl, H.R. Gordon, Y. Knyazikhin, R. Myneni, B. Pinty, and M.M. Verstraete. 1999. MISR Level-2 surface retrieval algorithm theoretical basis document. Pasadena, CA: Jet Propulsion Laboratory. Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) systems and operations concept. Greenbelt, MD: Goddard Space Flight Center. ... Hall, D.K., G.A. Riggs, and V.V. Salomonson. September 2001a. Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow-, Lake Ice- and Sea Ice-Mapping Algorithms. Greenbelt, MD: Goddard Space Flight Center. <http://modis-snow-ice.gsfc.nasa.gov/atbd.html> . Hall, D.K., G.A. Riggs, V.V. Salomonson, N.E. DiGirolamo, and K.J. Bayr. 2002. MODIS snow-cover products. Remote Sensing of the Environment 83: 181-194. Hall, D.K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall. Hall, D.K., J.L. Foster, D.L. Verbyla, A.G. Klein, and C.S. Benson. 1998. Assessment of snow cover mapping accuracy in a variety of vegetation cover densities in central Alaska. Remote Sensing of the Environment 66: 129-137. Hall, D.K., J.L. Foster, V.V. Salomonson, A.G. Klein, and J.Y.L. Chien. 2001b. Development of a technique to assess snow-cover mapping accuracy from space. IEEE Transactions on Geoscience and Remote Sensing 39(2): 232-238. Hall, D.K., G.A. Riggs. 2006. Assessment of errors in the MODIS suite of snow-cover products. Hydrological Processes, in press. Hapke, B. 1993. Theory of reflectance and emittance spectroscopy. Cambridge: Cambridge University Press. Klein, A. MODIS Snow Albedo Prototype. 2003. <http://geog.tamu.edu/klein/modis_albedo/> Accessed July 2003. Klein, A.G., and J. Stroeve. 2002. Development and validation of a snow albedo algorithm for the MODIS instrument. Annals of Glaciology 34: 45-52. Klein, A.G., D.K. Hall, and G.A. Riggs. 1998. Improving snow-cover mapping in forests through the use of a canopy reflectance model. Hydrologic Processes 12(10-11): 1723-1744. Markham, B.L. and J.L. Barker. 1986. Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures. EOSAT Technical Notes 1:3-8. MODIS Characterization and Support Team (MCST). 2000. MODIS Level-1B product user's guide for Level-1B Version 2.3.x Release 2. MCST Document #MCM-PUG-01-U-DNCN. MODIS Science and Instrument Team. MODIS Web (July 2003). <http://modis.gsfc.nasa.gov/> Accessed October 2000. Pearson II, F. 1990. Map projections: theory and applications. Boca Raton, FL: CRC Press, Inc. Riggs, G.A., D.K. Hall, and V.V. Salomonson. January 2006. MODIS snow products user guide for collection 4 data products. <http://modis-snow-ice.gsfc.nasa.gov/sug_main.html>. Salomonson, V. and I. Appel. 2006. Development of the Aqua MODIS NDSI Fractional Snow Cover Algorithm and Validation Results. Transactions on Geoscience and Remote Sensing 44(7):1747-1756. Salomonson, V. and I. Appel. 2004. Estimating fractional snow cover from MODIS using the normalized difference snow index (NDSI). Remote Sensing of the Environment 89:351-360. Wiscombe, W.J. and S.G. Warren. 1980. A model for the spectral albedo of snow I: pure snow. Journal of the Atmospheric Sciences 37: 2712-2733.

Creation and Review Dates

SERF Creation Date: 2008-11-18
SERF Last Revision Date: 2012-02-15

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