Data intensive scientific analysis with grid computing

Olivier Terzo; Lorenzo Mossucca; Manuela Cucca; Riccardo Notarpietro

International Journal of Applied Mathematics and Computer Science (2011)

  • Volume: 21, Issue: 2, page 219-228
  • ISSN: 1641-876X

Abstract

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At the end of September 2009, a new Italian GPS receiver for radio occultation was launched from the Satish Dhawan Space Center (Sriharikota, India) on the Indian Remote Sensing OCEANSAT-2 satellite. The Italian Space Agency has established a set of Italian universities and research centers to implement the overall processing radio occultation chain. After a brief description of the adopted algorithms, which can be used to characterize the temperature, pressure and humidity, the contribution will focus on a method for automatic processing these data, based on the use of a distributed architecture. This paper aims at being a possible application of grid computing for scientific research.

How to cite

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Olivier Terzo, et al. "Data intensive scientific analysis with grid computing." International Journal of Applied Mathematics and Computer Science 21.2 (2011): 219-228. <http://eudml.org/doc/208042>.

@article{OlivierTerzo2011,
abstract = {At the end of September 2009, a new Italian GPS receiver for radio occultation was launched from the Satish Dhawan Space Center (Sriharikota, India) on the Indian Remote Sensing OCEANSAT-2 satellite. The Italian Space Agency has established a set of Italian universities and research centers to implement the overall processing radio occultation chain. After a brief description of the adopted algorithms, which can be used to characterize the temperature, pressure and humidity, the contribution will focus on a method for automatic processing these data, based on the use of a distributed architecture. This paper aims at being a possible application of grid computing for scientific research.},
author = {Olivier Terzo, Lorenzo Mossucca, Manuela Cucca, Riccardo Notarpietro},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {grid computing; GPS radio occultation; scheduler; agent; e-science},
language = {eng},
number = {2},
pages = {219-228},
title = {Data intensive scientific analysis with grid computing},
url = {http://eudml.org/doc/208042},
volume = {21},
year = {2011},
}

TY - JOUR
AU - Olivier Terzo
AU - Lorenzo Mossucca
AU - Manuela Cucca
AU - Riccardo Notarpietro
TI - Data intensive scientific analysis with grid computing
JO - International Journal of Applied Mathematics and Computer Science
PY - 2011
VL - 21
IS - 2
SP - 219
EP - 228
AB - At the end of September 2009, a new Italian GPS receiver for radio occultation was launched from the Satish Dhawan Space Center (Sriharikota, India) on the Indian Remote Sensing OCEANSAT-2 satellite. The Italian Space Agency has established a set of Italian universities and research centers to implement the overall processing radio occultation chain. After a brief description of the adopted algorithms, which can be used to characterize the temperature, pressure and humidity, the contribution will focus on a method for automatic processing these data, based on the use of a distributed architecture. This paper aims at being a possible application of grid computing for scientific research.
LA - eng
KW - grid computing; GPS radio occultation; scheduler; agent; e-science
UR - http://eudml.org/doc/208042
ER -

References

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  13. Luntama, J.P., Kirchengast, G., Borsche, M., Foelsche, U., Steiner, A., Healy, S., von Engeln, A., O'Clerigh, E. and Marquardt, C. (2008). Prospects of the EPS GRAS mission for operational atmospheric applications, Bulletin of the American Meteorological Society 89(12): 1863. 
  14. Melbourne, W.G., Davis, E.S., Duncan, C.B., Hajj, G.A., Hardy, K.R. , Kursinski, E.R., Meehan, T.K., Young, L.E. and Yunck T.P. (1994). The application of spaceborne GPS to atmospheric limb sounding and global change monitoring, JPL Publication, pp: 18-94. 
  15. Wickert J., Schmidt T., Beyerle G., Knig R., Reigber C. and Jakowski N. (2004). The radio occultation experiment aboard CHAMP: Operational data analysis and validation of vertical atmospheric profiles, Journal of the Meteorological Society of Japan 82(1B): 381-395. 

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