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Satellite Observations

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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery

Part of the book series: Springer Theses ((Springer Theses))

Abstract

The Moderate resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Earth Observing System (EOS) Aqua and Terra platforms with 36 spectral bands provides valuable information about atmosphere, land and oceans. The low earth orbiting satellite at the altitude of 705 Km also gives us important insight into cloud micro-physical characteristics ranging in wavelength from 0.4 to 14.4 µm.

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References

  • Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A., Moeller, C. C., & Gumley, L. E. (1998). Discriminating clear sky from clouds with MODIS. Journal of Geophysical Research, 103(D24), 32141–32157. doi:10.1029/1998JD200032.

    Google Scholar 

  • Cohen, E. R., & Taylor, B. N..(1993). The fundamental physical constants. Physics Today, 45, 9.

    Google Scholar 

  • Jensen, R., Mausel, P., Dias, N., Gonser, R., Yang, C., Everitt, J., & Fletcher, R. (2007). Spectral analysis of coastal vegetation and land cover using AISA+ hyperspectral data. Geocarto International, 22(1), 17–28.

    Google Scholar 

  • Sassen, K., & Wang, Z. (2008). Classifying clouds around the globe with the CloudSat radar: 1 year of results. Geophysical Research Letters, 35, L04805. doi:10.1029/2007GL032591.

    Google Scholar 

  • Stephens, G., et al. (2002). The CloudSat mission and the a-train: A new dimension of space- based observations of clouds and precipitation. Bulletin of the American Meteorological Society, 83, 1771–1790.

    Article  Google Scholar 

  • Wang, Z. K., & Sassen, K. (2007). Level 2 cloud scenario classification product process description and interface control document. Colorado State University: Cooperative Institute for Research in the Atmosphere.

    Google Scholar 

  • Weisz, E., Li, J., Menzel, W. P. Heidinger, A., Kahn, B. & Liu, C.-Y. (2007). Comparisons of airs, modis, cloudsat and calipso cloud top height retrievals. Geophysical Research Letters, 34, 1–5.

    Google Scholar 

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Authors and Affiliations

  1. University of California, Irvine, California, USA

    Nasrin Nasrollahi

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  1. Nasrin Nasrollahi
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Correspondence to Nasrin Nasrollahi .

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© 2015 Springer International Publishing Switzerland

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Nasrollahi, N. (2015). Satellite Observations. In: Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-12081-2_3

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