Articles | Volume 9, issue 4
Atmos. Meas. Tech., 9, 1587–1599, 2016
Atmos. Meas. Tech., 9, 1587–1599, 2016

Research article 11 Apr 2016

Research article | 11 Apr 2016

MODIS Collection 6 shortwave-derived cloud phase classification algorithm and comparisons with CALIOP

Benjamin Marchant et al.

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Cited articles

Ackerman, S., Frey, R., Strabala, K., Liu, Y., Gumley, L., Baum, B., and Menzel, P.: Discriminating clear-sky from cloud with MODIS algorithm theoretical basis document (MOD35), ATBD reference number ATBDMpaych-OD-06, 129 pp., 2010.
Baum, B. A., Soulen, P. F., Strabala, K. I., King, M. D., Ackerman, S. A., Menzel, W. P., and Yang, P.: Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS 2, Cloud thermodynamic phase, J. Geophys. Res., 105, 11781–11792, 2000.
Baum, B. A., Menzel, W. P., Frey, R. A., Tobin, D. C., Holz, R. E., Ackerman, S. A., Heidinger, A. K., and Yang, P.: MODIS cloud top property refinements for Collection 6, J. Appl. Meteorol. Climatol., 51, 1145–1163, 2012.
Chahine, M. T.: The hydrological cycle and its influence on climate, Nature, 359, 373–379, 1992.
Gao, B.-C., Goetz, A. F., and Wiscombe, W. J.: Cirrus cloud detection from airborne imaging spectrometer data using the 1.38 µm water vapor band, Geophys. Res. Lett., 20, 301–304, 1993.
Short summary
The current paper presents the new MODIS Collection 6 (C6) cloud thermodynamic phase classification algorithm. To evaluate the performance of the C6 cloud phase algorithm, extensive granule-level and global comparisons have been conducted against the heritage C5 algorithm and CALIOP. A wholesale improvement is seen for C6 compared to C5.