Estimation of Precipitation Area and Rain Intensity Based on the Microphysical Properties Retrieved from NOAA AVHRR Data
Open Access
- 1 March 1997
- journal article
- Published by American Meteorological Society in Journal of Applied Meteorology and Climatology
- Vol. 36 (3) , 234-242
- https://doi.org/10.1175/1520-0450(1997)036<0234:eopaar>2.0.co;2
Abstract
This paper investigates the feasibility of a quantitative estimation of precipitation from space, based on retrieval of microphysical properties of cloud tops using Advanced Very High Resolution Radiometer data. The effective radius re of cloud particles is calculated for highly reflective clouds in the visible wavelength, assuming that these are water clouds with infinite optical thickness at the 3.7-μm channel. A large effective radius indicates the presence of large droplets and/or ice in the clouds. The distinction between large droplets and ice is not necessary because the existence of either near the tops of thick clouds is conducive to the precipitation formation processes. In addition to the microphysical information, the fraction of rain cloud coverage and cloud spatial structure (convective and stratiform) were used for the rain estimation algorithm. The satellite estimates were compared to radar data. Encouraging results were obtained for winter precipitation clouds in Israel with a wi... Abstract This paper investigates the feasibility of a quantitative estimation of precipitation from space, based on retrieval of microphysical properties of cloud tops using Advanced Very High Resolution Radiometer data. The effective radius re of cloud particles is calculated for highly reflective clouds in the visible wavelength, assuming that these are water clouds with infinite optical thickness at the 3.7-μm channel. A large effective radius indicates the presence of large droplets and/or ice in the clouds. The distinction between large droplets and ice is not necessary because the existence of either near the tops of thick clouds is conducive to the precipitation formation processes. In addition to the microphysical information, the fraction of rain cloud coverage and cloud spatial structure (convective and stratiform) were used for the rain estimation algorithm. The satellite estimates were compared to radar data. Encouraging results were obtained for winter precipitation clouds in Israel with a wi...Keywords
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