TY - JOUR
T1 - Development of a rapid retrieval method for cloud optical thickness and cloud-top height using Himawari-8 infrared measurements
AU - Sakai, Shogo
AU - Iwabuchi, Hironobu
AU - Zhang, Feng
N1 - Funding Information:
The Himawari-8 data used in the present study were obtained from the Science Cloud at the National Institute of Information and Communications Technology (NICT), Japan. This work was supported by the 1st Research Announcement on the Earth Observations of the Japan Aerospace Exploration Agency (JAXA) (PI No.: RA1R306) and a Grant for Environmental Research Projects from the Sumitomo Foundation. Feng Zhang is supported by the National Natural Science Foundation of China (Grants 41675003 and 41775008).
Publisher Copyright:
© The Author(s) 2019.
PY - 2019
Y1 - 2019
N2 - We have developed a rapid simplified algorithm to retrieve cloud optical thickness and cloud-top height from measurements of the infrared split-window bands of Himawari-8. The method is based on a rapid calculation model for clear-sky brightness temperatures and empirical equations for cloud, for which the coefficients are determined by a fit to a more rigorous radiative-transfer model. This method can be applied regardless of regions excluding the polar regions and season by taking into account the temperature, humidity, sea surface temperature, and surface emissivity. In this study, we have demonstrated that this method captures well the diurnal cycle of cloud amounts of different cloud types in the warm-pool region around Indonesia. With an accelerated retrieval process by a factor of around 1,000 compared with the the physics- based retrieval, our rapid cloud retrieval algorithm yielded cloud amounts that agree quantitatively with those from a more rigorous, physics-based cloud retrieval method.
AB - We have developed a rapid simplified algorithm to retrieve cloud optical thickness and cloud-top height from measurements of the infrared split-window bands of Himawari-8. The method is based on a rapid calculation model for clear-sky brightness temperatures and empirical equations for cloud, for which the coefficients are determined by a fit to a more rigorous radiative-transfer model. This method can be applied regardless of regions excluding the polar regions and season by taking into account the temperature, humidity, sea surface temperature, and surface emissivity. In this study, we have demonstrated that this method captures well the diurnal cycle of cloud amounts of different cloud types in the warm-pool region around Indonesia. With an accelerated retrieval process by a factor of around 1,000 compared with the the physics- based retrieval, our rapid cloud retrieval algorithm yielded cloud amounts that agree quantitatively with those from a more rigorous, physics-based cloud retrieval method.
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U2 - 10.2151/SOLA.2019-012
DO - 10.2151/SOLA.2019-012
M3 - Article
AN - SCOPUS:85065479112
SN - 1349-6476
VL - 15
SP - 57
EP - 61
JO - Scientific Online Letters on the Atmosphere
JF - Scientific Online Letters on the Atmosphere
ER -