Japan Geoscience Union Meeting 2016

Presentation information

International Session (Poster)

Symbol A (Atmospheric and Hydrospheric Sciences) » A-CG Complex & General

[A-CG10] Earth and Planetary satellite observation projects Part II: Satellite Earth Environment Observation

Mon. May 23, 2016 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL6)

Convener:*Riko Oki(Japan Aerospace Exploration Agency), Tadahiro Hayasaka(Graduate School of Science, Tohoku University), Kaoru Sato(Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo), Masaki Satoh(Atmosphere and Ocean Research Institute, The University of Tokyo), Yoshiaki HONDA(Center for Environmental Remote Sensing, Chiba University), Kenlo Nasahara(Faculty of Life and Environmental Sciences, University of Tsukuba), Takashi Nakajima(Tokai University, School of Information Science & Technology, Dept. of Human & Information Science), Taikan Oki(Institute of Industrial Science, The University of Tokyo), Tsuneo Matsunaga(Center for Environmental Measurement and Analysis, National Institute for Environmental Studies), Yukari Takayabu(Atmosphere and Ocean Research Institute, the University of Tokyo), Hiroshi Murakami(Earth Observation Research Center, Japan Aerospace Exploration Agency), Hajime Okamoto(Kyusyu University), Gail Skofronick Jackson(NASA Goddard Space Flight Center), Paul Chang(NOAA College Park), David Crisp(Jet Propulsion Laboratory, California Institute of Technology)

5:15 PM - 6:30 PM

[ACG10-P05] Climatological Cloud Database Estimated by Geostationary Satellite Split-Window Measurements

*Noriyuki Nishi1, Atsushi Hamada2, Hitoshi Hirose3, Hitoshi Mukougawa4 (1.Faculty of Science, Fukuoka Universtiy, 2.AORI, University of Tokyo, 3.CEReS, Chiba University, 4.Disaster Prevention Research Institute, Kyoto University)

Keywords:geostationary satellite, cloud, database

We extended our cloud-top database spatially to the midlatitude and temporally to new satellite Himawari-8. We have already released a database of cloud top height and visible optical thickness (CTOP) with one-hour resolution over the tropical western Pacific and Maritime Continent, using infrared split-window data of the geostationary satellites (MTSAT-1R and MTSAT2) (http://database.rish.kyoto-u.ac.jp/arch/ctop/). By comparing MT-SAT IR observation and the direct observation of the cloud top height by CloudSat radar, we can construct a lookup table (LUT) with which the cloud top height is estimated by using only MTSAT data. Unfortunately, now in the age of Himawari-8 that has been available since July 2015, the CloudSat observations are limited in the daytime and the precise direct comparison with the data cannot be conducted to construct LUT. Therefore, we proceeded an alternative way by constructing a calibration table based on the comparison between MTSAT-2 and Himawari-8 observations during July 2015 when both geostationary satellites were in operation. By using the similar approach repeatedly, it will be possible to construct LUT for the past geostationary satellites that had been in operation before the launch of CloudSat in 2006.
We also tried to extend the targeted region to the mid-latitude. In our present scheme applicable for only tropics, the vertical profile of temperature is assumed to be almost constant in whole tropics and all the year. However, since the temperature variability is much larger in mid latitude, it is not plausible to assume that the same IR radiance comes from the clouds with a certain top height. Therefore, we proposed a new method to use temperature data of the global analysis together. The temperature of the cloud top is estimated through the altitude of the cloud top observed by CloudSat as well as the temperature profile deduced from the global analysis data. Then we constructed LUT of cloud top temperature (not height) by the regression of the MTSAT IR radiance with respect to cloud top temperature. We can get the cloud top height at any point at any time by converting the cloud top temperature to cloud top height, with using global analysis data. A preliminary estimate using this method indicated that the cloud top height is estimated within allowable error even in the mid latitude.