Ice cloud properties from himawari-8/ahi ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
Ice cloud properties from himawari-8/ahi next-generation geostationary satellite: capability of the ahi to monitor the dc cloud generation process
Author(s) :
Letu, Husi [Auteur]
Chinese Academy of Sciences [Beijing] [CAS]
Nakajima, Takashi Y. [Auteur]
Tokai University
Riedi, Jerome [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Ishimoto, Hiroshi [Auteur]
Meteorological Research Institute [Tsukuba] [MRI]
Baran, Anthony J. [Auteur]
University of Hertfordshire [Hatfield] [UH]
Shang, Huazhe [Auteur]
Chinese Academy of Sciences [Beijing] [CAS]
Sekiguchi, Miho [Auteur]
Tokyo University of Marine Science and Technology [TUMSAT]
Kikuchi, Maki [Auteur]
Japan Aerospace Exploration Agency [Tsukuba] [JAXA]
Chinese Academy of Sciences [Beijing] [CAS]
Nakajima, Takashi Y. [Auteur]
Tokai University
Riedi, Jerome [Auteur]
![refId](/themes/Mirage2//images/idref.png)
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Ishimoto, Hiroshi [Auteur]
Meteorological Research Institute [Tsukuba] [MRI]
Baran, Anthony J. [Auteur]
University of Hertfordshire [Hatfield] [UH]
Shang, Huazhe [Auteur]
Chinese Academy of Sciences [Beijing] [CAS]
Sekiguchi, Miho [Auteur]
Tokyo University of Marine Science and Technology [TUMSAT]
Kikuchi, Maki [Auteur]
Japan Aerospace Exploration Agency [Tsukuba] [JAXA]
Journal title :
IEEE Transactions on Geoscience and Remote Sensing
Abbreviated title :
IEEE Trans. Geosci. Remote Sensing
Volume number :
57
Publication date :
2019-06-01
ISSN :
0196-2892
English keyword(s) :
DC cloud
ice clouds
remote sensing
retrieval algorithm
ice clouds
remote sensing
retrieval algorithm
HAL domain(s) :
Physique [physics]
English abstract : [en]
The Japan Meteorological Agency (JMA) successfully launched the Himawari-8 (H-8) new-generation geostationary meteorological satellite with the Advanced Himawari Imager (AHI) sensor on October 7, 2014. The H-8/AHI level-2 ...
Show more >The Japan Meteorological Agency (JMA) successfully launched the Himawari-8 (H-8) new-generation geostationary meteorological satellite with the Advanced Himawari Imager (AHI) sensor on October 7, 2014. The H-8/AHI level-2 (L2) operational cloud property products were released by the Japan Aerospace Exploration Agency during September 2016. The Voronoi light scattering model, which is a fractal ice particle habit, was utilized to develop the retrieval algorithm called “Comprehensive Analysis Program for Cloud Optical Measurement” (CAPCOM-INV)-ice for the AHI ice cloud product. In this paper, we describe the CAPCOM-INV-ice algorithm for ice cloud products from AHI data. To investigate its retrieval performance, retrieval results were compared with 2000 samples of the ice cloud optical thickness and effective particle radius values. Furthermore, AHI ice cloud products are evaluated by comparing them with the MODIS collection-6 (C6) products. As an experiment, cloud property retrievals from AHI measurements, with an observation interval time of 2.5 min and ground-based rainfall observation radar data (the latter of which is supplied by the JMA, with a 1-km grid mesh), are used to investigate the generation processes of deep convective (DC) cloud in the vicinity of the Kyushu island, Japan. It revealed that AHI measurements have the capability of monitoring the growth processes, including variation of the cloud properties and the precipitation in the DC cloud.Show less >
Show more >The Japan Meteorological Agency (JMA) successfully launched the Himawari-8 (H-8) new-generation geostationary meteorological satellite with the Advanced Himawari Imager (AHI) sensor on October 7, 2014. The H-8/AHI level-2 (L2) operational cloud property products were released by the Japan Aerospace Exploration Agency during September 2016. The Voronoi light scattering model, which is a fractal ice particle habit, was utilized to develop the retrieval algorithm called “Comprehensive Analysis Program for Cloud Optical Measurement” (CAPCOM-INV)-ice for the AHI ice cloud product. In this paper, we describe the CAPCOM-INV-ice algorithm for ice cloud products from AHI data. To investigate its retrieval performance, retrieval results were compared with 2000 samples of the ice cloud optical thickness and effective particle radius values. Furthermore, AHI ice cloud products are evaluated by comparing them with the MODIS collection-6 (C6) products. As an experiment, cloud property retrievals from AHI measurements, with an observation interval time of 2.5 min and ground-based rainfall observation radar data (the latter of which is supplied by the JMA, with a 1-km grid mesh), are used to investigate the generation processes of deep convective (DC) cloud in the vicinity of the Kyushu island, Japan. It revealed that AHI measurements have the capability of monitoring the growth processes, including variation of the cloud properties and the precipitation in the DC cloud.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
CNRS
Université de Lille
Université de Lille
Collections :
Submission date :
2024-01-30T11:45:55Z
2024-02-27T09:05:06Z
2024-02-27T09:05:06Z