Ice cloud properties from himawari-8/ahi ...
Type de document :
Article dans une revue scientifique: Article original
URL permanente :
Titre :
Ice cloud properties from himawari-8/ahi next-generation geostationary satellite: capability of the ahi to monitor the dc cloud generation process
Auteur(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]
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]
Titre de la revue :
IEEE Transactions on Geoscience and Remote Sensing
Nom court de la revue :
IEEE Trans. Geosci. Remote Sensing
Numéro :
57
Date de publication :
2019-06-01
ISSN :
0196-2892
Mot(s)-clé(s) en anglais :
DC cloud
ice clouds
remote sensing
retrieval algorithm
ice clouds
remote sensing
retrieval algorithm
Discipline(s) HAL :
Physique [physics]
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CNRS
Université de Lille
Université de Lille
Collections :
Date de dépôt :
2024-01-30T11:45:55Z
2024-02-27T09:05:06Z
2024-02-27T09:05:06Z