Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Kazumasa Aonashi"'
Publikováno v:
Journal of the Meteorological Society of Japan. Ser. II. 99:1201-1230
A new version of Global Satellite Mapping of Precipitation (GSMaP) product released in December 2021
Autor:
Takuji Kubota, Kazumasa Aonashi, Tomoo Ushio, Shoichi Shige, Moeka Yamaji, Munehisa Yamamoto, Hitoshi Hirose, Yukari Takayabu
The Global Satellite Mapping for Precipitation (GSMaP) produces high-resolution and high-frequent global rainfall map based on multi-satellite passive microwave radiometer observations with information from the Geostationary InfraRed (IR) instruments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5f7b7d5fb34112a1f6a38834b32b084
https://doi.org/10.5194/egusphere-egu22-3328
https://doi.org/10.5194/egusphere-egu22-3328
Autor:
Kazumasa Aonashi, Ralph Ferraro
Publikováno v:
Advances in Global Change Research ISBN: 9783030245672
Passive microwave sensors flown on low Earth orbiting satellites are the cornerstones to precipitation retrieval because of their strong connection to the physical processes related to rain and snow. They penetrate through cirrus clouds and respond t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a639c8e9e0932d06cd153979586663a
https://doi.org/10.1007/978-3-030-24568-9_4
https://doi.org/10.1007/978-3-030-24568-9_4
Autor:
Tomoaki Mega, Riko Oki, Misako Kachi, Tomoo Ushio, Munehisa K. Yamamoto, Nozomi Kawamoto, Yukari N. Takayabu, Atsushi Hamada, Yoriko Arai, Takeshi Masaki, Tomoko Tashima, Moeka Yamaji, Kazumasa Aonashi, Takuji Kubota, Guosheng Liu, Shoichi Shige
Publikováno v:
Advances in Global Change Research ISBN: 9783030245672
As the Japanese Global Precipitation Measurement (GPM) product, the Global Satellite Mapping of Precipitation (GSMaP) has been provided by the Japan Aerospace Exploration Agency (JAXA) to distribute hourly global precipitation map with 0.1° × 0.1°
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4bcb6f5c3c775f7bafb5fd7c2bc4299
https://doi.org/10.1007/978-3-030-24568-9_20
https://doi.org/10.1007/978-3-030-24568-9_20
Autor:
Kazumasa Aonashi, Udai Shimada, Munehiko Yamaguchi, Masahiro Sawada, Takeshi Iriguchi, Kate D. Musgrave, Mark DeMaria, Hiromi Owada
Publikováno v:
Weather and Forecasting. 33:1587-1603
The Statistical Hurricane Intensity Prediction Scheme (SHIPS) is a multiple regression model for forecasting tropical cyclone (TC) intensity [both central pressure (Pmin) and maximum wind speed (Vmax)]. To further improve the accuracy of the Japan Me
Publikováno v:
Monthly Weather Review. Mar2017, Vol. 145 Issue 3, p1003-1017. 15p. 4 Charts, 6 Graphs, 4 Maps.
Publikováno v:
Monthly Weather Review. 145:1003-1017
The relationship of tropical cyclone (TC) future intensity change to current intensity and current axisymmetricity deduced from hourly Global Satellite Mapping of Precipitation (GSMaP) data was investigated. Axisymmetricity is a metric that correlate
Publikováno v:
Journal of the Meteorological Society of Japan; Oct2021, Vol. 99 Issue 5, p1201-1230, 30p
Publikováno v:
Monthly Weather Review. 144(12):4751-4770
6th WMO Data Assimilation Symposium (October 7-11, 2013. University of Maryland), College Park, Maryland, United States
形態: カラー図版あり
Physical characteristics: Original contains color illustrations
資料番号: PA17100
形態: カラー図版あり
Physical characteristics: Original contains color illustrations
資料番号: PA17100
Publikováno v:
Monthly Weather Review. 144:2307-2326
Space-based precipitation radar data have been underused in data assimilation studies and operations despite their valuable information on vertically resolved hydrometeor profiles around the globe. The authors developed direct assimilation of reflect