Advance and validation of leaf-wetness estimating method using meteorological data

2014 Fiscal Year Final Research Report

• Project/Area Number: 24540467
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Meteorology/Physical oceanography/Hydrology
• Research Institution: Tohoku University
• Principal Investigator: YAMAZAKI Takeshi 東北大学, 理学(系)研究科(研究院), 准教授 (80220317)
• Co-Investigator(Kenkyū-buntansha): KANNO Hiromitsu 国立研究開発法人, 農業・食品産業技術総合研究機構・中央農業総合研究センター, 上席研究員 (30355276) ; KOBAYASHI Takashi 山形大学, 農学部, 准教授 (00355273)
• Co-Investigator(Renkei-kenkyūsha): IWASAKI Toshiki 東北大学, 大学院理学研究科, 教授 (80302074)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 植生熱収支モデル / 葉面濡れ / 結露 / いもち病 / 湿度 / 下向き大気放射 / 将来予測 / 降水頻度

Outline of Final Research Achievements

Meteorological observation was conducted to obtain input and validation data for leaf-wetness estimation with a vegetation heat-balance model, 2LM, at rice paddy fields in Miyagi Prefecture. The wet/dry situation of leaf was reproduced with accuracy of 70 to 80 percent by the 2LM simulation with the observed meteorological data.
The climate change impacts on leaf wetness was estimated in Japan by 2LM with 20 km mesh data downscaled from outputs of three general circulation models. The leaf wetness will be estimated to decrease during the period from 2081 to 2100. The rice blast infected area in future was predicted in eastern Japan with MIROC5 output through newly developed relationship between the number of wet days simulated by 2LM and infected area from statistical data.

Free Research Field

気象学