日本地球惑星科学連合2021年大会

講演情報

[J] ポスター発表

セッション記号 H (地球人間圏科学) » H-TT 計測技術・研究手法

[H-TT18] 環境リモートセンシング

2021年6月5日(土) 17:15 〜 18:30 Ch.11

コンビーナ:齋藤 尚子(千葉大学環境リモートセンシング研究センター)、入江 仁士(千葉大学環境リモートセンシング研究センター)、島崎 彦人(独立行政法人国立高等専門学校機構 木更津工業高等専門学校)、石内 鉄平(宮城大学)

17:15 〜 18:30

[HTT18-P05] Accounting for atmospheric factors to estimate photosynthetically active radiation from surface solar irradiance

*DAI YAJIE1、入江 仁士1、Damiani Alessandro1 (1.千葉大学)

キーワード:光合成有効放射、地面太陽放射照度に対するPARの割合、大気ファクター、気象識別

Photosynthetically active radiation (PAR) is the energy source for organic matter production in plants. To analyze the long-term PAR changes where no proper PAR data are available, it has been proposed to build the long-term PAR data set using the ratio of PAR to surface solar irradiance (SSI) (PAR/SSI). However, the PAR/SSI is affected by local atmospheric factors. Particularly, the identification of weather conditions is necessary to estimate PAR, but accurate cloud segmentation is challenging. We propose a simple methodology to distinguish clear sky, overcast, and partial cloudy conditions. We exploited the broad range of meteorological instruments available at the SKYNET super site of Chiba University (Japan) to develop a reconstruction method accounting for the atmospheric factors more accurately than previous methods based on annual or monthly averages of PAR/SSI. Using high-temporal-resolution data, we optimized our PAR estimation under clear sky, overcast, and partial cloud conditions. Then, we achieved that the average deviation of the estimated PAR from the quantum sensor PAR-01D is less than 10% when the solar zenith angle is small. This study is expected to make more PAR data available, providing a basis for understanding the impact of microclimate changes on plant photosynthesis.