研究者業績

齋藤 尚子

サイトウ ナオコ  (Naoko Saitoh)

基本情報

所属
千葉大学 環境リモートセンシング研究センター衛星データ処理室 准教授
学位
博士(理学)(2003年3月 奈良女子大学)

J-GLOBAL ID
200901063041476621
researchmap会員ID
5000052416

論文

 47
  • Dmitry A. Belikov, Prabir K. Patra, Yukio Terao, Manish Naja, Md. Kawser Ahmed, Naoko Saitoh
    Progress in Earth and Planetary Science volume 11(36) 2024年6月  
  • Ryoichi Imasu, Tsuneo Matsunaga, Masakatsu Nakajima, Yukio Yoshida, Kei Shiomi, Isamu Morino, Naoko Saitoh, Yosuke Niwa, Yu Someya, Yu Oishi, Makiko Hashimoto, Hibiki Noda, Kouki Hikosaka, Osamu Uchino, Shamil Maksyutov, Hiroshi Takagi, Haruma Ishida, Takashi Y. Nakajima, Teruyuki Nakajima, Chong Shi
    Progress in Earth and Planetary Science 10(1) 2023年7月3日  
    Abstract The Greenhouse gases Observing SATellite 2 (GOSAT-2) was launched in January 2018 as a successor to GOSAT (launched in 2009), the first satellite to specialize in greenhouse gas observations. Compared to the GOSAT sensors, the sensors of GOSAT-2 offer higher performance in most respects. The quality and quantity of data from observations are expected to be improved accordingly. The signal-to-noise ratio (SNR) is better in both the SWIR and TIR bands of TANSO-FTS-2, which is the main sensor of GOSAT-2. This improvement ultimately enhances the accuracy of greenhouse gas concentration analysis. Furthermore, because of the improved SNR in the SWIR band, the northern limit at which data are obtainable in high-latitude regions of the Northern Hemisphere in winter, where observation data have remained unavailable because of weak signal strength, has moved to higher latitudes. As better data are obtained in greater quantities, progress in carbon cycle research for high-latitude regions is anticipated. Moreover, the improvement of SNR in the TIR band is expected to be considerable. Particularly, the resolutions of the vertical concentration distributions of CO2 and CH4 have been improved drastically. The first function introduced for GOSAT-2 that is not in GOSAT is an intelligent pointing mechanism: a cloud area avoidance function using the in-field camera of TANSO-FTS-2. This function can increase the amounts of observation data globally and can improve the accuracy of CO2 emissions estimation and measurements of uptake intensity. The effects are expected to be strong, especially for the tropics because cumulus clouds are the most common cloud type. The intelligent pointing system can avoid the clouds effectively. Another important benefit of TANSO-FTS-2 is that the wavelength range of Band 3 of SWIR has been expanded for measuring carbon monoxide (CO). Because CO originates from combustion, it is used to evaluate some effects of human activities in urban areas and biomass burning in fields. Particularly, black carbon-type aerosols can be measured by the sub-sensor, TANSO-CAI-2, to assess biomass burning along with CO2 and CO by TANSO-FTS-2.
  • Aung Zaw Oo, Akinori Yamamoto, Keisuke Ono, Chellappan Umamageswari, Masayoshi Mano, Koothan Vanitha, Palanisamy Elayakumar, Shoji Matsuura, Kaliappan Sathiya Bama, Marimuthu Raju, Kazuyuki Inubushi, Shigeto Sudo, Naoko Saitoh, Sachiko Hayashida, Venkatachalam Ravi, Vellaisamy Ambethgar
    Science of The Total Environment 158541-158541 2022年9月  
  • Dmitry Belikov, Naoko Saitoh, Prabir K. Patra
    Journal of Geophysical Research: Atmospheres 127(14) 2022年7月  査読有り
  • Philippe Ricaud, Jean-Luc Attié, Rémi Chalinel, Frédérick Pasternak, Joël Léonard, Isabelle Pison, Elizabeth Pattey, Rona L. Thompson, Zdenek Zelinger, Jos Lelieveld, Jean Sciare, Naoko Saitoh, Juying Warner, Audrey Fortems-Cheiney, Hélène Reynal, Jérôme Vidot, Laure Brooker, Laurent Berdeu, Olivier Saint-Pé, Prabir K. Patra, Michal Dostál, Jan Suchánek, Václav Nevrlý, Christine Groot Zwaaftink
    Remote Sensing of Environment 266 112688-112688 2021年12月  査読有り

MISC

 53

共同研究・競争的資金等の研究課題

 16