国立研究開発法人土木研究所

論文・刊行物検索

利用者の方へ

詳細情報

論文投稿 Radiative Characteristics at 89 and 36 GHz for Satellite-Based Cloud Water Estimation Over Land

作成年度 2020 年度
論文名 Radiative Characteristics at 89 and 36 GHz for Satellite-Based Cloud Water Estimation Over Land
論文名(和訳)
論文副題
発表会
誌名 IEEE Transactions on Geoscience and Remote Sensing ( Volume: 59, Issue: 2, Feb. 2021)
巻・号・回 2,59 2
発表年月日 2021/02/01
所属研究室/機関名 著者名(英名)
Tokyo Institute of Technology, Meguro-ku, Tokyo, JapanRie Seto
ICHARMKentaro Aida
ICHARMToshio Koike
Tokyo Institute of Technology, Meguro-ku, Tokyo, JapanShinjiro Kanae
抄録
Satellite-based passive microwave (PMW) remote sensing is an essential technique to clarify long-term and large-scale distribution patterns of cloud water content (CWC). However, most CWC estimation methods are not implemented over land because of high heterogeneity of land radiation, and the detailed characteristics of microwave (MW) radiative transfer between land and atmosphere including clouds have not been elucidated. This study aims to elucidate these characteristics and reveal the accuracy of land emissivity representation necessary for adequate CWC estimation over land using satellite-based PMW under various CWC conditions. First, important parameters related to MW radiative transfer between land and atmosphere at CWC-relevant frequencies in the presence of clouds are determined theoretically. Next, the relationship between errors in these parameters and the brightness temperatures used for CWC estimation is clarified through considerations based on radiative transfer equations. Then, ground-based PMW observations and numerical simulation are used to reveal the actual values of these important parameters and the size of errors. Finally, the results show that for any cloud liquid water path (LWP) value greater than 1.6 kg/m 2 at 89 GHz and 5 kg/m 2 at 36 GHz, we can reasonably neglect the heterogeneity of emissivity and radiation from the land surface for CWC estimation. However, when LWP values are below the threshold, the error in the representation of land emissivity should be kept below 0.015 for both 89- and 36-GHz data, and volumetric soil moisture content should have an error lower than 5%-6% for both frequencies.
ページの先頭へ

この画面を閉じる

Copyright (C) 2022 Independent Administrative Institution Public Works Research Institute