@article{oai:jaxa.repo.nii.ac.jp:00022647,
 author = {石井, 昌憲 and 岡本, 幸三 and Baron, Philippe and 久保田, 拓志 and 佐藤, 洋平 and 境澤, 大亮 and 石橋, 俊之 and 田中, 泰宙 Y and 山下, 浩史 and 落合, 啓 and 蒲生, 京佳 and 安井, 元昭 and 沖, 理子 and 佐藤, 正樹 and 岩崎, 俊樹 and Ishii, Shoken and Okamoto, Kozo and Baron, Philippe and Kubota, Takuji and Satoh, Yohei and Sakaizawa, Daisuke and Ishibashi, Toshiyuki and Tanaka, Taichu  Y. and Yamashita, Koji and Ochiai, Satoshi and Gamo, Kyoka and Yasui, Motoaki and Oki, Riko and Satoh, Masaki and Iwasaki, Toshiki},
 journal = {SOLA : Scientific Online Letters on the Atmosphere},
 month = {Feb},
 note = {Global wind profile observation is important to improve initial conditions for numerical weather prediction (NWP), general circulation model, and various other meteorological studies. A space-borne Doppler wind lidar (DWL) is one of promising remote sensing techniques for global wind measurement. We describe a study based on simulated satellite measurements for assessing the measurement performances of a Japanese coherent DWL. Global simulations are performed using pseudo-truth atmospheric model of an observing system simulation experiment (OSSE) conducted using the global NWP system of the Japan Meteorological Agency. Wind profile retrieval simulations have been performed for 1 month (August, 2010) and the results show that the percentage of good quality estimates is 40% below 8 km, and it decreases to 10% at 8-20 km in the southern hemisphere and is 20-50% in the northern hemisphere. Expected line-of-sight wind speed errors for good quality estimates are 0.5 m s(exp -1) below 8 km and 1.1 m s(exp -1) at 8-20 km. In the future, the simulated observations will be used in the OSSE to quantitatively infer the potential impacts on NWP accuracy. To illustrate such analysis, results are shown from an initial validation test using a simple wind measurement model instead of the realistic DWL simulations., 形態: カラー図版あり, Physical characteristics: Original contains color illustrations, 資料番号: PA1610017000},
 pages = {55--59},
 title = {Measurement Performance Assessment of Future Space-Borne Doppler Wind Lidar for Numerical Weather Prediction},
 volume = {12},
 year = {2016}
}