Characterization of Himawari-8/AHI to Himawari-9/AHI infrared observations continuity

被引:2
|
作者
Zhu, Zhi [1 ]
Gu, Junxia [1 ,2 ]
Xu, Bin [1 ]
Shi, Chunxiang [1 ]
机构
[1] Natl Meteorol Informat Ctr, Data Res Div, Beijing, Peoples R China
[2] Natl Meteorol Informat Ctr, Data Res Div, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Himawari-8/AHI; Himawari-9/AHI; infrared observations continuity; ALL-SKY; ASSIMILATION; RADIANCES; IMAGER; IMPACT;
D O I
10.1080/01431161.2023.2293476
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
As the 'twin imagers', Himawari-8/AHI and Himawari-9/AHI are both the new generation imagers operated by the Japan Meteorological Agency (JMA). After more than 7 years of operation, Himawari-8/AHI turned into stand-by status and Himawari-9/AHI began operation as the successor. To continuous users of both imagers, it is essential to characterize continuity of Himawari-8/AHI to Himawari-9/AHI observations, which can provide beneficial information to quantitative retrieval and satellite assimilation algorithm developer. In this research, cross-comparison are performed to Himawari-8/AHI and Himawari-9/AHI infrared (IR) observations, and 'observation minus background (O - B)' characters of two imagers under clear-sky condition over ocean are also compared. The results are as follows: 1) Himawari-8/AHI and Himawari-9/AHI IR observations are in good consistency with largest absolute bias less than 1.437 K and RMSE below 1.663 K. Biases and RMSEs for Himawari-8/AHI and Himawari-9/AHI channel 7 show obvious diurnal variation character and RMSEs for all channels have evident temporal cycle variation characteristics, with cycle time of about 10 days; 2) IR observations of Himawari-8/AHI are more closed to RTTOV simulations under clear-sky condition than those of Himawari-9/AHI, especially for channels 7, 9 and 16. Dependence of O - B biases and RMSEs for two imagers IR channels on satellite scan angles are almost identical.
引用
收藏
页码:121 / 142
页数:22
相关论文
共 50 条
  • [21] Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison
    Jiang, Tingting
    Chen, Bin
    Chan, Karen Kie Yan
    Xu, Bing
    REMOTE SENSING, 2019, 11 (09)
  • [22] Geolocation Accuracy Assessment of Himawari-8/AHI Imagery for Application to Terrestrial Monitoring
    Yamamoto, Yuhei
    Ichii, Kazuhito
    Higuchi, Atsushi
    Takenaka, Hideaki
    REMOTE SENSING, 2020, 12 (09)
  • [23] High-frequency observation of floating algae from AHI on Himawari-8
    Chen, Xinrong
    Shang, Shaoling
    Lee, Zhongping
    Qi, Lin
    Yan, Jing
    Li, Yonghong
    REMOTE SENSING OF ENVIRONMENT, 2019, 227 : 151 - 161
  • [24] A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation
    Ge, Bangyu
    Li, Zhengqiang
    Liu, Li
    Yang, Leiku
    Chen, Xingfeng
    Hou, Weizhen
    Zhang, Yang
    Li, Donghui
    Li, Li
    Qie, Lili
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (01): : 381 - 394
  • [25] A Neural Network Method for Ozone Retrieval Using Himawari-8/AHI Geo-Satellite Observations
    Chen, Xingfeng
    Yang, Yichu
    Xue, Wu
    Li, Jiaguo
    Yang, Banghui
    Li, Kaitao
    Wang, Lili
    Li, Lei
    Liu, Shumin
    de Leeuw, Gerrit
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63
  • [26] Dust Detection Over East Asia From Multispectral and Multi-Temporal Himawari-8/AHI Thermal Infrared Observations
    Shi, Jianjun
    Yang, Shizhi
    Cui, Shengcheng
    Luo, Tao
    Li, Xuebin
    Lu, Wenqiang
    Han, Lu
    EARTH AND SPACE SCIENCE, 2023, 10 (02)
  • [27] Comparison of Himawari-8 AHI SST with Shipboard Skin SST Measurements in the Australian Region
    Yang, Minglun
    Guan, Lei
    Beggs, Helen
    Morgan, Nicole
    Kurihara, Yukio
    Kachi, Misako
    REMOTE SENSING, 2020, 12 (08)
  • [28] AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products
    Lim, Hyunkwang
    Choi, Myungje
    Kim, Jhoon
    Kasai, Yasuko
    Chan, Pak Wai
    REMOTE SENSING, 2018, 10 (05)
  • [29] Evaluation of NDVI Estimation Considering Atmospheric and BRDF Correction through Himawari-8/AHI
    Noh-Hun Seong
    Daeseong Jung
    Jinsoo Kim
    Kyung-Soo Han
    Asia-Pacific Journal of Atmospheric Sciences, 2020, 56 : 265 - 274
  • [30] Himawari-8/AHI Aerosol Optical Depth Detection Based on Machine Learning Algorithm
    Chen, Yuanlin
    Fan, Meng
    Li, Mingyang
    Li, Zhongbin
    Tao, Jinhua
    Wang, Zhibao
    Chen, Liangfu
    REMOTE SENSING, 2022, 14 (13)