Abstract. The use of remote sensing methods to accurately measure cloud properties and their spatiotemporal changes has been widely welcomed in many fields of atmospheric research. The Nanjing Joint Institute for Atmospheric Sciences (NJIAS) Himawari-8/9 Cloud Feature Dataset (HCFD) provides a comprehensive description of cloud features over the East Asia and west North Pacific regions for the 7-year period from April 2016 to December 2022. Multiple cloud variables, such as cloud mask, phase/type, top height, optical thickness, and particle effective radius, as well as snow, dust, and haze masks, were generated from the visible and infrared measurements of the Advanced Himawari Imager (AHI) on board the Japanese geostationary satellites Himawari-8 and Himawari-9 using a series of recently developed cloud retrieval algorithms. Verifications with the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) 1 km cloud layer product and the Moderate Resolution Imaging Spectroradiometer (MODIS) Level-2 cloud product (MYD06) demonstrate that the NJIAS HCFD gives higher skill scores than the Japanese Himawari-8/9 operational cloud product for all cloud variables except for cloud particle effective radius. The NJIAS HCFD even outperforms the MYD06 in nighttime cloud detection; cloud-top height, pressure, and temperature estimation; and infrared-only cloud-top phase determination. All evaluations are performed at the nominal 2 km scale, not including the effects of sub-pixel cloudiness or very thin cirrus. Two examples are presented to demonstrate applications of the NJIAS HCFD for climate and typhoon research. The NJIAS HCFD has been published in the Science Data Bank (https://doi.org/10.57760/sciencedb.09950, Zhuge 2023a; https://doi.org/10.57760/sciencedb.09953, Zhuge 2023b; https://doi.org/10.57760/sciencedb.09954, Zhuge 2023c; https://doi.org/10.57760/sciencedb.10158, Zhuge 2023d; https://doi.org/10.57760/sciencedb.09945, Zhuge 2023e).

中文翻译：

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用于气候和台风研究的 NJIAS Himawari-8/9 云特征数据集简介

摘要。利用遥感方法精确测量云特性及其时空变化，受到大气研究多个领域的广泛欢迎。南京大气科学联合研究所（NJIAS）Himawari-8/9云特征数据集（HCFD）提供了2016年4月至2022年12月7年期间东亚和西北太平洋地区云特征的全面描述。多个云变量，例如云罩、相位/类型、顶部高度、光学厚度和颗粒有效半径，以及雪、灰尘和雾霾罩，是根据高级 Himawari 成像仪 (AHI) 的可见光和红外测量生成的）在日本地球静止卫星 Himawari-8 和 Himawari-9 上使用一系列最近开发的云检索算法。正交偏振云气溶胶激光雷达（CALIOP）1公里云层产品和中分辨率成像光谱仪（MODIS）2级云产品（MYD06）的验证表明，NJIAS HCFD的技能得分高于日本Himawari-8 /9 除云粒子有效半径外所有云变量的可操作云乘积。 NJIAS HCFD 在夜间云检测方面甚至优于 MYD06；云顶高度、压力和温度估算；和仅红外云顶相位测定。所有评估均在标称 2 公里尺度上进行，不包括亚像素云量或非常薄的卷云的影响。两个例子展示了 NJIAS HCFD 在气候和台风研究中的应用。 NJIAS HCFD 已发表在科学数据库中（https://doi.org/10.57760/sciencedb.09950, Zhuge 2023a; https://doi.org/10.57760/sciencedb.09953, Zhuge 2023b; https:// doi.org/10.57760/sciencedb.09954，诸葛2023c；https://doi.org/10.57760/sciencedb.10158，诸葛2023d；https://doi.org/10.57760/sciencedb.09945，诸葛2023e）。