five

Himawari-8 L1B

收藏
OpenDataLab2026-05-24 更新2024-05-25 收录
下载链接:
https://opendatalab.org.cn/OpenScienceLab/Himawari-8-L1B
下载链接
链接失效反馈
官方服务:
资源简介:
Himawari-8/9是日本新一代地球同步气象卫星,它携带最先进的光学传感器,其辐射、光谱和空间分辨率明显高于以前在地球同步轨道上可用的光学传感器。它们有16个观测波段,可见光和近红外波段的空间分辨率为0.5或1公里,红外波段的空间分辨率为2公里。这些优势与缩短的重新访问时间(全磁盘约10分钟,扇区约2.5分钟)相结合,为识别和跟踪快速变化的天气现象以及推导定量产品提供了新的能力水平。例如,从himawai -8的观测数据中提取基础云产品。在基础云产品的基础上,对晴空辐射和大气运动矢量进行数值天气预报处理,生成火山灰产品和风尘产品,用于灾害观测和环境监测。来自卫星的图像通过多种途径分发和传播给用户,包括互联网云服务和通信卫星服务。 葵花8静止轨道卫星L1级反射率数据、用于气象变量反演、同化等

Himawari-8 and Himawari-9 are Japan's next-generation geostationary meteorological satellites, fitted with state-of-the-art optical sensors. Their radiometric, spectral and spatial resolutions are notably higher than those of optical sensors previously deployed in geostationary orbit. They have 16 observation bands, with spatial resolutions of 0.5 km or 1 km for visible and near-infrared bands, and 2 km for infrared bands. Combined with the shortened revisit time (approximately 10 minutes for full disk, ~2.5 minutes for sectors), these advantages provide a new level of capability for identifying and tracking rapidly changing weather phenomena and deriving quantitative products. For example, basic cloud products are extracted from the observation data of Himawari-8. Based on these basic cloud products, numerical weather prediction processing is conducted on clear-sky radiation and atmospheric motion vectors to generate volcanic ash products and dust products for disaster observation and environmental monitoring. Images from these satellites are distributed and disseminated to users through multiple channels, including internet cloud services and communication satellite services. Level 1 reflectance data of Himawari-8 geostationary satellite, used for meteorological variable retrieval, data assimilation and other applications.
提供机构:
OpenScienceLab
创建时间:
2024-05-23
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
Himawari-8 L1B数据集是日本气象厅发布的葵花8号静止轨道卫星的L1级反射率数据,具有高时空分辨率(16个波段,空间分辨率0.5-2公里,重访时间约10分钟),主要用于气象变量反演、同化以及灾害监测和环境应用。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作