Composite geostationary weather satellite images (second time derivative of water vapor channel) for visualizing Lamb waves
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://zenodo.org/record/6592058
下载链接
链接失效反馈官方服务:
资源简介:
Second time derivative of water vapor channel (6.2 micrometer) brightness temperature from geostationary weather satellites (Units: K s-2)
Himawari-8 (original data obtained from NICT Science Cloud)
GOES-16/17 (original data obtained from Amazon AWS)
Meteosat-8/9/10/11 (original data obtained from EUMETSAT)
Time interval of the files: 5 minutes
Time interval of each satellite, dt for time derivative:
Himaawri-8, GOES-16/17: 10 minutes, 10 minutes
Meteosat-8/9/11: 15 minutes, 15 minutes
Meteosat-10: 5 minutes, 10 minutes
Each file contains the latest images from those satellites at that time. The time stamp for each satellite represents the beginning of each full-disk scan.
Bias correction:
Himawari-8: bias removal for each swath
GOES-16/17, Meteosat-11: bias removal for each east-west line
Meteosat-8/9/10: bias removal for each east-west line (note: satellite attitude was not stable)
Smoothing:
Band-pass filter for each full-disk image separately: 2-40 degrees on lat-lon coordinate
Stronger smoothing at latitudes higher than 60 degrees north/south
Down-sampling:
Full-disk images were mapped to a 0.04-degree lat-lon coordinate.
Then, composite images were produced at the 0.2-degree resolution.
Version 2:
Improved interpolation algorithm
Himawari-8: improved geolocation
Meteosat-8/9: improved treatment of noise near the edge of full disk images
创建时间:
2022-09-13



