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Composite geostationary weather satellite images (second time derivative of water vapor channel) for visualizing Lamb waves

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NIAID Data Ecosystem2026-03-14 收录
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https://zenodo.org/record/6592058
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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
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