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

Authors: Otsuka, Shigenori;

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

Abstract

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

{"references": ["Otsuka, S., 2022: Visualizing Lamb waves from a volcanic eruption using meteorological satellite Himawari-8. Geophys. Res. Lett., 49, e2022GL098324."]}

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Keywords

second time derivative, geostationary satellite, Lamb wave, water vapor channel

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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