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

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