TY - JOUR
T1 - A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band
AU - Eguchi, Nawo
AU - Yoshida, Yukio
N1 - Publisher Copyright:
© Author(s) 2019.
PY - 2019/1/18
Y1 - 2019/1/18
N2 - A detection method for high-level clouds, such as ice clouds, is developed using the water vapor saturated channels of the solar reflected spectrum observed by the Greenhouse gases Observing SATellite (GOSAT) Thermal And Near-infrared Sensor for carbon Observation Fourier Transform Spectrometer (TANSO-FTS). The clouds detected by this method are optically relatively thin (0.01 or less) and located at high altitude. Approximately 85 % of the results from this method for clouds with cloud-top altitude above 5 km agree with the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) cloud classification. GOSAT has been operating since April 2009 with a 3-day repeat cycle for a pointwise geolocation pattern, providing a spectral data record that exceeds 9 years. Cloud information derived from GOSAT TANSO-FTS spectra could be powerful data for understanding the variability in cirrus cloud on temporal scales from synoptic to interannual.
AB - A detection method for high-level clouds, such as ice clouds, is developed using the water vapor saturated channels of the solar reflected spectrum observed by the Greenhouse gases Observing SATellite (GOSAT) Thermal And Near-infrared Sensor for carbon Observation Fourier Transform Spectrometer (TANSO-FTS). The clouds detected by this method are optically relatively thin (0.01 or less) and located at high altitude. Approximately 85 % of the results from this method for clouds with cloud-top altitude above 5 km agree with the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) cloud classification. GOSAT has been operating since April 2009 with a 3-day repeat cycle for a pointwise geolocation pattern, providing a spectral data record that exceeds 9 years. Cloud information derived from GOSAT TANSO-FTS spectra could be powerful data for understanding the variability in cirrus cloud on temporal scales from synoptic to interannual.
UR - http://www.scopus.com/inward/record.url?scp=85060396260&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060396260&partnerID=8YFLogxK
U2 - 10.5194/amt-12-389-2019
DO - 10.5194/amt-12-389-2019
M3 - Article
AN - SCOPUS:85060396260
SN - 1867-1381
VL - 12
SP - 389
EP - 403
JO - Atmospheric Measurement Techniques
JF - Atmospheric Measurement Techniques
IS - 1
ER -