Hypothetical Cirrus Band Generation for Advanced Himawari Imager Sensor Using Data-to-Data Translation With Advanced Meteorological Imager Observations
Author:
Affiliation:
1. Department of Environment and Energy, Sejong University, Seoul, South Korea
2. National Institute of Environmental Research, Incheon, South Korea
3. Department of Environment, Energy, and Geoinformatics, Sejong University, Seoul, South Korea
Funder
National Institute of Environment Research
Ministry of Environment (MOE), Republic of Korea
Korea Meteorological Administration Research and Development Program
Developing Service Platform Technology for AI and Data Convergence
Development of AI techniques for Weather Forecasting
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/09964196.pdf?arnumber=9964196
Reference87 articles.
1. On the Temperature and Effective Emissivity Determination of Semi-Transparent Cirrus Clouds by Bi-Spectral Measurements in the 10μm Window Region
2. Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part III: High-Resolution Spectral Models from 100 to 3250 cm−1
3. A review of the light scattering properties of cirrus
4. Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part II: Narrowband Models
5. First results on a process-oriented rain area classification technique using Meteosat Second Generation SEVIRI nighttime data
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