Retrieval of cloud top properties from advanced geostationary satellite imager measurements based on machine learning algorithms
The cloud-top height (CTH) product derived from passive satellite instrument measurements
is often used to make climate data records (CDR). CALIPSO (Cloud-Aerosol Lidar and …
is often used to make climate data records (CDR). CALIPSO (Cloud-Aerosol Lidar and …
Added-value of GEO-hyperspectral infrared radiances for local severe storm forecasts using the hybrid OSSE method
High spectral resolution (or hyperspectral) infrared (IR) sounders onboard low earth orbiting
satellites provide high vertical resolution atmospheric information for numerical weather …
satellites provide high vertical resolution atmospheric information for numerical weather …
Intercomparisons of cloud mask products among Fengyun-4A, Himawari-8, and MODIS
In this paper, we developed a unified and operational cloud mask algorithm for the new-
generation geostationary (GEO) meteorological satellite imagers of the Advanced …
generation geostationary (GEO) meteorological satellite imagers of the Advanced …
Enhancing the fast radiative transfer model for FengYun‐4 GIIRS by using local training profiles
With the successful launch of FengYun‐4A (FY‐4A), the first satellite in a new Chinese
geostationary weather satellite series (FY‐4 series), which carries a high spectral resolution …
geostationary weather satellite series (FY‐4 series), which carries a high spectral resolution …
Value-added impact of geostationary hyperspectral infrared sounders on local severe storm forecasts—Via a quick regional OSSE
Accurate atmospheric temperature and moisture information with high temporal/spatial
resolutions are two of the key parameters needed in regional numerical weather prediction …
resolutions are two of the key parameters needed in regional numerical weather prediction …
Comparison of cloud‐top property retrievals from Advanced Himawari Imager, MODIS, CloudSat/CPR, CALIPSO/CALIOP, and radiosonde
CY Liu, CH Chiu, PH Lin, M Min - Journal of Geophysical …, 2020 - Wiley Online Library
The information on cloud properties and microphysical characteristics is critical for
environmental research and application, such as that on weather, climate, hydrology, and …
environmental research and application, such as that on weather, climate, hydrology, and …
A multi-domain compression radiative transfer model for the Fengyun-4 Geosynchronous Interferometric Infrared Sounder (GIIRS)
Forward radiative transfer (RT) models are essential for atmospheric applications such as
remote sensing and weather and climate models, where computational efficiency becomes …
remote sensing and weather and climate models, where computational efficiency becomes …
[HTML][HTML] Applications of geostationary hyperspectral infrared sounder observations: Progress, challenges, and future perspectives
Bessho, K., H. Owada, K. Okamoto, and T. Fujita, 2021: Himawari-8/9 follow-on satellite
program and impacts of potential usage of hyperspectral IR sounder. IEEE Int. Geoscience …
program and impacts of potential usage of hyperspectral IR sounder. IEEE Int. Geoscience …
Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network
Atmospheric correction is an essential step in hyperspectral imaging and target detection
from spectrometer remote sensing data. State-of-the-art atmospheric correction approaches …
from spectrometer remote sensing data. State-of-the-art atmospheric correction approaches …
[HTML][HTML] An effective atmospheric correction method for the wide swath of Chinese GF-1 and GF-6 WFV images on lands
Accurate land surface reflectance plays an important role in the accurate inversion of surface
parameters, and atmospheric correction plays a decisive role in obtaining accurate …
parameters, and atmospheric correction plays a decisive role in obtaining accurate …