Satellite all-sky infrared radiance assimilation: Recent progress and future perspectives
Satellite infrared (IR) sounder and imager measurements have become one of the main
sources of data used by data assimilation systems to generate initial conditions for …
sources of data used by data assimilation systems to generate initial conditions for …
Impact of high temporal resolution FY‐4A Geostationary Interferometric Infrared Sounder (GIIRS) radiance measurements on Typhoon forecasts: Maria (2018) case …
Abstract Targeted observations for Typhoon Maria (2018) using the Geostationary
Interferometric Infrared Sounder (GIIRS) at a temporal resolution of 15 min provide …
Interferometric Infrared Sounder (GIIRS) at a temporal resolution of 15 min provide …
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 …
Impacts of FY-4A AGRI radiance data assimilation on the forecast of the super typhoon “in-fa”(2021)
This study assessed the impact of assimilating the Fengyun-4A (FY-4A) Advanced
Geosynchronous Radiation Imager (AGRI) observations on the Super Typhoon “In-Fa” event …
Geosynchronous Radiation Imager (AGRI) observations on the Super Typhoon “In-Fa” event …
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 …
The evaluation of FY4A's Geostationary Interferometric Infrared Sounder (GIIRS) long‐wave temperature sounding channels using the GRAPES global 4D‐Var
The theory of classical variational assimilation assumes that biases are unbiased Gaussian.
This article investigates the bias characteristic estimate and the bias correction of …
This article investigates the bias characteristic estimate and the bias correction of …
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 …
Cloud classification by machine learning for geostationary radiation imager
B Guo, F Zhang, W Li, Z Zhao - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To enhance the accuracy of cloud classification, this study proposes cloud classification
models based on machine learning algorithms. The models take as input the observed …
models based on machine learning algorithms. The models take as input the observed …
Impact of assimilating Himawari‐8‐derived layered precipitable water with varying cumulus and microphysics parameterization schemes on the simulation of Typhoon …
Understanding moisture information ahead of tropical cyclone (TC) convection is very
important for predicting TC track, intensity, and precipitation. The advanced Himawari …
important for predicting TC track, intensity, and precipitation. The advanced Himawari …