The impact of cloudiness on the assimilation of thermodynamic information from satellite-based atmospheric sounder measurements on tropical cyclone prediction

Combining FY‐4B Infrared Window Channel's Cloud Analysis With Water Vapor Radiance Assimilation for the Prediction of Solar Irradiance

In the context of the energy crisis and dual‐carbon strategy, solar energy emerges as a highly viable resource. Appropriate cloud initialization is crucial for accurate solar irradiance forecasting. The water vapor channels and infrared window channels of Fengyun‐4B Advanced Geostationary Radiation Imager (FY‐4B AGRI)...

Tropospheric temperature and humidity profile retrieval from Meteosat Flexible Combined Imager based on deep learning

The Meteosat Third Generation (MTG) Flexible Combined Imager (FCI) offers new opportunities for tropospheric temperature and humidity profiling, at higher spatio-temporal resolutions and expanded spectral coverage relative to its predecessor. Vertically resolved retrievals from broadband imagers are inherently challeng...

A Machine Learning Framework for Retrieving Atmospheric Composition and the Associated Averaging Kernels From a Geostationary Hyperspectral Infrared Sounder

Geostationary hyperspectral infrared sounders provide hourly observations of the atmospheric composition. However, the conventional optimal estimation method (OEM)‐based retrieval algorithm requires computationally expensive radiative transfer calculations and inverse modeling, making it difficult to monitor in rea...

Satellite-based constraints on temperature-dependent aerosol–cloud feedback over a clean boreal forest and a rural continental site

Assimilation of FY-3G Precipitation Data Using a Machine Learning-Based Observation Operator in the CMA-MESO Regional Model

It is demonstrated that the machine learning-based observation operator exhibits potential in precipitation data assimilation, offering a viable pathway to enhance NWP.

Influence of frozen hydrometeor–radiation interactions on moisture biases in CMIP6 models over the tropical and subtropical pacific

Using satellite observations from Atmospheric Infrared Sounder (AIRS) and Global Navigation Satellite System (GNSS) Radio Occultation (RO), this study evaluates air-specific humidity (QA) biases in CMIP6 models and Community Earth System Model version 2 (CESM2) sensitivity experiments with and without falling-ice radia...