A5030336185- Meteorological Phenomena and Simulations
- Climate variability and models
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
- Calibration and Measurement Techniques
- Atmospheric Ozone and Climate
- Tropical and Extratropical Cyclones Research
- Precipitation Measurement and Analysis
- Ocean Waves and Remote Sensing
- Advanced Image and Video Retrieval Techniques
- Urban Heat Island Mitigation
- Image Retrieval and Classification Techniques
- Geophysics and Gravity Measurements
- Soil Moisture and Remote Sensing
- Bayesian Methods and Mixture Models
- Atmospheric chemistry and aerosols
- Infrared Target Detection Methodologies
- Stock Market Forecasting Methods
- Advanced Image Fusion Techniques
- Oceanographic and Atmospheric Processes
- Ionosphere and magnetosphere dynamics
- Advanced Neural Network Applications
- Electrochemical sensors and biosensors
- Image and Object Detection Techniques
- Remote-Sensing Image Classification
Cooperative Institute for Climate and Satellites
2016-2025
University of Wisconsin–Madison
2016-2025
Jilin University
2025
Wuhan Textile University
2025
University of Hong Kong
2022-2025
Quzhou University
2024
Zhejiang University
2024
Taiyuan University of Technology
2023
Guangzhou University of Chinese Medicine
2022
The University of Queensland
2021
Abstract Four‐dimensional (4D) wind fields were derived from radiance measurements of the Geosynchronous Interferometric Infrared Sounder (GIIRS) onboard FengYun‐4A satellite with 15‐min temporal resolution during Typhoon Maria (2018). Results are evaluated independent ERA5 reanalysis, Global Data Assimilation System (GDAS) analysis and dropsonde profiles, show a statistical root mean squared error less than 2 m/s for U V components in troposphere against GDAS. The variation GIIRS at...
Abstract Weather satellites not only provide atmospheric thermodynamic and hydrometric information, but also important dynamic information when high temporal data are used. Atmospheric motion vectors (AMVs) have been routinely derived from global geostationary satellite imagers over tropical mid-latitude regions, polar orbiting high-latitude regions since the 1990s widely used in numerical weather prediction (NWP). These AMVs result tracking clouds moisture primarily infrared visible bands....
Abstract A fast physically based dual-regression (DR) method is developed to produce, in real time, accurate profile and surface- cloud-property retrievals from satellite ultraspectral radiances observed for both clear- cloudy-sky conditions. The DR relies on using empirical orthogonal function (EOF) regression “clear trained” “cloud of surface skin temperature, surface-emissivity EOF coefficients, carbon dioxide concentration, cloud-top altitude, effective cloud optical depth, atmospheric...
Interactive graph cuts are widely used in object segmentation but with some disadvantages: 1) Manual interactions may cause inaccurate or even incorrect results and involve more especially for novices. 2) In situations, the manual infeasible. To overcome these disadvantages, we propose a novel approach, namely Saliency cuts, to segment from background automatically. By exploring effects of labels so called ldquoprofessional labelsrdquo is introduced evaluate labels. With aid saliency...
Abstract With high spatio‐temporal resolution geostationary hyperspectral infrared sounder (GeoHIS) observations, monitoring, and predicting rapidly changing weather events are expected to be improved with continuous information of 3D cube. However, due the nature radiation, clouds prevent an adequate retrieval atmospheric thermodynamic under clear‐sky conditions large uncertainties in current radiative transfer model. Removing cloud effects from GeoHIS sub‐footprint is alternative approach...
Abstract Hyperspectral infrared (IR) sounders provide high vertical resolution atmospheric sounding information that can improve the forecast skill in numerical weather prediction. Commonly, only clear radiances are assimilated, because IR sounder observations highly affected by clouds. A cloud‐clearing (CC) technique, which removes cloud effects from an cloudy field of view (FOV) and derives cloud‐cleared (CCRs) or clear‐sky equivalent radiances, be alternative yet effective way to take...
Abstract Generally, only clear‐infrared spectral radiances (not affected by clouds) are assimilated in weather analysis systems. This is due to difficulties modeling cloudy as well observing their vertical structure from space. To take full advantage of the thermodynamic information advanced infrared (IR) sounder observations requires assimilating cloud‐contaminated regions. An optimal imager/sounder cloud‐clearing technique has been developed Cooperative Institute for Meteorological...
The Atmospheric motion vectors (AMVs) represent horizontal wind derived by tracking the cloud or water vapor features on successive satellite images. launch of Geostationary Operational Environmental Satellite-R Series (GOES-R), including GOES-16 (GOES-East) and GOES-17 (GOES-West), significantly enhanced data volume geographic coverage over contiguous U.S. adjacent oceans. AMVs from GOES-16/17 products can augment in data-sparse areas like oceanic atmospheric rivers (ARs). However, exhibit...
The Proto-Tethys Ocean existed between Gondwana and Laurussia during the late Neoproterozoic to Early Paleozoic. As part of northern margin East Gondwana, Lhasa terrane records subduction-related processes Ocean. This study analyzes mylonitized granites from Guomang-Co area in central terrane, focusing on their major trace elements, U-Pb age values, Sr-Nd-Pb-Hf isotopes. Geochemical isotopic data consistently indicate S-type affinity derived Paleoproterozoic metasedimentary sources, likely...
Abstract Accurate satellite‐based retrieval of boundary‐layer water vapor over land is crucial for understanding the Earth‐atmosphere system but remains challenging due to interaction surface parameters on low‐level atmosphere‐sensitive channels. This study proposes a novel approach explicitly extract upwelling atmospheric radiance () from total observed by Infrared Atmospheric Sounding Interferometer (IASI), using Residual Multi‐Layer Perceptron model. A modified one‐dimensional variational...
Abstract High temporal and spatial resolution atmospheric thermodynamic dynamic profiles retrieved from the Fengyun‐4A/Geostationary Interferometric Infrared Sounder (FY‐4A/GIIRS) provide crucial information for monitoring predicting rapid evolution of tropical cyclones. This study investigates impact assimilating temperature wind GIIRS on typhoon forecasts. The results demonstrate that improves both model analysis field track increments profile assimilation alone are larger than those near...
Microalgae biomass is regarded as a potential feedstock for valuable compounds such pigments, lipids and proteins. However, development of single molecule extraction processes the most common practice. A green multiproduct approach needed economically sustainable process microalgal industry. Therefore, this study aims to investigate sequential lutein lipid from dry wet Chlorella pyrenoidosa pretreated with choline chloride-based deep eutectic solvent (DES) under biorefinery scheme. In...
Infrared (IR) land surface emissivity (LSE) with a high temporal and spatial resolution is very important for deriving other products using IR radiance measurements as well assimilating radiances in numerical weather prediction (NWP) models over land. Retrieved from various satellite instruments, many LSE databases are available operational research use. Most updated only monthly; assuming does not change within the month. However, laboratory have shown that increases by 1.7% to 16% when...
Abstract Accurate cloud detection is very important for infrared (IR) radiance assimilation; improved could reduce contamination and hence improve the assimilation. Although operational numerical weather prediction (NWP) centers are using IR sounder data detection, collocated high spatial resolution imager help subpixel characterization. radiances with Atmospheric Infrared Sounder (AIRS)/Moderate Resolution Imaging Spectroradiometer (MODIS) were assimilated Hurricane Sandy (2012). Forecast...
Accurate and prior identification of local severe storm systems in pre-convection environments using geostationary satellite imagery measurements is a challenging task. Methodologies for “convective initiation” have already been developed explored operational nowcasting applications; however, warning such convective the new generation still not well studied. In this investigation, Random Forest (RF) machine learning algorithm used to develop predictive statistical model tracking identifying...