- Atmospheric aerosols and clouds
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Atmospheric and Environmental Gas Dynamics
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Cryospheric studies and observations
- Calibration and Measurement Techniques
- Soil Moisture and Remote Sensing
- Air Quality and Health Impacts
- Spectroscopy and Laser Applications
- Climate variability and models
- Solar Radiation and Photovoltaics
- Aeolian processes and effects
- Geophysics and Gravity Measurements
- Methane Hydrates and Related Phenomena
- Indoor Air Quality and Microbial Exposure
- GNSS positioning and interference
- Urban Heat Island Mitigation
- Marine and coastal ecosystems
- Ionosphere and magnetosphere dynamics
- Infrared Target Detection Methodologies
- Radio Wave Propagation Studies
- Optical and Acousto-Optic Technologies
- Radar Systems and Signal Processing
Chinese Academy of Sciences
2014-2025
Institute of Atmospheric Physics
2014-2025
University of Chinese Academy of Sciences
2018-2025
Beihang University
2024
Chengdu University of Information Technology
2019-2022
Institute of Remote Sensing and Digital Earth
2015
University at Albany, State University of New York
2003-2005
The Advanced Geosynchronous Radiation Imager (AGRI) is a mission-critical instrument for the Fengyun series of satellites. AGRI acquires full-disk images every 15 min and views East Asia 5 through 14 spectral bands, enabling detection highly variable aerosol optical depth (AOD). Quantitative retrieval AOD has hitherto been challenging, especially over land. In this study, an algorithm proposed that combines deep learning transfer learning. uses core concepts from both Dark Target (DT) Deep...
A method is developed for accurate retrieval of thin cloud optical depth from measurements a multifilter rotating shadowband radiometer (MFRSR). key feature this technique correction strong forward scattering solar radiation into the instrument's field view, which causes underestimation retrieved depth. To develop method, MFRSR under various atmospheric conditions are simulated by using modified DISORT code that can accurately compute radiative intensity clouds. These simulations used to...
Clouds and their shadows can be clearly identified from high-spatial-resolution satellite images, such as those provided by Landsat-8/9 with a spatial resolution of approximately 30 m Sentinel-2 around 20 m. Consequently, the difference between measurements over cloud-shadowed nearby illuminated pixels used to derive aerosol optical depth (AOD), even in absence detailed surface properties. Based on this assumption, an algorithm for AOD retrieval land is developed tested using images...
Nowcasting is a critical technology for disaster prevention and mitigation, the accuracy of radar echo extrapolation directly impacts forecasting performance. In most deep learning-based models, accurately predicting heavy precipitation remains challenging task. Focusing on region China, this study proposes an improved model based residual attention mechanisms—RA-UNet—for nowcasting with lead time 3 h. The introduces neural network (ResNet) convolutional block module (CBAM) to integrate...
Abstract. The Qinghai-Tibetan Plateau (QTP) is a key system that impacts the global carbon balance, but greenhouse gases (GHGs) mole fraction measurements in this region are limited due to tough environment. Supported by Second Tibetan Scientific Expedition Program, we carried out an integrated GHG measurement campaign May 2022 as part of Earth Summit Mission-2022 at Qomolangma station for atmospheric and environmental observation research (QOMS; 28.362° N, 86.949° E, 4276 m a.s.l.). In...
Abstract. Understanding the vertical profile of greenhouse gases (GHGs) is crucial for elucidating their sources and sinks, transport pathways, influence on Earth's radiative balance, as well enhancing predictive capabilities climate change. Remote sensing methods measuring GHG profiles often involve substantial uncertainties, while in situ measurements are limited by high equipment costs operational expenses, rendering them impractical long-term continuous observation efforts. In this...
Cloud optical properties inferred from a multifilter rotating shadowband radiometer have been validated against in situ measurements during the second ARM Enhanced Shortwave Experiment (ARESE II) field campaign at South Great Plains (SGP) site. On basis of eight aircraft vertical profiles (constructed measurements), Forward Spectra Scattering Probe (FSSP), we find that our retrieved cloud effective radii for single‐layer warm water clouds agree well with measurements, within 5.5%. A...
A fast radiative transfer model has been developed for simulating high‐resolution absorption bands. The first scattering radiance is calculated accurately by using the higher number of layers and streams all required wave grids. multiple‐scattering component extrapolated and/or interpolated from a finite set calculations in space two integrated gaseous optical depths to grids: double‐ k approach. approach substantially reduces error due uncorrelated nature overlapped lines. More importantly,...
A method for estimating fractional sky cover from spectral measurements has been developed. The characteristics of clouds and clear‐sky aerosols are utilized to partition fraction. As illustrated in our sensitivity study demonstrated real measurements, the transmittance ratio at selected wavelengths is insensitive solar zenith angle major atmospheric gaseous absorption. With a localized baseline procedure, retrievals this independent absolute calibration weakly sensitive changes cloud...
Most of human exposure to atmospheric pollutants occurs indoors, and the components outdoor aerosols may have been changed in way before reaching indoor spaces. Here we conducted real-time online measurements mass concentrations chemical composition black carbon non-refractory species PM2.5 an occupied office for approximately one month. The open-close windows controlled dampness experiments were also performed. Our results show that aerosol primarily originate from outdoors with...
Surface particulate matter with an aerodynamic diameter of <2.5 μm (PM2.5) and column-integrated aerosol optical depth (AOD) exhibits substantial diurnal, daily, yearly variabilities that are regionally dependent. The diversity these temporal in urban rural areas may imply the inherent mechanisms. A novel time-series analysis tool developed by Facebook, Prophet, is used to investigate holiday, seasonal, inter-annual patterns PM2.5 AOD at a station (RU) (UR) Beijing. shows coherent...
Abstract. Understanding the vertical profile of greenhouse gases (GHGs) is crucial for elucidating their sources and sinks, transport pathways, influence on Earth’s radiative balance, as well enhancing predictive capabilities climate change. Remote sensing methods measuring GHG profiles often involve substantial uncertainties, while in-situ measurements are limited by high equipment costs operational expenses, rendering them impractical long-term continuous observation efforts. In this...
Abstract. Various studies indicate that high-resolution oxygen A-band spectrum has the capability to retrieve vertical profiles of aerosol and cloud properties. To improve understanding inversions utility, we developed a spectrometer (HABS), deployed it at Howard University Beltsville site during NASA Discover Air-Quality Field Campaign in July, 2011. By using single telescope, HABS instrument measures direct solar zenith diffuse radiation subsequently. exhibits excellent performance: stable...
Abstract. Several satellites have been launched to monitor the increasing concentrations of greenhouse gases, especially CO2 and CH4 in atmosphere, through backscattered hyperspectral radiance shortwave infrared (SWIR) band. The vertical profiles gases aerosols could strongly affect results from these instruments. To investigate effects distribution on uncertainty SWIR satellite retrieval results, we conducted observations CO2, aerosol particles at 0.6–7 km above sea level using a Beechcraft...