A5110753709- Atmospheric aerosols and clouds
- Atmospheric Ozone and Climate
- Atmospheric chemistry and aerosols
- Calibration and Measurement Techniques
- Remote Sensing in Agriculture
- Advanced Fiber Laser Technologies
- Solid State Laser Technologies
- Atmospheric and Environmental Gas Dynamics
- Laser-Matter Interactions and Applications
- Remote-Sensing Image Classification
- Astro and Planetary Science
- Remote Sensing and Land Use
- Air Quality Monitoring and Forecasting
- Photorefractive and Nonlinear Optics
- Air Quality and Health Impacts
- Photonic Crystal and Fiber Optics
- Meteorological Phenomena and Simulations
- Urban Heat Island Mitigation
- Integrated Energy Systems Optimization
- Ionosphere and magnetosphere dynamics
- Advanced Algorithms and Applications
- Satellite Image Processing and Photogrammetry
- Isotope Analysis in Ecology
- Face and Expression Recognition
- Neural Networks and Applications
Chinese Academy of Sciences
2016-2025
Aerospace Information Research Institute
2020-2025
Smithsonian Astrophysical Observatory
2025
Central South University
2025
Second Xiangya Hospital of Central South University
2025
Center for Astrophysics Harvard & Smithsonian
2025
China Huadian Corporation (China)
2024
State Key Laboratory of Remote Sensing Science
2010-2024
Chinese People's Liberation Army
2024
Weihai Science and Technology Bureau
2024
Polarimetry is one of the most promising types remote sensing for improved characterization atmospheric aerosol. Indeed, aerosol particles constitute a highly variable component characterized by large number parameters describing particle sizes, morphologies (including shape and internal structure), absorption scattering properties, amounts, horizontal vertical distribution, etc. Reliable monitoring all these very challenging, therefore effects on climate environment are considered to be...
As the successors of overdue HuanjingJianzai-1 (HJ-1) satellites and new members in Chinese Environmental Protection Disaster Monitoring Satellite Constellation, first two HuanjingJianZai-2 series (HJ-2 A/B) have been launched on September 27, 2020. Each satellite carries four sensors, including Polarized Scanning Atmospheric Corrector (PSAC), charge-coupled device (CCD) camera, hyperspectral imager (HSI) infrared spectroradiometer (IRS). Among them, PSAC is mainly used for monitoring...
Himawari-8 (H8), as a geostationary satellite, observing the full disk image of earth per 10 min, is very powerful tool to investigate atmospheric aerosol temporal variations. The advanced himawari imager (AHI) onboard H8 has several spectral bands similar with those Moderate Resolution Imaging Spectroradiometer (MODIS). Aerosol optical depth (AOD) thus possible be retrieved from AHI data using dark target (DT) method MODIS. Based on statistics study infrared these two satellite instruments,...
Abstract While polarimetric measurements contain valuable information regarding aerosol microphysical properties, polarization data in the near‐infrared (NIR) bands have not been widely utilized. This paper evaluates whether property contents from single‐viewing satellite at 1,610 and 2,250 nm can be used to improve retrieval of parameters over vegetated land, combination with shorter‐wavelength (490, 670, 870 nm). The a priori errors for analysis are derived by assuming that surface...
Support vector machine (SVM), as a novel and powerful learning tool, can be used for the prediction of PM10 PM2.5 (particulate matter less or equal than 10 2.5 micrometer) in atmosphere. This paper describes development successive over relaxation support regress (SOR-SVR) model prediction, based on daily average aerosol optical depth (AOD) meteorological parameters (atmospheric pressure, relative humidity, air temperature, wind speed), which were all measured Beijing during year 2010–2012....
The fine-mode fraction (FMF) of aerosol optical depth (AOD) is a key parameter that represents the proportion fine particles relative to total aerosols in atmosphere. However, comparison ground-based measurements, FMF still difficult retrieve from satellite observations, as attempted by Moderate-resolution Imaging Spectroradiometer (MODIS) algorithm. In this paper, we introduce retrieval based on Polarization and Anisotropy Reflectances for Atmospheric Science coupled with Observations Lidar...
The optimal scheduling of multi-energy hub systems plays an important role in the safety, stability, and economic operation system. However, due to strong uncertainty renewable energy access, serious coupling, interaction among hubs systems, it is difficult for traditional method solve these problems. Therefore, game theory was used problem systems. According internal connection mode conversion relationship hubs, along with competitive cooperative between theoretic model system established....
Abstract This Algorithm Theoretical Basis Document (ATBD) describes the retrieval algorithm and sensitivities of Version 3 cloud product derived from spectra collected by Tropospheric Emissions: Monitoring POllution (TEMPO) instrument. The is primarily produced for supporting retrievals TEMPO trace gases that are important understanding atmospheric chemistry monitoring air pollution. adapted NASA's Ozone Instrument (OMI) oxygen collision complex (O 2 ‐O ) algorithm. generates effective...
We present the status of Level 0-1 processor for Tropospheric Emissions: Monitoring Pollution (TEMPO), with a primary focus on radiometric calibration. Multiple version updates have significantly improved TEMPO 1 products, enhancing quality 2 products and enabling detection city lights, nightglow, aurora signals during twilight hours. However, assessments data (versions to 3) indicated overestimations Sun-normalized radiances when compared radiative transfer calculations. To investigate...
We present a status overview of the TEMPO mission including its operation, validation and baseline data products upcoming algorithm improvements, implementation Near-Real-Time (NRT) other products.TEMPO is NASA’s first Earth Venture Instrument (EVI) selected in 2012, North America component geostationary air quality constellation along with GEMS (launched Feb. 2020) over Asia Sentinel-4 (to launch 2025) Europe. It spaceborne instrument providing revolutionary hourly daytime...
We present the status of Tropospheric Emissions: Monitoring Pollution (TEMPO) nitrogen dioxide (NO2) and formaldehyde (HCHO) retrievals one year after their public release. After multiple version updates, TEMPO Level 2 NO2 HCHO products have undergone significant enhancements to improve performance accuracy slant column retrievals, air mass factor calculations post-processing corrections. Upcoming 4 will include improved destriping for background illustrate both evaluating fitting...
In satellite remote sensing, mixed pixels commonly arise in medium- and low-resolution imagery, where surface reflectance is a combination of various land cover types. The widely adopted linear mixing model enables the decomposition into constituent endmembers, effectively bridging spectral resolution gaps by retrieving properties individual This study introduces method to enhance multispectral data reconstructing additional information, particularly visible range, using TROPOMI BRDF product...
Abstract. The aerosol fine-mode fraction (FMF) is an important optical parameter of aerosols, and the FMF difficult to accurately retrieve by traditional satellite remote sensing methods. In this study, retrieval was carried out based on multiangle polarization data Polarization Anisotropy Reflectances for Atmospheric Science coupled with Observations from Lidar (PARASOL), which overcame shortcomings algorithm in our previous research. research, China compared AErosol RObotic NETwork...