A5100423999- Atmospheric aerosols and clouds
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Meteorological Phenomena and Simulations
- Wind and Air Flow Studies
- Wind Energy Research and Development
- Energy Load and Power Forecasting
- Atmospheric and Environmental Gas Dynamics
- Plant tissue culture and regeneration
- Automated Road and Building Extraction
- Thermal Radiation and Cooling Technologies
- Precipitation Measurement and Analysis
- Arctic and Antarctic ice dynamics
- Solar Radiation and Photovoltaics
- Climate variability and models
- Urban Heat Island Mitigation
- Plant Virus Research Studies
- Aeolian processes and effects
- Flood Risk Assessment and Management
- Plant Genetic and Mutation Studies
- Geographic Information Systems Studies
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2005-2025
Wuhan University
2005-2025
Institute of Oceanographic Instrumentation
2022-2025
Shandong Academy of Sciences
2022-2025
Qilu University of Technology
2022-2025
Xi'an University of Technology
2025
Shandong Normal University
2021
Science Systems and Applications (United States)
2016
Abstract. Accurate estimation of the wind profile, especially in lowest few hundred meters atmosphere, is great significance for weather, climate, and renewable energy sector. Nevertheless, Monin–Obukhov similarity theory fails above surface layer over a heterogeneous underlying surface, causing an unreliable profile to be obtained from conventional extrapolation methods. To solve this problem, we propose novel method called PLM-RF that combines power-law (PLM) with random forest (RF)...
Abstract. Accurate estimation of wind speed at turbine hub height is significance for energy assessment and exploitation. Nevertheless, the traditional power law method (PLM) generally estimates hub-height by assuming a constant exponent between surface speed. This inevitably leads to significant uncertainties in estimating profile especially under unstable conditions. To minimize uncertainties, we here use machine learning algorithm known as random forest (RF) estimate heights such 120 m...
Abstract. Changes in aerosol loadings and properties are important for the understanding of atmospheric environment climate change. This study investigates characteristics long-term trends aerosols different sizes types Asia from 2000 to 2020 by considering multi-source data novel analysis methods perspectives, all which provides groundwork promoting acquisition new discoveries that past. The geometric mean aggregation method is applied, serial autocorrelation considered avoid overestimation...
Abstract Exploring various properties of aerosols can help to better understand global climate changes, emissions, and environment. In this study, a synergy observation experiment from sun photometer Lidar was carried out reveal aerosol optical direct radiative effect (DARE) in Central China the novel perspective components. Our results showed that annual mass concentration black carbon (BC) low (2.49 mg/m 2 ), but having large heating with DARE 9.27 W/m at top atmosphere. The brown found...
Abstract. Accurate measurement of atmospheric temperature profiles from the surface to stratosphere is crucial for understanding dynamics and climate processes. Traditional methods, such as use radiosondes, are limited in spatial temporal coverage. To address this challenge, a dual-field, integrated lidar system was developed based on principles pure rotational Raman scattering Rayleigh precisely detect temperatures both troposphere near 60 km altitude. The utilized 532 nm pulsed laser with...
A fast and accurate principal component-based radiative transfer model in the solar spectral region (PCRTM-SOLAR) has been developed. The algorithm is capable of simulating reflected spectra both clear sky cloudy atmospheric conditions. Multiple scattering beam by multilayer clouds aerosols are calculated using a discrete ordinate scheme. PCRTM-SOLAR can be trained to simulate top-of-atmosphere radiance or reflectance with resolution ranging from 1 cm-1 few nanometers. Broadband radiances...
High uncertainty in optical properties of black carbon (BC) involving heterogeneous chemistry has recently attracted increasing attention the field atmospheric climatology. To fill gap BC knowledge so as to estimate more accurate climate effects and serve response global warming, it is beneficial conduct site-level studies on light absorption enhancement (Eabs) characteristics. Real-time surface gas particulate pollutant observations during summer winter over Wuhan were utilized for analysis...
The planetary boundary layer height (PBLH) has a significant impact on the energy and material exchange in atmosphere. traditional gradient method (GM) determines PBLH based change of aerosol profile. It is susceptible to effect complex atmospheric conditions, which leads uncertainties estimation PBLH. Here, random forest (RF) algorithm that considers vertical distribution aerosols proposed find under conditions. three minimum local peaks range correction signal profile 7 other variables,...
A compact all-fiber pulsed coherent Doppler lidar (PCDL) for boundary layer wind measurement was developed by the Institute of Oceanographic Instrumentation, Qilu University Technology (Shandong Academy Sciences). It has been deployed at Zhongshan Station (69.4° S, 76.4° E) during 2020 austral summer season 36th Chinese National Antarctic Research Expedition (CHINARE) and started routine observation in January 2020. This system, based on 1550 nm components, employs a 100 mm telescope with...
Large amounts of aerosols remain in the residual layer (RL) after sunset, which may be source next day’s pollutants. However, characteristics nocturnal height (RLH) and its effect on urban environment pollution are unknown. In this study, RLH fine particles with diameters <2.5 μm (PM2.5) were investigated using lidar data from January 2017 to December 2019. The results show that is highest summer (1.55 ± 0.55 km), followed by spring (1.40 0.58 km) autumn (1.26 0.47 lowest winter (1.11...
Abstract. Radiosonde (RS) is widely used to detect the vertical structures of planetary boundary layer (PBL), and numerous methods have been proposed for retrieving PBL height (PBLH) from RS data. However, an algorithm that suitable under all atmospheric conditions does not exist. This study evaluates performance four common PBLH algorithms different thermodynamic stability based on data collected nine sites in January–December 2019. The are potential temperature gradient method (GMθ),...
Lidar is a reliable tool for active remote sensing detection of atmospheric aerosols. A multi-wavelength aerosol lidar (MWAL) with 355 nm, 532 and 1064 nm as light sources has been developed deployed operational observations at Haidian District Meteorological Service Beijing. The structure design, specifications, observation campaign, principle the MWAL are introduced. To ensure accuracy reliability data, calibration contents, methods proposed, including correction, gluing original...
Abstract. Changes of aerosol loadings and properties are importance to understand atmospheric environment climate change. This study investigates the characteristics long-term trends aerosols different sizes types in Asia from 2000 2020, by considering multi-source data, novel analysis method perspective, all this groundwork promote acquisition new discoveries that past. The geometric mean aggregation is applied, serial auto-correlation considered avoid overestimation trend significance....
The remote sensing classification is usually difficult to get a satisfied result because of the complicated relationships between surface objects and their spectral characteristics. Considering spatial dependences different objects, object information was introduced an object- orientation method proposed by authors. That could improve results characteristics were simultaneously considered. from that are not good enough, as most parameters criteria need be decided experience, which easy bring...
Abstract. Wind is one of the most essential clean and renewable energy sources in today’s world. To achieve goal carbon emission peak neutrality China, it necessary to evaluate wind resources on coast China. Nevertheless, traditional power law method (PLM) relies constant coefficient estimate high-altitude speed. The assumption may lead significant uncertainties assessment, given large dependence a variety factors. minimize uncertainties, we here use three machine learning (ML) algorithms...