A5026221305- Meteorological Phenomena and Simulations
- Atmospheric aerosols and clouds
- Climate variability and models
- Atmospheric chemistry and aerosols
- Ionosphere and magnetosphere dynamics
- Phytochemistry and biological activity of medicinal plants
- Phytoplasmas and Hemiptera pathogens
- Domain Adaptation and Few-Shot Learning
- Video Surveillance and Tracking Methods
- Microbial Community Ecology and Physiology
- Atmospheric Ozone and Climate
- Fire Detection and Safety Systems
- Cocoa and Sweet Potato Agronomy
- Epigenetics and DNA Methylation
- Insect-Plant Interactions and Control
- Advanced Graph Neural Networks
- Tropical and Extratropical Cyclones Research
- Atmospheric and Environmental Gas Dynamics
- Genetic Syndromes and Imprinting
- Water Quality Monitoring Technologies
- Parathyroid Disorders and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Air Quality Monitoring and Forecasting
- Advanced Neural Network Applications
- Lipid metabolism and disorders
Huazhong Agricultural University
2019-2024
Gannan Normal University
2019
Institute of Subtropical Agriculture
2019
Abstract. The planetary boundary layer (PBL) governs the vertical transport of mass, momentum, and moisture between surface free atmosphere, thus determination PBL height (BLH) is recognized as crucial for air quality, weather, climate analysis. Although reanalysis products can provide important insight into global view BLH in a seamless way, observed situ on scale remains poorly understood due to lack high-resolution (1 or 2 s) radiosonde measurements. present study attempts establish...
Abstract. The planetary boundary layer (PBL) is the lowermost part of troposphere that governs exchange momentum, mass and heat between surface atmosphere. To date, radiosonde measurements have been extensively used to estimate PBL height (PBLH); suffering from low spatial coverage temporal resolution, data are incapable providing a diurnal description PBLH across globe. fill this gap, paper aims produce temporally continuous dataset during course day over global land by applying machine...
Abstract The planetary boundary layer is crucial for the turbulence mixing and exchange of heat flux, momentum, atmospheric pollutants between atmosphere Earth's surface. Nevertheless, estimated height (BLH) varies greatly by data sources algorithms. This paper seeks to characterize convective BLHs from 1‐s radiosonde measurements China Radiosonde Network (CRN) 2012–2020 period at 1400 Beijing time, using eight well‐known algorithms, wherein newly established Thorpe method theoretically...
Abstract Lower atmospheric gravity waves (GWs) can significantly impact in the middle and upper atmospheres are vital for turbulence generation. This paper puts spotlight on spatial–temporal variability of tropospheric GW total energy ( E T ) its potential sources above four regions interest (ROIs) gathered from high‐resolution radiosonde observations China Radiosonde Network during years 2016–2019. The seasonality ROIs shows different characteristics is dependent latitudes underlying...
Abstract. The planetary boundary layer (PBL) is the lowermost part of troposphere that governs exchange momentum, mass and heat between surface atmosphere. To date radiosonde measurements have been extensively used to estimate PBLH; suffering from low spatial coverage temporal resolution, data incapable providing diurnal description PBLH across globe. fill this gap, paper aims produce a temporally continuous dataset during course day over global land by applying machine learning algorithms...
Abstract Differentiating local‐scale precipitation (LP) and nonlocal‐scale (NLP) understanding their corresponding prestorm environment are of importance for accurate severe weather analysis forecasting. However, the difference in transient environments LP NLP is largely undetermined, thereby fundamentally limiting predictability convective storms. The present study focuses on precursor signals differences from those based explicit observational analyses using high‐resolution radiosonde...
Abstract. Kelvin–Helmholtz instability (KHI) is most likely to be the primary source for clear-air turbulence, which of importance in pollution transfer and diffusion aircraft safety. It indicated by critical value dimensionless Richardson (Ri) number, predicted 1/4 from linear stability analysis. However, Ri fairly sensitive vertical resolution dataset; a higher systematically leads finer structure. The study aims evaluate performance ERA5 reanalysis determining spatial–temporal...
Asian citrus psyllid (ACP) is the primary vector responsible for transmission of phloem-limited bacteria Candidatus Liberibacter spp., associated with huanglongbing (HLB), which causes great loss to industry. Although roles leaf color and volatile compounds in orientation ACP have been proven, quantification allelochemicals host plant are kept unclear, especially wild germplasms.Chongyi mandarin significantly attracted more than Hong Kong kumquat, 'Gannan zao' navel orange jasmine did...
Abstract The tropopause region is crucial for the stratosphere‐troposphere exchange (STE) and acts as an indicator of climate change. Double tropopauses (DTs) act to increase STE process but their driving mechanisms remain open question. present assessment offers first time linkage between tropospheric gravity waves (GWs) DT events by exploring a global data set multi‐year radiosonde measurements. In extratropics, occurrence frequency keeps remarkably consistent spatial‐temporal structure...
Contrastive learning (CL) is a popular paradigm in deep learning, which uses contrastive principle to learn low-dimensional embeddings, and has been applied Graph Neural Networks (GNNs) successfully. Existing works of multi-view GNNs usually focus on point-to-point strategies. However, they neglect the local information neighbors, brings isolated positive samples. The quality selected samples hard evaluate, these may lead invalid contrastiveness. Therefore, we propose simple efficient...
Although the Siamese tracker has evolved rapidly in recent years, lacking discrimination always been its biggest disadvantage, compared to discriminative correlation filters (DCF) tracker. It is because mainstream trackers take only initial frame as template. In this paper, we present a new multi-template transformer-based harness tracking target's temporal features and distinguish them from several distractors. introduces cache algorithm adaptively store templates dynamically recommend most...
We investigated the variation of denitrifying communities in rice rhizosphere at tillering and booting stages comparison with bulk soils a pot experiment. The techniques quantitative polymerase chain reaction (qPCR) terminal restriction fragment length polymorphism (T-RFLP) were used to measure abundance community composition denitrifiers (narG nosZ), respectively. results showed that potential denitrification activity stage was significantly lower than soils. No significant difference...