Fenglin Sun

ORCID: 0000-0003-1812-141X
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About
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Research Areas
  • Meteorological Phenomena and Simulations
  • Precipitation Measurement and Analysis
  • Numerical methods in inverse problems
  • Microwave Engineering and Waveguides
  • Ultrasonics and Acoustic Wave Propagation
  • Antenna Design and Analysis
  • Climate variability and models
  • Microwave Imaging and Scattering Analysis
  • Ocean Waves and Remote Sensing
  • Advanced Multi-Objective Optimization Algorithms
  • Flood Risk Assessment and Management
  • Antenna Design and Optimization
  • Soil Moisture and Remote Sensing
  • Numerical methods in engineering
  • Atmospheric aerosols and clouds
  • Advanced Antenna and Metasurface Technologies
  • Metaheuristic Optimization Algorithms Research
  • Remote Sensing in Agriculture
  • Geophysics and Gravity Measurements
  • Tropical and Extratropical Cyclones Research
  • Arctic and Antarctic ice dynamics
  • Composite Material Mechanics
  • Topology Optimization in Engineering
  • Cryospheric studies and observations
  • Species Distribution and Climate Change

China Meteorological Administration
2017-2024

Guangxi Normal University
2024

Qingdao Municipal Center for Disease Control and Prevention
2023-2024

Central South University
2022-2023

Institute of Disaster Prevention
2022-2023

Tianjin Normal University
2023

Beijing Meteorological Bureau
2023

Longgang Central Hospital
2022

Jilin University
2017-2020

Jilin Medical University
2019-2020

Fengyun-4A (FY-4A), the first of Chinese next-generation geostationary meteorological satellites, launched in 2016, offers several advances over FY-2: more spectral bands, faster imaging, and infrared hyperspectral measurements. To support major objective developing prototypes FY-4 science algorithms, two product algorithm testbeds for imagers sounders have been developed by scientists Algorithm Working Group (AWG). Both testbeds, written FORTRAN C programming languages Linux or UNIX...

10.1007/s13351-017-6161-z article EN Journal of Meteorological Research 2017-08-01

Random forests (RFs), an advanced machine learning (ML) method, was used here to develop a robust and rapid quantitative precipitation estimates (QPEs) algorithm for the new-generation geostationary satellite of Himawari-8. In this algorithm, global measurement (GPM) product has been employed train QPE prediction model. The real-time multiband infrared brightness temperature from Himawari-8, combined with spatiotemporally matched numerical weather (NWP) data forecast system, have as...

10.1109/tgrs.2018.2874950 article EN IEEE Transactions on Geoscience and Remote Sensing 2018-11-06

Precipitation is one of the most important parameters in Earth system but hard to measure. China began develop satellites dedicated precipitation measurements second generation FengYun polar-orbiting meteorological satellite program (FY-3). The first total 2 rainfall missions scheduled, FY-3G, was successfully launched on 16 April 2023 and became world’s third measure with space-borne radar after tropical measuring mission 1997 global measurement core observatory 2014. In this manuscript, we...

10.34133/remotesensing.0097 article EN cc-by Journal of Remote Sensing 2023-01-01

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...

10.3390/rs11040383 article EN cc-by Remote Sensing 2019-02-13

To assist the Department of Emergency Management in understanding overall risk characteristics and situation an urban agglomeration for a reasonable prevention control strategy, this study developed comprehensive multi-hazard assessment model with multiple factors. The proposed includes disaster probability loss sub-models. evaluated four types agglomerations: natural disasters, accidental public health incidents, social security incidents. In addition, variety factors were integrated into...

10.1016/j.jnlssr.2022.09.008 article EN cc-by-nc-nd Journal of Safety Science and Resilience 2022-11-19

Abstract Here, we studied the effects of inlet temperature on physicochemical properties hydrolyzed protein (seed‐watermelon seed [SWSP]) powder in seed‐watermelon seeds. The study was range 150 to 180 °C, and remaining experimental parameters remained constant, that is, feed flow rate 0.2 L/hr, concentration maltodextrin 30%, outlet 80 °C. We water activity moisture content, bulk density, flowability (Carr index Hausner ratio), angle repose, solubility, color, hygroscopicity, morphology,...

10.1111/1750-3841.15432 article EN Journal of Food Science 2020-09-14

Fengyun (FY) satellite program is becoming the important component of global earth observing system. Its instrumental performance, i.e., data quality and stability, play a critical role to support quantitative applications, such as atmospheric surface parameter retrievals, numerical weather prediction (NWP) production Climate Data Records (CDRs). For monitoring radiative transfer models (RTMs) together with NWP fields are used simulate reference radiance in FY instrument schemes (FY-SIMS)....

10.1016/j.jqsrt.2020.107239 article EN cc-by-nc-nd Journal of Quantitative Spectroscopy and Radiative Transfer 2020-08-04

N-nitrosamines are human carcinogens commonly present in dried aquatic products. A method of gas chromatography – mass spectrometry combined with steam distillation was developed for the determination 9 products Qingdao, China, which 300 samples fish, squid, shrimp and sea cucumber collected from Qingdao were analysed. health risk assessment conducted based on determined levels by using estimated daily intake slope factors. Results showed that fish category highest content N-nitrosamines,...

10.1080/19393210.2023.2177355 article EN Food Additives and Contaminants Part B 2023-02-26

Weather radars are commonly used to track the development of convective storms due their high resolution and accuracy. However, coverage existing weather radar is very limited, especially in mountainous ocean areas. Geostationary meteorological satellites can provide near global real-time observations, which compensate for lack observations. In this paper, a deep learning method was estimate composite reflectivity from observations China's new-generation geostationary satellite FY-4A...

10.3390/s23010081 article EN cc-by Sensors 2022-12-22

GaoFen-4 (GF-4) and Himawari-8 (H8) imagery data were utilized to demonstrate validate the impact of enhanced spatiotemporal imaging resolution when tracking Super Typhoon Nepartak (2016). The GF-4 remote sensing satellite is China's first civilian high-resolution geostationary optical satellite, which has been launched at end December 2015.A classical TV-L1 flow (OF) algorithm H8 cloud-top products also presented derive cloud-tracking motions, rotating centers, geometric centers investigate...

10.1109/lgrs.2018.2876895 article EN IEEE Geoscience and Remote Sensing Letters 2018-11-12

In this paper, we establish the unique determination results for several inverse acoustic scattering problems using modulus of near-field data. By utilizing superpositions point sources as incident waves, rigorously prove that phaseless near-fields collected on an admissible surface can uniquely determine location and shape obstacle well its boundary condition refractive index a medium inclusion, respectively. We also uniqueness in determining locally rough from data due to sources. These...

10.3934/ipi.2020026 article EN cc-by Inverse Problems and Imaging 2020-01-01

Ground-based weather radar data plays an essential role in monitoring severe convective weather. The detection of such systems time is critical for saving people’s lives and property. However, the limited spatial coverage radars over ocean mountainous regions greatly limits their effective application. In this study, we propose a novel framework deep learning-based model to retrieve composite reflectivity factor (RCRF) maps from Fengyun-4A new-generation geostationary satellite data....

10.3390/rs13112229 article EN cc-by Remote Sensing 2021-06-07

Severe convection is a disastrous mesoscale weather system. The early detection of such systems very important for saving peoples’ lives and properties. Previous studies address the issue mainly based on thresholding methods, which are not robust accurate enough. In this paper, we propose novel semantic segmentation method (Dugs-UNet) to solve problem. Our well-known U-Net framework. As convective clouds mimic fluids, its faces two challenges. First, shape boundary features need be carefully...

10.3390/atmos15030243 article EN cc-by Atmosphere 2024-02-20

This paper is concerned with the uniqueness in inverse acoustic scattering problems modulus of far-field patterns co-produced by obstacle (resp. medium) and point sources. Based on superposition sources as incident waves, we overcome difficulty translation invariance induced a single plane wave, rigorously prove that location shape well its boundary condition or refractive index can be uniquely determined patterns. work different from our previous phaseless [2018 Inverse Problems 34,...

10.1088/1361-6420/ab3373 article EN Inverse Problems 2019-07-18

Antioxidants are widely used to prevent oxidative degradation of food-contact plastics materials. However, when plastic products come into contact with food, antioxidants may contaminate food. Herein, twenty-three kinds possible were monitored in 257 seven polymers. The migration the food simulants at different temperatures and times was detected by using HPLC-MS/MS. Risk assessment performed based on EU, U.S. FDA methods Monte Carlo simulation. migrated mainly fatty simulant, highest...

10.1016/j.jfp.2023.100121 article EN cc-by-nc-nd Journal of Food Protection 2023-06-22

Nowcasting of convective weather is a challenging and significant task in operational forecasting system. In this study, new convolution recurrent neural network (ConvRNN)-based regression for prediction proposed, which named as the Convective Weather Net (CWNNet). The CWNNet adopts joint observations Fengyun-4A geostationary satellite ground-based Doppler radar data last 0–1-hour inputs model to predict reflectivity factor maps next 0-1 hour. statistical validating results clearly...

10.1109/jstars.2023.3262557 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023-01-01

Abstract We consider the inverse source problem of determining an acoustic from multi-frequency phaseless far-field data. By supplementing some reference sources to model, we develop a novel strategy for recovering phase information This technique leads easy-to-implement retrieval formula. Mathematically, stability approach is rigorously justified. Then employ Fourier method deal with recovered information. Finally, two and three dimensional numerical results are presented demonstrate...

10.1515/jiip-2022-0049 article EN Journal of Inverse and Ill-Posed Problems 2023-02-22

Convective initiation (CI) nowcasting over China has a problem of high false-alarm rate (FAR) due to the local convective processes, most which do not produce severe weather. In order focus on those CIs with weather, new 0-2 h CI system is developed in this article, named rapidly convection monitoring (RDCMS), using data from advanced geosynchronous radiation imager onboard Fengyun-4A(FY-4A) satellite. The RDCMS only used identify at early stage, but also prevent relative FAR. key solutions...

10.1109/jstars.2019.2952976 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2019-11-01

Design of a 35 GHz conformal microstrip patch antenna 4 x elements array on perfectly conducting cone is presented. A new kind feed approach, which hemline method (HFM), used to design the element. And this for forming array. The influence conical curvature radiation features discussed. Simulations by CST MICROWAVE STUDIO are given verify present design.

10.1109/apmc.2007.4555171 article EN Asia-Pacific Microwave Conference 2007-12-01

With the application of electricity information acquisition system and gradual improvement related functions, management on line-loss in intelligent distribution area operated by power supply enterprises has made great progress. However, due to influence subjective objective factors, not reached expected target, which directly affects economic benefit enterprises. This article mainly introduces a new technique based system. The abnormal loss electric energy caused current with unbalanced...

10.1049/joe.2018.9194 article EN cc-by The Journal of Engineering 2019-11-29
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