Wei Gong

ORCID: 0000-0003-1510-6089
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About
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Research Areas
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Atmospheric Ozone and Climate
  • Atmospheric and Environmental Gas Dynamics
  • Air Quality and Health Impacts
  • Solar Radiation and Photovoltaics
  • Spectroscopy and Laser Applications
  • Air Quality Monitoring and Forecasting
  • Remote Sensing in Agriculture
  • Advanced Optical Sensing Technologies
  • Plant Water Relations and Carbon Dynamics
  • Plant Molecular Biology Research
  • Meteorological Phenomena and Simulations
  • Geochemistry and Geologic Mapping
  • Aeolian processes and effects
  • Climate variability and models
  • Photosynthetic Processes and Mechanisms
  • Environmental and Agricultural Sciences
  • Plant Reproductive Biology
  • Photovoltaic System Optimization Techniques
  • Plant responses to elevated CO2
  • Vehicle emissions and performance
  • Infrared Target Detection Methodologies
  • Ionosphere and magnetosphere dynamics
  • Plant Gene Expression Analysis

Wuhan University
2016-2025

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2016-2025

Beijing Forestry University
2019-2025

State Key Laboratory of Tree Genetics and Breeding
2025

Lishui Central Hospital
2024-2025

Wuhan Institute of Technology
2023-2025

Lanzhou University
2023

Peking University
2004-2022

Sichuan Academy of Forestry
2022

Sichuan Agricultural University
2022

Abstract China is likely the world's largest anthropogenic source of methane emissions, with coal mine (CMM) being predominant contributor. Here, we deploy 2 years satellite observations to survey facility‐level CMM emitters in Shanxi, most prolific mining province China. A total 138 detected episodic events at 82 facilities are estimated emit 1.20 (+0.24/−0.20, 95% CI) million tons per year (Mt CH 4 /yr) during 2021–2023, roughly equivalent 4.2 times integrated flux from Permian plumes and...

10.1029/2024gl109065 article EN cc-by-nc-nd Geophysical Research Letters 2024-05-25

Abstract Here, we report our effort in generating an ORFeome collection for the Arabidopsis transcription factor (TF) genes. In total, clones representing 1,282 TF genes have been obtained Gateway high throughput cloning pENTR vector, including 411 whose annotation lack cDNA support. All inserts also mobilized into a yeast expression destination with estimated 85% rate of expressing respective proteins. Sequence analysis these revealed that 34 them did not match either reported cDNAs or...

10.1104/pp.104.042176 article EN cc-by PLANT PHYSIOLOGY 2004-06-01

Monitoring fine particulate matter with diameters of less than 2.5 μm (PM2.5) is a critical endeavor in the Beijing–Tianjin–Hebei (BTH) region, which one most polluted areas China. Polar orbit satellites are limited by observation frequency, insufficient for understanding PM2.5 evolution. As geostationary satellite, Himawari-8 can obtain hourly optical depths (AODs) and overcome estimated concentrations low time resolution. In this study, evaluation AODs comparing Aerosol Robotic Network...

10.3390/rs9080858 article EN cc-by Remote Sensing 2017-08-19

The dual-affinity nitrate transceptor NITRATE TRANSPORTER1.1 (NRT1.1) has two modes of transport and signaling, governed by Thr-101 (T101) phosphorylation. NRT1.1 regulates lateral root (LR) development modulating nitrate-dependent basipetal auxin export nitrate-mediated signal transduction. Here, using the Arabidopsis (Arabidopsis thaliana) NRT1.1T101D phosphomimetic NRT1.1T101A nonphosphorylatable mutants, we found that phosphorylation state plays a key role in function during LR...

10.1104/pp.19.00346 article EN PLANT PHYSIOLOGY 2019-08-20

ABSTRACT Solar radiation is one of the major factors for agricultural, meteorological and ecological applications. In this study, two different optimized adaptive neuro‐fuzzy inference systems ( ANFIS ), with grid partition ANFIS‐GP ) subtractive clustering ANFIS‐SC M5Tree methods are proposed modelling daily global solar (G). Daily variables at 21 stations in China used training testing applied models, which evaluated through root mean square errors RMSE absolute MAE determination...

10.1002/joc.4762 article EN International Journal of Climatology 2016-05-05

Abstract Oceans are widely regarded as major offsets for anthropogenic carbon emissions, leading to an evident lower measured atmospheric CO 2 concentration than expected. It is thus of great significance develop effective means monitor fluxes over oceans globally. In this work, we utilized observations obtained by airborne ‐IPDA LIDAR evaluate the potential such in estimating sea‐air flux. During a flight experiment 2019, have estimated exchange rate, −1.5 ± 0.18 mmol/m /h, between Bohai...

10.1029/2020gl091160 article EN Geophysical Research Letters 2021-04-26

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...

10.5194/acp-23-8187-2023 article EN cc-by Atmospheric chemistry and physics 2023-07-24

Abstract Decadal aerosol characteristics and related radiative effects (ARE) efficiencies (AREE) at ultraviolet (UV), visible (VIS), near‐infrared (NIR), shortwave wavelengths were investigated in Wuhan during winter haze periods based on observations from 2007 to 2016. Aerosols changed significantly under conditions; the average optical depth increased 0.46 0.93, Ångström exponent 1.12 1.23. Fine‐mode particles became dominant, their peak radius also due hygroscopic growth. The mean value...

10.1029/2019jd030840 article EN Journal of Geophysical Research Atmospheres 2019-11-08

Hourly average monitoring data for mass concentrations of PM1, PM2.5, PM10, and black carbon (BC) were measured in Wuhan from December 2013 to 2014, which has a flourishing steel industry, analyze the characteristics PM their relation BC, using statistical methods. The results indicate that variations monthly have similar concave parabolic shapes, with highest values occurring January lowest appearing August or September. correlation coefficient linear regression model between PM1 PM2.5 is...

10.3390/atmos6091377 article EN cc-by Atmosphere 2015-09-22

10.1016/j.apr.2017.04.004 article EN publisher-specific-oa Atmospheric Pollution Research 2017-05-11

Highly accurate data on the spatial distribution of ambient fine particulate matter (<2.5 μm: PM2.5) is currently quite limited in China. By introducing NO2 and Enhanced Vegetation Index (EVI) into Geographically Weighted Regression (GWR) model, a newly developed GWR model combined with fused Aerosol Optical Depth (AOD) product meteorological parameters could explain approximately 87% variability corresponding PM2.5 mass concentrations. There existed obvious increase estimation accuracy...

10.3390/ijerph13121215 article EN International Journal of Environmental Research and Public Health 2016-12-07

Abstract The Advanced Himawari Imager (AHI), the primary sensor aboard Japanese Himawari‐8 geostationary satellite, measures regional aerosol observations with high temporal‐spatial resolution. To improve product quality and scientific applications, we performed a comprehensive evaluation of AHI products (version 1.0). We compared nearly 2 years (15 July 2015 to 31 June 2017) optical depth at 500 nm (AOD500) AODs from Aerosol Robotic Network (AERONET) Maritime (MAN). Results showed that,...

10.1029/2018jd028599 article EN Journal of Geophysical Research Atmospheres 2019-05-06

Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) provides three-dimensional information on aerosol optical properties across the globe. However, performance of CALIPSO depth (AOD) products under different air quality conditions remains unclear. In this research, three years level 2 AOD data (November 2013 to December 2017) were employed compare with Moderate Resolution Imaging Spectroradiometer (MODIS) columnar ground-based sun photometer measurements for same time...

10.1038/s41598-018-28417-7 article EN cc-by Scientific Reports 2018-06-27

Abstract Aerosols affect cloud microstructure, dynamics, and precipitation by acting as condensation nuclei (CCN) ice with a large uncertainty for deep convective clouds (DCCs). Here, we quantify the relationships between aerosols DCC properties after isolating aerosol impacts from meteorology based on METEOSAT geostationary satellite Modern‐Era Retrospective Analysis Research Application Version 2 (MERRA‐2) reanalysis data. Results show that fine (radius <1 µm), which serve best proxy...

10.1029/2020jd034275 article EN Journal of Geophysical Research Atmospheres 2021-04-19
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