Jing Su

ORCID: 0000-0002-7645-6499
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About
Contact & Profiles
Research Areas
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Atmospheric Ozone and Climate
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Environmental Changes in China
  • Remote Sensing and Land Use
  • Evaluation and Optimization Models
  • Natural Resources and Economic Development
  • Precipitation Measurement and Analysis
  • GNSS positioning and interference
  • Advanced Decision-Making Techniques
  • International Business and FDI
  • Ionosphere and magnetosphere dynamics
  • Oceanographic and Atmospheric Processes
  • Atmospheric and Environmental Gas Dynamics
  • Air Quality and Health Impacts
  • Evaluation Methods in Various Fields
  • Remote Sensing and LiDAR Applications
  • Solar Radiation and Photovoltaics
  • Marine and fisheries research
  • Geophysics and Gravity Measurements
  • Land Use and Ecosystem Services
  • International Development and Aid
  • Aeolian processes and effects

Lanzhou University
2010-2024

Chinese Research Academy of Environmental Sciences
2024

Xi'an University of Science and Technology
2021-2024

Nanjing Product Quality Supervision and Inspection Institute
2023

China University of Petroleum, East China
2018-2020

University of Chinese Academy of Sciences
2019

University of Washington
2009-2014

Hunan University of Finance and Economics
2012

Handan College
2012

Xi'an University of Technology
2007-2008

Abstract. The dust aerosol radiative forcing and heating rate over the Taklimakan Desert in Northwestern China July 2006 are estimated using Fu-Liou transfer model along with satellite observations. vertical distributions of extinction coefficient derived from CALIPSO (Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations) lidar measurements. CERES (Cloud Earth's Energy Budget Scanner) measurements reflected solar radiation used to constrain type model, which determines...

10.5194/acp-9-4011-2009 article EN cc-by Atmospheric chemistry and physics 2009-06-18

The Atmosphere Radiation Measurements Program's Ancillary Facility (AAF/SMART‐COMMIT) was deployed to Zhangye (39.082°N, 100.276°E), which is located in a semidesert area of northwest China, during the period late April mid June 2008. We selected 11 cases retrieve dust aerosol optical depth (AOD), Angstrom exponent, size distribution, single‐scattering albedo (SSA) and asymmetry parameter (ASY) from multifilter rotating shadowband radiometer (MFRSR) measurements. These are dominated by large...

10.1029/2009jd013263 article EN Journal of Geophysical Research Atmospheres 2010-04-16

Abstract Using field observations, we perform radiative transfer calculations on snowpacks in the Arctic, China, and North America to quantify impact of light‐absorbing particles (LAPs) snow albedo its sensitivity different factors. For new snow, regional‐averaged reductions caused by all LAPs America, China are 0.009, 0.012, 0.077, respectively, which black carbon (BC) alone 0.005, 0.031, corresponding a positive forcing 0.06, 0.3, 3 W m −2 . same particulate concentrations, reduction for...

10.1002/2017jd027070 article EN publisher-specific-oa Journal of Geophysical Research Atmospheres 2017-08-05

Zenith tropospheric delay (ZTD) is one of the main error sources in space geodesy. The existing regional or global models, such as Global Pressure and Temperature 3 (GPT3), Tropospheric model, Hopfield, Shanghai Astronomical observatory model have good performance. However, precision these models relatively low regions with a large height difference, which becomes focus this article. A high-precision ZTD considering effect on proposed, China selected study area due to its called for (CHZ)....

10.1109/jstars.2022.3228917 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022-12-13

10.1038/s41612-025-00966-5 article EN cc-by-nc-nd npj Climate and Atmospheric Science 2025-02-27

10.1016/j.jqsrt.2010.07.006 article EN Journal of Quantitative Spectroscopy and Radiative Transfer 2010-07-17

Long-term observational data indicated a decreasing trend for the amount of autumn precipitation (i.e. 54.3 mm per decade) over Mid-Eastern China, especially after 1980s (similar to 5.6% decade). To examine cause trend, mechanisms associated with change were investigated from perspective water vapor transportation, atmospheric stability and cloud microphysics. Results show that decrease convective available potential energy 12.81 J kg(-1)/ microphysics, which closely related increase aerosol...

10.16555/j.1006-8775.2014.03.007 article EN Journal of Tropical Meteorology 2014-09-01

Modeled and observed solar diffuse fluxes at the surface usually have unacceptably large discrepancies. It is necessary to address resolve these discrepancies in order accurately calculate a reliable aerosol direct radiative forcing (DRF). We present compare two methods of deriving dust optical properties from MFRSR (Multi-Filter Rotating Shadowband Radiometer) observations AERONET products. The single-scattering albedo (SSA) values are found be 10% less than those AERONET. This difference...

10.1029/2011gl049571 article EN Geophysical Research Letters 2011-11-11

Zenith Tropospheric Delay (ZTD) is an important factor that restricts the high-precision positioning of global navigation satellite system (GNSS), and it great significance in establishing a real-time ZTD model. However, existing models only consider impact linear terms on estimation, whereas nonlinear factors have rarely been investigated before thus become focus this study. A model for large height difference area proposed by considering characteristics spatiotemporal variations called...

10.1016/j.geog.2023.12.002 article EN cc-by-nc-nd Geodesy and Geodynamics 2024-01-01

Abstract The change in clouds during the day is critical to Earth's energy balance and climatic evolution. However, there have been relatively few studies on cloud variations at daily timescales, owing limitations of ground‐ satellite‐observations, especially for cirrus clouds. In this study, we examined daytime variation (DCV) global scales its associated effects radiation budgets based International Satellite Cloud Climatology Project H data set. changes continental cover are more...

10.1029/2023ea003352 article EN cc-by-nc-nd Earth and Space Science 2024-08-27

Abstract Dust and high cloud interactions are critical for climate change, primarily due to the dominant roles of in greenhouse effect continental precipitation. Nonetheless, disentangling specific impacts dust from overlying meteorology influence on clouds presents great challenges. In this study, we construct a meteorological pattern that successfully reveal intricate connection between distribution atmospheric conditions. Through strong bounded relationship, find exhibits notable controls...

10.1029/2024gl109998 article EN cc-by Geophysical Research Letters 2024-09-06

Abstract. The dust aerosol radiative forcing and heating rate over the Taklimakan Desert in northwestern China July 2006 are estimated using Fu-Liou transfer model along with satellite observations. vertical distributions of extinction coefficient derived from CALIPSO (Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations) lidar measurements. CERES (Cloud Earth's Energy Budget Scanner) measurements reflected solar radiation used to constrain type model, which determines...

10.5194/acpd-9-5967-2009 preprint EN cc-by 2009-03-05

Dust events not only cause local ecosystem degradation and desertification, but also have profound impacts on regional global climate system, as well air quality human health. in Xinjiang Basin, the important dust source of Eastern Asia, undergone a significant change under warming background may be new active period after 2000, which is worthy study. This study provides temporal spatial variations Basin based surface meteorological station observation data during 1960–2015. The results show...

10.3389/fenvs.2021.727844 article EN cc-by Frontiers in Environmental Science 2021-08-25

As one of the important factors in atmospheric physical and chemical processes, aerosol optical depth (AOD) has an impact on regional global climate. Therefore, monitoring predicting temporal spatial changes AOD is considerable significance. Existing methods mainly use a large number meteorological parameters ground observations to forecast AOD. However, modeling data are numerous difficult obtain practically. In this study, adaptive forecasting (AAF) model proposed using zenith total delay...

10.1109/tgrs.2021.3129159 article EN IEEE Transactions on Geoscience and Remote Sensing 2021-11-17

Abstract. The impact of Asian dust on cloud radiative forcing during 2003–2006 is studied by using the Clouds and Earth's Radiant Energy Budget Scanner (CERES) data Fu-Liou transfer model. Analysis satellite shows that aerosol significantly reduced cooling effect at TOA. In contaminated cloudy regions, 4-year mean values instantaneous shortwave, longwave net are −138.9, 69.1, −69.7 Wm−2, which 57.0, 74.2, 46.3%, respectively, corresponding in pristine regions. satellite-retrieved properties...

10.5194/acpd-8-2061-2008 preprint EN cc-by 2008-02-05

Ice clouds are one of the most widely distributed cloud types in world and play an important role radiation budget. The microphysical parameters ice clouds, such as water content, effective radius particle concentration, have a significant effect on artificial influences weather, calculation climate feedback clouds. Because their unique physical optical properties, Understanding recognizing properties great significance for studying effects change. Ka-band zenith radar (KAZR), which has been...

10.1360/n972019-00104 article EN Chinese Science Bulletin (Chinese Version) 2019-09-01

Low-level clouds (LLC), mainly composed of liquid water droplets, cool the climate system by strongly reflecting solar radiation back to space, and thus play an important role in Earth energy budget. However, LLC properties their radiative effects are poorly represented models, leading largest source uncertainty prediction. Liquid content (LWC) is a key property determining cloud extinction characteristics fundamental parameter transfer model. To improve understanding LWC properties,...

10.1109/tgrs.2023.3278735 article EN IEEE Transactions on Geoscience and Remote Sensing 2023-01-01
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