Yuli Liu

ORCID: 0000-0002-8374-5811
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About
Contact & Profiles
Research Areas
  • Tropical and Extratropical Cyclones Research
  • Coastal and Marine Dynamics
  • Meteorological Phenomena and Simulations
  • Cryospheric studies and observations
  • Atmospheric aerosols and clouds
  • Advanced Computational Techniques and Applications
  • Oceanographic and Atmospheric Processes
  • Atmospheric chemistry and aerosols
  • Flood Risk Assessment and Management
  • Arctic and Antarctic ice dynamics
  • Ocean Waves and Remote Sensing
  • Precipitation Measurement and Analysis
  • Bamboo properties and applications
  • Atmospheric Ozone and Climate
  • Geological formations and processes
  • Icing and De-icing Technologies
  • Oil Spill Detection and Mitigation
  • Remote Sensing and Land Use
  • Soil Moisture and Remote Sensing
  • Geological Modeling and Analysis
  • Geology and Paleoclimatology Research
  • Land Use and Ecosystem Services
  • Atmospheric and Environmental Gas Dynamics

University of Maryland, Baltimore County
2024-2025

Goddard Space Flight Center
2025

Nanjing University of Information Science and Technology
2022-2025

University of Wisconsin–Madison
2019-2023

University of Utah
2021

Zhejiang A & F University
2018

Universität Hamburg
2018

National Space Science Center
2018

Chinese Academy of Sciences
2018

University of Chinese Academy of Sciences
2018

Bamboo forest has great potential in climate change mitigation. However, the spatiotemporal pattern of carbon storage global bamboo is still cannot be accurately estimated, because lack an accurate distribution information. In this paper, was mapped with following steps. To begin with, training samples were obtained based on investigation data, statistic and literature data. Then, a decision tree constructed for mapping by integrating Landsat 8 OLI MODIS Finally, area estimated using pixel...

10.1109/jstars.2018.2800127 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018-02-16

Atmospheric convection plays a fundamental role in the vertical redistribution of atmospheric constituents, driving circulation, and creating severe weather conditions that put life property at risk. Cloud precipitation processes their related release latent heat are coupled to rate air motion convective updrafts downdrafts. Observations have generally been confined suborbital observations limited areas periods time, but understanding global distribution is very much needed. The...

10.5194/egusphere-egu25-7761 preprint EN 2025-03-14

Surf during typhoon events poses severe threats to coastal infrastructure and public safety. Traditional monitoring approaches, including in situ sensors numerical simulations, face inherent limitations capturing surf impacts—sensors are constrained by point-based measurements, while simulations require intensive computational resources for real-time monitoring. Video-based offers promising potential continuous observation, yet the development of deep learning models detection remains...

10.3390/rs17061039 article EN cc-by Remote Sensing 2025-03-16

The SCHISM model is widely used for ocean numerical simulations, but its computational efficiency constrained by the substantial resources it requires. To enhance performance, this study develops GPU–SCHISM, a GPU-accelerated parallel version of using CUDA Fortran framework, and evaluates acceleration performance on single GPU-enabled node. research results demonstrate that GPU–SCHISM achieves while maintaining high simulation accuracy. For small-scale classical experiments, GPU improves...

10.3390/jmse13040662 article EN cc-by Journal of Marine Science and Engineering 2025-03-26

Abstract In this paper, we propose an ensemble optimization algorithm to retrieve the hydrometeor profiles for upcoming Ice Cloud Imager submillimeter‐wave radiometer. The combines database approach with local under a framework of Bayesian Monte Carlo methodology. It first builds retrieval atmospheric parameters obtained from prior information, and then it conducts minimize cost function when too few cases match observations. does not use gradient information. Instead, learns what optimum's...

10.1002/2017jd027892 article EN Journal of Geophysical Research Atmospheres 2018-04-02

10.1016/j.coastaleng.2019.103537 article EN publisher-specific-oa Coastal Engineering 2019-08-21

10.1016/j.scitotenv.2022.154314 article EN publisher-specific-oa The Science of The Total Environment 2022-03-04

10.1016/j.jglr.2022.03.001 article EN publisher-specific-oa Journal of Great Lakes Research 2022-03-10

Flash rips are episodic bursts of water jetting offshore, which can lead to drowning incidents by taking swimmers off guard without warning. A hidden danger due flash beachgoers is not widely recognized. This study reveals hazards investigating a series along coasts Lake Michigan during storm events over 4-day period. Occurrences and causes depicted through webcam image observations, features atmospheric disturbances, hydrodynamic circumstances wind waves meteorologically induced level...

10.2139/ssrn.4000678 article EN SSRN Electronic Journal 2022-01-01
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