Hong Ren

ORCID: 0009-0004-9437-8801
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About
Contact & Profiles
Research Areas
  • Atmospheric aerosols and clouds
  • Meteorological Phenomena and Simulations
  • Atmospheric chemistry and aerosols
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric Ozone and Climate
  • Calibration and Measurement Techniques
  • Landslides and related hazards
  • Cryospheric studies and observations

National University of Defense Technology
2022-2023

Abstract Spaceborne passive submillimeter instruments can provide higher sensitivity to a broader size range of ice hydrometeors than traditional millimeter and infrared observations. However, plane‐parallel cloud assumption is commonly applied for simplicity in retrieval algorithms, while observations from active have already demonstrated the particle variabilities vertical dimension. This study conducted assess impacts inhomogeneity on submillimeter‐wave simulations. Specifically,...

10.1002/qj.4457 article EN Quarterly Journal of the Royal Meteorological Society 2023-03-25

Blowing snow is a common weather phenomenon in Antarctica and plays an important role the water vapor cycle ice sheet mass balance. Although it has significant impact on climate of Antarctica, people do not know much about this process. Fog events are difficult to distinguish from blowing using existing detection algorithms by ceilometer. In study, based ceilometer, meteorological parameters observed surface meteorology systems further combined detect fog AdaBoost algorithm. The phenomena...

10.3390/rs14092126 article EN cc-by Remote Sensing 2022-04-28

A new cloud-base height (CBH) inversion algorithm based on infrared hyperspectral radiation using a machine learning is proposed in this paper. We use the LBLRTM and DISORT model for forward research. The minimal-redundancy-maximal-relevance (mRMR) used to extract sensitive channels of CBH as feature vectors. CBHs measured by Vaisala CL31 ceilometer (VCEIL) are taken reference values. artificial neural network (ANN) method with two hidden layers 50 10 respective applied construct mapping...

10.1109/lgrs.2022.3182473 article EN IEEE Geoscience and Remote Sensing Letters 2022-01-01

The cloud phase is one of the most important parameters clouds. In this paper, we propose a method for classification that synergistically utilizes far- and thermal-infrared bands based on Atmospheric Emitted Radiance Interferometer (AERI) at Radiation Measurement West Antarctic Experiment (AWARE) observatory in 2016. possible features are analyzed differences simulated brightness temperature (BT) spectra with different phases. Using support vector machine (SVM) algorithm, four determined to...

10.3390/rs16010071 article EN cc-by Remote Sensing 2023-12-23
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