A5075598032- Calibration and Measurement Techniques
- Atmospheric and Environmental Gas Dynamics
- Atmospheric aerosols and clouds
- Meteorological Phenomena and Simulations
- Remote-Sensing Image Classification
- Cryospheric studies and observations
- Infrared Target Detection Methodologies
- Arctic and Antarctic ice dynamics
- Landslides and related hazards
National University of Defense Technology
2022-2023
Temperature and humidity profiles in the atmospheric boundary layer are essential for climate studies. The ground-based infrared hyperspectral spectrometer has advantage of measuring radiances emitted from atmosphere at a high temporal moderate vertical resolution. In this article, retrieval temperature observations is exploited. Although existing inversion algorithms based on physical models or statistical learning have made some progress, they still suffer computational complexity poor...
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...
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...
Abstract. Various retrieval algorithms have been developed for retrieving temperature and water vapor profiles from Atmospheric Emitted Radiance Interferometer (AERI) observations. The physical algorithm, named AERI Optimal Estimation (AERIoe), outperforms other in many aspects except the time, which is significantly increased due to complex radiative transfer process. calculation of Jacobian matrix most computationally intensive step algorithm. Interestingly, an analysis change...
Abstract. Due to the complex radiative transfer process, retrieval time of physical algorithm is significantly increased compared with that statistical algorithm. The calculation Jacobian matrix most computationally intensive part Further analysis showed changes in Jacobians had little effect on performance On basis above findings, a fast physical-iterative was proposed by adaptively updating keeping atmospheric state. evaluated using synthetic ground-based infrared spectra observations....