Nan DENG a Ph.D. student in the Department of Mechanical Engineering at The Hong Kong Polytechnic University, supervised by Prof. Li Mengying. My PhD research focuses on quantifying the effects of clouds on the angular and spectral Plane of Array (POA) irradiance using a 3D shortwave Monte Carlo Radiative Transfer Model (MC-RTM) and advanced deep learning techniques. In addition to my primary research, I also participated in the project of retrieving cloud properties from Fengyun-4A satellite data. My role in this project involved simulating the upwelling radiance at the top of the atmosphere (TOA) using shortwave MC-RTM.

I got my BSc degree in Nanjing University of Information Science & Technology, where I embarked on my initial research project: analyzing the impact of various cloud particles on brightness temperature using the CRTM model. I obtained my Master Degree in NSSC/UCAS where I researched the Feiyun-3 Series Satellite’s GNSS data processing, advised by Prof. BAI Weihua, where I studied the grid optimization algirithm to control the quality of precessing.

For my PhD program, I am studying the angular-spectral characteristics of radiation propagation in atmosphere and water, via a 3D Monte Carlo shortwave radiative transfer model and deep learning approach. I have completed my research on radiative transfer in water body. Currently, I am studying how different cloud particle types affect upwelling and downwelling radiation, as well as plane of array (POA) irradiance.

📖 Education

• MS in Earth and Space Detection Technology, 2022

  National Space Science Center, University of Chinese Academy of Sciences (NSSC/UCAS)

• BSc in Atmosphere Science, 2017

  Nanjing University of Information Science and Technology (NUIST)

📝 Publication

• Quantifying the effects of spectral and directional distribution of radiation on its propagation in saline water. Applied Thermal Engineering (2024): 124536.

  Nan Deng, Peixin Dong, Zhe Wang, Mengying Li*.

• Evaluation of Forward Models for GNSS Radio Occultation Data Processing and Assimilation. Remote Sensing (2022): 14 (5), 1081.

  Nan Deng, Weihua Bai*, Yueqiang Sun, Qifei Du, Junming Xia, Xianyi Wang, Congliang Liu, Yuerong Cai, Xiangguang Meng, Cong Yin et al.

• Applications of GNSS-RO to numerical weather prediction and tropical cyclone forecast. Atmosphere (2020): 11 (11), 1204.

  Weihua Bai, Nan Deng*, Yueqiang Sun, Qifei Du, Junming Xia, Xianyi Wang, Xiangguang Meng, Danyang Zhao, Congliang Liu, Guangyuan Tan et al.

• Simulations and analysis of GNSS multipath observables for frozen and thawed soil under complex surface conditions. Water 13 (14), 1986. C Gao, W Bai, Z Wang, X Wu, L Liu, Nan Deng, J Xia.

💻 Skills

• Programming Language: Python (⭐️⭐️⭐️⭐️⭐️) , MATLAB (⭐️⭐️⭐️), C (⭐️⭐️), Fortran (⭐️)
• Programming Environment: Windows (⭐️⭐️⭐️⭐️⭐️), Linux (⭐️⭐️⭐️⭐️⭐️)
• Atmospheric Numerical Simulation Software: WRF (⭐️), LICOM (⭐️)
• GNSS data pre-processing softwave : ROPP (⭐️⭐️⭐️⭐️)
• RTM softwares : LibRadTran (⭐️⭐️), mcarats (⭐️)
• Tools: Photoshop, Xmind, Visio, Drawio

📝 Research

• The water radiative transfer model. This study provides essential guidance for the design and performance evaluation of applications such as air–water interface, radiation-driven underwater vapor generation, and underwater photovoltaic systems.

• Study the angular distribution of POA while considering solar in different relative location with a cumulus cloud, via a 3D shortwave RTM model. The python RTM model is developed by Prof. Li, Mengying. I keep on going to update this model: (1) from 2D to 3D; (2) accelerating by correlated-K method (3) from homogeneous to inhomogeneous cloud layers.