734-936-0491
Methodologies: Data, Statistics and Stochastic Methods, Energy and Natural Resources, High Performance Computing

Xianglei Huang

Associate Professor, Climate and Space Sciences and Engineering

His research makes use of rich information contained in the spectrally resolve observations (chiefly from space) to probe the climate system and gauge the performance of climate models. Topics of his ongoing projects include formulation and design of climate monitoring system based on accurate in-flight calibration system, spectrally resolved radiation budget and radiative feedbacks, detecting spectral signals of climate changes, and model evaluations using spectral data set. In the course of such studies, huge amount of data sets from observations or climate model simulations are fed into radiative transfer model to general spectral radiances at thousands of channels for each grid on the globe and for each time interval. To accurately and efficiently carry out such calculation is only possible with massive high performance computing and, as of today, such task is still computationally challenging.

Looking at our planet through thousands of IR “glasses.”

Looking at our planet through thousands of IR “glasses.”