ESSIC / CICS-MD Research Professor Xiaolei Zou was recently published in IEEE Transactions on Geoscience and Remote Sensing for her article “Striping Noise Mitigation for Tropical Rainfall Measuring Mission Microwave Imager Observations”.
The paper concerns the conical-scanning Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), a passive microwave sensor that monitors global precipitation from the TRMM satellite. The TMI has nine channels, all of which include a clear striping noise found in pitch-over maneuver data of deep space and earth-view observations.
Zou introduces a modified striping noise mitigation algorithm that extracts the noise from the observations.
A Fellow of the American Meteorological Society, Zou has research interests in atmospheric data assimilation, hurricanes, and climate changes. Her research has expanded over the past five years to include satellite data calibration, as well as validation and assimilation for both numerical weather prediction (NWP) and climate trend study.
To read the article, click here: “Striping Noise Mitigation for Tropical Rainfall Measuring Mission Microwave Imager Observations”.