Satellite observations are vital for weather forecasts, climate monitoring, and environmental studies. In recent years, there has been a concerted effort to develop methods for quantifying and representing errors associated with satellite observations. ESSIC scientist John Xun Yang has led a team of scientists in the creation of an error inventory simulator, the Satellite Error Representation and Realization (SatERR).
Tag: john xun yang
ESSIC/CISESS scientists John Xun Yang, Yong-Keun Lee, and Christopher Grassotti are co-authors on a new paper titled “Atmospheric humidity and temperature sounding from the CubeSat TROPICS mission: Early performance evaluation with MiRS” in Remote Sensing of Environment.
ESSIC scientists John Xun Yang, Yalei You, and Ralph Ferraro are co-authors on a new paper in Institute of Electrical and Electronics Engineers (IEEE) that describes a newly developed adaptive window for calibration on microwave sounders at EUMETSAT and NOAA.
Quantifying and Characterizing Striping of Microwave Humidity Sounder With Observation and Simulation
ESSIC/CISESS scientists John Xun Yang, Yalei You, and Rachael Kroodsma are co-authors on a new paper in IEEE Transactions on Geoscience and Remote Sensing alongside Sidharth Misra from NASA Jet Propulsion Laboratory and William Blackwell from MIT Lincoln Laboratory. Blackwell is also a two-time speaker for the ESSIC Seminar Series, the most recent of which can be viewed here.
ESSIC/CISESS Scientists Yalei You, John Xun Yang, and Jun Dong have a new article on using “morphing” to improve rain data from cross-track scanning radiometers. The paper, titled “Improving Cross-track Scanning Radiometers’ Precipitation Retrieval over Ocean by Morphing”, is in press at the Journal of Hydrometeorology.
ESSIC/CISESS Scientists John Xun Yang and Hu Yang have a new article in press at IEEE Transactions on Geoscience and Remote Sensing titled “A New Algorithm for Determining the Noise Equivalent Delta Temperature of In-Orbit Microwave Radiometers”.