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Yoo-Jeong Noh

CIRA Fellow

Yoo-Jeong Noh

Senior Research Scientist/Scholar

Yoo-Jeong.Noh@colostate.edu


Yoo-Jeong Noh
Cooperative Institute for Research in the Atmosphere
Colorado State University
1375 Campus Delivery
Fort Collins, CO 80523-1375

970-491-8907

CIRA Room 13

Dr. Yoo-Jeong (YJ) Noh, CIRA cloud team lead, has been engaged in developing and applying satellite data for weather research, specializing in radiative transfer modeling and satellite remote sensing. Playing a central role in the development/validation of NOAA Enterprise Cloud Base Height and Cloud Cover Layer retrieval algorithms, she has been leading multiple JPSS/GOES projects. Her research interests involve satellite-based 3D cloud structures, turbulence/icing, machine learning/data fusion for cloud retrievals, and in-situ weather data analysis. She is also interested in developing strategies to enhance user engagement in the utilization of satellite data. Yoo-Jeong received her BSc in Atmospheric Science from Yonsei University and MS in Environmental Engineering (Environmental heat transfer/fluid mechanics) from POSTECH (South Korea). After earning her PhD in Meteorology from Florida State University, she joined CIRA in 2006 as a postdoc researcher and has since been working on satellite cloud and precipitation measurements.

Past Work

Satellite-based 3D cloud structure estimation using multiple satellite sensors (JPSS VIIRS and GOES-R ABI)

Satellite cloud data applications for aviation users

JPSS VIIRS CAL/VAL: Validate VIIRS cloud base height products with CloudSat for various cloud types and produce matchup data

Detection of supercooled liquid water-topped mixed phase clouds from multispectral satellite observations

In situ aircraft measurements of mixed-phase clouds

Multi-satellite observations of boundary layer clouds over the Arctic Ocean

GOES-R proxy radiance data study: Generate GOES-R ABI synthetic imagery using CIRA radiative transfer model and CRTM from WRF simulations

A snowfall retrieval algorithm development based on Bayes’ theorem using high frequency microwave satellite data

Teams:

Publications