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Kristen Okorn

Kristen Okorn

NASA Postdoctoral Program (NPP) Fellow

Affiliation: Oak Ridge Associated Universities

Branch: Atmospheric Science Branch (SGG)


Phone: (650) 604-2237

Professional Biography

Kristen is a postdoc in the Trace Gas Group (TGGR). Her main research project, INSTEP, focuses on deploying low-cost air quality monitors throughout California to study wildfire emissions and provide validation data for remote sensing instruments. These measurements also support the AGES+ (AEROMMA+CUPiDS, GOTHAAM, EPCAPE, STAQS and others) campaigns in Los Angeles. She is also a Co-I on the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP), and is involved in several education outreach programs at Ames.  


Ph.D. Environmental Engineering, University of Colorado Boulder, 2021 

M.E. Mechanical Engineering, Stevens Institute of Technology, 2018 

B.E. Mechanical Engineering, Stevens Institute of Technology, 2018 

Select Publications

Okorn, K., Iraci, L., and Hannigan, M.: Comparing Low-Cost Sensors with Ground-Based and Airborne In-Situ and Column Observations of NO2 and HCHO during the FRAPPE Field Campaign in Colorado, USA, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-7839,, 2023. 

Viciani, S., Barucci, M., Bianchini, G., Campos, T., D’Amato, F., Dang, C., Golstone, L., Gurganus, C., Iraci, L., Montori, A., Okorn, K., Podolske, J., and Yates, E.: Positive anomalies in Carbon Monoxide concentrations observed in the upper troposphere – lower stratosphere during the 2022 Asian summer monsoon season, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-13146,, 2023. 

Okorn, K., Jimenez, A., Collier-Oxandale, A., Johnston, J., and Hannigan M.: 

Characterizing methane and total non-methane hydrocarbon levels in Los Angeles communities with oil and gas facilities using air quality monitors, Science of The Total Environment, 777, 146194,, 2021. 

Okorn, K. and Hannigan, M.: Improving Air Pollutant Metal Oxide Sensor Quantification Practices through: An Exploration of Sensor Signal Normalization, Multi-Sensor and Universal Calibration Model Generation, and Physical Factors Such as Co-Location Duration and Sensor Age, Atmosphere, 12(5):645., 2021. 

Press Releases & Websites