Clarice Satrio

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Clarice Satrio

Research
Associate II

clarice.n.satrio-1@ou.edu
clarice.satrio@noaa.gov
National Weather Center 3920

Education

MS, Meteorology, University of Oklahoma
BS, Meteorology, University of Oklahoma

Affiliated CIWRO Team

Severe Convective Probabilities and Impacts

About

Claire is a Research Associate with CIWRO/NSSL. Her work focuses on the development of Probabilistic Hazard Information (PHI) which aims to improve severe weather warning decision-making and communication. She develops quality control (QC) algorithms for automated hazard-based PHI guidance. In addition, she helps lead the analysis and verification of PHI and uses those results, along with feedback from National Weather Service (NWS) forecasters gathered through evaluations and Hazardous Weather Testbed (HWT) experiments, to guide ongoing development efforts.

Research Focus

Storm analysis and nowcasting
Algorithm and application development
R2O

CIWRO Research Themes

Weather Radar and Observations
Mesoscale and Stormscale Modeling R&D
Forecast Applications Improvements R&D

Publications

Calhoun, K. M., C. Satrio, R. Steeves, T. Sandmæl, P. A. Campbell, and K. L. Berry, 2025: Creation and Use of Automated Storm-Based Probabilistic Hazard Information for National Weather Service Forecasting and Warnings. NOAA Technical Report. 36pp. https://doi.org/10.25923/fpgn-1456.
Potvin, C. K., B. T. Gallo, A. E. Reinhart, B. Roberts, P. S. Skinner, R. A. Sobash, K. A. Wilson, K.
C. Britt, C. Broyles, M. L. Flora, W. Miller, C. N. Satrio, 2022: An Iterative Storm Segmentation
and Classification Algorithm for Convection-Allowing Models and Gridded Radar Analyses. Journal of Atmospheric and Oceanic Technology, 39, 7, 999–1013, doi:10.1175/JTECH-D-21-0141.1.
Satrio, C. N., K. M. Calhoun, P. A. Campbell, R. Steeves, T. M. Smith, 2022: An Objective Scoring Method for Evaluating the Comparative Performance of Automated Storm Identification and Tracking Algorithms. Weather and Forecasting, doi:10.1175/WAF-D-22-0047.1.
Satrio, C. N., D. J. Bodine, R. D. Palmer, and C. M. Kuster, 2021: Multi-Radar Analysis of the 20 May 2013 Moore, Oklahoma Supercell through Tornadogenesis and Intensification. Atmosphere, 12, 313, doi:10.3390/atmos12030313.

Conference presentations

Satrio, C. N., K. M. Calhoun, P. A. Campbell, R. B. Steeves, T. Sandmael, K. L. Berry, 2025: Evaluating PHI Performance from the NSSL/NWS PHI Collaboration: An Overview and On-Demand Tool Demonstration on the PHI Webpage. Poster Presentation. 106th American Meteorological Society Annual Meeting, Houston, TX.
Satrio, C. N., K. M. Calhoun, P. A. Campbell, R. B. Steeves, T. Sandmael, K. L. Berry, and A.
Gerard, 2024: Probabilistic Hazard Information as Autonomous Guidance for the NWS: A PHI Field Evaluation Project and Verification. Poster Presentation. 31st Conference on Severe Local Storms.
Satrio, C. N., K. M. Calhoun, P. A. Campbell, R. B. Steeves, T. Sandmael, P. T. Hyland, J. W. Monroe, J. G. Madden, and K. L. Berry, 2022: Forecaster Workload and Performance in the 2021-2022 Hazardous Weather Testbed Probabilistic Hazard Information Prototype Experiments. Poster Presentation. 30th Conference on Severe Local Storms.
Satrio, C. N., K. M. Calhoun, P. A. Campbell, R. B. Steeves, T. Sandmael, P. T. Hyland, J. W. Monroe, J. G. Madden, and K. L. Berry, 2022: 2021-2022 Hazardous Weather Testbed Probabilistic Hazard Information Prototype Experiment Overview. Special Session Recent Progress in Forecasting A Continuum of Environmental Threats (FACETS) Severe. Oral Presentation. National Weather Association Annual Meeting.
Satrio, C. N., T. M. Smith, K. M. Calhoun, P. A. Campbell, and D. M. Francisco, 2021: Development of Radar-Identified Storm Cell and Track Dataset for Storm Motion Distributions and Machine Learning Applications Continued. Poster Presentation. 101st American Meteorological Society Annual Meeting.
Satrio, C. N., T. M. Smith, K. M. Calhoun, P. A. Campbell, and R. Steeves, 2021: An Objective Scoring Method for Evaluating the Comparative Performance of Storm Identification and Tracking Algorithms. Verification Studies and Warn on Forecast. Oral Presentation. Student and Early Career Scientists Virtual Severe Local Storms Conference.
Satrio, C.N., Smith, T. M., Calhoun, K.M., Campbell, P.A., and Francisco, D.M., 2021: Development of Radar-Identified Storm Cell and Track Dataset for Storm Motion Distributions and Machine Learning Applications Continued. 101st AMS Annual Meeting, Amer. Meteor. Soc., Ed., New Orleans, LA (virtual).
Dyson, C., Bodine, D., and Palmer, R., 2020: High-temporal Resolution X-band Polarimetric Radar Analysis of the 20 May 2013 Moore, Oklahoma Supercell during Tornadogenesis and Tornado Intensification. 100th AMS Annual Meeting, Amer. Meteor. Soc., Ed., Boston, MA.

Clarice Satrio

Clarice Satrio

Research Associate II

Research
Associate II