CV
Publications, Invited Talks, Education, Research, Teaching, Service, Skills.
Publications
Tippett, M.K., Malloy, K., and Lee, S.H. (2023). Modulation of U.S. tornado activity by year-round North American weather regimes. Mon. Wea. Review, in revision.
Malloy, K. and Tippett, M.K. (2023). A Stochastic Statistical Model for U.S. Outbreak-level Tornado Occurrence based on the Large-scale Environment. Mon. Wea. Review, https://doi.org/10.1175/MWR-D-23-0219.1.
Malloy, K. and Tippett, M.K. (2023). ENSO and MJO Modulation of U.S. Cloud-to-ground Lightning Activity. Mon. Wea. Review, https://doi.org/10.1175/MWR-D-23-0157.1.
Malloy, K. and Kirtman, B.P. (2023). Subseasonal Great Plains Rainfall via Remote Extratropical Teleconnections: Regional Application of Theory-guided Causal Networks. JGR: Atmospheres, https://doi.org/10.1029/2022JD037795
Malloy, K. and Kirtman, B.P. (2022). The Summer Asia-North America Teleconnection and its Modulation by ENSO in Community Atmosphere Model, Version 5 (CAM5). Climate Dynamics, https://doi.org/10.1007/s00382-022-06205-4
Malloy, K. and Kirtman, B.P. (2020). Predictability of Midsummer Great Plains Low-Level Jet and Associated Precipitation. Wea. Forecasting, 35, 215–235, https://doi.org/10.1175/WAF-D-19-0103.1.
Mahoney, K., D. Swales, M.J. Mueller, M. Alexander, M. Hughes, and K. Malloy. (2018). An Examination of an Inland-Penetrating Atmospheric River Flood Event under Potential Future Thermodynamic Conditions. J. Climate, 31, 6281–6297, https://doi.org/10.1175/JCLI-D-18-0118.1.
Invited Talks
A Stochastic Statistical Model for U.S. Outbreak-level Tornado Occurrence based on the Large-scale Environment | Laboratoire de Science du Climat et de l’Environnement (LSCE) | January 2024
Subseasonal Great Plains Rainfall via Remote Extratropical Teleconnections: Regional Application of Theory-guided Causal Networks | AGU Early Career Science Seminar | March 2023
Predictability of U.S. Great Plains Summer Hydroclimate via Extratropical Teleconnections | Lamont-Doherty Earth Observatory (LDEO) Ocean and Climate Physics (OCP) Seminar | February 2023
Subseasonal Great Plains Rainfall via Remote Extratropical Teleconnections: Application of Theory-guided Causal Networks | AGU Annual Meeting Session on S2S Prediction | December 2022
Predictability of U.S. Great Plains Summer Hydroclimate via East Asian Monsoon-forced Teleconnection | NASA GMAO Seasonal Prediction Group | June 2022
Predictability of the Great Plains Low-level Jet and its Associated Precipitation | NMME Monthly Meeting | February 2020
Education
Ph.D.: University of Miami Rosenstiel School of Marine & Atmospheric Science | 2022
Department of Atmospheric Sciences
Thesis: Predictability of U.S. Great Plains Summer Hydroclimate via Extratropical Teleconnections
Adviser: Ben P. Kirtman
B.S.: University of Maryland, College Park | 2017
Honors College, Departmental Honors
Atmospheric & Oceanic Science
Minor: Geography-Remote Sensing of Environmental Change
Research Experience
Postdoctoral Research Scientist, Columbia University
August 2022-Present
Supervisor: Michael K. Tippett
- Subseasonal-to-seasonal predictability of severe convective storm activity
- Developed statistical model for cloud-to-ground lightning activity based on large-scale environment
- Assess subseasonal-to-seasonal modulation of lightning activity
- Constructed a submonthly tornado outbreak index that predicts probability of outbreak-level tornado given environment
- Assess subseasonal-to-seasonal modulation of tornado outbreak activity
- High-level experience writing python code for the development of empirical models, evaluating the model performance, investigating links with climate variability
- Specific modeling techniques include (but not limited to): linear regression, Poisson Regression, logistic regression, random forests, artificial neural networks
- Skilled in data preprocessing, feature selection, and model evaluation techniques to ensure the robustness and reliability of statistical models
- Proficient with Python libraries for staticial modeling and machine learning prediction, including (but not limited to): scikit-learn, statsmodels, tensorflow
- Oral presentation at 2023 European Conference on Severe Storms
- Poster presentation at 2023 European Conference on Severe Storms
Graduate Research Assistant, Univ. Miami Rosenstiel School
Fall 2017-Present
Committee: Ben Kirtman, Amy Clement, Emily Becker, Brian Mapes, Hosmay Lopez
- Predictability of summer U.S. hydroclimate on subseasonal-to-seasonal and interannual timescales via understanding of large-scale circulation responses and interactions between teleconnections
- Using Python and creating Jupyter notebooks for reading and visualizing data
- High-level spatiotemporal data analysis on:
- NASA, ECMWF, and NOAA reanalysis and observational datasets (ERA5, MERRA-2, ERSST, NCEP/NCAR, etc.)
- Community Climate System Model, v4 (CCSM4) forecast
- Dry nonlinear baroclinic atmospheric model
- Community Atmospheric Model, v5 (CAM5) output
- Community Earth System Model (CESM1.2) and CAM5 setup, build, & conducted four different prescribed SST experiments, and mentored other graduate students on CESM process
- Setup, write code for monsoon forcing, developed, and conducted idealized forcing experiments with a dry nonlinear baroclinic AGCM; created documentation, and mentored other graduate students; created scripts/functions for reading model output used by other graduate students
- Build linear QG model that generates an upper-level mid-latitude response given a mean state (jet stream climatology) and forcing
- Defended doctoral dissertation in May 2022
- Oral presentation for 2022 AMS annual meeting
- 1-hour Seminar for Dept. of Atmospheric Science at Rosenstiel School in November 2021
- Oral presentation at 2021 AMS annual meeting
- Oral presentation at Rosenstiel School Student Seminar series in 2019, 2020, 2021
- Poster presentation at 2020 AMS annual meeting
Collaborator, PyWR, Weather Typing, and S2S Sources of Predictability Project
Summer 2022-Winter 2023
Project leads: Ángel Muñoz and Andrew Robertson
- Project in collaboration with participants of NCAR Advanced Summer Program The Science of S2S Predictions PyWR and Weather Typing group and International Research Institute/Lamont-Doherty Earth Observatory (IRI/LDEO) scientists
- Applying weather typing via k-means clustering to explore summertime predictability of North Atlantic circulation and associated precipitation
- Primary contribution – boreal summer intraseasonal oscillation (BSISO) and East Asian monsoon (EAM) as a source of predictability for summer weather types
- Poster presentation for 2022 AMS annual meeting
Intern, NOAA Climate and Weather Prediction Center, Ocean Prediction Center
Fall 2016-Spring 2017
- Building case study analysis of stratospheric air intrusion events and improving hurricane-force wind forecasts of extratropical cyclones in Atlantic Ocean using satellite imagery
- Primary channels/products: Himawari-8 Airmass RGB product; AIRS, IASI, and ATMS/CrIS total column ozone; Himawari-8 Water Vapor (6.2 μm, 6.9 μm, 7.3 μm); ASCAT winds; AMSR winds; NUCAPS profiles of moisture and temperature
- MERRA-2 Global Reanalysis time-averaged and instantaneous 3-hourly data for cross-sectional analysis
- Give presentations or instructional kits to Alaskan Weather Forecast Offices and Ocean and Weather Prediction Centers
- Working with GEMPAK/AWIPS software, Python language for analyzing/visualizing data, Linux/Unix environment
- Research defended for senior thesis:
- oral prospectus defense in Fall 2016
- poster presentation in Spring 2017
- Poster presentation at 2017 AMS Annual Meeting
Intern, NOAA Earth System Research Lab Physical Sciences Division (ESRL/PSD)
Summer 2016
- Diagnosed case study of atmospheric river event by comparing “present-day” precipitation and moisture transport over western US with simulated “future” case using pseudo-global warming approach
- Work with Weather and Research Forecasting (WRF) output to compare control (present-day) run with pseudo-global warming (future) run
- Read papers about Community Earth System Model-Large Ensemble, which was run to produce delta moisture and temperature values to add to WRF
- Oral presentation at NOAA Hollings Research Symposium
- Poster presentation at 2017 AMS Annual Meeting
Intern, UC San Diego Scripps Undergraduate Research Fellowship (SURF)
Summer 2015
- Compared vertical profiles of Feb. 6th 2015 atmospheric river event using NCEP/NCAR Final Reanalysis model and dropsonde data
- Wrote Matlab scripts to read and organize dropsonde and reanalysis data
- Wrote Matlab scripts to plot vertical profiles of moisture flux and surface analyses of atmospheric river development
- Simulated GPS radio occultation techniques (Doppler shift, bending angles, refractivity profiles)
- Poster presentation at SIO SURF Student Symposium
- Poster presentation at 2016 AMS Annual Meeting
Teaching Experience
Tutor for middle and high school students, mostly math and science | 2018-2022
Teaching Assistant for Data Analysis Methods (graduate course) | Spring 2020
Teaching Assistant for Weather Forecasting | Spring 2019
Teaching Assistant for Large-scale Atmospheric & Oceanic Dynamics | Spring 2017
Teaching Assistant for Atmospheric Thermodynamics | Fall 2016
Relevant Extracurriculars & Service
Co-founder, Writer, Editor, Seasoned Chaos blog about subseasonal-to-seasonal forecasting | Present
Lead Coordinator, Students for Students Outreach | Present
Mentor, Rosenstiel School Graduate-Undergraduate Mentoring (GUM) program | 2021-2022
Rosenstiel School Climate Group | 2017-2022
Rosenstiel School Marine Science Graduate Student Organization’s Sustainability Initiative | 2020-2021
Rosenstiel School Marine Science Graduate Student Organization’s Earth Week Committee | 2020-2021
Rosenstiel School New Student Orientation Committee | 2020
Creator, Rosenstiel School Seas by Degrees Video Seminar Series | March 2021
Opening a Climate Scientist’s Toolbox: What is a Climate Model?
Rosenstiel School COMPASS Seminar Committee | 2019-2020
Presenter/Collaborator, Rosenstiel School Lunch Bytes Seminar Series | Spring 2019
SEGUE Student Reviewer (for UCAR Comet modules) | Fall 2019-Spring 2020
Rosenstiel School Atmospheric Science Dept. Student Ambassador | 2018-2019
Awards & Skills
- Proficient in a wide range of modeling techniques, including:
- Running state-of-the-art climate models to assess representation of climate dynamics/circulation and analyze long-term trends and large-scale climate variability
- Building or running idealized climate models and designing experiments to investigate specific aspects of climate systems
- Applying data-driven, empirical models to analyze and interpret climate data, identify patterns, and make predictions
- Excellent writing skills and overall science communication skills (by medium of oral presentations, writing, video-making, interviews)
- Involvement in many extracurricular and community organizations, including taking on leadership positions
- Attended the 2021 NCAR Advanced Summer Program “The Science of Subseasonal-to-Seasonal Predictions” Colloquium and Workshop
- Participated in 2022 AMS Short Course on Machine Learning for Environmental Sciences
- Tutoring and teaching experience from middle school to graduate level
- Experience in reviewing journal articles (https://orcid.org/0000-0002-1989-7490)
- Runner-up for 2020-2021 Rosenstiel School Student Seminar Best Presentation Skills award
- Finalist for Rosenstiel School Outstanding Outreach Award
- Languages (in order of proficiency): Python, Matlab, Shell, Git Bash, Fortran, Markdown/HTML, NCAR Command Language (NCL), C
- Software/Operating Systems (no particular order): Linux/Unix, Git Bash, Microsoft Office (Word, Excel, Powerpoint, etc.)
- Involved in Machine Learning/Artificial Intelligence literature reading group with some experience in applying to climate data
- Gave software and programming seminars to Rosenstiel School colleagues through “Lunch Bytes” program
- Accepted into 2020 Swiss Climate Summer School (canceled because of COVID-19)
- Attended Summer 2018 Weather and Climate Extremes NCAR Tutorial/Workshop
- 2017 University of Maryland Undergraduate Researcher of the Year
- 2017 University of Maryland Philip Merrill Presidential Scholar
- 2017 Richard Jordan Scholar (for atmospheric & oceanic science senior thesis presentations)
- 2016-2017 Outstanding Student Service in Atmos. & Oceanic Science Department
- 2014-2017 Jeffrey & Lily Chen Scholar (for atmospheric & oceanic science majors)
- 2015-2016 NOAA Ernest F. Hollings Scholar