I specialize in creating statistical and dynamical/statistical hybrid models that objectively predict weather and climate conditions more than a week in the future. I believe that the future of weather forecasting revolves around statistical forecasts that harness the physical laws of the atmosphere.
Complete Resume in PDF form: click here.
I am a hybrid operational meteorologist and researcher focused on integrating the latest science with the National Weather Service’s forecasting process.
- Operational model and forecast verification
- Developed neural network and linear models to predict ENSO and U.S. temperature and precipitation at weeks 3-4 leads
- Operational forecaster: MJO and tropical hazards, U.S. hazards, weeks 3-4 forecasts
- Python w/ ArcPy scripting to support ArcMap use in our operational products.
I was a contractor for the Climate Prediction Center charged with creating operational tools for week 3-4 forecasts.
- Dynamical model calibration for tools that support weeks 3-4 forecasts
- Provided guidance and assistance on MJO and tropical hazards products
I was in a consulting position to help RiskPulse improve predictions for their customers.
- Worked to improve predictions using intraseasonal and interannual atmospheric and oceanic variability
- Spearheaded a number of projects to assess model skill and bias under different atmospheric regimes; created a website with this information for clients
- Worked with team to refine our predictability ideas and incorporate them into other projects as appropriate
Data Support Scientist
I was a contractor working in the GES-DISC data center at NASA Goddard Space Flight Center.
- Managed a transition of metadata for > 1,000 products to a new database
- Created multiple Python programs to interface with EarthData’s RESTful API for myself and others to use to aid the metadata transition.
I was a full-time lecturer for four semesters while finishing my dissertation.
- Created and taught courses to undergraduates: Introduction to Meteorology, Tropical Meteorology, Physical Meteorology (Thermodynamics), Environmental Issues, and Senior Seminar
Peer Reviewed Publications and Presentations
- MacRitchie, K., and C. Schreck. 2021: Tropical intraseasonal variability [in “State of the Climate in 2020”]. Bull. Amer. Meteor. Soc., 102 (8), S210–S213
- L’Heureux M., E. Becker, M. S. Halpert, Z.-Z. Hu, K. MacRitchie, and M. Tippett. 2021: ENSO and the tropical Pacific [in “State of the Climate in 2020”]. Bull. Amer. Meteor. Soc., 102 (8), S205-S210
- Liu, Z, D. Ostrenga, B. Vollmer, B. Deshong, K. MacRitchie, M. Greene, and S. Kempler. 2017: Global precipitation measurement mission products and services at the NASA GES DISC. Bull. Amer. Meteor. Soc., 98, 437-444.
- MacRitchie, K., and P.E. Roundy. 2016: The two-way relationship between the Madden Julian oscillation and anticyclonic wave breaking. Quart. J. Royal Meteor. Soc., 142, 2159-2167.
- Roundy, P.E., N. Sakaeda, K. MacRitchie, L. Gloeckler, 2017: Weather-climate interactions and MJO influences. Climate Extremes: Patterns and Mechanisms, S.-Y.S. Wang et al., Eds., Amer. Geophys. Union, 139-163.
- MacRitchie, K., and P. E. Roundy, 2012: Potential vorticity accumulation following atmospheric Kelvin waves in the active convective region of the MJO. J. Atmos. Sci., 69, 908-914.
- Roundy, P. E., K. MacRitchie, J. Asuma, T. Melino, 2010: Modulation of the global atmospheric circulation by combined activity in the Madden–Julian oscillation and the El Niño–Southern oscillation during boreal winter. J. Climate, 23, 4045–4059.
- Invited speaker: 18th Annual Maxar Energy Conference, October, 2019 on the MJO and ENSO at CPC.