I'm a PhD candidate in Space Sciences and Engineering at the University of Michigan, advised by Tuija Pulkkinen, and a Graduate Research Fellow at Los Alamos National Laboratory. I came up through aerospace engineering and undergraduate research at Michigan and NASA Goddard Space Flight Center, where I found my way into space physics.

My dissertation asks why Earth's magnetosphere cycles through energy storage and release on a remarkably consistent two-to-four-hour timescale, largely regardless of what the solar wind is doing. I study this through sawtooth events: quasi-periodic particle injections at geostationary orbit, embedded within geomagnetic storms, that recur with a regularity no one has fully explained.

The work runs end to end. At Los Alamos I built a new catalog of solar-cycle-24 sawtooth events, identified by hand from geostationary particle data, with Mike Henderson; I compared sawtooth events against substorms using THEMIS and RBSP alongside Bob McPherron (UCLA) and Jesper Gjerloev (JHU APL); and I carried those observational constraints into global MHD simulations, developing radiation-belt visualization tools under a contract with Charles River Analytics.

Throughout, I've built the software behind the science: most notably MIDL, a merged L1 solar-wind dataset developed with Gabor Tóth, and MSWIM2D, along with the full-stack web tools and data infrastructure that serve them. I also take on independent software and consulting work in the same spirit.

Research interests
  • Magnetospheric dynamics and substorm/sawtooth periodicity
  • Solar wind data fusion and upstream monitoring
  • Global MHD simulation of geomagnetic storms
  • Radiation belt boundary diagnostics
  • Space weather forecasting infrastructure
Publications & preprints

Research

First-author work on the magnetosphere's internal clock: statistics, multi-mission comparison, and global simulation. Tap a title for the abstract.

01

Statistical and Temporal Characteristics of Sawtooth Events

Published
C. C. DiMarco, T. I. Pulkkinen, M. G. Henderson
Annales Geophysicae, 2026

A comprehensive statistical study of magnetospheric sawtooth events during solar cycle 24 (2008–2016). We compile an 81-event catalog from geostationary energetic particle detectors and characterize their solar-cycle distribution, intertooth periodicity, and multi-point injection and dipolarization signatures. Results show near-simultaneous particle injections across all magnetic local time sectors, while magnetic field dipolarization is confined to the midnight region. This rules out global magnetospheric instability as the driver and points instead to nightside tail reconnection with enhanced convection.

doi.org/10.5194/angeo-44-35-2026 ↗
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02

Comparative Dynamics of Substorms and Sawtooth Events

Published
C. C. DiMarco, T. I. Pulkkinen, R. L. McPherron, M. G. Henderson, J. W. Gjerloev
JGR: Space Physics, 2026

A side-by-side comparison of magnetospheric substorms and sawtooth events using multi-point observations from THEMIS, RBSP, and geostationary satellites. Despite distinct solar wind driving conditions, both phenomena exhibit similar magnetic field dipolarization signatures at 8–10 RE. Sawtooth events occur during sustained southward IMF and elevated proton densities; both show a roughly three-hour periodicity, but periodicity alone does not create the sawtooth mode. The results indicate that sawtooth events represent a storm-time mode of repetitive substorm activity driven by sustained energy input.

doi.org/10.1029/2026JA035415 ↗
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03

Merged Interplanetary Data from L1: MIDL

In Review
C. C. DiMarco, G. Tóth, T. I. Pulkkinen
Space Weather

We present MIDL, a solar wind data product that merges observations from ACE, DSCOVR, and Wind via a three-stage process: per-satellite filtering and despiking, multi-satellite quality screening with agreement-first source selection, and propagation to the bow shock nose using both ballistic and 1D MHD methods. MIDL achieves near-complete temporal coverage (>95%) with strong agreement against OMNI (Pearson r = 0.99 for Vx, 0.96 for density, 0.86 for Bz). The product is publicly available through a web interface and Python package.

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04

Intrinsic Magnetospheric Periodicity Persists in Global MHD

In Preparation
C. C. DiMarco, T. I. Pulkkinen, J. W. Gjerloev
Geophysical Research Letters

Using SWMF Geospace simulations driven by observed solar wind for 122 storm periods (2010–2019), we investigate whether the intrinsic periodicity of the magnetospheric loading-unloading cycle is reproduced in global MHD. Simulations reproduce a 2–4 hour loading-unloading periodicity with a spectral peak near 144 minutes, consistent with observations, but fail to reproduce sawtooth event morphology with global particle injections. This suggests that the periodicity is a fundamental property of the coupled system, while the injection mechanism requires physics beyond ideal MHD.

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05

Predicting the Solar Wind in the Outer Heliosphere using MSWIM2D

In Preparation
C. C. DiMarco, T. I. Pulkkinen, G. Tóth
In preparation

Extending the MSWIM2D solar wind model into a forecast tool for the outer heliosphere. Using a persistence-based prediction tier driven by the most recent observed solar wind, we assess how far ahead and how far out the model retains skill, quantifying forecast accuracy as a function of heliocentric distance and lead time for the planets and deep-space spacecraft.

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Tools & data products

Products

Each runs end to end: the science, the software that serves it, and the public web interface on top.

Merged Interplanetary Data from L1

An end-to-end data product and web application that fuses 21 years of solar wind observations from ACE, DSCOVR, Wind, and IMP-8 into a single minute-resolution merged dataset. It performs per-satellite quality screening, multi-source consensus selection, and bow shock propagation using both ballistic and 1D MHD methods. MIDL raises usable plasma-data coverage from roughly 70% to over 95% and eliminates propagation artifacts present in legacy products. The web interface provides interactive plotting, custom time-range downloads, and full source provenance for every data point.

PythonData EngineeringSolar WindWeb Application
Michigan Solar Wind Model 2D

A 2-D magnetohydrodynamic model of the solar wind across the heliospheric ecliptic plane. Driven at 1 AU by in-situ spacecraft observations and propagated outward with BATSRUS, MSWIM2D provides continuous plasma and magnetic field conditions from 1 to 75 AU for any planet or deep-space spacecraft, spanning 1985 to the present with a persistence forecast tail. The web interface offers an interactive field viewer and trajectory extraction along any body's orbit, backed by a Python client.

PythonBATSRUS / MHDSolar WindWeb Application

Sawtooth Event Catalog

Catalog supplement (PDF) ↗
Solar-cycle-24 sawtooth event catalog

A manually compiled catalog of 81 magnetospheric sawtooth events spanning solar cycle 24 (2008–2016), built from visual inspection of geostationary energetic particle data at Los Alamos National Laboratory. Each event record includes injection times, tooth boundaries, solar wind conditions, and multi-satellite coverage metadata. Combined with an earlier solar cycle 23 catalog, it provides nearly two decades of sawtooth observations and underpins the statistical analyses in two of my publications.

PythonMATLABObservational DataLANL
Education · Experience · Skills

Curriculum vitae

Download the full résumé (PDF) ↓

Education
Ph.D., Space Sciences and Engineering
University of Michigan
Expected Aug 28, 2026
M.S., Space Sciences and Engineering
University of Michigan
2024
B.S.E., Aerospace Engineering
University of Michigan · Minor in Climate and Space Sciences and Engineering (CLaSP)
2022
Study Abroad in Engineering
Universidad Pontificia Comillas, Madrid, Spain
2020
Experience

Doctoral Researcher

University of Michigan
2022 – Present
  • Led 4-year thesis program synthesizing multi-satellite observations, global ground-magnetometer networks, and global magnetohydrodynamic storm simulations to investigate periodic geomagnetic storm dynamics.
  • Authored 4 first-author publications advancing understanding of the roughly 3-hour loading-unloading cycle that governs energy transfer through Earth's magnetosphere.
  • Served as Graduate Student Instructor for SPACE 574: Introduction to Space Physics, a graduate-level course; led instruction, developed problem sets, and advised students on course material.
  • Designed MIDL, an end-to-end product fusing 21 years of observations from three NASA/NOAA spacecraft; raised usable plasma-data coverage from 70% to >95% and eliminated propagation artifacts in the legacy dataset feeding NOAA's operational space-weather model.
  • Updated and maintained MSWIM2D, a 2-D MHD model of the solar wind from 1 to 75 AU; modernized its operational simulation workflow and built a public web interface with an interactive field viewer and trajectory extraction for any planet or deep-space spacecraft.

Research Contractor

U.S. Space Force, in conjunction with Charles River Analytics
2024 – Present
  • Process Space Weather Modeling Framework simulation output into the 3D meshes and volumetric renders that populate the VR environment.
  • Author the scientific narrative and instructional material for a forthcoming immersive VR training application, translating complex magnetospheric physics into guided exploration.

Graduate Research Collaborator

Los Alamos National Laboratory
2023 – Present
  • Won competitive research grant from the LANL Center for Space and Earth Science to partner with LANL staff scientists on ongoing magnetospheric research.
  • Secured access to proprietary LANL satellite datasets and integrated them with public archives, enabling comparative analyses cited across two first-author publications.

Geospace Physics Laboratory Intern

NASA Goddard Space Flight Center
2021 – 2022
  • Built ground support equipment (GSE) software for the Artemis HERMES/NEMISIS magnetometer, with Python tools to decode, calibrate, process, and analyze magnetometer data.
  • Developed a machine-learning algorithm to classify and sort spectrogram outputs from the REIMEI CubeSat for a statistical study of auroral types.
  • Analyzed high-frequency electrostatic-analyzer data from the VIPER sounding-rocket mission, investigating signal sources in the AM radio band.
  • Presented results at the Summer 2021 and Fall 2021 NASA Intern Symposia.

Undergraduate Research Intern

University of Michigan
2020 – 2021
  • Researched magnetic noise-cancellation and data-processing methods for the Artemis HERMES/NEMISIS magnetometer data system.
  • Studied the correlation length between magnetometer observations at the Earth–Sun L1 point and at the Moon using MATLAB.

Undergraduate Research Assistant

University of Michigan
2019 – 2020
  • Augmented Python visualization tools for an upper-atmosphere model to display atmospheric parameters across altitudes.
Software & consulting

Church & Hill

Software Consultant
2026 – Present
  • Designing an interactive sales-targeting dashboard that ingests U.S. Census data across DFW census tracts, with live filter controls, LLM-generated neighborhood briefs, and persistent field-visit tracking.
  • Own end-to-end delivery: scoping with non-technical stakeholders, building the backend (API, SQLite, Dash), and maintaining the deployment.

The Orca Recovery

Software Consultant
2025 – Present
  • Develop and maintain all of the organization's backend systems and infrastructure.
  • Built and maintain software tooling that automates the client's books and reporting workflows, replacing manual spreadsheet processes.
  • Serve as sole technical contact, translating operational needs into durable software.

SWORD: Space Weather Operational Readiness Development

NASA Space Weather Center of Excellence
2026
  • Designed and built the public website for a multi-institutional NASA Center of Excellence spanning CU Boulder, the University of Michigan, ESMF, the University of Alaska Fairbanks, and the University of Iowa. csem.engin.umich.edu/SWORD
Coursework & projects

CubeSat Flight Lab

University of Michigan
2021
  • Design and build flight systems for high-altitude weather-balloon launches that test magnetometer, camera, and other sensor payloads.
  • Specialize in flight software, command and data handling, radio telemetry, and electrical power systems.

Weather-Balloon Radio Tracking System

University of Michigan
2024
  • Designed and built a radio tracking system (hardware and software) to locate undergraduate weather-balloon experiments in flight.
  • All three tracking units performed successfully on launch.
Presentations
  • C. DiMarco, T. Pulkkinen, M. Henderson. “Comparative Dynamics of Substorms and Sawtooth Events.” American Geophysical Union (AGU) Fall Meeting, December 2025.
  • C. DiMarco, T. Pulkkinen, M. Henderson. “Determining the Length of the Magnetotail during Substorms and Sawtooth Events.” Geospace Environment Modeling (GEM) Workshop, June 2025.
  • C. DiMarco, T. Pulkkinen, M. Henderson. “Leveraging Multi-Mission Observations to Deepen Understanding of Magnetospheric Sawtooth Events.” American Geophysical Union (AGU) Fall Meeting, December 2024.
  • C. DiMarco, T. Pulkkinen, M. Henderson. “Magnetospheric Sawtooth Events in Solar Cycle 24.” Geospace Environment Modeling (GEM) Workshop, June 2024.
  • C. DiMarco, T. Pulkkinen, M. Henderson. “Magnetospheric Sawtooth Events in Solar Cycle 24.” American Geophysical Union (AGU) Fall Meeting, December 2023.
  • C. DiMarco, T. Pulkkinen, M. Henderson. “Magnetosphere Sawtooth Events in Solar Cycle 24.” University of Michigan Space Science Seminar, Fall 2023.
  • C. DiMarco, M. Henderson, T. Pulkkinen. “Compilation of a Modern Sawtooth Event List.” LANL Space Weather Summer School, Summer 2023.
  • C. DiMarco, T. Pulkkinen, S. Kumar, M. Ala-Lahti. “Statistics of Magnetospheric Sawtooth Oscillations.” European Geosciences Union (EGU) General Assembly, 2023.
  • C. DiMarco, M. Samara. “Investigation of Sporadic E in VIPER Sounding Rocket HF Data.” NASA Intern Symposium, Winter 2022.
  • C. DiMarco, M. Samara. “VIPER AM Radio Analysis.” NASA Intern Symposium, Fall 2021.
  • C. DiMarco, E. Zesta. “Ground Support Equipment Software for the HERMES/NEMISIS Magnetometer.” NASA Intern Symposium, Summer 2021.
Skills
Scientific computing & modeling
MHD modeling (BATSRUS / SWMF), solar wind data integration & multi-mission fusion, HPC / MPI parallel computing, SPICE ephemerides, statistical and time-series analysis, machine learning, and large-scale data processing.
Software
Python (NumPy, pandas, xarray, SciPy), MATLAB, C++, Fortran, IDL, relational databases, Spark; Git, agentic / LLM-assisted development, data & 3D scientific visualization, scientific data formats (CDF, NetCDF).
Web & infrastructure
Full-stack web infrastructure, web design, front-end (HTML/CSS/JavaScript), PHP, Dash, REST APIs, SQLite; Linux, Bash, SSH / server administration, cron automation, and static-site deployment (Cloudflare, Apache).
Engineering & lab
Satellite Toolkit (STK), CATIA, Arduino, I2C/SPI interfacing, microcontrollers, basic circuitry and soldering, 3D printing, laser cutting, and wind-tunnel testing.
Research & communication
Scientific and technical writing, peer-reviewed publication, science communication, grant and proposal writing, and graduate teaching.
Domain
Magnetospheric physics, space weather, heliophysics, and solar-wind dynamics.
Languages
English, Spanish.
Interests
Pursuing an FAA Private Pilot License; four-year weekly DJ residency (1,300+ hours of paid live performance).