Western mountain landscape
Dylan Gaeta

Dylan C. Gaeta, Ph.D.

Postdoctoral Research Associate

🏔️ Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder

🌎 NOAA Global Monitoring Laboratory

I am currently a Postdoctoral Research Associate at the Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder and the NOAA Global Monitoring Laboratory. I am currently working with Dr. Aleya Kaushik on a NOAA/NIDIS-funded research project focused on drought and carbon cycle dynamics in the Western United States.

I recently completed my Ph.D. at Johns Hopkins University, where I worked in Prof. Scot Miller's Greenhouse Gas Lab. My dissertation was titled, “U.S. emissions of trace gas air pollutants inferred from a long-term atmospheric measurement network: from fumigants to fossil fuels.” 

Education

  • 2026Ph.D., Geography & Environmental EngineeringJohns Hopkins University
  • 2018M.S., Geophysical SciencesThe University of Chicago
  • 2016B.S., Applied Mathematics  ·  B.A., ChemistryUniversity of Rochester
Research

In my work, I use atmospheric measurements of greenhouse gases and air pollutants, along with atmospheric models, inverse models, and process/physics-based models to better understand surface emissions of planet-warming and/or stratospheric ozone-depleting gases. I study both natural (biogenic) and human-caused (anthropogenic) emissions sources with the goal of holistically understanding changes and variations in Earth's atmospheric composition.

I'm broadly interested in greenhouse gases, ozone-depleting substances, air pollution, atmospheric chemistry, climate change, Earth systems, sustainability, and environmental justice.

My current focus is on carbon cycle and drought dynamics in the Western United States, integrating NOAA GGGRN flask measurements; satellite instruments like FluxSat, TROPOMI, OCO-2, GRACE, etc.; reanalysis datasets like ERA5-Land; and process-based models like the Simple Biosphere Model v4 (SiB4).

Map of the IMS-Snow snow cover area (SCA) 2026 anomaly, in percent, across the Western U.S., from the Western US Climate and Snow Drought Explorer at snowdrought.org

Research

We recently launched snowdrought.org, an interactive research dashboard with maps, time series, seasonal cycles, and cross-product anomalies of snow, water, carbon, and vegetation across the Western U.S. (1990–2026).

Explore snowdrought.org
Three-panel map of NDJF snow cover: 2000–2024 mean, 2025–2026 mean, and 2025–2026 anomaly across the Western U.S., from MODIS Terra

Research

Western U.S. snow drought and biosphere impacts

MODIS Terra (MOD10C1) wintertime mean (November-February) snow cover shows a widespread negative anomaly across the Western U.S. in 2025–2026 relative to the 2000–2024 baseline, part of ongoing work linking snow drought to biospheric carbon cycle responses.

Three-panel map of MODIS Terra nighttime land surface temperature (LST) over the Western U.S. for March: 2000–2024 climatology, 2026 observed, and 2026 detrended anomaly

Research

Anomalous March warmth from satellite land surface temperature

MODIS Terra nighttime land surface temperature (LST) for March 2026 across the Western U.S.: 2000–2024 climatology, 2026 observed, and detrended anomaly.

Three-panel map of FluxSat gross primary production (GPP) over the Western U.S. for March–May: 2000–2024 climatology, 2026 observed, and 2026 anomaly

Research

Spring vegetation productivity from satellite-based GPP

FluxSat gross primary production (GPP) for March–May 2026 across the Western U.S.: 2000–2024 climatology, 2026 observed, and anomaly.

Map of SiB4 dominant plant functional type (PFT) across North America Map of NOAA GGGRN atmospheric measurement network mean WRF footprint sensitivity across North America, alongside a pie chart of GPP sensitivity by plant functional type

Research

Land surface plant functional types (PFTs) and biosphere monitoring in SiB4

The Simple Biosphere Model v4 (SiB4) is a land surface model that simulates carbon, water, and energy exchange between vegetation and the atmosphere. Each grid cell contains a mix of PFTs; the map shows the single most abundant PFT per cell, revealing broad patterns across North America — evergreen needleleaf forest across the boreal north, C3 grass and shrub through the Intermountain West and Great Basin, winter wheat across the northern Great Plains, maize and soybean through the Corn Belt, C4 grassland across the southern Great Plains and Texas, deciduous broadleaf forest through the Midwest and East, and desert shrubland and bare ground across the Southwest.

The NOAA GGGRN collects and measures flask samples across this same diversity of biomes, quantifying carbon dioxide (CO₂), carbonyl sulfide (COS), and the isotopes ¹³C and ¹⁴C, which serve as tracers of photosynthesis, respiration, fossil fuel combustion, and biosphere drought response. In addition to satellite and remote sensing data, these trace gas measurements provide critical insight into both anthropogenic and biogenic drivers of atmospheric composition change.

Publications
2026

Satellite-based emissions estimate indicates progress toward China's methane mitigation goals

Z Huang, A Chen, L Feng, W S Daniels, D C Gaeta, K L Morgan, L T Murray, X Yu, B F Hobbs, S M Miller

In Review, Communications Earth & Environment, 2026  ·  https://arxiv.org/abs/2607.16931

Atmospheric observations reveal missing CH₄ fluxes from the North Slope of Alaska

H Liu, C E Miller, C Sweeney, J D Watts, R Commane, L D Schiferl, Z Zhang, B Poulter, L Feng, A Chen, Z Huang, D C Gaeta, K L Morgan, W S Daniels, Q Li, J R Melton, V Yadav, D Huntzinger, S M Miller

In Review, Atmospheric Chemistry and Physics, 2026

A decline in methyl bromide emissions from the U.S. over 2007–2022

D C Gaeta, J Mühle, L Hu, S Montzka, I J Vimont, M Crotwell, A Katten, M Zhang, D Waugh, S M Miller

In preparation, 2026

Emissions of propane, butane, and pentane from fossil fuel activities in the U.S.

D C Gaeta, I J Vimont, M Crotwell, L Hu, K McKain, B C Baier, Z Huang, A Chen, H Liu, W S Daniels, L T Murray, P DeCarlo, S M Miller

In preparation, 2026

U.S. oil and gas methane emission intensity declined 2019–2024 with little indication of federal policy impact

A Chen, W S Daniels, Z Huang, A P Ravikumar, S M Jordaan, Z Zhang, L Feng, H Liu, L T Murray, X Yu, D C Gaeta, K L Morgan, J Yuan, S M Miller

Communications Earth & Environment, 2026  ·  https://doi.org/10.1038/s43247-026-04039-0

Methane fluxes from Arctic & boreal North America: comparisons between process-based estimates and atmospheric observations

H Liu, M Ishizawa, F R Vogel, Z Zhang, B Poulter, L Feng, A Chen, A L Gagné-Landmann, D N Huntzinger, J R Melton, V Yadav, D C Gaeta, Z Huang, D E J Worthy, D Chan, S M Miller

Atmospheric Chemistry and Physics, 2026  ·  https://doi.org/10.5194/acp-26-1229-2026

2025

Spatial and Temporal Distribution of Global Wetland Methane Emissions During 2019–2020 Estimated From Satellite Observations

A Chen, Z Zhang, B Poulter, L Feng, H Liu, L T Murray, X Yu, Z Huang, D C Gaeta, K L Morgan, Q Zhu, S M Miller

JGR Atmospheres, 2025  ·  https://doi.org/10.1029/2025JD044354

2024

California dominates U.S. emissions of the pesticide and potent greenhouse gas sulfuryl fluoride

D C Gaeta, J Mühle, I J Vimont, M Crotwell, L Hu, J B Miller, K McKain, B C Baier, M Zhang, J Bao, B R Miller, S M Miller

Communications Earth & Environment, 2024  ·  https://doi.org/10.1038/s43247-024-01294-x

U.S. ethane emissions and trends estimated from atmospheric observations

M Zhang, I J Vimont, S Jordaan, L Hu, K McKain, M Crotwell, D C Gaeta, S M Miller

Environmental Science & Technology, 2024  ·  https://doi.org/10.1021/acs.est.4c00380

The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO₂ data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models

R Lei, J Poe, D Huntzinger, J Liu, S Sitch, D F Baker, L Feng, D C Gaeta, Z Huang, S M Miller

Remote Sensing of Environment, 2024  ·  https://doi.org/10.1016/j.rse.2024.114326

2023

Inter-Annual Variability in Atmospheric Transport Complicates Estimation of US Methane Emissions Trends

L Feng, S Tavakkoli, S M Jordaan, A E Andrews, J S Benmergui, D W Waugh, M Zhang, D C Gaeta, S M Miller

Geophysical Research Letters, 2023  ·  https://doi.org/10.1029/2022GL100366

Reports

Greenhouse Gas Emissions Inventory for the City of Baltimore, 2018–2020

D C Gaeta, J Alumbro, K Negandhi, C Liang, D Moon, S M Miller

Report for the Baltimore Office of Sustainability, 2022  ·  https://www.baltimoresustainability.org/wp-content/uploads/2023/04/2020_Baltimore_GHG_inventory_v2.pdf

City of Baltimore 2017 Greenhouse Gas Emissions Inventory Report

D C Gaeta, K Negandhi, C Liang, M Kleckner, S M Miller

Report for the Baltimore Office of Sustainability, 2020  ·  https://www.baltimoresustainability.org/wp-content/uploads/2021/09/2017_Baltimore_Inventory_v5-1.pdf

Professional Experience

Postdoctoral Research Associate

CIRES, University of Colorado Boulder  ·  NOAA Global Monitoring Laboratory  ·  Boulder, CO

Carbon cycle and drought dynamics; integrating NOAA GGGRN flask measurements; satellite instruments like FluxSat, TROPOMI, OCO-2, GRACE, etc.; reanalysis datasets like ERA5-Land; and process-based models like the SiB4 land surface model to better understand biospheric responses to drought in the Western United States. 

Mar 2026 – Present

Human Frontier Collective Specialist — GenAI

Scale AI  ·  San Francisco, CA (remote)

Developing evaluation frameworks and contributing climate science and atmospheric chemistry domain expertise to assess and improve next-generation generative AI models.

Apr 2025 – Present

Doctoral Researcher, Greenhouse Gas Research Group

Johns Hopkins University  ·  Baltimore, MD

Modeled U.S. emissions of sulfuryl fluoride, methyl bromide, and C₃–C₅ alkanes using long-term NOAA GGGRN atmospheric measurements and inverse methods.

Jan 2020 – Feb 2026

Applied Data & Governance Fellow

International Innovation Corps, University of Chicago Law School  ·  Chicago, IL

Research support for large-scale randomized control trials in India, including health insurance and wage insurance experiments. Built data pipelines in Python, R, and Stata.

Jan 2019 – Jan 2020
Education

Ph.D., Geography & Environmental Engineering

Johns Hopkins University  ·  Baltimore, MD

Dissertation: U.S. emissions of trace gas air pollutants inferred from a long-term atmospheric measurement network: from fumigants to fossil fuels

Advisor: Prof. Scot M. Miller

Jan 2020 – Feb 2026

M.S., Geophysical Sciences

The University of Chicago  ·  Chicago, IL

Thesis: An Adjoint Trajectory Model of the Perturbed Carbon Cycle

Aug 2016 – Aug 2018

B.S., Applied Mathematics  ·  B.A., Chemistry

University of Rochester  ·  Rochester, NY

Graduated cum laude with Highest Distinction in Chemistry, with Distinction in Mathematics

Aug 2012 – May 2016
CV
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Contact
Affiliations

CIRES, University of Colorado Boulder

NOAA Global Monitoring Laboratory