Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…
Ronald C. Cohen

Ronald C. Cohen

· Professor of Chemistry; Professor of Earth & Planetary Science

University of California, Berkeley · Department of Chemical and Biomolecular Engineering

Active 1957–2024

h-index119
Citations48.9k
Papers1.1k172 last 5y
Funding$3.4M
See your match with Ronald C. Cohen — sign in to PhdFit.Sign in

About

Professor Ronald C. Cohen's research focuses on developing and applying new experimental and modeling strategies for understanding the chemical composition of the Earth's atmosphere both in the present and in the past, as well as for predicting future changes. His work involves studying atmospheric chemistry to better understand air quality and climate dynamics. As the principal investigator, he leads efforts to advance knowledge in atmospheric sciences, contributing to the scientific community's understanding of environmental and climate-related issues.

Research topics

  • Environmental science
  • Geography
  • Meteorology
  • Atmospheric sciences
  • Geology
  • Physics
  • Chemistry
  • Business
  • Oceanography
  • Climatology
  • Waste management
  • Environmental health
  • Environmental chemistry

Selected publications

  • Observing U.S. Regional Variability in Lightning NO<sub>2</sub> Production Rates

    Journal of Geophysical Research Atmospheres · 2020 · 42 citations

    • Environmental science
    • Meteorology
    • Climatology

    Abstract Lightning is a large and variable source of nitrogen oxides (NO x ≡ NO + NO 2 ) to the upper troposphere. Precise estimates of lightning NO x (LNO x ) production rates are needed to constrain tropospheric oxidation chemistry; however, controls over LNO x variability are poorly understood. Here, we describe an observational analysis of variability in LNO 2 with lightning type by exploiting U.S. regional differences in lightning characteristics in the Southeast, South Central, and North Central United States. We use satellite NO 2 measurements from the Ozone Monitoring Instrument with Berkeley High Resolution vertical column densities, a combined lightning data set derived from the Earth Networks Total Lightning Network and National Lightning Detection Network TM measurements, and hourly winds from the European Centre for Medium‐Range Weather Forecasts climate reanalysis data set (ERA5) over May–August 2014–2015. We find evidence that cloud‐to‐ground (CG) strokes produce a factor of 9–11 more NO 2 than intracloud (IC) strokes for storms with stroke rates of at least 2,800 strokes·cell −1 ·hr −1 . We show that regional differences in LNO 2 production rates are generally consistent with regional patterns CG and IC stroke frequency and stroke current density. A comparison of stroke‐based and flash‐based CG/IC LNO 2 estimates suggests that CG LNO 2 is potentially underestimated when derived with flash data due to the operational definition of CG lightning. We find that differences in peak current explain a large portion of CG/IC LNO 2 variability, but that other factors must also be important, including minimum stroke rate. Because IC and CG strokes produce NO x in distinct areas of the atmosphere, we test the sensitivity of our results against the atmospheric NO 2 vertical distribution assumed in the a priori profiles; we show that the relative CG to IC LNO 2 was generally insensitive to the assumed NO 2 vertical distribution.

  • Observed Impacts of COVID‐19 on Urban CO <sub>2</sub> Emissions

    Geophysical Research Letters · 2020 · 157 citations

    Senior authorCorresponding
    • Environmental science
    • Meteorology
    • Atmospheric sciences

    Abstract Governments restricted mobility and effectively shuttered much of the global economy in response to the COVID‐19 pandemic. Six San Francisco Bay Area counties were the first region in the United States to issue a “shelter‐in‐place” order asking non‐essential workers to stay home. Here we use CO 2 observations from 35 Berkeley Environment, Air‐quality and CO 2 Network (BEACO 2 N) nodes and an atmospheric transport model to quantify changes in urban CO 2 emissions due to the order. We infer hourly emissions at 900‐m spatial resolution for 6 weeks before and 6 weeks during the order. We observe a 30% decrease in anthropogenic CO 2 emissions during the order and show that this decrease is primarily due to changes in traffic (–48%) with pronounced changes to daily and weekly cycles; non‐traffic emissions show small changes (–8%). These findings provide a glimpse into a future with reduced CO 2 emissions through electrification of vehicles.

  • The Role of Temperature and NO<i><sub>x</sub></i> in Ozone Trends in the Los Angeles Basin

    Environmental Science & Technology · 2020 · 142 citations

    Senior authorCorresponding
    • Environmental science
    • Environmental chemistry
    • Atmospheric sciences

    and the likely effects of additional emission reductions on the occurrence of high ozone in the region.

Recent grants

Frequent coauthors

  • P. J. Wooldridge

    University of California, Berkeley

    376 shared
  • P. O. Wennberg

    California Institute of Technology

    349 shared
  • J. A. Neuman

    Cooperative Institute for Research in Environmental Sciences

    194 shared
  • R. S. Gao

    NOAA Chemical Sciences Laboratory

    193 shared
  • R. J. Salawitch

    Earth System Science Interdisciplinary Center

    189 shared
  • T. P. Bui

    Bay Area Environmental Research Institute

    183 shared
  • J. J. Margitan

    California Institute of Technology

    181 shared
  • D. W. Fahey

    175 shared

Labs

Awards & honors

  • NASA Group Achievement Award (2005)
  • NASA Group Achievement Award (1998)
  • Hellman Family Faculty Fund (1999)
  • Regents Junior Faculty Fellowship (1998)

Similar researchers at University of California, Berkeley

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Ronald C. Cohen

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup