A multi-city urban atmospheric greenhouse gas measurement data synthesis

Logan E. Mitchell, John C. Lin, Lucy R. Hutyra, David R. Bowling, Ronald C. Cohen, Kenneth J. Davis, Elizabeth DiGangi, Riley M. Duren, James R. Ehleringer, Clayton Fain, Matthias Falk, Abhinav Guha, Anna Karion, Ralph F. Keeling, Jooil Kim, Natasha L. Miles, Charles E. Miller, Sally Newman, Diane E. Pataki, Steve PrinzivalliXinrong Ren, Andrew Rice, Scott J. Richardson, Maryann Sargent, Britton B. Stephens, Jocelyn C. Turnbull, Kristal R. Verhulst, Felix Vogel, Ray F. Weiss, James Whetstone, Steven C. Wofsy

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Urban regions emit a large fraction of anthropogenic emissions of greenhouse gases (GHG) such as carbon dioxide (CO2) and methane (CH4) that contribute to modern-day climate change. As such, a growing number of urban policymakers and stakeholders are adopting emission reduction targets and implementing policies to reach those targets. Over the past two decades research teams have established urban GHG monitoring networks to determine how much, where, and why a particular city emits GHGs, and to track changes in emissions over time. Coordination among these efforts has been limited, restricting the scope of analyses and insights. Here we present a harmonized data set synthesizing urban GHG observations from cities with monitoring networks across North America that will facilitate cross-city analyses and address scientific questions that are difficult to address in isolation.

Original languageEnglish (US)
Article number361
JournalScientific Data
Volume9
Issue number1
DOIs
StatePublished - Dec 2022

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'A multi-city urban atmospheric greenhouse gas measurement data synthesis'. Together they form a unique fingerprint.

Cite this