A multi-city urban atmospheric greenhouse gas measurement data synthesis
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Published:2022-06-24
Issue:1
Volume:9
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Mitchell Logan E.ORCID, Lin John C.ORCID, Hutyra Lucy R., Bowling David R.ORCID, Cohen Ronald C., Davis Kenneth J., DiGangi Elizabeth, Duren Riley M., Ehleringer James R.ORCID, Fain Clayton, Falk Matthias, Guha Abhinav, Karion AnnaORCID, Keeling Ralph F., Kim JooilORCID, Miles Natasha L., Miller Charles E.ORCID, Newman Sally, Pataki Diane E.ORCID, Prinzivalli Steve, Ren XinrongORCID, Rice Andrew, Richardson Scott J., Sargent Maryann, Stephens Britton B., Turnbull Jocelyn C., Verhulst Kristal R., Vogel FelixORCID, Weiss Ray F., Whetstone James, Wofsy Steven C.ORCID
Abstract
AbstractUrban 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.
Funder
United States Department of Commerce | NOAA | Climate Program Office NASA | Jet Propulsion Laboratory
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Cited by
8 articles.
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