Published February 28, 2024 | Version v1

Irrigation-induced Urban Biogenic Carbon Exchange simulated by WRF-UBC

  • 1. Discovery Partners Institute, University of Illinois System
  • 2. ROR icon Arizona State University
  • 3. ROR icon University of Oklahoma

Description

This dataset is produced using the Weather Research and Forecast-Urban Biogenic Carbon (WRF-UBC) model, with a spatial coverage of CONUS urbanized areas and a temporal coverage of the summer months in 2013. This dataset can be used, as an example, to replicate the major research results presented in the journal article: The Potential of Urban Irrigation for Counteracting Carbon-Climate Feedback, authored by Peiyuan Li, Zhihua Wang, and Chenghao Wang. 

 

Original abstract: 

Global climate changes, especially the rise of global mean temperature due to the increased carbon dioxide (CO2) concentration, can, in turn, result in higher anthropogenic and biogenic greenhouse gas emissions. This potentially leads to a positive loop of climate–carbon feedback in the Earth’s climate system, which calls for sustainable environmental strategies that can mitigate both heat and carbon emissions, such as urban greening. In this study, we investigate the impact of urban irrigation over green spaces on ambient temperatures and CO2 exchange across major cities in the contiguous United States. Our modeling results indicate that the carbon release from urban ecosystem respiration is reduced by evaporative cooling in humid climate, but promoted in arid/semi-arid regions due to increased soil moisture. The irrigation-induced environmental co-benefit in heat and carbon mitigation is, in general, positively correlated with urban greening fraction and has the potential to help counteract climate–carbon feedback in the built environment.

 

Files

Gridded_dGPPu.csv

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Additional details

Funding

U.S. National Science Foundation
Collaborative Research: Geoengineering of Urban Green Infrastructure to Improve Outdoor Livability 2028868
U.S. National Science Foundation
Critical Aspects of Sustainability (CAS)-Climate: Actionable Heat and Carbon Mitigation by Urban Greening--Integrating Physical Modeling and Machine Learning for Decision Support AGS-2300548
National Aeronautics and Space Administration
Connecting Urbanization to Patterns of Heat and Precipitation Risk: Linking Mechanistic Understanding to Quantification by Remote Sensing 80NSSC20K1263