Skip to main content
4-D Modeling of the Regional Carbon Cycle in and Around Urban Environments: An Interdisciplinary Study to Advance Observational and Modeling Foundations
Project Start Date
01/01/2013
Project End Date
01/01/2016
Grant Number
ROSES-2010 NNH11ZDA001N-IDS
Region
Solicitation

Team Members:

Person Name Person role on project Affiliation
Mark Friedl Principal Investigator Boston University, Boston, USA
Lucy Hutyra Collaborator Boston University, Boston, United States
Curtis Woodcock Collaborator Boston University, Boston, USA
Steve Wofsy Collaborator
Kelly Chance Collaborator
Abstract

Urban areas represent a critical gap in current measurement networks and modeling frameworks that must be addressed to improve understanding of human impacts on the global environment, for climate prediction, and for treaty verification. Nearly threequarters of anthropogenic greenhouse gas (GHG) emissions are attributable to cities, but most efforts to study atmospheric and terrestrial carbon dynamics avoid urbanized areas. Measurement networks, analytical techniques, and basic understanding of carbon cycle processes in and around urban areas are currently not able to characterize urban carbon sources and sinks or to define the influence of urban ecosystems and the urban complex on regional atmospheric composition. The research described in this proposal addresses sub-element 2 of solicitation NNH11ZDA001N-IDS in NASA ROSES 2011 (Interdisciplinary Research in Earth Sciences ), which requests proposals that address the impacts of urbanization on the environment. Specifically, we propose to develop and implement an interdisciplinary measurement and modeling framework that combines explicit treatment of urban emission sources, urban ecology, atmospheric transport of GHGs, and land cover change dynamics in a comprehensive treatment of carbon flows in and around densely populated regions. Using southern New England and the New York to Boston corridor as our domain, we will integrate remote sensing data, surface GHG observations, atmospheric transport models, and high resolution models of biogenic and anthropogenic sources and sinks to characterize GHG emissions and quantitatively link emissions to source processes and socioeconomic drivers over our study domain. As part of our analysis we will explore the role of historical land cover change on regional carbon budgets, and develop remote sensing and in-situ data sets in support of model development and validation. The proposed research will include three main elements: (1) modeling and analysis of past land use and land cover change impacts on regional carbon budgets using the Landsat archive in association with a terrestrial carbon model (2) analysis and modeling of contemporary carbon budgets using a combination of surface measurements and high vertical, horizontal, and temporal resolution column estimates for GHGs using an invertible atmospheric transport model and (3) field and remote sensing observations of carbon stocks and fluxes derived from ground measurements and satellite-based remote sensing assets. The results from this project will provide a novel framework for characterizing and modeling carbon and GHG dynamics in and around urban areas, and will advance our ability to understand and model the effects of urban and suburban land use and land cover changes on regional carbon budgets. Our model framework directly connects drivers of emissions (transportation, home heating, electricity generation) to emissions and atmospheric concentrations in the urban dome and downwind. The models and observations developed in this work will be transferable to other urban areas and will provide a powerful new tool for validating measurements of the urban CO2 column derived from NASA s Orbiting Carbon Observatory (OCO-2), for using OCO-2 data for scientific studies and policy analysis in the urban domain, and for verification of greenhouse gas agreements and treaties

Project Research Area

Project Documents

Year Authors Type Title
2017 Publications Wang, J. A., Hutyra, L. R., Li, D., and M.A. Friedl, 2017. Gradients of atmospheric temperature and humidity controlled by local urban land use intensity in Boston. Journal of Applied Meteorology and Climatology, vol 56, pp. 817-831
2017 Publications Hardiman, B.S., J.A. Wang, L.R. Hutyra, C.K. Gately, J.M. Getson, and M.A. Friedl, 2017. Accounting for urban biogenic fluxes in regional carbon budgets, Science of the Total Environment, vol 592, pp. 366-373. DOI: 10.1016/j.scitotenv.2017.03.028
2016 Publications Reinmann, A.B., Hutyra, L.R., Trlica, A., Olofsson, P. Assessing the global warming potential of human settlement expansion in a mesic temperate landscape from 2005 to 2050. Science of the Total Environment, 546-546: 512-524, 2016.
2016 Pontus Olofsson Eric Bullock Publications Olofsson, P., Holden, C.E., Bullock, E.L., and C.E. Woodcock 2016. Time series analysis of satellite data reveals continuous deforestation of New England since the 1980s. Environmental Research Letters, Environ. Res. Lett. 11 064002
2015 Publications McKain, K., Down, A., Raciti, S., Budney, J., Hutyra, L.R., Floerchinger, C., Herdon, S., Zahniser, M., Nehrkorn, T., Jackson, R.B., Phillips, N., Wofsy, S.C., Methane Emissions from Natural Gas in the Urban Region of Boston, Massachusetts. Proceedings of the National Academy of Sciences of the United States of America 112: 1941-1946, 2015.
2015 Publications Gately, C., Hutyra, L.R., Sue Wing, I. Cities, traffic, and CO2: A multidecadal assessment of trends, drivers, and scaling relationships. Proceedings of the National Academy of Sciences of the United States of America, 112 (16): 4999-5004, 2015.
2015 Publications Briber, B., Hutyra, L.R., Reinmann, A.B., Raciti, S.M., Dearborn, V., Holden, C.E., Dunn, A.L., Enhanced tree growth rates following conversion from forested to urban land uses. Plos One 10(8): e0136237, 2015.
2014 Lucy Hutyra Publications Hutyra, L.R., Duren, R., Gurney, K., Grimm, N.B., Kort, E., Larson, E., Shrestha, G., Urbanization and the carbon cycle: Current capabilities and future outlook on observing and modeling urban carbon flows. Earth’s Future, 2(10): 473-495, 2014.