Collaborators | Riley Duren

Riley Duren

Collaborator
Carbon Mapper

Google Scholar

Riley Duren is Chief Executive Officer of Carbon Mapper, a non-profit organization focused on delivering precise and transparent methane and carbon dioxide data to guide emissions mitigation action. Since 2010 he has led research efforts to develop and test multi-scale monitoring systems that support quantification and mitigation of greenhouse gas emissions including serving as principal investigator for multiple projects funded by NASA, NIST and California agencies.

Education

  • BS in Electrical Engineering | Auburn University | 1991

Professional Experience

  • 2020 – present Chief Executive Officer, Carbon Mapper
  • 2019 – present Research Scientist, University of Arizona
  • 2017 – 2023 Engineering Fellow, JPL
  • 2008 – 2019 Chief Systems Engineer, Earth Science Directorate, JPL
  • 2002 – 2009 Chief Engineer, Kepler mission, JPL
  • 2000 – 2002 Instrument System Engineer, Starlight mission, JPL
  • 1996 – 2000 Metrology System Engineer, Shuttle Radar Topography Mission, JPL
  • 1988 – 1995 Payload Integration Engineer, NASA Kennedy Space Center

Closing tropical data gaps to resolve global carbon-budget uncertainties

References

Ayasse, A. K., Dennison, P. E., Foote, M., Thorpe, A. K., Joshi, S., Green, R. O., et al. (2019). Methane mapping with future satellite imaging spectrometers. REMOTE SENSING, 11(24). https://doi.org/10.3390/rs11243054
Ayasse, A. K., Thorpe, A. K., Cusworth, D. H., Kort, E. A., Negron, A. G., Heckler, J., et al. (2022). Methane remote sensing and emission quantification of offshore shallow water oil and gas platforms in the gulf of mexico. ENVIRONMENTAL RESEARCH LETTERS, 17(8). https://doi.org/10.1088/1748-9326/ac8566
Ayasse, A. K., Cusworth, D., O’Neill, K., Fisk, J., Thorpe, A. K., & Duren, R. (2023). Performance and sensitivity of column-wise and pixel-wise methane retrievals for imaging spectrometers. ATMOSPHERIC MEASUREMENT TECHNIQUES, 16(24), 6065–6074. https://doi.org/10.5194/amt-16-6065-2023
Bloom, A. A., Lauvaux, T., Worden, J., Yadav, V., Duren, R., Sander, S. P., & Schimel, D. S. (2016). What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study. ATMOSPHERIC CHEMISTRY AND PHYSICS, 16(23), 15199–15218. https://doi.org/10.5194/acp-16-15199-2016
Borchardt, J., Gerilowski, K., Krautwurst, S., Bovensmann, H., Thorpe, A. K., Thompson, D. R., et al. (2021). Detection and quantification of CH<sub>4</sub> plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data. ATMOSPHERIC MEASUREMENT TECHNIQUES, 14(2), 1267–1291. https://doi.org/10.5194/amt-14-1267-2021
Carranza, V., Rafiq, T., Frausto-Vicencio, I., Hopkins, F. M., Verhulst, K. R., Rao, P., et al. (2018). Vista-LA: Mapping methane-emitting infrastructure in the los angeles megacity. EARTH SYSTEM SCIENCE DATA, 10(1), 653–676. https://doi.org/10.5194/essd-10-653-2018
Ciais, P., Dolman, A. J., Bombelli, A., Duren, R., Peregon, A., Rayner, P. J., et al. (2014). Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system. BIOGEOSCIENCES, 11(13), 3547–3602. https://doi.org/10.5194/bg-11-3547-2014
Cui, Y. Y., Vijayan, A., Falk, M., Hsu, Y.-K., Yin, D., Chen, X. M., et al. (2019). A multiplatform inversion estimation of statewide and regional methane emissions in california during 2014-2016. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 53(16), 9636–9645. https://doi.org/10.1021/acs.est.9b01769
Cusworth, D. H., Jacob, D. J., Varon, D. J., Miller, C. C., Liu, X., Chance, K., et al. (2019). Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space. ATMOSPHERIC MEASUREMENT TECHNIQUES, 12(10), 5655–5668. https://doi.org/10.5194/amt-12-5655-2019
Cusworth, D. H., Duren, R. M., Yadav, V., Thorpe, A. K., Verhulst, K., Sander, S., et al. (2020). Synthesis of methane observations across scales: Strategies for deploying a multitiered observing network. GEOPHYSICAL RESEARCH LETTERS, 47(7). https://doi.org/10.1029/2020GL087869
Cusworth, D. H., Duren, R. M., Thorpe, A. K., Tseng, E., Thompson, D., Guha, A., et al. (2020). Using remote sensing to detect, validate, and quantify methane emissions from california solid waste operations. ENVIRONMENTAL RESEARCH LETTERS, 15(5). https://doi.org/10.1088/1748-9326/ab7b99
Cusworth, D. H., Duren, R. M., Thorpe, A. K., Olson-Duvall, W., Heckler, J., Chapman, J. W., et al. (2021). Intermittency of large methane emitters in the permian basin. ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, 8(7), 567–573. https://doi.org/10.1021/acs.estlett.1c00173
Cusworth, D. H., Duren, R. M., Thorpe, A. K., Pandey, S., Maasakkers, J. D., Aben, I., et al. (2021). Multisatellite imaging of a gas well blowout enables quantification of total methane emissions. GEOPHYSICAL RESEARCH LETTERS, 48(2). https://doi.org/10.1029/2020GL090864
Cusworth, D. H., Duren, R. M., Thorpe, A. K., Eastwood, M. L., Green, R. O., Dennison, P. E., et al. (2021). Quantifying global power plant carbon dioxide emissions with imaging spectroscopy. AGU ADVANCES, 2(2). https://doi.org/10.1029/2020AV000350
Cusworth, D. H., Thorpe, A. K., Ayasse, A. K., Stepp, D., Heckler, J., Asner, G. P., et al. (2022). Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the united states. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 119(38). https://doi.org/10.1073/pnas.2202338119
Cusworth, D. H., Thorpe, A. K., Miller, C. E., Ayasse, A. K., Jiorle, R., Duren, R. M., et al. (2023). Two years of satellite-based carbon dioxide emission quantification at the world&apos;s largest coal-fired power plants. ATMOSPHERIC CHEMISTRY AND PHYSICS, 23(22), 14577–14591. https://doi.org/10.5194/acp-23-14577-2023
Duren, R. M., Thorpe, A. K., Foster, K. T., Rafiq, T., Hopkins, F. M., Yadav, V., et al. (2019). California’s methane super-emitters. NATURE, 575(7781), 180+. https://doi.org/10.1038/s41586-019-1720-3
Ehret, T., De Truchis, A., Mazzolini, M., Morel, J.-M., d’Aspremont, A., Lauvaux, T., et al. (2022). Global tracking and quantification of oil and gas methane emissions from recurrent <i>sentinel-2</i> imagery. ENVIRONMENTAL SCIENCE & TECHNOLOGY. https://doi.org/10.1021/acs.est.1c08575
Foote, M. D., Dennison, P. E., Sullivan, P. R., O’Neill, K. B., Thorpe, A. K., Thompson, D. R., et al. (2021). Impact of scene-specific enhancement spectra on matched filter greenhouse gas retrievals from imaging spectroscopy. REMOTE SENSING OF ENVIRONMENT, 264. https://doi.org/10.1016/j.rse.2021.112574
Guha, A., Newman, S., Fairley, D., Dinh, T. M., Duca, L., Conley, S. C., et al. (2020). Assessment of regional methane emission inventories through airborne quantification in the san francisco bay area. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 54(15), 9254–9264. https://doi.org/10.1021/acs.est.0c01212
Gurney, K. R., Patarasuk, R., Liang, J., Song, Y., O’Keeffe, D., Rao, P., et al. (2019). The hestia fossil fuel CO<sub>2</sub> emissions data product for the los angeles megacity (hestia-LA). EARTH SYSTEM SCIENCE DATA, 11(3), 1309–1335. https://doi.org/10.5194/essd-11-1309-2019
He, L., Zeng, Z.-C., Pongetti, T. J., Wone, C., Liang, J., Gurney, K. R., et al. (2019). Atmospheric methane emissions correlate with natural gas consumption from residential and commercial sectors in los angeles. GEOPHYSICAL RESEARCH LETTERS, 46(14), 8563–8571. https://doi.org/10.1029/2019GL083400
Hmiel, B., Lyon, D. R., Warren, J. D., Yu, J., Cusworth, D. H., Duren, R. M., & Hamburg, S. P. (2023). Empirical quantification of methane emission intensity from oil and gas producers in the permian basin. ENVIRONMENTAL RESEARCH LETTERS, 18(2). https://doi.org/10.1088/1748-9326/acb27e
Hopkins, F. M., Ehleringer, J. R., Bush, S. E., Duren, R. M., Miller, C. E., Lai, C.-T., et al. (2016). Mitigation of methane emissions in cities: How new measurements and partnerships can contribute to emissions reduction strategies. EARTHS FUTURE, 4(9), 408–425. https://doi.org/10.1002/2016EF000381
Hulley, G. C., Duren, R. M., Hopkins, F. M., Hook, S. J., Vance, N., Guillevic, P., et al. (2016). High spatial resolution imaging of methane and other trace gases with the airborne hyperspectral thermal emission spectrometer (HyTES). ATMOSPHERIC MEASUREMENT TECHNIQUES, 9(5), 2393–2408. https://doi.org/10.5194/amt-9-2393-2016
Hutyra, L. R., Duren, R., Gurney, K. R., Grimm, N., Kort, E. A., Larson, E., & Shrestha, G. (2014). Urbanization and the carbon cycle: Current capabilities and research outlook from the natural sciences perspective. EARTHS FUTURE, 2(10), 473–495. https://doi.org/10.1002/2014EF000255
Irakulis-Loitxate, I., Guanter, L., Liu, Y.-N., Varon, D. J., Maasakkers, J. D., Zhang, Y., et al. (2021). Satellite-based survey of extreme methane emissions in the permian basin. SCIENCE ADVANCES, 7(27). https://doi.org/10.1126/sciadv.abf4507
Jacob, D. J., Varon, D. J., Cusworth, D. H., Dennison, P. E., Frankenberg, C., Gautam, R., et al. (2022). Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane. ATMOSPHERIC CHEMISTRY AND PHYSICS, 22(14), 9617–9646. https://doi.org/10.5194/acp-22-9617-2022
Jongaramrungruang, S., Frankenberg, C., Matheou, G., Thorpe, A. K., Thompson, D. R., Kuai, L., & Duren, R. M. (2019). Towards accurate methane point-source quantification from high-resolution 2-d plume imagery. ATMOSPHERIC MEASUREMENT TECHNIQUES, 12(12), 6667–6681. https://doi.org/10.5194/amt-12-6667-2019
Keremedjiev, M. S., Haag, J., Shivers, S., Guido, J., Roth, K., Nallapu, R. T., et al. (2022). Carbon mapper phase 1: Two upcoming VNIR-SWIR hyperspectral imaging satellites. In M. Velez-Reyes & D. Messinger (Eds.), ALGORITHMS, TECHNOLOGIES, AND APPLICATIONS FOR MULTISPECTRAL AND HYPERSPECTRAL IMAGING XXVIII (Vol. 12094). SPIE. https://doi.org/10.1117/12.2632547
Kuai, L., Worden, J. R., Li, K.-F., Hulley, G. C., Hopkins, F. M., Miller, C. E., et al. (2016). Characterization of anthropogenic methane plumes with the hyperspectral thermal emission spectrometer (HyTES): A retrieval method and error analysis. ATMOSPHERIC MEASUREMENT TECHNIQUES, 9(7), 3165–3173. https://doi.org/10.5194/amt-9-3165-2016
Lauvaux, T., Giron, C., Mazzolini, M., d’Aspremont, A., Duren, R., Cusworth, D., et al. (2022). Global assessment of oil and gas methane ultra-emitters. SCIENCE, 375(6580), 557+. https://doi.org/10.1126/science.abj4351
Mitchell, L. E., Lin, J. C., Hutyra, L. R., Bowling, D. R., Cohen, R. C., Davis, K. J., et al. (2022). A multi-city urban atmospheric greenhouse gas measurement data synthesis. SCIENTIFIC DATA, 9(1). https://doi.org/10.1038/s41597-022-01467-3
Rafiq, T., Duren, R. M., Thorpe, A. K., Foster, K., Patarsuk, R., Miller, C. E., & Hopkins, F. M. (2020). Attribution of methane point source emissions using airborne imaging spectroscopy and the vista-california methane infrastructure dataset. ENVIRONMENTAL RESEARCH LETTERS, 15(12). https://doi.org/10.1088/1748-9326/ab9af8
Thompson, D. R., Thorpe, A. K., Frankenberg, C., Green, R. O., Duren, R., Guanter, L., et al. (2016). Space-based remote imaging spectroscopy of the aliso canyon CH<sub>4</sub> superemitter. GEOPHYSICAL RESEARCH LETTERS, 43(12), 6571–6578. https://doi.org/10.1002/2016GL069079
Thompson, David R., Bue, B. D., Duren, R., Elder, C. D., Frankenberg, C., Green, R. O., et al. (2020). REGIONAL SURVEYS OF CH<sub>4</sub> POINT SOURCES ACROSS NORTH AMERICA: CAMPAIGNS, ALGORITHMS, AND RESULTS. In IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (pp. 3955–3958). Inst Elect & Elect Engineers; Inst Elect & Elect Engineers Geoscience & Remote Sensing Soc. https://doi.org/10.1109/IGARSS39084.2020.9323285
Thorpe, Andrew K., Frankenberg, C., Thompson, D. R., Duren, R. M., Aubrey, A. D., Bue, B. D., et al. (2017). Airborne DOAS retrievals of methane, carbon dioxide, and water vapor concentrations at high spatial resolution: Application to AVIRIS-NG. ATMOSPHERIC MEASUREMENT TECHNIQUES, 10(10), 3833–3850. https://doi.org/10.5194/amt-10-3833-2017
Thorpe, Andrew K., Duren, R. M., Conley, S., Prasad, K. R., Bue, B. D., Yadav, V., et al. (2020). Methane emissions from underground gas storage in california. ENVIRONMENTAL RESEARCH LETTERS, 15(4). https://doi.org/10.1088/1748-9326/ab751d
Thorpe, Andrew K., O’Handley, C., Emmitt, G. D., DeCola, P. L., Hopkins, F. M., Yadav, V., et al. (2021). Improved methane emission estimates using AVIRIS-NG and an airborne doppler wind lidar. REMOTE SENSING OF ENVIRONMENT, 266. https://doi.org/10.1016/j.rse.2021.112681
Thorpe, Andrew K., Green, R. O., Thompson, D. R., Brodrick, P. G., Chapman, J. W., Elder, C. D., et al. (2023). Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space. SCIENCE ADVANCES, 9(46). https://doi.org/10.1126/sciadv.adh2391
Thorpe, A. K., Kort, E. A., Cusworth, D. H., Ayasse, A. K., Bue, B. D., Yadav, V., et al. (2023). Methane emissions decline from reduced oil, natural gas, and refinery production during COVID-19d. ENVIRONMENTAL RESEARCH COMMUNICATIONS, 5(2). https://doi.org/10.1088/2515-7620/acb5e5
Verhulst, K. R., Karion, A., Kim, J., Salameh, P. K., Keeling, R. F., Newman, S., et al. (2017). Carbon dioxide and methane measurements from the los angeles megacity carbon project - part 1: Calibration, urban enhancements, and uncertainty estimates. ATMOSPHERIC CHEMISTRY AND PHYSICS, 17(13), 8313–8341. https://doi.org/10.5194/acp-17-8313-2017
Viatte, C., Lauvaux, T., Hedelius, J. K., Parker, H., Chen, J., Jones, T., et al. (2017). Methane emissions from dairies in the los angeles basin. ATMOSPHERIC CHEMISTRY AND PHYSICS, 17(12), 7509–7528. https://doi.org/10.5194/acp-17-7509-2017
Ware, J., Kort, E. A., Duren, R., Mueller, K. L., Verhulst, K., & Yadav, V. (2019). Detecting urban emissions changes and events with a near-real-time-capable inversion system. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 124(9), 5117–5130. https://doi.org/10.1029/2018JD029224
Wong, C. K., Pongetti, T. J., Oda, T., Rao, P., Gurney, K. R., Newman, S., et al. (2016). Monthly trends of methane emissions in los angeles from 2011 to 2015 inferred by CLARS-FTS observations. ATMOSPHERIC CHEMISTRY AND PHYSICS, 16(20), 13121–13130. https://doi.org/10.5194/acp-16-13121-2016
Wong, K. W., Fu, D., Pongetti, T. J., Newman, S., Kort, E. A., Duren, R., et al. (2015). Mapping CH<sub>4</sub> : CO<sub>2</sub> ratios in los angeles with CLARS-FTS from mount wilson, california. ATMOSPHERIC CHEMISTRY AND PHYSICS, 15(1), 241–252. https://doi.org/10.5194/acp-15-241-2015
Worden, J. R., Cusworth, D. H., Qu, Z., Yin, Y., Zhang, Y., Bloom, A. A., et al. (2022). The 2019 methane budget and uncertainties at 1° resolution and each country through bayesian integration of GOSAT total column methane data and a priori inventory estimates. ATMOSPHERIC CHEMISTRY AND PHYSICS, 22(10), 6811–6841. https://doi.org/10.5194/acp-22-6811-2022
Worden, J. R., Pandey, S., Zhang, Y., Cusworth, D. H., Qu, Z., Bloom, A. A., et al. (2023). Verifying methane inventories and trends with atmospheric methane data. AGU ADVANCES, 4(4). https://doi.org/10.1029/2023AV000871
Yadav, V., Duren, R., Mueller, K., Verhulst, K. R., Nehrkorn, T., Kim, J., et al. (2019). Spatio-temporally resolved methane fluxes from the los angeles megacity. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 124(9), 5131–5148. https://doi.org/10.1029/2018JD030062
Yadav, V., Verhulst, K., Duren, R., Thorpe, A., Kim, J., Keeling, R., et al. (2023). A declining trend of methane emissions in the los angeles basin from 2015 to 2020. ENVIRONMENTAL RESEARCH LETTERS, 18(3). https://doi.org/10.1088/1748-9326/acb6a9
Yu, J., Hmiel, B., Lyon, D. R., Warren, J., Cusworth, D. H., Duren, R. M., et al. (2022). Methane emissions from natural gas gathering pipelines in the permian basin. ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, 9(11), 969–974. https://doi.org/10.1021/acs.estlett.2c00380
Zandbergen, S. R., Duren, R., Giuliano, P., Green, R. O., Haag, J. M., Moore, L. B., et al. (2022). Optical design of the carbon plume mapper (CPM) imaging spectrometer. In E. Ientilucci & C. Bradley (Eds.), IMAGING SPECTROMETRY XXV: APPLICATIONS, SENSORS, AND PROCESSING (Vol. 12235). SPIE. https://doi.org/10.1117/12.2633767