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CMS Project Publications

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31 Publication(s)

Alonzo, M., Morton, D. C., Cook, B. D., Andersen, H., Babcock, C., Pattison, R. 2017. Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar. Environmental Research Letters. 12(6), 065004. DOI: 10.1088/1748-9326/aa6ade  ( Morton-02  )
Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R., Kasibhatla, P. S., DeFries, R. S., Collatz, G. J., Hantson, S., Kloster, S., Bachelet, D., Forrest, M., Lasslop, G., Li, F., Mangeon, S., Melton, J. R., Yue, C., Randerson, J. T. 2017. A human-driven decline in global burned area. Science. 356(6345), 1356-1362. DOI: 10.1126/science.aal4108  ( Morton-01  )
Baccini, A., Walker, W., Carvalho, L., Farina, M., Sulla-Menashe, D., Houghton, R. A. 2017. Tropical forests are a net carbon source based on aboveground measurements of gain and loss. Science. eaam5962. DOI: 10.1126/science.aam5962  ( Baccini-01  )
Bowman, K. W., Liu, J., Bloom, A. A., Parazoo, N. C., Lee, M., Jiang, Z., Menemenlis, D., Gierach, M. M., Collatz, G. J., Gurney, K. R., Wunch, D. 2017. Global and Brazilian Carbon Response to El Nino Modoki 2011-2010. Earth and Space Science. DOI: 10.1002/2016EA000204  ( Bowman-02  )
Boyda E, Basu S, Ganguly S, Michaelis A, Mukhopadhyay S, et al. (2017) Deploying a quantum annealing processor to detect tree cover in aerial imagery of California. PLOS ONE 12(2): e0172505.  ( Ganguly-01  )
Chakraborty, S., Lohrenz, S. E., Gundersen, K. 2017. Photophysiological and light absorption properties of phytoplankton communities in the river-dominated margin of the northern Gulf of Mexico. Journal of Geophysical Research: Oceans. DOI: 10.1002/2016JC012092  ( Lohrenz-03  Lohrenz-04  Lohrenz-05  Synthesis: Coastal  )
Chen, M., Rafique, R., Asrar, G. R., Bond-Lamberty, B., Ciais, P., Zhao, F., Reyer, C. P. O., Ostberg, S., Chang, J., Ito, A., Yang, J., Zeng, N., Kalnay, E., West, T., Leng, G., Francois, L., Munhoven, G., Henrot, A., Tian, H., Pan, S., Nishina, K., Viovy, N., Morfopoulos, C., Betts, R., Schaphoff, S., Steinkamp, J., Hickler, T. 2017. Regional contribution to variability and trends of global gross primary productivity. Environmental Research Letters. 12(10), 105005. DOI: 10.1088/1748-9326/aa8978  ( Asrar-West-04  )
Cohen, W., Healey, S., Yang, Z., Stehman, S., Brewer, C., Brooks, E., Gorelick, N., Huang, C., Hughes, M., Kennedy, R., Loveland, T., Moisen, G., Schroeder, T., Vogelmann, J., Woodcock, C., Yang, L., Zhu, Z. 2017. How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? Forests. 8(4), 98. DOI: 10.3390/f8040098  ( Cohen-02  )
Deo, R., Russell, M., Domke, G., Andersen, H., Cohen, W., Woodall, C. 2017. Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA. Remote Sensing. 9(6), 598. DOI: 10.3390/rs9060598  ( Cohen-02  )
Dolan, K. A., Hurtt, G., Flanagan, S. A., Fisk, J. P., Sahajpal, R., Huang, C., Le Page, Y., Dubayah, R., Masek, J. G. 2017. Disturbance distance: quantifying forests' vulnerability to disturbance under current and future conditions. Environmental Research Letters. DOI: 10.1088/1748-9326/aa8ea9  ( Hurtt-03  )
EPA, 2017. Inventory of US greenhouse gas emissions and sinks: 1990-2015. Environmental Protection Agency. Chapter 6. Land Use, Land-Use Change, and Forestry  ( Windham-Myers-01  )
Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables. Remote Sensing of Environment. 190, 149-161. DOI: 10.1016/j.rse.2016.12.004  ( Cook-B-01  Cook-B-03  Dubayah-03  Dubayah-04  Hurtt-03  Morton-02  )
Fischer, M. L., Parazoo, N., Brophy, K., Cui, X., Jeong, S., Liu, J., Keeling, R., Taylor, T. E., Gurney, K., Oda, T., Graven, H. 2017. Simulating estimation of California fossil fuel and biosphere carbon dioxide exchanges combining in situ tower and satellite column observations. Journal of Geophysical Research: Atmospheres. DOI: 10.1002/2016JD025617  ( Graven-01  )
Gately, C. K., Hutyra, L. R., Peterson, S., Sue Wing, I. 2017. Urban emissions hotspots: Quantifying vehicle congestion and air pollution using mobile phone GPS data. Environmental Pollution. 229, 496-504. DOI: 10.1016/j.envpol.2017.05.091  ( Nehrkorn-02  )
Hardiman, B. S., Wang, J. A., Hutyra, L. R., Gately, C. K., Getson, J. M., Friedl, M. A. 2017. Accounting for urban biogenic fluxes in regional carbon budgets. Science of The Total Environment. 592, 366-372. DOI: 10.1016/j.scitotenv.2017.03.028  ( Friedl, Mark (11-IDS11-0019)  Nehrkorn-01  )
Hedelius, J. K., Parker, H., Wunch, D., Roehl, C. M., Viatte, C., Newman, S., Toon, G. C., Podolske, J. R., Hillyard, P. W., Iraci, L. T., Dubey, M. K., Wennberg, P. O. 2017. Intercomparability of XCO2 and XCH4 from the United States TCCON sites. Atmospheric Measurement Techniques. 10(4), 1481-1493. DOI: 10.5194/amt-10-1481-2017  ( Dubey-01  )
Hinson, A. L., Feagin, R. A., Eriksson, M., Najjar, R. G., Herrmann, M., Bianchi, T. S., Kemp, M., Hutchings, J. A., Crooks, S., Boutton, T. 2017. The spatial distribution of soil organic carbon in tidal wetland soils of the continental United States. Global Change Biology. DOI: 10.1111/gcb.13811  ( Najjar-01  Windham-Myers-01  )
Itter, M.S., A.O. Finley, A.W. D'Amato, J.R. Foster, and J.B. Bradford. (2017) Variable effects of climate on forest growth in relation to ecosystem state. Ecological Applications, 27, 1082-1095. DOI: 10.1002/eap.1518  ( Hurtt-03  )
Johnson, K. D., Domke, G. M., Russell, M. B., Walters, B., Hom, J., Peduzzi, A., Birdsey, R., Dolan, K., Huang, W. 2017. Estimating aboveground live understory vegetation carbon in the United States. Environmental Research Letters. 12(12), 125010. DOI: 10.1088/1748-9326/aa8fdb  ( Hurtt-03  )
Liu, J., Bowman, K. W., Schimel, D. S., Parazoo, N. C., Jiang, Z., Lee, M., Bloom, A. A., Wunch, D., Frankenberg, C., Sun, Y., O'Dell, C. W., Gurney, K. R., Menemenlis, D., Gierach, M., Crisp, D., Eldering, A. 2017. Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Nino. Science. 358(6360), eaam5690. DOI: 10.1126/science.aam5690  ( Bowman-02  )
Noojipady, P., Morton, C. D., Macedo, N. M., Victoria, C. D., Huang, C., Gibbs, K. H., Bolfe, L. E. 2017. Forest carbon emissions from cropland expansion in the Brazilian Cerrado biome. Environmental Research Letters. 12(2), 025004. DOI: 10.1088/1748-9326/aa5986  ( Morton-01  )
Propp, Adrienne M., "MethaneSat: Detecting Methane Emissions from the Barnett Shale Region", Senior Thesis in Applied Mathematic, Harvard Paulson School of Engineering and Applied Science, 2017, 83pp.  ( Nehrkorn-02  )
Sheng, J., Jacob, D. J., Maasakkers, J. D., Sulprizio, M. P., Zavala-Araiza, D., Hamburg, S. P. 2017. A high-resolution (0.1deg x 0.1deg) inventory of methane emissions from Canadian and Mexican oil and gas systems. Atmospheric Environment. 158, 211-215. DOI: 10.1016/j.atmosenv.2017.02.036  ( Jacob-02  )
Shiga, Y. P., Tadic, J. M., Qiu, X., Yadav, V., Andrews, A. E., Berry, J. A., Michalak, A. M. 2017. Atmospheric CO2 observations reveal strong correlation between regional net biospheric carbon uptake and solar induced chlorophyll fluorescence. Geophysical Research Letters. DOI: 10.1002/2017GL076630  ( Andrews-02  Michalak-04  Michalak-06  )
Treuhaft, R., Lei, Y., Goncalves, F., Keller, M., Santos, J., Neumann, M., Almeida, A. 2017. Tropical-Forest Structure and Biomass Dynamics from TanDEM-X Radar Interferometry. Forests. 8(8), 277. DOI: 10.3390/f8080277  ( Treuhaft-02  )
Turner, A. J., Frankenberg, C., Wennberg, P. O., Jacob, D. J. 2017. Ambiguity in the causes for decadal trends in atmospheric methane and hydroxyl. Proceedings of the National Academy of Sciences. 114(21), 5367-5372. DOI: 10.1073/pnas.1616020114  ( Jacob-02  )
Vargas, R., Alcaraz-Segura, D., Birdsey, R., Brunsell, N. A., Cruz-Gaistardo, C. O., de Jong, B., Etchevers, J., Guevara, M., Hayes, D. J., Johnson, K., Loescher, H. W., Paz, F., Ryu, Y., Sanchez-Mejia, Z., Toledo-Gutierrez, K. P. 2017. Enhancing interoperability to facilitate implementation of REDD+: case study of Mexico. Carbon Management. 8(1), 57-65. DOI: 10.1080/17583004.2017.1285177  ( Vargas-01  Vargas-02  )
Windham-Myers, L., T. Troxler, and S. Crooks (eds) (accepted, release date December 2017) A Blue Carbon Primer: The State of Coastal Wetland Carbon Science, Practice and Policy. CRC Press, Taylor and Francis Group: Boca Raton, FL  ( Windham-Myers-01  )
Wolf, J., Asrar, G. R., West, T. O. 2017. Revised methane emissions factors and spatially distributed annual carbon fluxes for global livestock. Carbon Balance and Management. 12(1). DOI: 10.1186/s13021-017-0084-y  ( Asrar-West-04  )
Wolfe, G. M., Kawa, S. R., Hanisco, T. F., Hannun, R. A., Newman, P. A., Swanson, A., Bailey, S., Barrick, J., Thornhill, K. L., Diskin, G., DiGangi, J., Nowak, J. B., Sorenson, C., Bland, G., Yungel, J. K., Swenson, C. A. 2017. The NASA Carbon Airborne Flux Experiment (CARAFE): Instrumentation and Methodology. Atmospheric Measurement Techniques Discussions. 1-35. DOI: 10.5194/amt-2017-398  ( Kawa-03  )
Zhang, B., Tian, H., Lu, C., Chen, G., Pan, S., Anderson, C., Poulter, B. 2017. Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets. Atmospheric Environment. 165, 310-321. DOI: 10.1016/j.atmosenv.2017.07.001  ( Lohrenz-04  Lohrenz-05  )