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 Carbon Cycle And Ecosystems: People
Anthony  Bloom's Picture
Jet Propulsion Laboratory
M/S 233-200
4800 Oak Grove Drive
Pasadena, CA 91109
(818) 354-5952
Curriculum Vitae:

Anthony Bloom

The terrestrial biosphere is a fascinating yet poorly resolved component of the Earth’s carbon cycle. My primary interests are to resolve global-scale terrestrial carbon cycle processes and their influence on carbon exchanges between the atmosphere and the terrestrial biosphere. My PhD focus was to quantify biospheric CH4 emissions based on satellite datasets of atmospheric CH4, gravity and leaf area. In my current research I am using models of the carbon cycle and satellite datasets to quantify CO2 and CH4 emissions from wetlands and tropical fires, and the broader terrestrial biosphere.

  • PhD, Satellite-Based Estimation of Global Biogenic Methane Emissions, University of Edinburgh (UK) (2011)
  • MRes, Physics of the Earth and Atmosphere, University of Leeds (UK) (2007)
  • MSci, Earth and Space Science, University College London (UK) (2006)

Research Interests
  • Wetlands and the global CH4 budget
  • Biomass burning CH4, CO and CO2 emissions
  • Terrestrial carbon cycling

Professional Experience
  • Research Scientist at JPL, (2016 - present)
  • Caltech Postdoctoral Scholar at JPL, (2014 - 2016)
  • Post-Doctoral Research Associate in Terrestrial Carbon Cycling. University of Edinburgh (UK), (2011-2014)

Selected Publications
  1. Exbrayat J-F, Bloom AA, et al. (2019). Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects. Surveys in Geophysics, 1-21.
  2. Exbrayat, J-F, Smallman TL, Bloom AA, et al. (2018). Inverse determination of the influence of fire on vegetation carbon turnover in the pantropics. Global Biogeochemical Cycles, 32(12), 1776-1789.
  3. Wang Y, et al., inc. Bloom AA (2018). GOLUM-CNP v1. 0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes. Geoscientific Model Development, 11(9), 3903-3928.
  4. Sheng J, et al., inc. Bloom AA (2018). 2010-2016 methane trends over Canada, the United States, and Mexico observed by the GOSAT satellite: contributions from different source sectors. Atmospheric Chemistry and Physics, 18(16), 12257-12267.
  5. Liu J, Bowman KW, Parazoo N, Bloom, AA, et al (2018). Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations. Environmental Research Letters.
  6. Jeong SJ, Bloom AA, et al. (2018): Accelerating rates of Arctic carbon cycling revealed by long-term atmospheric CO2 measurements. Science advances, 4(7), eaao1167.
  7. Parker RJ, et al., inc Bloom AA (2018). Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH 4 observations. Remote Sensing of Environment, 211, 261-275.
  8. Treat CC, Bloom AA, et al. (2018): Nongrowing season methane emissions-a significant component of annual emissions across northern ecosystems. Global change biology 24(8) 3331-3343.
  9. Exbrayat JF, Bloom AA, et al. (2018). Reliability ensemble averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties. Earth System Dynamics, 9(1), 153-165.
  10. Sheng J, et al., inc Bloom AA (2018): 2010-2016 methane trends over Canada, the United States, and Mexico observed by the GOSAT satellite: contributions from different source sectors, Atmospheric Chemistry and Physics, 18, 12257-12267.
  11. Sheng J, et al., inc Bloom AA (2018). High-resolution inversion of methane emissions in the Southeast US using SEAC4RS aircraft observations of atmospheric methane: anthropogenic and wetland sources. Atmospheric Chemistry and Physics, 18, 6483-6491.
  12. Solomonidou A, et al., inc Bloom AA (2018). The Spectral Nature of Titan's Major Geomorphological Units: Constraints on Surface Composition. Journal of Geophysical Research: Planets, 123(2), 489-507.
  13. Bloom AA, et al. (2017): A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0), Geoscientific Model Development, 10, 2141-2156.
  14. Liu J, Bowman KW, et al., inc. Bloom AA (2017). Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Niño. Science, 358(6360), eaam5690.
  15. Slevin D, et al., inc. Bloom AA (2017). Global evaluation of gross primary productivity in the JULES land surface model v3. 4.1. Geoscientific Model Development, 10(7), 2651-2670.
  16. Worden, JR, Bloom AA, et al. (2017): Reduced biomass burning emissions reconcile conflicting estimates of the post-2006 atmospheric methane budget. Nature communications, 8(1), 2227.
  17. Smallman TL, et al., inc Bloom AA (2017). Assimilation of repeated woody biomass observations constrains decadal ecosystem carbon cycle uncertainty in aggrading forests. Journal of Geophysical Research: Biogeosciences, 122(3), 528-545.
  18. Bowman KW, Liu J, Bloom AA et al. (2017) Global and Brazilian carbon response to El Niño Modoki 2011-2010. Earth and Space Science, 4(10), 637-660.
  19. Bloom AA, et al. (2016) What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH4 emissions as a case study. Atmospheric Chemistry and Physics, 16: 15199-15218.
  20. Maasakkers JD., et al., inc. Bloom AA (2016) Gridded national inventory of US methane emissions. Environmental Science & Technology, 50 (23): 13123-13133.
  21. Wilson C, et al., inc. Bloom AA (2016) Contribution of regional sources to atmospheric methane over the Amazon Basin in 2010 and 2011. Global Biogeochemical Cycles, 30 (3), 400-420.
  22. Bloom AA, et al. (2016) The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times. Proceedings of the National Academy of Sciences: 113 (5) 1285-1290;
  23. Revill A, Bloom AA, Williams M (2016) Impacts of reduced model complexity and driver resolution on cropland ecosystem photosynthesis estimates. Field Crops Research 187: 74-86.
  24. Worden JR, Turner AJ, Bloom A, et al. (2015) Quantifying lower tropospheric methane concentrations using GOSAT near-IR and TES thermal IR measurements. Atmospheric Measurement Techniques 8: 3433-3445.
  25. Bloom AA, et al. (2015) Remote sensing constraints on South America fire traits by Bayesian fusion of atmospheric and surface data. Geophysical Research Letters 42(4): 1268-1274.
  26. Bloom AA, Williams M. (2015) Constraining ecosystem carbon dynamics in a data-limited world: integrating ecological "common sense" in a model-data fusion framework. Biogeosciences 12: 1299-1315.
  27. Clare A, Simon S, Joseph S, Hammond J, Pan G, Bloom A. (2014) Competing uses for China's straw: the economic and carbon abatement potential of biochar. GCB Bioenergy 7: 1272-1282.
  28. Hill TC, Williams M, Bloom AA, Mitchard ETA, Ryan CM (2013) Are inventory based and remotely sensed above-ground biomass estimates consistent? PloS one 8 (9): e74170.
  29. Bloom AA, et al. (2012) Seasonal variability of tropical wetland CH4 emissions: the role of the methanogen-available carbon pool. Biogeosciences 9: 2821-2830.
  30. Bloom AA, et al. (2010) Global methane emission estimates from ultraviolet irradiation of terrestrial plant foliage. New Phytologist 187(2): 417-425.
  31. Bloom AA, et al. (2010) Large-scale controls of methanogenesis inferred from methane and gravity spaceborne data. Science 327(5963): 322-325.
  32. Brooks IM, et al., inc. Bloom AA (2009) Physical exchanges at the air-sea interface: UK-SOLAS Field Measurements. Bulletin of the American Meteorological Society 90(5): 629-644.
  33. Bloom A, et al. (2008) Climate change impact of wind energy availability in the Eastern Mediterranean using the regional climate model PRECIS." Nat. Hazards and Earth Sys. Sci. (8): 1249-1257.

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