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Anthony Bloom

Photo of Anthony Bloom


4800 Oak Grove Drive
M/S 233-200

Pasadena, CA 91109


(818) 354-5952

Curriculum Vitae:

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Member of:

Water & Ecosystems



Terrestrial ecosystems are a fascinating yet poorly resolved component of the Earth’s water and carbon cycles. My primary interests are to investigate global-scale terrestrial carbon-water cycle processes and their influence on carbon exchanges between the atmosphere and the terrestrial biosphere. My interests include resolving biosphere-atmosphere carbon exchanges by synthesizing satellite-based measurements of land-surface states and fluxes and atmospheric CO2 and CH4 concentrations in an effort to advance understanding of terrestrial ecosystems. To this end, I use Bayesian paradigms to couple biogeochemical models with satellite datasets to resolve the integrated process controls and climate sensitivity terrestrial biosphere, and to ultimately advance knowledge on the role of terrestrial ecosystems in the broader Earth System.


  • 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)

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)

Research Interests

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

Selected Publications

  1. Yang Y, Bloom AA, et al. (2022). CARDAMOM-FluxVal version 1.0: a FLUXNET-based validation system for CARDAMOM carbon and water flux estimates. Geoscientific Model Development, 15(4), pp.1789-1802.
  2. Massoud EC, Bloom AA, et al. (2022) Information content of soil hydrology in a West Amazon watershed as informed by GRACE, Hydrol. Earth Syst. Sci.. in press.
  3. Stettz SG, Parazoo NC, Bloom AA, et al. (2022). Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework. Biogeosciences, 19(2), 541-558.
  4. Lu X, et al., inc Bloom AA (2022). Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH 4 ObsPack) and satellite (GOSAT) atmospheric observations. Atmospheric Chemistry and Physics, 22(1), 395-418.
  5. Baskaran L, Elder C, Bloom AA, et al. (2022). Geomorphological patterns of remotely sensed methane hot spots in the Mackenzie Delta, Canada. Environmental Research Letters, 17(1), p.015009.
  6. Gerlein‐Safdi C, Bloom AA, et al. (2021). Improving representation of tropical wetland methane emissions with CYGNSS inundation maps. Global Biogeochemical Cycles, 35(12), p.e2020GB006890.
  7. Baray S, et al., inc Bloom AA (2021) Estimating 2010–2015 anthropogenic and natural methane emissions in Canada using ECCC surface and GOSAT satellite observations. Atmospheric Chemistry and Physics, 21(23), 18101-18121.
  8. Cusworth DH, Bloom AA, et al., (2021). A Bayesian framework for deriving sector-based methane emissions from top-down fluxes. Communications Earth & Environment, 2(1), pp.1-8.
  9. Qu Z, et al. inc Bloom AA (2021). Global distribution of methane emissions: a comparative inverse analysis of observations from the TROPOMI and GOSAT satellite instruments. Atmospheric Chemistry and Physics, 21(18), pp.14159-14175.
  10. Sheng J, et al., inc Bloom AA (2021). Sustained methane emissions from China after 2012 despite declining coal production and rice-cultivated area. Environmental Research Letters, 16(10), 104018.
  11. Ma S, Worden JR, Bloom AA., et al. (2021) Satellite constraints on the latitudinal distribution and temperature sensitivity of wetland methane emissions. AGU Advances, 2(3), p.e2021AV000408.
  12. Yin Y, et al., inc Bloom AA (2021). Accelerating methane growth rate from 2010 to 2017: leading contributions from the tropics and East Asia. Atmospheric Chemistry and Physics, 21(16), 12631-12647.Lu X, et al. inc. Bloom, AA., (2021): Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) observations, Atmos. Chem. Phys., 21, 4637–4657.
  13. Famiglietti CA, et al., inc Bloom AA (2021): Optimal model complexity for terrestrial carbon cycle prediction, Biogeosciences, 18, 2727–2754.
  14. Maasakkers JD, et al. inc. Bloom AA (2021): 2010–2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane, Atmos. Chem. Phys. 21, 4339–4356.
  15. Zhang Y, et al. inc. Bloom AA (2021): Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations, Atmos. Chem. Phys., 21, 3643–3666, 2021.
  16. Yu X., et al. inc. Bloom AA (2021). Aircraft-based inversions quantify the importance of wetlands and livestock for Upper Midwest methane emissions. Atmospheric Chemistry and Physics, 21(2), 951-971.
  17. Worden J, et al. inc Bloom AA (2021): Satellite Observations of the Tropical Terrestrial Carbon Balance and Interactions with the Water Cycle During the 21st Century. Reviews of Geophysics, p.e2020RG000711.
  18. Liu, J., et al. inc. Bloom AA (2021): Carbon Monitoring System Flux Net Biosphere Exchange 2020, Earth Syst. Sci. Data, 13, 299–330.
  19. Pandey S, et al. inc. Bloom AA (2021). Using satellite data to identify the methane emission controls of South Sudan's wetlands. Biogeosciences, 18(2).557-572.
  20. Bloom AA, et al. (2020) Lagged effects regulate the inter-annual variability of the tropical carbon balance, Biogeosciences, 17, 6393–6422.
  21. Parker RJ, Wilson C, Bloom AA et al. (2020). Exploring constraints on a wetland methane emission ensemble (WetCHARTs) using GOSAT observations. Biogeosciences, 17(22), 5669-5691.
  22. Byrne B, Liu J, Bloom AA, et al. (2020) Contrasting Regional Carbon Cycle Responses to Seasonal Climate Anomalies Across the East‐West Divide of Temperate North America. Global biogeochemical cycles, 34(11), p.e2020GB006598.
  23. Yin Y, Bloom AA, et al. (2020). Fire decline in dry tropical ecosystems enhances decadal land carbon sink. Nature communications, 11(1), pp.1-7.
  24. Madani N, et al., inc. Bloom AA (2020). Below-surface water mediates the response of African forests to reduced rainfall. Environmental Research Letters.
  25. Quetin GR., Bloom AA, et al. (2020) Carbon Flux Variability from a Relatively Simple Ecosystem Model with Assimilated Data is Consistent with Terrestrial Biosphere Model Estimates. Journal of Advances in Modeling Earth Systems
  26. Worden HM, Bloom AA, et al. (2019). New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes. Atmospheric Chemistry and Physics, 19(21), 13569-13579.
  27. Natali SM, et al., inc. Bloom AA (2019). Large loss of CO2 in winter observed across the northern permafrost region. Nature Climate Change, 9(11), 852-857.
  28. Shi M, et al. inc Bloom AA (2019). The 2005 Amazon drought legacy effect delayed the 2006 wet season onset. Geophysical Research Letters, 46(15), 9082-9090.
  29. Yin Y, et al. Bowman K, Bloom AA (2019) Detection of fossil fuel emission trends in the presence of natural carbon cycle variability. Environmental Research Letters (in press)
  30. Konings AG, Bloom AA, et al. (2019) Global satellite-driven estimates of heterotrophic respiration. Biogeosciences 16.11, 2269-2284.
  31. López-Blanco E, et al. inc. Bloom AA (2019) Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system. Earth System Dynamics 10.2 233-255.
  32. Maasakkers JD, et al. inc. Bloom AA (2019) Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015. Atmospheric Chemistry and Physics 19.11 (2019): 7859-7881.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. Maasakkers JD., et al., inc. Bloom AA (2016) Gridded national inventory of US methane emissions. Environmental Science & Technology, 50 (23): 13123–13133.
  53. 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
  54. 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;
  55. 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.
  56. 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
  57. 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.
  58. 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.
  59. 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
  60. 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.
  61. Bloom AA, et al. (2012) Seasonal variability of tropical wetland CH4 emissions: the role of the methanogen-available carbon pool. Biogeosciences 9: 2821-2830.
  62. Bloom AA, et al. (2010) Global methane emission estimates from ultraviolet irradiation of terrestrial plant foliage. New Phytologist 187(2): 417-425.
  63. Bloom AA, et al. (2010) Large-scale controls of methanogenesis inferred from methane and gravity spaceborne data. Science 327(5963): 322-325.
  64. 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.
  65. 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.