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Dimitris  Menemenlis's Picture
Jet Propulsion Laboratory
M/S 300-323
4800 Oak Grove Drive
Pasadena, CA 91109
818-625-6498 (cell)
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Curriculum Vitae:

Dimitris Menemenlis

  • B.Eng. Honours, McGill University, Montreal, Quebec, Canada (1984)
  • M.A.Sc., Waterloo University, Ontario, Canada (1987)
  • Ph.D., University of Victoria, British Columbia, Canada (1993)

Research Interests

Studies of the global ocean circulation and its interaction with sea ice, land ice, atmosphere, coastal processes, and biogeochemical cycles.


The Estimation of the Circulation and Climate of the Ocean (ECCO) produces estimates of the complete time-evolving state of the ocean by synthesizing nearly all extant observations with state-of-the-art models.

ECCO-IcES is a project that aims to produce increasingly accurate syntheses of all available global-scale ocean and sea-ice data at resolutions that start to resolve ocean eddies.

CMS Flux (Carbon Monitoring System Flux) Icon CMS Flux (Carbon Monitoring System Flux)
Carbon Monitoring System Flux (CMS Flux) incorporates the full suite of NASA observational, modeling, and assimilation capabilities to attribute CO2 climate forcing to spatially resolved emissions.

Professional Experience
  • Research Scientist, Jet Propulsion Laboratory, California Institute of Technology, Pasadena (1998-Present)
  • Research Scientist, Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge (1993-1998)

Selected Awards
  • JPL Section 324 - Climate, Ocean, and Solid Earth Science Team Award (2012)
  • NASA Group Achievement Award for Carbon Monitoring System Flux Pilot Project Team (2013)
  • JPL Section 329 - Earth Science Mariner Award (2014)

Selected Publications
  1. D. Halkides, D. Waliser, T. Lee, D. Menemenlis, and B. Guan, 2015: Quantifying the processes controlling intraseasonal mixed-layer temperature variability in the tropical Indian Ocean. J. Geophys. Res., doi: 10.1002/2014JC010139.
  2. D. Halpern, D. Menemenlis, and X. Wang, 2015: Impact of data assimilation on ECCO2 Equatorial Undercurrent and North Equatorial Countercurrent in the Pacific Ocean. J. Atmos. Ocean Tech., 32, 131-143.
  3. L. Ott, S. Pawson, G. Collatz, W. Gregg, D. Menemenlis, H. Brix, C. Rousseaux, K. Bowman, J. Liu, A. Eldering, M. Gunson, S. Kawa, 2015: Assessing the magnitude of CO2 flux uncertainty in atmospheric CO2 records using products from NASA's Carbon Monitoring Flux Pilot Project. J. Geophys. Res., 120, doi:10.1002/2014JD022411.
  4. J. Whitefield, P. Winsor, J. McClelland, and D. Menemenlis, 2015: A new river discharge and river temperature data set for the pan-Arctic region. Ocean Modelling, doi:10.1016/j.ocemod.2014.12.012.
  5. B. Dushaw and D. Menemenlis, 2014: Antipodal acoustic thermometry: 1960, 2004. Deep-Sea Res. I, 86, 1-20.
  6. J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix, J. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar, 2014: Carbon monitoring system flux estimation and attribution: Impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks. Tellus B, 66, 22486.
  7. B. Dushaw, P. Worcester, M. Dzieciuch, and D. Menemenlis, 2013: On the time-mean state of ocean models and the properties of long-range acoustic propagation. J. Geophys. Res., 118, 4346-4362.
  8. M. Manizza, M. Follows, S. Dutkiewicz, D. Menemenlis, C. Hill, R. Key, 2013: Changes in the Arctic Ocean CO2 sink (1996-2007): A regional model analysis. Global Biogeochem. Cycles, 27, 1108-1118.
  9. R. Reynolds, D. Chelton, J. Roberts, M. Martin, D. Menemenlis, and C. Merchant, 2013: Objective determination of feature resolution in two sea surface temperature analyses. J. Clim., 26, 2514-2533.
  10. Y. Xu, E. Rignot, I. Fenty, D. Menemenlis, and M. Flexas, 2013: Subaqueous melting of Store Glacier, West Greenland from three-dimensional, high-resolution numerical modeling and ocean observations. Geophys. Res. Lett., 40, 4648-4653.

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