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 Oceans and Ice: People
Dimitris  Menemenlis's Picture
Address:
Jet Propulsion Laboratory
M/S 300-323
4800 Oak Grove Drive
Pasadena, CA 91109
Phone:
818.354.1656
818-625-6498 (cell)
Fax:
818.393.6720
Email:
Curriculum Vitae:
Website:

Dimitris Menemenlis

Education
  • 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 of sea-ice and their interaction with atmosphere and with biogeochemical cycles
  • Ocean and sea-ice modeling and state estimation technology
  • High-resolution global-ocean and sea-ice data synthesis

Projects

ECCO Central Production Icon ECCO Central Production
The "Estimating the Circulation and Climate of the Ocean" (ECCO) project produces sustained estimates of the complete global three-dimensional state of the ocean by assimilating observations with ocean circulation models.

ECCO-Ices Icon ECCO-Ices
ECCO-Ices is an ECCO-follow-on 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.

Carbon Monitoring System Flux (CMS Flux) Icon Carbon Monitoring System Flux (CMS 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 Publications
  1. A. Nguyen, D. Menemenlis, and R. Kwok. Arctic ice-ocean simulation with optimized model parameters: approach and assessment. J. Geophys. Res., in press (2011).
  2. M. Losch, D. Menemenlis, P. Heimbach, J. Campin, and C. Hill. On the formulation of sea- ice models. Part 1: Effects of different solver implementations and parameterizations. Ocean Modelling, 33, 129-144 (2010).
  3. P. Heimbach, D. Menemenlis, M. Losch, J. Campin, and C. Hill. On the formulation of sea-ice models. Part 2: Lessons from multi-year adjoint sea ice export sensitivities through the Canadian Arctic Archipelago. Ocean Modelling, 33, 145-158 (2010).
  4. A. Nguyen, D. Menemenlis, and R. Kwok. Improved modeling of the Arctic halocline with a sub-grid-scale brine rejection parameterization. J. Geophys. Res., 114, C11014 (2009).
  5. G. Boezio, D. Menemenlis, and C. Mechoso. Impact of ECCO Ocean State Estimates on the Initialization of Seasonal Climate Forecasts. J. Climate, 21, 1929-1947 (2008).
  6. B. Fox-Kemper and D. Menemenlis. Can Large Eddy Simulation Techniques Improve Mesoscale Rich Ocean Models? Ocean Modeling in an Eddying Regime, ed. Matthew Hecht & Hiroyasu Hasumi, American Geophysical Union, 319-338 (2008).
  7. D. Menemenlis, I. Fukumori, and T. Lee. Atlantic to Mediterranean sea level difference driven by winds near Gibraltar Strait. J. Phys. Oceanogr., 37, 359-376 (2007).
  8. I. Fukumori, D. Menemenlis, and T. Lee. A near-uniform basin-wide sea level fluctuation of the Mediterranean Sea. J. Phys. Oceanogr., 37, 338-358 (2007).
  9. D. Menemenlis, I. Fukumori, and T. Lee. Using Green's functions to calibrate an ocean general circulation model. Mon. Weather Rev., 133, 1224-1240 (2005).
  10. D. Menemenlis and M. Chechelnitsky. Error Estimates for an Ocean General Circulation Model From Altimeter and Acoustic Tomography Data. Mon. Weather Rev., 128, 763-778 (2000).

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