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Ian Fenty

Photo of Ian Fenty

Address:

4800 Oak Grove Drive
M/S 300-323

Pasadena, CA 91109

Phone:

818.393.1506

Fax:

818.393.6720

Curriculum Vitae:

Click here

Member of:

Ocean Circulation And Air Sea Interaction

Scientist

Employed By

Caltech/JPL

Education

  • Ph.D., Climate Physics and Chemistry, Massachusetts Institute of Technology, Cambridge, MA, (2003-2010)
  • Bachelor of Science, System Dynamics, Worcester Polytechnic Institute, Worcester, MA(1996-2001)

Professional Experience

  • NASA Jet Propulsion Laboratory/Caltech Pasadena, CA Scientist (2013-Present)
  • NASA Jet Propulsion Laboratory/Caltech Pasadena, CA NASA Postdoctoral Program Fellowship (2010-2013)
  • Icosystem Corporation Paris, France and Cambridge, MA, Business Consultant + Dynamical System Modeller, (2001-2003)

Research Interests

Climate dynamics: coupled ice-atmosphere-ocean variability, quantitative estimation and attribution of high-latitude climate variability. Numerical modeling: high resolution coupled sea ice-ocean general circulation models. Observation systems: remote sensing platforms, geophysical transfer algorithms, adaptive/targeted observation system design. Model-data synthesis: strategies for efficient state estimation, adjoint optimization, model/data error estimation.

Selected Publications

  1. Wood, M., E. Rignot, A. Bjork, M. van en Broeke, I. Fenty, et al, 2020, Greenland Marine-Terminating Glacier Retreat Data, Dryad, doi:10.7280/D1667W
  2. ECCO Consortium, I. Fukumori, O. Wang, I. Fenty, G. Forget, P. Heimbach, R. Ponte, (2020, April 24). Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate (Version 4 Release 4). Zenodo. doi:10.5281/zenodo.3765929
  3. Fenty, I., M. Wood, B. Bachman, M. Gonzalgo, F. Graham, L. Yunling, D. Moller, R. Mullerschoen, J. Willis, Y. Zhang, 2020, OMG Glacial Elevations from GLISTIN-A Ver.1. , NASA Phys. Ocean. Distr. Active Archive Center, Pasadena, CA, doi:10.5067/OMGEV-GLNA1
  4. Carroll, D., D. Menemenlis, J. Adkins, K. Bowman, H. Brix, S. Dutkiewicz, I. Fenty, et al., 2020. The ECCO-Darwin Data-assimilative Global Ocean Biogeochemistry Model: Estimates of Seasonal to Multi-decadal Surface Ocean pCO2 and Air-sea CO2 Flux. Journal of Advances in Modeling Earth Systems. doi:10.1029/2019MS001888
  5. Heimbach, P., I. Fukumori, C. Hill, R. Ponte, D. Stammer, C. Wunsch, J-M Campin J-M, B. Cornuelle, I. Fenty, 2019, Putting It All Together: Adding Value to the Global Ocean and Climate Observing Systems With Complete Self-Consistent Ocean State and Parameter Estimates. Frontiers in Marine Science, 6, doi:10.3389/fmars.2019.00055
  6. Khazendar, A., I. Fenty, D. Carroll, et al., 2018, Interruption of two decades of Jakobshavn Isbrae acceleration and thinning as regional ocean cools, Nature Geosci., doi:10.1038/s41561-019-0329-3
  7. Wood, M., Rignot, E., Fenty, I., Menemenlis, D., Millan, R., Morlighem, M., et al. 2018. Ocean-Induced Melt Triggers Glacier Retreat in Northwest Greenland. Geophysical Research Letters. doi:10.1029/2018GL078024
  8. Willis, J., Carroll, D., Fenty, I., Kohli, G., Khazendar, A., Rutherford, M., et al. (2018). Ocean-Ice Interactions in Ingle eld Gulf: Early Results from NASA's Oceans Melting Greenland Mission. Oceanography, 31(2). doi:10.5670/oceanog.2018.211
  9. Fenty, I., D. Menemenlis, H. Zhang, 2017, Global Coupled Sea Ice-Ocean State Estimation, Climate Dynamics, 49(3), doi:10.1007/s00382-015-2796-6
  10. Williams, C. N., Cornford, S. L., Jordan, T. M., Dowdeswell, J. A., Siegert, M. J., Clark, C.D., Swift, D.A., Sole, A., Fenty, I., Bamber, J. L. 2017, Generating synthetic fjord bathymetry for coastal Greenland, The Cryosphere, 11(1), doi:10.5194/tc-11-363-2017
  11. Rignot, E., Xu, Y., Menemenlis, D., Mouginot, J., Scheuchl, B., Li, X., Fenty, I., ... Fleurian, B. de. 2016. Modeling of ocean-induced ice melt rates of five west Greenland glaciers over the past two decades. Geophys. Res. Lett., 43(12), doi.org/10.1002/2016GL068784
  12. Fenty, I., J. Willis, A. Khazendar, et al., 2016, Oceans Melting Greenland: Early Re-sults from NASA's Ocean-Ice Mission in Greenland, Oceanography, 29(4), doi:10.5670/oceanog.2016.100
  13. Rignot, E., I. Fenty, Y. Xu, C. Cai, I. Velicogna, C. O. Cofaigh, J. A. Dowdeswell, W. Weinrebe, G. Catania, D. Duncan, 2016, Bathymetry data reveal glaciers vulnerable to ice-ocean interaction in Uummannaq and Vaigat glacial fjords, west Greenland, Geophys. Res. Lett, 43, doi:10.1002/2016GL067832
  14. Mouginot, J., E. Rignot, A. Buzzi, I. Fenty, A. Khazendar, M. Morlighem, B. Scheuchl, J. Paden, 2015, Fast retreat of Zacharia Isstrom, northeast Greenland, Science, doi:10.1126/science.aac7111
  15. Rignot, E., I. Fenty, X. Yun X, C. Cai., C. Kemp, 2015, Undercutting of Greenland marine-terminating glaciers, Geophys. Res. Lett., 42, doi:10.1002/2015GL064236
  16. Fukumori, I., O. Wang, W. Llovel, I. Fenty, G. Forget, 2015, A Near-Uniform Fluctuation of Ocean Bottom Pressure and Sea Level across the Deep Ocean Basins of the Arctic Ocean and the Nordic Seas, Progress in Oceanography, 134 doi:10.1016/j.pocean.2015.01.013
  17. Xu, Y., E. Rignot, I. Fenty, D. Menemenlis, M. Mar Flexas, 2013. Subaqueous melting of Store Glacier, West Greenland from three-dimensional, high-resolution numerical modeling and ocean observations,Geophys. Res. Lett., 40(17) 4648-4653
  18. Khazendar, Ala, M. Schodlok, I. Fenty, et al. 2013, Thickness changes and ice-ocean inte-actions of the Totten and Moscow University Glaciers, East Antarctica, Nature Communciations, doi:10.1038/ncomms3857
  19. Fenty, I. and P. Heimbach 2012, Coupled Sea Ice-Ocean State Estimation in the Labrador Sea and Baffin Bay, J. Phys. Ocean, doi:10.1175/JPO-D-12-065.1
  20. Fenty, I. and P. Heimbach, 2012. Hydrographic Preconditioning for Seasonal Sea Ice Anomalies in the Labrador Sea, J. Phys. Ocean, doi:10.1175/JPO-D-12-064.1
  21. Rignot, E., Fenty, I., D. Menemenlis, Y. Xu, 2012. Spreading of warm ocean waters around Greenland as a possible cause for glacier acceleration>. Ann. Glaciol. 53(60)
  22. Fenty, I., E. Bonabeau, J. Branke 2005. Co-evolving business models: A case study with the Internet service provider (ISP) industry>. New Mathematics and Natural Computation, 1(3), 359-369