Cédric joined the Jet Propulsion Laboratory in 2014 as a Scientist, and has been serving as the Supervisor for the Terrestrial Hydrology Group since 2018.

• Doctor of Philosophy, University of Texas at Austin, Austin, TX, USA (2009)
• Master of Science in Engineering, University of Texas at Austin, Austin, TX, USA (2006)
• Diplôme d'Ingénieur, Ecole Centrale de Lille, Lille, France (2004)

Cédric is interested in the terrestrial water cycle at continental to global scales with particular focus on river flow within large networks. His areas of expertise include Hydrologic Modeling, Satellite Remote Sensing, High-Performance Scientific Computing, Open Source Programming, and Geographic Information Systems. Two overarching questions currently motivate Cédric’s research:

1. How does water flow within river networks?
2. How can Earth-orbiting satellites be used along with computer models to best understand surface water dynamics?

• Group Supervisor, Jet Propulsion Laboratory, California Institute of Technology (2018-current)
• Scientist, Jet Propulsion Laboratory, California Institute of Technology (2014-current)
• Project Scientist, University of California Center for Hydrologic Modeling, (2012-2014)
• Postdoctoral Fellow, Department of Geological Sciences, University of Texas at Austin, (2009-2012)
• Graduate Research Assistant, Centre de Géosciences, Mines Paristech, (2007-2008)
• Graduate Research Assistant, Center for Research in Water Resources, University of Texas at Austin, (2004-2007, 2008-2009)

Panelist and/or Reviewer for Review Panels

• The National Science Foundation (3 assignments)
• The National Aeronautics and Space Administration
• The National Sciences and Engineering Research Council of Canada

Peer reviews for international scientific journals

• Proceeding of the National Academy of Sciences of the United States of America
• Geophysical Research Letters
• Monthly Weather Review
• Water Resources Research
• Hydrology and Earth System Sciences
• Journal of Hydrometeorology
• Journal of Geophysical Research – Atmospheres
• Journal of Geophysical Research – Space Physics
• Environmental Modelling and Software
• Hydrological Processes
• Journal of the American Water Resources Association

Editorial Roles

• Earth and Space Science, Guest Editor for the Special Issue on Geoscience Paper of the Future.

Advisory committees

• Appointed member of the AGU Hydrology Section Task Force on Open Access Model Evaluation for Water Resources Research (2019-current)
• Appointed member of the AGU Hydrology Section Remote Sensing Technical Committee (2017-current)
• Appointed member of the advisory committee for the NSF EarthCube OntoSoft Project, and Ambassador for the Geoscience Paper of the Future (2015-2017)

• Early Career Public Achievement Medal, National Aeronautics and Space Administration (2018)
• Voyager Award, Jet Propulsion Laboratory (2016)
• Azure Research Grant, Microsoft Research (2014)
• Horton (Hydrology) Research Grant, American Geophysical Union (2008).

The most up-to-date list is at: http://orcid.org/0000-0002-0924-5907/ or on my Curriculum Vitae which can be downloaded on this page. A subset of recent papers is below.

1. Emery, C. M., C. H. David, K. M. Andreadis, M. J. Turmon, J. T. Reager, and J. M. Hobbs (2020), Underlying Fundamentals of Kalman Filtering for River Network Modeling, Journal of Hydrometeorology, xx, xx-xx, DOI: 10.1175/JHM-D-19-0084.1.
2. Sikder, M. S., C. H. David, G. H. Allen, X. Qiao, E. J. Nelson, and M. A. Matin (2019), Evaluation of Available Global Runoff Datasets through a River Model in Support of Transboundary Water Management in South and Southeast Asia, Frontiers in Environmental Science, 7:171, DOI: 10.3389/fenvs.2019.00171.
3. Yang, Y., P. Lin, C. K. Fisher, M. Turmon, J. Hobbs, C. M. Emery, J. T. Reager, C. H. David, H. Lud, K. Yang, Y. Hong, E. F. Wood, and M. Pan (2019), Enhancing SWOT Discharge Assimilation through Spatiotemporal Correlations, Remote Sensing of Environment, 234, 111450, DOI: 10.1016/j.rse.2019.111450.
4. Purdy, A. J., C. H. David, M. S. Sikder, J. T. Reager, H. A. Chandanpurkar, N. L. Jones, M. A. Matin (2019), An open-source tool to facilitate the processing of GRACE Observations and GLDAS outputs: An evaluation in Bangladesh, Frontiers in Environmental Science, 7:155, DOI: 10.3389/fenvs.2019.00155.
5. Nelson, E. J., S. T. Pulla, M. A. Matin, K. Shakya, N. L. Jones, D. P. Ames, W. L. Ellenburg, K. N. Markert, C. H. David, B. F. Zaitchik, P. Gatlin, and R. Hales (2019), Enabling Stakeholder Decision-Making with Earth Observation and Modeling Data Using Tethys Platform, Frontiers Environmental Science, 7:148, DOI: 10.3389/fenvs.2019.00148.
6. Qiao, X., E. J. Nelson, D. Ames, Z. Li, C. H. David, G. Williams, W. Roberts, J. L. Sanchez-Lozano, C. Edwards, M. Souffront, and M. Matin (2019), A Systems Approach to Routing Global Gridded Runoff through Local High-Resolution Stream Networks for Flood Early Warning Systems, Environmental Modelling & Software, 120, 104501, DOI: 10.1016/j.envsoft.2019.104501.
7. Lin, P., M. Pan, H. E. Beck, Y. Yang, D. Yamazaki, R. Frasson, C. H. David, M. Durand, T. M. Pavelsky, G. H. Allen, C. J. Gleason, and E. F. Wood (2019), Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches, Water Resources Research, 55, 6499-6516, DOI: 10.1029/2019WR025287.
8. Nickles, C., R. E. Beighley, Y. Zhao, M. T. Durand, C. H. David, and H. Lee (2019), How does the unique space-time sampling of the Surface Water and Ocean Topography (SWOT) Mission influence river discharge series characteristics? Geophysical Research Letters, 46, 8154-8161, DOI: 10.1029/2019GL083886.
9. Ehalt Macedo, H., R. E. Beighley, C. H. David, and J. T. Reager (2019), Using GRACE in a streamflow recession to determine drainable water storage in the Mississippi River Basin. Hydrology and Earth System Sciences, 23, 3269-3277, DOI: 10.5194/hess-23-3269-2019.
10. David, C. H., J. M. Hobbs, M. J. Turmon, C. M. Emery, J. T. Reager, and J. S. Famiglietti (2019), Analytical Propagation of Runoff Uncertainty into Discharge Uncertainty through a Large River Network, Geophysical Research Letters, 46, 8102-8113, DOI: 10.1029/2019GL083342.
11. Zhou, Y.Q., A. H. Sawyer, C. H. David, and J. S. Famiglietti (2019), Fresh submarine groundwater discharge to the near-global coast, Geophysical Research Letters, 46, 5855-5863, DOI: 10.1029/2019GL082749.
12. Stampoulis, D., J. T. Reager, C. H. David, K. M. Andreadis, J. S. Famiglietti, T. G. Farr, A. R. Trangsrud, R. R. Basilio, J. L. Sabo, G. B. Osterman, P. R. Lundgren, Z. Liu (2019) Model-data fusion of hydrologic simulations and GRACE Terrestrial Water Storage observations to estimate changes in water table depth, Advances in Water Resources, xx, xx-xx, DOI: 10.1016/j.advwatres.2019.04.004.
13. Oaida, C. M., J. T. Reager, K. M. Andreadis, C. H. David, S. R. Levoe, T. H. Painter, K. J. Bormann, A. R. Trangsrud, M. Girotto, J. S. Famiglietti (2018) A high-resolution data assimilation framework for snow water equivalent estimation across the Western United States and validation with the Airborne Snow Observatory, Journal of Hydrometeorology, 20, 357-378, DOI : 10.1175/JHM-D-18-0009.1.
14. Zhou, Y., K. M. Befus, A. H. Sawyer, and C. H. David (2018), Opportunities and challenges in computing fresh groundwater discharge to continental coastlines: A multimodel comparison for the United States Gulf and Atlantic Coasts, Water Resources Research, DOI: 10.1029/2018WR023126.
15. Li, P., Z. -L. Yang, D. J. Gochis, W. Yu, D. R. Maidment, M. A. Somos-Valenzuela, and C. H. David (2018), Implementation of a vector-based river network routing scheme in the community WRF-Hydro modeling framework for flood discharge simulation, Environmental Modelling & Software, 107, 1-11, DOI: 10.1016/j.envsoft.2018.05.018.
16. Allen, G. H., C. H. David, K. M. Andreadis, F. Hossain, and J. S. Famiglietti (2018), Global estimates of river flow wave travel times and implications for low-latency satellite data, Geophysical Research Letters, DOI: 10.1029/2018GL077914.
17. Hossain, F., M. Srinivasan, C. Peterson, A. Andral, et al. (2017), Engaging the User Community for Advancing Societal Applications of the Surface Water Ocean Topography (SWOT) mission, Bulletin of the American Meteorological Society (in press), DOI: 10.1175/BAMS-D-17-0161.1.
18. Knights, D, K. C. Parks, A. H. Sawyer, C. H. David, T. N. Browning, K. M. Danner, and C. D. Wallace (2017), Direct groundwater discharge and vulnerability to hidden nutrient loads along the Great Lakes coast of the United States, Journal of Hydrology, 554, 331-341, DOI: 10.1016/j.jhydrol.2017.09.001.
19. Salas, F. R., M. A. Somos-Valenzuela, A. Dugger, D. R. Maidment, D. J. Gochis, C. H. David, W. Yu, D. Ding, E. P. Clark, and N. Noman (2017), Towards Real-Time Continental Scale Streamflow Simulation in Continuous and Discrete Space, Journal of the American Water Resources Association (accepted on 2017-08-22), xx-xx. DOI: 10.1111/xxxx.
20. David, C. H., Y. Gil, C. H. Duffy, S. D. Peckham, and S. K. Venayagamoorthy (2016), An Introduction to the special Issue on Geoscience Papers of the Future, Earth and Space Science, 3, 441-444, DOI: 10.1002/2016EA000201.
21. Fournier, S., J. T. Reager, T. Lee, J. Vasquez-Cuervo, C. H. David, and M. M. Gierach, (2016), SMAP observes flooding from land to sea: the Texas event of 2015, Geophysical Research Letters, 43, 10,338-10,346, DOI: 10.1002/2016GL070821.
22. Tavakoly, A. A., A. D. Snow, C. H. David, M. L. Follum, D. R. Maidment, Z. -L. Yang (2016), Continental Scale River Flow Modeling of the Mississippi River Basin Using High Resolution NHDPlus Dataset, Journal of the American Water Resources Association, 1-22. DOI: 10.1111/1752-1688.12456.
23. Gil, Y., C. H. David, I. Demir, B. T. Essawy, R. W. Fulweiler, J. L. Goodall, L. Karlstrom, H. Lee, H. J. Mills, J. -H. Oh, S. A. Pierce, A. Pope, M. W. Tzeng, S. R. Villamizar, and X. Yu (2016), Towards the Geoscience Paper of the Future: Best Practices for Documenting and Sharing Research from Data to Software to Provenance, Earth and Space Science, 3, 388-415, DOI: 10.1002/2015EA000136.
24. Sawyer, A. H., C. H. David, and J. S. Famiglietti (2016), Continental patterns of submarine groundwater discharge reveal coastal vulnerabilities, Science, 353(6300), 705-707. DOI:10.1126/science.aag1058.
25. Snow, A. D., S. D. Christensen, N. R. Swain, J. Nelson, D. P. Ames, N. L. Jones, D. Ding, N. Noman, C. H. David, F. Pappenberger (2016), A High-Resolution National-Scale Hydrologic Forecast System from a Global Ensemble Land Surface Model, Journal of the American Water Resources Association, 1-15, DOI: 10.1111/1752-1688.12434.
26. David, C. H., J. S. Famiglietti, Z. -L. Yang, F. Habets, and D. R. Maidment (2016), A Decade of RAPID - Reflections on the Development of an Open Source Geoscience Code, Earth and Space Science, 3, 1-19, DOI: 10.1002/2015EA000142.
27. Solander, K., J. T. Reager, B. F. Thomas, C. H. David, and J. S. Famiglietti (2016), Simulating human water regulation: the development of an optimal complexity, climate-adaptive reservoir management model for an LSM, Journal of Hydrometeorology, 17:3, 725-743, DOI: 10.1111/1752-1688.12355.
28. Lin, P., Z. -L. Yang, X. Cai, and C. H. David (2015), Development and evaluation of a physically-based lake level model for water resource management: A case study for Lake Buchanan, Texas, Journal of Hydrology: Regional Studies, 4(B), 661-674. DOI: 10.1016/j.ejrh.2015.08.005.
29. Tavakoly, A. Ah, D. R. Maidment, T. Whiteaker, J. McClelland, Z. -L Yang, C. H. David, and C. Griffin (2015), A GIS Framework for Regional Modeling of Riverine Nitrogen Transport: Case Study: San Antonio and Guadalupe Basins, Journal of the American Water Resources Association, 52(1), 1-15. DOI: 10.1111/1752-1688.12355.
30. David, C. H., J. S. Famiglietti, Z. –L. Yang, and V. Eijkhout (2015), Enhanced fixed-size parallel speedup with the Muskingum method using a trans-boundary approach and a large sub-basins approximation, Water Resources Research, 51(9), 1-25, DOI: 10.1002/2014WR016650.
31. Häfliger, V., E. Martin, A. Boone, F. Habets, C. H. David, P.A. Garambois, H. Roux, and S. Ricci, L. Berthon, A. Thévenin (2015), Evaluation of regional-scale water level simulations using various river routing schemes within a hydrometeorological modelling framework for the preparation of the SWOT mission, Journal of Hydrometeorology, 16(4), 1821–1842, DOI: 10.1175/JHM-D-14-0107.1.
32. Bierkens, M. F. P., V. A. Bell, P. Burek, N. Chaney, L. E. Condon, C. H. David, A. de Roo, P. Döll, N. Drost, J. S. Famiglietti, M. Flörke, D. J. Gochis, P. Houser, R. Hut, J. Keune, S. Kollet, R. M. Maxwell, J. T. Reager, L. Samaniego, E. Sudicky, E. H. Sutanudjaja, N. van de Giesen, H. Winsemius, and E. F. Wood (2015), Hyper-resolution global hydrological modelling: what is next? Hydrological Processes, 29(2), 310-320, DOI: 10.1002/hyp.10391.
33. Habets, F., E. Philippe, E. Martin, C. H. David, and F. Leseur (2015), Small farm dams: impact on river flows and sustainability in a context of climate change (2014), 18, 4207-4222, DOI:10.5194/hess-18-4207-2014.
34. Cai, X., Z. -L. Yang, C. H. David, G. -Y. Niu, and M. Rodell (2014), Hydrological evaluation of the Noah-MP land surface model for the Mississippi River Basin, Journal of Geophysical Research – Atmospheres, 119, 1-16, DOI: 10.1002/2013JD020792.
35. David, C. H., Z. -L. Yang and J. S. Famiglietti (2013), Quantification of the upstream-to-downstream influence in the Muskingum method, and implications for speedup in parallel computations of river flow, Water Resources Research, 49, 1-18, DOI: 10.1002/wrcr.20250.