National Oceanic and
Atmospheric Administration
United States Department of Commerce

Christopher Moore

Oceanographer
Staff Affiliation: 
NOAA/PMEL
PMEL Division: 
Ocean Environment
PMEL Project: 
NOAA Center for Tsunami Research

Profile

Christopher Moore is the director of the NOAA Center for Tsunami Research at NOAA’s Pacific Marine Environmental Laboratory in Seattle, Washington. He has a background in computational fluid dynamics and data analysis and has experience in numerical modeling of long-wave coastal inundation from tsunamis and in real-time DART buoy data assimilation and inversion. He leads the development team for NOAA’s operational tsunami forecast suite known as the Common Analytic System (CAS), as well as the Community Model Interface for Tsunami (ComMIT), and the Tsunami Coastal Assessment Tool (TsuCAT), and teaches workshops in tsunami hazard assessments as part of the TsunamiReady program. He chairs several working groups and committees including those in the National Tsunami Hazard Mitigation Program, and the IOC Tsunami Programme.

Research Interests

Numerical modeling of water waves; long wave modeling; data assimilation techniques, tsunami measurements, tsunami modeling, tsunami forecast.

Selected Publications

Guerrero Fernández, E., M.J. Castro Díaz, Y. Wei, and C. Moore (2024): Modeling sediment movement in the shallow-water framework: A morpho-hydrodynamic approach with numerical simulations and experimental validation. Ocean Model., 192, 102445, doi: 10.1016/j.ocemod.2024.102445.

Titov, V.V., C. Meinig, S. Stalin, Y. Wei, C. Moore, and E. Bernard (2023): Technology transfer of PMEL tsunami research protects populations and expands the New Blue Economy. Oceanography, 36(2-3), 186–195, doi: 10.5670/oceanog.2023.205.

Titov, V.V., and C. Moore (2021): Meteotsunami model forecast: Can coastal hazard be quantified in real time? Nat. Hazards, 106, 1545-1561, doi: 10.1007/s11069-020-04450-6.

Fry, B., S.-J. McCurrach, K. Gledhill, W. Power, M. Williams, M. Angove, D. Arcas, and C. Moore (2020): Sensor network warns of stealth tsunamis, Eos, 101, doi: 10.1029/2020EO144274.

Rabinovich, A.B., V.V. Titov, C.W. Moore, and M.C. Eblé (2017): The 2004 Sumatra tsunami in the southeastern Pacific Ocean: New global insight from observations and modeling. J. Geophys. Res., 122, 7992-8019, doi: 10.1002/2017JC013078.

Dall’Osso, F., D. Dominey-Howes, C. Moore, S. Summerhayes, and G. Withycombe (2014): The exposure of Sydney (Australia) to earthquake-generated tsunamis, storms and sea level rise: a probabilistic multi-hazard approach. Sci. Rep., 4, 7401, doi: 10.1038/srep07401.

Greenslade, D.J.M., A. Annunziato, A. Babeyko, D. Burbidge, E. Ellguth, N. Horspool, T. Srinivasa Kumar, Ch. Patanjali Kumar, C. Moore, N. Rakowsky, T. Riedlinger, A. Ruangrassamee, P. Srivihok, and V.V. Titov (2014): An assessment of the diversity in scenario-based tsunami forecasts for the Indian Ocean. Cont. Shelf Res., 79, 36-45, doi: 10.1016/j.csr.2013.06.001.

Kânoğlu, U., V.V. Titov, B. Aydin, C. Moore, T.S. Stefanakis, H. Zhou, M. Spillane, and C.E. Synolakis (2013): Focusing of long waves with finite crest over a constant depth. Proc. Roy. Soc. Lond. A, 469(2153), 20130015, doi: 10.1098/rspa.2013.0015.