Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Philip Muscarella"'
Publikováno v:
Sensors, Vol 21, Iss 23, p 7811 (2021)
Many activities require accurate wind and wave forecasts in the coastal ocean. The assimilation of fixed buoy observations into spectral wave models such as SWAN (Simulating Waves Nearshore) can provide improved estimates of wave forecasts fields. Hi
Externí odkaz:
https://doaj.org/article/95d4c287bdf64ef3b89824b7764079d0
Publikováno v:
Sensors; Volume 21; Issue 23; Pages: 7811
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7811, p 7811 (2021)
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7811, p 7811 (2021)
Many activities require accurate wind and wave forecasts in the coastal ocean. The assimilation of fixed buoy observations into spectral wave models such as SWAN (Simulating Waves Nearshore) can provide improved estimates of wave forecasts fields. Hi
Autor:
Ole Martin Smedstad, Emanuel Coelho, Gregg A. Jacobs, Patrick J. Hogan, Mozheng Wei, Charlie N. Barron, Paul J. Martin, Clark Rowley, Philip Muscarella, Peter L. Spence
Publikováno v:
Deep Sea Research Part II: Topical Studies in Oceanography. 129:374-393
A suite of real-time ocean model forecasts was carried out successfully at NRL to provide modeling support and guidance to the CARTHE GLAD at-sea experiment during summer 2012. The forecast systems include two RELO ensembles and three single models u
Publikováno v:
Monthly Weather Review. 144:1051-1068
The assimilation of surface velocity observations and their impact on the model sea surface height (SSH) is examined using an operational regional ocean model and its four-dimensional variational data assimilation (4DVAR) analysis component. In this
Autor:
Innocent Souopgui, Scott Smith, Gregg A. Jacobs, Philip Muscarella, Matthew Carrier, Hans Ngodock, Paul J. Martin
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 142:1160-1170
Autor:
Patrick J. Hogan, O. M. Smedstad, Charlie N. Barron, Philip Muscarella, Gregg A. Jacobs, Clark Rowley, Paul J. Martin, Emanuel Coelho, Peter L. Spence, Mozheng Wei
Publikováno v:
Nonlinear Processes in Geophysics, Vol 20, Iss 5, Pp 621-641 (2013)
A number of real-time ocean model forecasts were carried out successfully at Naval Research Laboratory (NRL) to provide modeling support and numerical guidance to the CARTHE GLAD at-sea experiment during summer 2012. Two RELO ensembles and three sing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14f529f7e77c80fc9709e2947c902fd8
https://www.nonlin-processes-geophys.net/20/621/2013/
https://www.nonlin-processes-geophys.net/20/621/2013/
Autor:
Philip Muscarella, Helga S. Huntley, Hans Ngodock, A. D. Kirwan, B.L. Lipphardt, Scott Smith, Matthew Carrier
Publikováno v:
Monthly Weather Review. 143:1822-1832
The Lagrangian predictability of general circulation models is limited by the need for high-resolution data streams to constrain small-scale dynamical features. Here velocity observations from Lagrangian drifters deployed in the Gulf of Mexico during
Autor:
Brian K. Haus, Scott Smith, Matthew Carrier, Philip Muscarella, Hans Ngodock, B.L. Lipphardt, Tamay M. Özgökmen, Gregg A. Jacobs
Publikováno v:
Monthly Weather Review. 142:1509-1524
Eulerian velocity fields are derived from 300 drifters released in the Gulf of Mexico by The Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE) during the summer 2012 Grand Lagrangian Deployment (GLAD) experiment
Publikováno v:
Continental Shelf Research. 73:41-48
The implementation of a multi-scale three dimensional variational (MS3DVAR) data assimilation scheme for use with the Navy Coastal Ocean Model (NCOM) in the Kuroshio Extension western boundary current region is presented here. This work leverages on
Autor:
Jay F. Shriver, Philip Muscarella, Scott Smith, Matthew Carrier, Innocent Souopgui, Hans Ngodock
Publikováno v:
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) ISBN: 9783319434148
The Navy Coastal Ocean Model Four-Dimensional Variational Assimilation (NCOM 4DVAR ) system is an analysis software package that is designed to supplement the current capability of the operational analysis/prediction system known as the Relocatable N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::083143c5fb301f7b5fe9398217372278
https://doi.org/10.1007/978-3-319-43415-5_18
https://doi.org/10.1007/978-3-319-43415-5_18