An experimental real-time Ocean Nowcast/Forecast System has been developed for the Intra-Americas Sea (IASNFS).
The area of coverage includes the Caribbean Sea, the Gulf of Mexico and the Straits of Florida.
The system produces nowcast and up to 72 hours forecast the sea level variation, 3D ocean current, temperature and salinity fields.
IASNFS consists an 1/24 degree (~6 km), 41-level sigma-z data-assimilating ocean model based on NCOM. The model topography is from NRL DBDB2. For daily nowcast/forecast the model is restarted from previous nowcast. Once model is restarted it continuously assimilates the synthetic temperature/salinity profiles generated by a data analysis model called MODAS to produce nowcast. Real-time data come from satellite altimeter (GFO, Jason-1, ERS-2) sea surface height (global) anomaly and AVHRR sea surface temperature (global). Three hourly surface heat fluxes, including solar radiation, wind stresses and sea level air pressure from NOGAPS/FNMOC are applied for surface forcing. Forecasts are produced with available NOGAPS forecasts. Once the nowcast/forecast are produced they are distributed through the internet via the updated web pages.
The open boundary conditions including sea surface elevation, transport, temperature, salinity and currents are provided by the NRL 1/8 degree Global NCOM which is operated daily. An one way coupling scheme is used to ingest those boundary conditions into the IAS model. There are 140 rivers with monthly discharges included in the IASNFS.
IASNFS is a fully automated end-to-end ocean prediction system operated at NRL Oceanography Division with founding provided by NASA. See IASNFS System Components.
IASNFS predictions have been evaluated against observations including coastal sea level measurements. See "evaluations".
|AMS 2003 Proceedings: B/W | Color|
|Ko, Dong S., Ruth H. Preller, and Paul J. Martin, 2003: An Experimental Real-Time Intra Americas Sea Ocean Nowcast/Forecast System for Coastal Prediction, Proceedings, AMS 5th Conference on Coastal Atmospheric & Oceanic Prediction & Processes, 97-100, 2003.|
|Other IASNFS related Publications and Applications|
Laurent, A., K. Fennel, D.S. Ko, J. Lehrter, 2018: Climate change projected to exacerbate impacts of coastal eutrophication in the northern Gulf of Mexico, J. Geophys. Res. Oceans, 123, 1-19, https://doi.org/10.1002/2017JC013583. doi:10.1002/2017JC013583.
Allahdadi, M.N., F. Jose, E.J. D’Sa, and D.S. Ko, 2017: Effect of wind, river discharge, and outer-shelf phenomena on circulation dynamics of the Atchafalaya Bay and shelf, Ocean Eng., 129, 567–580, http://dx.doi.org/10.1016/j.oceaneng.2016.10.035.
Lehrter, J.C., D.S. Ko, L. Lowe, B. Penta, 2017: Predicted effects of climate change on the severity of northern Gulf of Mexico hypoxia, Chapter for book "Modeling Coastal Hypoxia: Numerical Simulations of Pattern, Controls, and Effects of Dissolved Oxygen Dynamics", eds. D. Justic, K. Rose, R. Hetland and K. Fennel, Springer International Publishing, Cham, Switzerland, doi:10.1007/978-3-319-54571-4, ISBN:978-3-319-54569-1.
Fennel, K., A. Laurent, R. Hetland, D. Justić, D.S. Ko, J. Lehrter, M. Murrell, L. Wang, L. Yu and W. Zhang, 2016: Effects of model physics on hypoxia simulations for the northern Gulf of Mexico: A model inter-comparison, J. Geophys. Res. Oceans, 121, 1-20, doi:10.1002/2015JC011577.
Ko, D.S., R.W. Gould, Jr., B. Penta, and J.C. Lehrter, 2016: Impact of satellite remote sensing data on simulations of coastal circulation and hypoxia on the Louisiana Continental Shelf, Remote Sens., 8, 435-450, doi:10.3390/rs8050435.
Pauer, J.J., T.J. Feist, A.M. Anstead, P.A. DePetro, W. Melendez, J.C. Lehrter, M.C. Murrell, X. Zhang, and D.S. Ko, 2016: A modeling study examining the impact of nutrient boundaries on primary production on the Louisiana continental shelf, Ecol. Model., 328, 136-147, doi:10.1016/j.ecolmodel.2016.02.007.
Timothy, J.F., J.J. Pauer, W. Melendez, J.C. Lehrter, P.A. DePetro, K.R. Rygwelski, and D.S. Ko, 2016: Modeling the relative importance of nutrient and carbon loads, boundary fluxes, and sediment fluxes on Gulf of Mexico hypoxia, Enviro. Sci. & Techno., 50, 8713-8721, doi:10.1021/acs.est.6b01684.
Jones, B.T., J. Gyory, E.K. Grey, M. Bartlein, D.S. Ko, R.W. Nero, and C.M. Taylor, 2015: Transport of blue crab larvae in the northern Gulf of Mexico during the Deepwater Horizon oil spill, Mar. Ecol. Prog. Ser., 527, 143-156, doi: 10.3354/meps11238.
Zaron, E.D, P. Fitzpatrick, S. Cross, J. Harding, F. Bud, J. Wiggert, D.S. Ko, Y. Lau, K. Woodard, and C.N.K. Mooers, 2015: Initial Evaluations of a U.S. Navy rapidly relocatable Gulf of Mexico/Caribbean ocean forecast system in the context of the Deepwater Horizon incident, Front. Earth Sci., 9, 605-636, doi:10.1007/s11707-014-0508-x.
Allee, R.J., J.C. Kurtz, R.W. Gould, D.S. Ko, K.L. Goodin, and M. Finkbeiner, 2014: Application of the coastal and marine ecological classification standard using satellite-derived and modeled data products for pelagic habitats in the northern Gulf of Mexico, Ocean and Coastal Management, 88, 13-20, http://dx.doi.org/10.1016/j.ocecoaman.2013.10.02.
Chaichitehrani, N., E.J. D'Sa, D.S. Ko, N. Walker, C.L. Osburn, and R.F. Chen, 2014: Colored dissolved organic matter dynamics in the northern Gulf of Mexico from ocean color and numerical model results, J. Coast. Res., 30, 800-814, doi: 10.2112/JCOASTRES-D-13-00036.1.
Ko, D.S., and Wang, D.-P., 2014: Intra-Americas Sea Nowcast/Forecast System Ocean Reanalysis to Support Improvement of Oil-Spill Risk Analysis in the Gulf of Mexico by Multi-Model Approach, Department of the Interior, Bureau of Ocean Energy Management, Herndon, VA. BOEM 2014-1003, pp. 55, http://www.data.boem.gov/PI/PDFImages/ESPIS/5/5447.pdf
Lehrter, J., D.S. Ko, M. Murrell, G. Richard, H. James, S. Blake, R.W. Gould, and B. Penta, 2013: Nutrient transports and source/sink dynamics on the inner Louisiana continental shelf, J. Geophys. Res., 118, 4822-4838, doi:10.1002/jgrc.20362.
D'Sa, E., M. Korobkin, and D.S. Ko, 2011: Effects of Hurricane Ike on the Louisiana-Texas coast from satellite and model data, Remote Sensing Lett., 2, 11-19, doi: 10.1080/01431161.2010.489057.
Arnone, R.A., B. Casey, S. Ladner, D.S. Ko, and R.W. Gould, 2010: Forecasting the Coastal Optical Properties using Satellite Ocean Color, Oceanography from Space, eds. V. Barale et al., Springer Science+Business Media B. V., 335-348, doi:10.1007/978-90-481-8681-5_19.
D'Sa, E.J., and D.S. Ko, 2010: Effects of a frontal passage on surface salinity distribution along the Louisiana-Texas coast, USA from ocean color and model outputs, Remote Sensing of the Ocean, Sea Ice, and Large Water Regions 2010, edited by C.R. Bostater Jr., S.P. Mertikas, X. Neyt, M. Velez-Reyes, Proc. SPIE, 7825, 782502, doi: 10.1117/12.864878.
Mendoza, W.G., R.G. Zika, J.E. Corredor, D.S. Ko, and C.N.K. Mooers, 2009: Developmental strategy for effective sampling to detect possible nutrient fluxes in oligotrophic coastal reef waters in the Caribbean, J. Operational Oceanogr., 2, 35-47.
D'Sa, E.J., and D.S. Ko, 2008: Short-term influences on suspended particulate matter distribution in the northern Gulf of Mexico: Satellite and model observations, Sensors, 8, 4249-4264, doi:10.3390/s8074249.
Green, R.E., R.W. Gould, and D.S. Ko, 2008: Statistical models for sediment/detritus and dissolved absorption coefficients in coastal waters of the northern Gulf of Mexico, Cont. Shelf Res., 28, 1273-1285.
Arnone, R.A., B. Casey, D. Ko, P. Flynn, L. Carrolo, and S. Ladner, 2007: Forecasting coastal optical properties using ocean color and coastal circulation models, Proc. SPIE, 6680, doi:10.1117/12.737201.
Haltrin, V.I., R.A. Arnone, P. Flynn, B. Casey, A.D. Weidemann, and D.S. Ko, 2007: Restoring number of suspended particles in ocean using satellite optical images and forecasting particle fields, Proc. SPIE, 6615, doi: 10.1117/12.740435.
Chassignet, E.P., H.E. Hurlburt, O.M. Smedstad, C.N. Barron, D.S. Ko, R.C. Rhodes, J.F. Shriver, A.J. Wallcraft, and R.A. Arnone, 2005: Assessment of Data Assimilative Ocean Models in the Gulf of Mexico Using Ocean Color, Geophysical Monography 161 - Circulation in the Gulf of Mexico: Observations and Models, eds. W. Sturgers and A. Lugo-Fernandes, AGU, Washington D.C., 87-100.
Grid | Topography | Rivers
Nowcast/Forecast | Movie ( GOM | Windward Pass | LC | Trasport/Trajectory)