COAPS Virtual Library (Publications)

DiNapoli, S. M., Bourassa, M. A., & Powell, M. D. (2012). Uncertainty and Intercalibration Analysis of HWind. J. Atmos. Oceanic Technol.*, 29(6), 822–833. https://www.coaps.fsu.edu/bibliography/show.php?record=249
Dockery, N. (2014). Enhanced Search and Vocabulary Access for the Shipboard Automated Meteorological and Oceanographic System (SAMOS) using the Semantic Web Stack. Master's thesis, Florida State University, Tallahassee, FL. https://www.coaps.fsu.edu/bibliography/show.php?record=160
Dombrowsky, E., Bertino, L., Brassington, G., Chassignet, E., Davidson, F., Hurlburt, H., et al. (2009). GODAE Systems in Operation. Oceanog., 22(3), 80–95. https://www.coaps.fsu.edu/bibliography/show.php?record=382
Domingues, R., Kuwano-Yoshida, A., Chardon-Maldonado, P., Todd, R. E., Halliwell, G., Kim, H. - S., et al. (2019). Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones. Front. Mar. Sci., 6, 446. Abstract: Over the past decade, measurements from the climate-oriented ocean observing system have been key to advancing the understanding of extreme weather events that originate and intensify over the ocean, such as tropical cyclones (TCs) and extratropical bomb cyclones (ECs). In order to foster further advancements to predict and better understand these extreme weather events, a need for a dedicated observing system component specifically to support studies and forecasts of TCs and ECs has been identified, but such a system has not yet been implemented. New technologies, pilot networks, targeted deployments of instruments, and state-of-the art coupled numerical models have enabled advances in research and forecast capabilities and illustrate a potential framework for future development. Here, applications and key results made possible by the different ocean observing efforts in support of studies and forecasts of TCs and ECs, as well as recent advances in observing technologies and strategies are reviewed. Then a vision and specific recommendations for the next decade are discussed. https://www.coaps.fsu.edu/bibliography/show.php?record=1043
Downes, S. M., Farneti, R., Uotila, P., Griffies, S. M., Marsland, S. J., Bailey, D., et al. (2015). An assessment of Southern Ocean water masses and sea ice during 1988-2007 in a suite of interannual CORE-II simulations. Ocean Modelling, 94, 67–94. Keywords: Southern Ocean; CORE-II experiments; Water masses; Sea ice; Ocean model intercomparison https://www.coaps.fsu.edu/bibliography/show.php?record=99
Dukhovskoy, D., & Bourassa, M. (2011). Comparison of ocean surface wind products in the perspective of ocean modeling of the Nordic Seas. In OCEANS 2011. Keywords: scatterometer winds; Arctic Ocean; ocean modeling https://www.coaps.fsu.edu/bibliography/show.php?record=315
Dukhovskoy, D., Johnson, M., & Proshutinsky, A. (2006). Arctic decadal variability from an idealized atmosphere-ice-ocean model: 1. Model description, calibration, and validation. J. Geophys. Res., 111(C6). https://www.coaps.fsu.edu/bibliography/show.php?record=437
Dukhovskoy, D., Johnson, M., & Proshutinsky, A. (2006). Arctic decadal variability from an idealized atmosphere-ice-ocean model: 2. Simulation of decadal oscillations. J. Geophys. Res., 111(C6). https://www.coaps.fsu.edu/bibliography/show.php?record=436
Dukhovskoy, D. S. (2004). Arctic decadal variability: An auto-oscillatory system of heat and fresh water exchange. Geophys. Res. Lett., 31(3). https://www.coaps.fsu.edu/bibliography/show.php?record=461
Dukhovskoy, D. S., & Morey, S. L. (2011). Simulation of the Hurricane Dennis storm surge and considerations for vertical resolution. Nat Hazards, 58(1), 511–540. Keywords: Storm surge modeling; Unstructured grid; Vertical discretization; Coastal inundation https://www.coaps.fsu.edu/bibliography/show.php?record=303

DiNapoli, S. M., Bourassa, M. A., & Powell, M. D. (2012). Uncertainty and Intercalibration Analysis of H*Wind. J. Atmos. Oceanic Technol., 29(6), 822–833.

Dockery, N. (2014). Enhanced Search and Vocabulary Access for the Shipboard Automated Meteorological and Oceanographic System (SAMOS) using the Semantic Web Stack. Master's thesis, Florida State University, Tallahassee, FL.

Dombrowsky, E., Bertino, L., Brassington, G., Chassignet, E., Davidson, F., Hurlburt, H., et al. (2009). GODAE Systems in Operation. Oceanog., 22(3), 80–95.

Domingues, R., Kuwano-Yoshida, A., Chardon-Maldonado, P., Todd, R. E., Halliwell, G., Kim, H. - S., et al. (2019). Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones. Front. Mar. Sci., 6, 446.

Downes, S. M., Farneti, R., Uotila, P., Griffies, S. M., Marsland, S. J., Bailey, D., et al. (2015). An assessment of Southern Ocean water masses and sea ice during 1988-2007 in a suite of interannual CORE-II simulations. Ocean Modelling, 94, 67–94.

Dukhovskoy, D., & Bourassa, M. (2011). Comparison of ocean surface wind products in the perspective of ocean modeling of the Nordic Seas. In OCEANS 2011.

Dukhovskoy, D., Johnson, M., & Proshutinsky, A. (2006). Arctic decadal variability from an idealized atmosphere-ice-ocean model: 1. Model description, calibration, and validation. J. Geophys. Res., 111(C6).

Dukhovskoy, D., Johnson, M., & Proshutinsky, A. (2006). Arctic decadal variability from an idealized atmosphere-ice-ocean model: 2. Simulation of decadal oscillations. J. Geophys. Res., 111(C6).

Dukhovskoy, D. S. (2004). Arctic decadal variability: An auto-oscillatory system of heat and fresh water exchange. Geophys. Res. Lett., 31(3).

Dukhovskoy, D. S., & Morey, S. L. (2011). Simulation of the Hurricane Dennis storm surge and considerations for vertical resolution. Nat Hazards, 58(1), 511–540.

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