T
Tomislava Vukicevic
Researcher at National Oceanic and Atmospheric Administration
Publications - 54
Citations - 2019
Tomislava Vukicevic is an academic researcher from National Oceanic and Atmospheric Administration. The author has contributed to research in topics: Data assimilation & Tropical cyclone. The author has an hindex of 26, co-authored 53 publications receiving 1883 citations. Previous affiliations of Tomislava Vukicevic include Atlantic Oceanographic and Meteorological Laboratory & National Center for Atmospheric Research.
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Sensitivity Analysis Using an Adjoint of the PSU-NCAR Mesoseale Model
TL;DR: In this article, an adjoint of the Pennsylvania State University-National Center for Atmospheric Research (PSU-NCAR) Mesoscale Model has been developed for use in sensitivity analysis following Cacuci.
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Important literature on the use of adjoint, variational methods and the Kalman filter in meteorology
TL;DR: The use of adjoint equations is proving to be invaluable in many areas of meteorological research as discussed by the authors, including variational data assimilation, parameter fitting, optimal instability and sensitivity analysis in general.
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NOAA'S Hurricane Intensity Forecasting Experiment: A Progress Report
Robert F. Rogers,Sim D. Aberson,Altug Aksoy,Bachir Annane,Michael L. Black,Joseph J. Cione,Neal Dorst,Jason Dunion,John F. Gamache,Stan Goldenberg,Sundararaman Gopalakrishnan,John Kaplan,Bradley W. Klotz,Sylvie Lorsolo,Frank D. Marks,Shirley T. Murillo,Mark D. Powell,Paul D. Reasor,Kathryn J. Sellwood,Eric W. Uhlhorn,Tomislava Vukicevic,Jun A. Zhang,Xuejin Zhang +22 more
TL;DR: An update of the progress achieved as part of the NOAA Intensity Forecasting Experiment (IFEX) is provided in this article, with a brief summary of noteworthy aircraft missions flown in the years since 2005, the first year IFEX flights occurred, as well as a description of the research and development activities that directly address the three primary IFEX goals: 1) collect observations that span the tropical cyclone (TC) life cycle in a variety of environments for model initialization and evaluation; 2) develop and refine measurement strategies and technologies that provide improved real-time monitoring of TC intensity
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The Influence of Artificial and Physical Factors upon Predictability Estimates Using a Complex Limited-Area Model
TL;DR: In this article, the authors demonstrate that an additional important effect of the lateral boundaries is to restrict the scales at which errors can grow: if the domain is sufficiently large, forecast differences grow with time, but only at large scales.
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Examination of the accuracy of a tangent linear model
TL;DR: In this article, the authors investigated the accuracy of a tangent linear version of a 3-dimensional mesoscale primitive equation model (the PSU/NCAR MM4) by comparing its results with those produced by identical perturbations introduced in nonlinear forecasts of the original model.