Kathryn J. Sellwood Research Associate III Hurricane Research Division-- CIMAS phone: 305-361-4320 fax: 305-361-4402 kathryn.sellwood@noaa.gov
NOAA's Atlantic Oceanographic and Meteorological Laboratory
4301 Rickenbacker Causeway
Miami, FL 33149
Professional InterestsKathryn Sellwood has scientific interests in the collection, evaluation and assimilation of observations obtained using NOAA aircraft and remote sensing platforms in the inner core region of tropical cyclones. Her research focuses on optimizing the use of these observations for the application of ensemble data assimilation to the problem of numerical prediction of tropical cyclone intensity. Kathryn has been working in the Hurricane Research Division as a contractor with the University of Miami's Cooperative Institute for Marine and Atmospheric Studies since shortly after her completion of a Master of Science degree in Meteorology and Physical Oceanogragphy from U.M. in 2007.
Kathryn maintains an extensive archive of all dropwindsonde observations collected within tropical cyclones by NOAA, U.S. Airforce and other research aircraft. These data are made available to the scientific community via the H.R.D. website and anonymous F.T.P. server and support is provided for their use. As a member of the data assimilation group at H.R.D. she prepares these and other data such as aircraft flight level and Tail Doppler Radar observations, and satellite wind and temperature retrievals for use in the Hurricane Ensemble Data Assimlation System (H.E.D.A.S.), which was developed at H.R.D. for use with the Hurricane Research and Forcasting Model (H.W.R.F.). She is currently working on a project with a goal of optimizing the assimilation of full resolution dropsonde observations into HWRF. Kathryn is also conducting research to evaluate observations collected using innovative instrumentation which can be mounted on un-crewed aircraft or low orbiting satellites. In the course of her research using hurricane observations, Kathryn has developed tools for reading and quality control of multiple data types. She is applying these tools to create a comprehensive data set of tropical cyclone observations centered on individual storm locations and times. The resulting product is intended to be shared publicly so that it might be used for research, reanalysis or model verification.
Current Research Projects
Manuscripts in Review- Wick, G.A.,Dunion,J.P.,Black,P.G., Walker,J.R., Torn, R.D., Kren,A.C., Aksoy, A.,Christophersen, H., Cucurull,L.,Dahl,B.,English, J.M.,Friedman,K.,Peevey,T.R.,Sellwood, K.,Sippel,J.A.,Tallapragada, V.,Taylor, J., Hood,R.E., and Hall,P.. NOAA's Sensing Hazards with Unmanned Aircraft Techonology (SHOUT )Experiment: Observations and Forecast Impact. Submitted to Bulletin of American Meteorology Society. 2019
Recently Published Peer-Reviewed Papers- Aberson, S.D., J.A. Zhang, J. Zawislak, K. Sellwood, R. Rogers, and J.J. Cione. The NCAR GPS dropwindsonde and its impact on hurricane operations and research. Bulletin of the American Meteorological Society, 104(11):E2134-E2154, https://doi.org/10.1175/BAMS-D-22-0119.1 2023
- Sellwood, K.J., J.A. Sippel, and A. Aksoy. Assimilation of Coyote small uncrewed aircraft system observations in Hurricane Maria (2017) using operational HWRF. Weather and Forecasting, 38(6):901-919, https://doi.org/10.1175/WAF-D-22-0214.1 2023
- Zawislak, J., R.F. Rogers, S.D. Aberson, G.J. Alaka, G. Alvey, A. Aksoy, L. Bucci, J. Cione, N. Dorst, J. Dunion, M. Fischer, J. Gamache, S. Gopalakrishnan, A. Hazelton, H.M. Holbach, J. Kaplan, H. Leighton, F. Marks, S.T. Murillo, P. Reasor, K. Ryan, K. Sellwood, J.A. Sippel, and J.A. Zhang. Accomplishments of NOAA’S airborne hurricane field program and a broader future approach to forecast improvement. Bulletin of the American Meteorological Society, 103(2):E311-E338, https://doi.org/10.1175/BAMS-D-20-0174.1 2022
- Aberson, S.D., J.A. Zhang, J. Zawislak, K. Sellwood, R. Rogers, and J.J. Cione. The NCAR GPS dropwindsonde and its impact on hurricane operations and research. Bulletin of the American Meteorological Society, 104(11):E2134-E2154, https://doi.org/10.1175/BAMS-D-22-0119.1 2023
Ref. 4330
- Sellwood, K.J., J.A. Sippel, and A. Aksoy. Assimilation of Coyote small uncrewed aircraft system observations in Hurricane Maria (2017) using operational HWRF. Weather and Forecasting, 38(6):901-919, https://doi.org/10.1175/WAF-D-22-0214.1 2023
Ref. 4242
- Zawislak, J., R.F. Rogers, S.D. Aberson, G.J. Alaka, G. Alvey, A. Aksoy, L. Bucci, J. Cione, N. Dorst, J. Dunion, M. Fischer, J. Gamache, S. Gopalakrishnan, A. Hazelton, H.M. Holbach, J. Kaplan, H. Leighton, F. Marks, S.T. Murillo, P. Reasor, K. Ryan, K. Sellwood, J.A. Sippel, and J.A. Zhang. Accomplishments of NOAA’S airborne hurricane field program and a broader future approach to forecast improvement. Bulletin of the American Meteorological Society, 103(2):E311-E338, https://doi.org/10.1175/BAMS-D-20-0174.1 2022
Ref. 3984
- Wick, G.A., J.P. Dunion, P.G. Black, J.R. Walker, R.D. Torn, A.C. Kren, A. Aksoy, H. Christophersen, L. Cucurull, B. Dahl, J.M. English, K. Friedman, T.R. Peevey, K. Sellwood, J.A. Sippel, V. Tallapragada, J. Taylor, H. Wang, R.E. Hood, and P. Hall. NOAA’s Sensing Hazards with Operational Unmanned Technology (SHOUT) Experiment: Observations and forecast impacts. Bulletin of the American Meteorological Society, 101(7):E698-E987, https://doi.org/10.1175/BAMS-D-18-0257.1 2020
Ref. 3771
- Aberson, S.D., K.J. Sellwood, and P.A. Leighton. Calculating dropwindsonde location and time from TEMP-DROP messages for accurate assimilation and analysis. Journal of Atmospheric and Oceanic Technology, 34(8):1673-1678, https://doi.org/10.1175/JTECH-D-17-0023.1 2017
Ref. 3428
- Christophersen, H., A. Aksoy, P. Dunion, and K. Sellwood. The impact of NASA Global Hawk unmanned aircraft dropwindsonde observations on tropical cyclone track, intensity and structure: Case studies. Monthly Weather Review, 145(5):1817-1830, https://doi.org/10.1175/MWR-D-16-0332.1 2017
Ref. 3379
- Aberson, S.D., A. Aksoy, K.J. Sellwood, T. Vukicevic, and X. Zhang. Assimilation of high-resolution tropical cyclone observations with an ensemble Kalman filter using HEDAS: Evaluation of 2008-2011 HWRF forecasts. Monthly Weather Review, 143(2):511-523, https://doi.org/10.1175/MWR-D-14-00138.1 2015
Ref. 3067
- Aksoy, A., S.D. Aberson, T. Vukicevic, K.J. Sellwood, S. Lorsolo, and X. Zhang. Assimilation of high-resolution tropical cyclone observations with an ensemble Kalman filter using NOAA/AOML/HRD’s HEDAS: Evaluation of the 2008-2011 vortex-scale analyses. Monthly Weather Review, 141(6):1842-1865, https://doi.org/10.1175/MWR-D-12-00194.1 2013
Ref. 2850
- Rogers, R.F., S.D. Aberson, A. Aksoy, B. Annane, M. Black, J.J. Cione, N. Dorst, J. Dunion, J.F. Gamache, S.B. Goldenberg, S.G. Gopalakrishnan, J. Kaplan, B.W. Klotz, S. Lorsolo, F.D. Marks, S.T. Murillo, M.D. Powell, P.D. Reasor, K.J. Sellwood, E.W. Uhlhorn, T. Vukicevic, J.A. Zhang, and X. Zhang. NOAA’s Hurricane Intensity Forecasting Experiment (IFEX): A progress report. Bulletin of the American Meteorological Society, 94(6):859-882, https://doi.org/10.1175/BAMS-D-12-00089 2013
Ref. 2862
- Vukicevic, T., A. Aksoy, P. Reasor, S. Aberson, K. Sellwood, and F. Marks. Joint impact of forecast tendency and state error biases in Ensemble Kalman Filter data assimilation of inner-core tropical cyclone observations. Monthly Weather Review, 141(9):2992-3006, https://doi.org/10.1175/MWR-D-12-00211.1 2013
Ref. 2893
- Aksoy, A., S. Lorsolo, T. Vukicevic, K.J. Sellwood, S.D. Aberson, and F. Zhang. The HWRF Hurricane Ensemble Data Assimilation System (HEDAS) for high-resolution data: The impact of airborne Doppler radar observations in an OSSE. Monthly Weather Review, 140(6):1843-1862, https://doi.org/10.1175/MWR-D-11-00212.1 2012
Ref. 2690
- Majumdar, S.J., K.J. Sellwood, D. Hodyss, Z. Toth, and Y. Song. Characteristics of target areas selected by the Ensemble Transform Kalman Filter for medium-range forecasts of high-impact winter weather. Monthly Weather Review, 138(7):2803-2824, https://doi.org/10.1175/2010MWR3106.1 2010
Ref. 199
- Sellwood, K.J., S. Majumdar, I. Szunyogh, and B. Mapes. Predicting the influence of observations on medium-range forecasts of atmospheric flow. Quarterly Journal of the Royal Meteorological Society, 134(637):2011-2027, https://doi.org/10.1002/qj.341 2008
Ref. 440
Recent Presentations- Sellwood, K., Aksoy, A., Dunion, J.P. and Cecil, D.J.. 2018: An Observing System Experiment (OSE) Study of the Hurricane Imaging Radiometer (HIRAD) instrument. Presented at the 33rd Conference on Hurricanes and Tropical Meteorology, Ponte Vedra, Fl. Program number 5A.6
- Sellwood, K..2019: Dropsonde Behaviour in High Wind and Turbulence Regimes. Presented at the 2019 Airborne Atmospheric Profiling System (AVAPS) users meeting at NCAR, Boulder, Co.
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