Christopher S. Velden



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Results: Found 90 records (displaying records 1 through 25)


1. Velden, Christopher; Olander, Timothy; Herndon, Derrick and Kossin, James P. Reprocessing the most intense historical tropical cyclones in the satellite era using the Advanced Dvorak Technique. Monthly Weather Review, Volume 145, Issue 3, 2017, pp.971-983. Reprint # 7876.
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2. Kim, Myunghwan; Kim, Hyun Mee; Kim, Jim Woong; Ki, Sung-Min; Velden, Christopher and Hoover, Brett. Effect of enhanced satellite-derived Atmospheric Motion Vectors on numerical weather prediction in East Asia using an adjoint-based observation impact method. Weather and Forecasting, Volume 32, Issue 2, 2017, 579–594. Reprint # 7889.
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3. Velden, Christopher; Lewis, William E.; Bresky, Wayne; Stettner, David; Daniels, Jaime and Wanzong, Steven. Assimilation of high-resolution satellite-derived Atmospheric Motion Vectors: Impact on HWRF forecasts of tropical cyclone track and intensity. Monthly Weather Review, Volume 145, Issue 3, 2017, pp.1107-1125. Reprint # 7920.
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4. Wimmers, Anthony J. and Velden, Christopher S. Advancements in objective multisatellite tropical cyclone center fixing. Journal of Applied Meteorology and Climatology, Volume 55, Issue 1, 2016, 197–212. Reprint # 7537.
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5. Griffin, Sarah M.; Bedka, Kristopher M. and Velden, Christopher S. A method for calculating the height of overshooting convective cloud tops using satellite-based IR imager and CloudSat cloud profiling radar observations. Journal of Applied Meteorology and Climatology, Volume 55, Issue 2, 2016, pp.479-491. Reprint # 7562.
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6. Wu, Ting-Chi; Velden, Christopher S.; Majumdar, Sharanya J.; Liu, Hui and Anderson, Jeffrey L. Understanding the influence of assimilating subsets of enhanced atmospheric motion vectors on numerical analyses and forecasts of tropical cyclone track and intensity with an ensemble Kalman filter. Monthly Weather Review, Volume 143, Issue 7, 2015, 2506–2531. Reprint # 7421.
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7. Folmer, Michael J.; DeMaria, Mark; Ferraro, Ralph; Beven, John; Brennan, Michael; Daniels, Jaime; Kuligowski, Robert; Meng, Huan; Rudlosky, Scott; Zhao, Limin; Knaff, John; Kusselson, Sheldon; Miller, Steven D.; Schmit, Timothy J.; Velden, Chris and Zavodsky, Bard. Satellite tools to monitor and predict Hurricane Sandy (2012): Current and emerging products. Atmospheric Research, Volume 166, 2015, pp.165-181. Reprint # 7433.
8. Manion, Alexander; Evans, Clark; Olander, Timothy L.; Velden, Christopher S. and Grasso, Lewis D. An evaluation of advanced Dvorak Technique-derived tropical cyclone intensity estimates during extratropical transition using synthetic satellite imagery. Weather and Forecasting, Volume 30, Issue 4, 2015, 984–1009. Reprint # 7441.
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9. Rozoff, Christopher M.; Velden, Christopher S.; Kaplan, John; Kossin, James P. and Wimmers, Anthony J. Improvements in the probabilistic prediction of tropical cyclone rapid intensification with passive microwave observations. Weather and Forecasting, Volume 30, Issue 4, 2015, pp.1016-1038. Reprint # 7449.
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10. Kaplan, John; Rozoff, Christopher M.; DeMaria, Mark; Sampson, Charles R.; Kossin, James P.; Velden, Christopher S.; Cione, Joseph J.; Dunion, Jason P.; Knaff, John A.; Zhang, Jun A.; Dostalek, John F.; Hawkins, Jeffrey D.; Lee, Thomas F. and Solbrig, Jeremy E. Evaluating environmental impacts on tropical cyclone rapid intensification predictability utilizing statistical models. Weather and Forecasting, Volume 30, Issue 5, 2015, 1374–1396. Reprint # 7497.
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11. Wu, Ting-Chi; Liu, Hui; Majumdar, Sharanya J.; Velden, Christopher S. and Anderson, Jeffrey L. Influence of assimilating satellite-derived Atmospheric Motion Vector observations on numerical analyses and forecasts of tropical cyclone track and intensity. Monthly Weather Review, Volume 142, Issue 1, 2014, pp.49-71. Reprint # 7150.
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12. Lazzara, Matthew A.; Dworak, Richard; Santek, David A.; Hoover, Brett T.; Velden, Christopher S. and Key, Jeffrey R. High-latitude atmospheric motion vectors from composite satellite data. Journal of Applied Meteorology and Climatology, Volume 53, Issue 2, 2014, 534–547. Reprint # 7170.
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13. Dunion, Jason P.; Thorncroft, Christopher D. and Velden, Christopher S. The tropical cyclone diurnal cycle of mature hurricanes. Monthly Weather Review, Volume 142, Issue 10, 2014, 3900–3919. Reprint # 7273.
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14. Velden, Christopher S. and Sears, John. Computing deep-tropospheric vertical wind shear analyses for tropical cyclone applications: Does the methodology matter?. Weather and Forecasting, Volume 25, Issue 5, 2014, 1169–1180. Reprint # 7278.
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15. Deb, S. K.; Wanzong, Steve; Velden, C. S.; Kaur, Inderpreet; Kishtawal, C. M.; Pal, P.K. and Menzel, W. P. Height assignment improvement in Kalpana-1 Atmospheric Motion Vectors. Journal of the Indian Society of Remote Sensing, 2014, doi:10.1007/s1254-013-0278-z. Reprint # 7287.
16. Hoover, Brett T.; Velden, Chris S. and Majumdar, Sharanya J. Physical mechanisms underlying selected adaptive sampling techniques for tropical cyclones. Monthly Weather Review, Volume 141, Issue 11, 2013, 4008–4027. Reprint # 7092.
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17. Reynolds, Carolyn A.; Langland, Rolf; Pauley, Patricia M. and Velden, Christopher. Tropical cyclone data impact studies: Influence of model bias and synthetic observations. Monthly Weather Review, Volume 141, Issue 12, 2013, 4373–4394. Reprint # 7117.
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18. Schmit, Timothy J.; Goodman, Steven J.; Lindsey, Daniel T.; Rabin, Robert M.; Bedka, Kristopher M.; Gunshor, Mathew M.; Cintineo, John L.; Velden, Christopher S.; Bachmeier, A. Scott; Lindstrom, Scott S. and Schmidt, Christopher C. Geostationary Operational Environmental Satellite (GOES)-14 super rapid scan operations to prepare for GOES-R. Journal of Applied Remote Sensing, Volume 7, Issue 1, 2013, doi:10.1117/1.JRS.7.073462. Reprint # 7131.
19. Montgomery, Michael T.; Davis, Christopher; Dunkerton, Timothy; Wang, Zhou; Velden, Christopher; Torn, Ryan; Majumdar, Sharanya J.; Zhang, Fuqing; Smith, Roger K.; Bosart, Lance; Bell, Michael M.; Haase, Jennifer S.; Heymsfield, Andrew; Jensen, Jorgen; Campos, Teresa and Boothe, Mark A. The Pre-Depression Investigation of Cloud-systems in the Tropics (PREDICT) experiment: Scientific basis, new analysis tools, and some first results. Bulletin of the American Meteorological Society, Volume 93, Issue 2, 2012, pp.153-172. Reprint # 6588.
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20. Sears, John and Velden, Christopher S. Validation of satellite-derived Atmospheric Motion Vectors and analyses around tropical disturbances. Journal of Applied Meteorology and Climatology, Volume 51, Issue 10, 2012, pp.1823-1834. Reprint # 6853.
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21. Monette, Sarah A.; Velden, Christopher S.; Griffin, Kyle S. and Rozoff, Christopher M. Examining trends in satellite-detected tropical overshooting tops as a potential predictor of tropical cyclone rapid intensification. Journal of Applied Meteorology and Climatology, Volume 51, Issue 11, 2012, pp.1917-1930. Reprint # 6912.
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22. Wimmers, Anthony J. and Velden, Christopher S. Seamless advective blending of total precipitable water retrievals from polar-orbiting satellites. Journal of Applied Meteorology and Climatology, Volume 50, Issue 5, 2011, pp.1024-1036. Reprint # 6456.
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23. Hawkins, Jeffrey and Velden, Christopher. Supporting meteorological field experiment missions and postmission analysis with satellite digital data and products. Bulletin of the American Meteorological Society, Volume 92, Issue 8, 2011, pp.1009-1022. Reprint # 6504.
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24. Berger, Howard; Langland, Rolf; Velden, Christopher S. ; Reynolds, Carolyn A. and Pauley, Patricia M. Impact of enhanced satellite-derived atmospheric motion vector observations on numerical tropical cyclone track forecasts in the Western North Pacific during TPARC/TCS-08. Journal of Applied Meteorology and Climatology, Volume 50, Issue 11, 2011, 2309–2318. Reprint # 6553.
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25. Wimmers, Anthony J. and Velden, Christopher S. Objectively determining the rotational center of tropical cyclones in passive microwave satellite imagery. Journal of Applied Meteorology and Climatology, Volume 49, Issue 9, 2010, pp.2013-2034. Reprint # 6349.
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