Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Lisa Bucci"'
Autor:
Heather M. Holbach, Olivier Bousquet, Lisa Bucci, Paul Chang, Joe Cione, Sarah Ditchek, Jim Doyle, Jean-Philippe Duvel, Jack Elston, Gustavo Goni, Kai Kwong Hon, Kosuke Ito, Zorana Jelenak, Xiaotu Lei, Rick Lumpkin, Clive R. McMahon, Christopher Reason, Elizabeth Sanabia, Lynn Keith Shay, Jason A. Sippel, Andrey Sushko, Jie Tang, Kazuhisa Tsuboki, Hiroyuki Yamada, Jonathan Zawislak, Jun A. Zhang
Publikováno v:
Tropical Cyclone Research and Review, Vol 12, Iss 2, Pp 81-99 (2023)
Observations of tropical cyclones (TC) from aircraft and in situ platforms provide critical and unique information for analyzing and forecasting TC intensity, structure, track, and their associated hazards. This report, prepared for the tenth Interna
Externí odkaz:
https://doaj.org/article/43877b03d8c4478a8c7ef7965d0eef82
Publikováno v:
Remote Sensing, Vol 10, Iss 6, p 825 (2018)
This study presents a verification and an analysis of wind profile data collected during Tropical Storm Erika (2015) by a Doppler Wind Lidar (DWL) instrument aboard a P3 Hurricane Hunter aircraft of the National Oceanic and Atmospheric Administration
Externí odkaz:
https://doaj.org/article/d512f07deb60444792141d4777977d43
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 148:3491-3508
Autor:
Sundararaman Gopalakrishnan, Sim D. Aberson, Joseph J. Cione, Kathryn J. Sellwood, Kelly Ryan, Ghassan J. Alaka, Shirley T. Murillo, Robert F. Rogers, Paul D. Reasor, John F. Gamache, John Kaplan, Hua Leighton, Jun A. Zhang, George R. Alvey, Jonathan Zawislak, Jason Dunion, A. Aksoy, Neal Dorst, Andrew Hazelton, Heather M. Holbach, Michael Fischer, Jason A. Sippel, Lisa Bucci, Frank D. Marks
Publikováno v:
Bulletin of the American Meteorological Society. 103:E311-E338
Since 2005, NOAA has conducted the annual Intensity Forecasting Experiment (IFEX), led by scientists from the Hurricane Research Division at NOAA’s Atlantic Oceanographic and Meteorological Laboratory. They partner with NOAA’s Aircraft Operations
Publikováno v:
Monthly Weather Review. 147:2961-2977
Aircraft reconnaissance missions remain the primary means of collecting direct measurements of marine atmospheric conditions affecting tropical cyclone formation and evolution. The National Hurricane Center tasks the NOAA G-IV aircraft to sample envi
Publikováno v:
Monthly Weather Review.
This study examines how varying wind profile coverages in the tropical cyclone (TC) core, near-environment and broader synoptic environment affect the structure and evolution of a simulated Atlantic hurricane through data assimilation. Three sets of
Autor:
Bachir Annane, Robert Atlas, Sharanya J. Majumdar, Javier Delgado, Brian D. McNoldy, Lisa Bucci
Publikováno v:
Marine Technology Society Journal. 51:7-15
The impact of assimilating ocean surface wind observations from the Cyclone Global Navigation Satellite System (CYGNSS) is examined in a high-resolution Observing System Simulation Experiment (OSSE) framework for tropical cyclones (TCs). CYGNSS is a
Publikováno v:
Remote Sensing, Vol 10, Iss 6, p 825 (2018)
Remote Sensing; Volume 10; Issue 6; Pages: 825
Remote Sensing; Volume 10; Issue 6; Pages: 825
This study presents a verification and an analysis of wind profile data collected during Tropical Storm Erika (2015) by a Doppler Wind Lidar (DWL) instrument aboard a P3 Hurricane Hunter aircraft of the National Oceanic and Atmospheric Administration
Publikováno v:
Marine Technology Society Journal. 49:140-148
Observing System Simulation Experiments (OSSEs) are an important tool for evaluating the potential impact of new or proposed observing systems, as well as for evaluating trade-offs in observing system design, and in developing and assessing improved
Autor:
Robert Atlas, Ross N. Hoffman, Sara C. Tucker, G. David Emmitt, Shirley T. Murillo, Sidney A. Wood, Steven Greco, R. Michael Hardesty, Bachir Annane, Lisa Bucci, Zaizhong Ma
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 32:1593-1613
The potential impact of Doppler wind lidar (DWL) observations from a proposed optical autocovariance wind lidar (OAWL) instrument is quantified in observing system simulation experiments (OSSEs). The OAWL design would provide profiles of useful wind