| contributor author | Hamill, Thomas M. | |
| contributor author | Brennan, Michael J. | |
| contributor author | Brown, Barbara | |
| contributor author | DeMaria, Mark | |
| contributor author | Rappaport, Edward N. | |
| contributor author | Toth, Zoltan | |
| date accessioned | 2017-06-09T16:39:01Z | |
| date available | 2017-06-09T16:39:01Z | |
| date copyright | 2012/02/01 | |
| date issued | 2012 | |
| identifier issn | 0003-0007 | |
| identifier other | ams-71572.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4213479 | |
| description abstract | ty information from ensemble prediction systems can enhance and extend the suite of tropical cyclone (TC) forecast products. This article will review progress in ensemble prediction of TCs and the scientific issues in ensemble system development for TCs. Additionally, it will discuss the needs of forecasters and other users for TC uncertainty information and describe some ensemble-based products that may be able to be disseminated in the near future. We hope these proposals will jump-start a community-wide discussion of how to leverage ensemble-based uncertainty information for TC prediction. A supplement to this article is available online (10.1175/2011BAMS3106.2) | |
| publisher | American Meteorological Society | |
| title | NOAA's Future Ensemble-Based Hurricane Forecast Products | |
| type | Journal Paper | |
| journal volume | 93 | |
| journal issue | 2 | |
| journal title | Bulletin of the American Meteorological Society | |
| identifier doi | 10.1175/2011BAMS3106.1 | |
| journal fristpage | 209 | |
| journal lastpage | 220 | |
| tree | Bulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 002 | |
| contenttype | Fulltext | |
