Show simple item record

contributor authorZhang, Shixuan;Pu, Zhaoxia;Posselt, Derek J.;Atlas, Robert
date accessioned2018-01-03T10:59:46Z
date available2018-01-03T10:59:46Z
date copyright11/28/2016 12:00:00 AM
date issued2016
identifier otherjtech-d-16-0144.1.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245807
description abstractAbstractThe NASA Cyclone Global Navigation Satellite System (CYGNSS) was launched in late 2016. It will make available frequent ocean surface wind speed observations throughout the life cycle of tropical storms and hurricanes. In this study, the impact of CYGNSS ocean surface winds on numerical simulations of a hurricane case is assessed with a research version of the Hurricane Weather Research and Forecasting Model and a Gridpoint Statistical Interpolation analysis system in a regional observing system simulation experiment framework. Two different methods for reducing the CYGNSS data volume were tested: one in which the winds were thinned and one in which the winds were superobbed.The results suggest that assimilation of the CYGNSS winds has great potential to improve hurricane track and intensity simulations through improved representations of the surface wind fields, hurricane inner-core structures, and surface fluxes. The assimilation of the superobbed CYGNSS data seems to be more effective in improving hurricane track forecasts than thinning the data.
publisherAmerican Meteorological Society
typeJournal Paper
journal volume34
journal issue2
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-16-0144.1
journal fristpage375
journal lastpage383
treeJournal of Atmospheric and Oceanic Technology:;2016:;volume( 034 ):;issue: 002
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record