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contributor authorMorris, Mary
contributor authorRuf, Christopher S.
date accessioned2017-06-09T16:51:44Z
date available2017-06-09T16:51:44Z
date issued2017
identifier issn1558-8424
identifier otherams-75458.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217796
description abstractYGNSS?the Cyclone Global Navigation Satellite System?consists of a constellation of eight microsatellites which will provide observations of surface wind speed in all precipitating conditions. A method for estimating tropical cyclone (TC) metrics?maximum surface wind speed (VMAX), radius of maximum surface wind speed (RMAX), and wind radii (R64, R50, R34)? from CYGNSS observations is developed and tested based on simulated CYGNSS observations with realistic measurement errors. Using two inputs, 1) CYGNSS observations and 2) the storm center location, estimates of TC metrics are possible through the use of a parametric wind model algorithm which effectively interpolates between the available observations as a constraint on the assumed wind speed distribution. This methodology has promising performance based on the simulations presented. In particular, after quality control filters based on sampling properties are applied to our population of test cases, the standard deviation of retrieval error for VMAX is 4.3 m s-1 (where 1 m s-1 = 1.94 kt), for RMAX is 17.4 km, for R64 is 16.8 km, for R50 is 21.6 km, and for R34 is 41.3 km (where 1 km = 0.54 n mi). These TC data products will be available for the 2017 Atlantic hurricane season using on-orbit CYGNSS observations, but near-real time operations is the subject of future work. Future work will also include calibration and validation of the algorithm once real CYGNSS data are available.
publisherAmerican Meteorological Society
titleDetermining Tropical Cyclone Surface Wind Speed Structure and Intensity with the CYGNSS Satellite Constellation
typeJournal Paper
journal volume056
journal issue007
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-16-0375.1
journal fristpage1847
journal lastpage1865
treeJournal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 007
contenttypeFulltext


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