Determining Tropical Cyclone Surface Wind Speed Structure and Intensity with the CYGNSS Satellite ConstellationSource: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 007::page 1847DOI: 10.1175/JAMC-D-16-0375.1Publisher: American Meteorological Society
Abstract: YGNSS?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.
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contributor author | Morris, Mary | |
contributor author | Ruf, Christopher S. | |
date accessioned | 2017-06-09T16:51:44Z | |
date available | 2017-06-09T16:51:44Z | |
date issued | 2017 | |
identifier issn | 1558-8424 | |
identifier other | ams-75458.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4217796 | |
description abstract | YGNSS?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. | |
publisher | American Meteorological Society | |
title | Determining Tropical Cyclone Surface Wind Speed Structure and Intensity with the CYGNSS Satellite Constellation | |
type | Journal Paper | |
journal volume | 056 | |
journal issue | 007 | |
journal title | Journal of Applied Meteorology and Climatology | |
identifier doi | 10.1175/JAMC-D-16-0375.1 | |
journal fristpage | 1847 | |
journal lastpage | 1865 | |
tree | Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 007 | |
contenttype | Fulltext |