Show simple item record

contributor authorShakeel Asharaf
contributor authorDerek J. Posselt
contributor authorFaozi Said
contributor authorChristopher S. Ruf
date accessioned2023-04-12T18:42:18Z
date available2023-04-12T18:42:18Z
date copyright2022/12/29
date issued2022
identifier otherJTECH-D-21-0168.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290099
description abstractGlobal Navigation Satellite System Reflectometry (GNSS-R)-based wind retrieval techniques use the global positioning system (GPS) signals scattered from the ocean surface in the forward direction, and can potentially work in all weather conditions. An overview of recent progress made in the Cyclone Global Navigation Satellite System (CYGNSS) level-2 surface wind products is given. To this end, four publicly released CYGNSS surface wind products—Science Data Record (SDR) v2.1, SDR v3.0, Climate Data Record (CDR) v1.1, and science wind speed product NOAA v1.1—are validated quantitatively against high-quality data from tropical buoy arrays. The latest released CYGNSS wind products (e.g., CDR v1.1, SDR v3.0, NOAA v1.1), as compared with these tropical buoy data, significantly outperform the SDR v2.1. Moreover, the uncertainty among these products is found to be less than 2 m s
publisherAmerican Meteorological Society
titleUpdates on CYGNSS Ocean Surface Wind Validation in the Tropics
typeJournal Paper
journal volume40
journal issue1
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-21-0168.1
journal fristpage37
journal lastpage51
page37–51
treeJournal of Atmospheric and Oceanic Technology:;2022:;volume( 040 ):;issue: 001
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record