Title :
An advanced point-wise ambiguity selection algorithm: application to SeaWinds
Author :
Draper, David W. ; Long, David G.
Author_Institution :
Microwave Earth Remote Sensing Lab., Brigham Young Univ., Provo, UT, USA
Abstract :
The scatterometer wind estimation process results in several possible wind vectors (ambiguities) at each resolution cell. The current ambiguity selection technique applied to SeaWinds on QuikSCAT data requires outside data as part of the initialization. An advanced ambiguity selection algorithm known as BYU point-wise does not use nudging data; rather, it utilizes a low-order Karhunen Loeve (KL) wind field model to promote self-consistency. In application to a subset of SeaWinds data, BYU point-wise selects 93% of the same ambiguities as the JPL method. On a set of non-storm error regions, BYU point-wise performed subjectively better in 55% of regions and subjectively worse in only 11% of regions. In cyclonic-storm cases, BYU pointwise performed subjectively better in 11% of regions while performing worse in 23% of regions. Thus, BYU point-wise generally produces more consistent results in non-storm regions without the aid of external nudging data
Keywords :
atmospheric techniques; geophysical signal processing; meteorological radar; remote sensing by radar; spaceborne radar; wind; BYU point-wise; SeaWinds; low-order Karhunen Loeve wind field model; marine atmosphere; measurement technique; meteorological radar; point wise ambiguity selection algorithm; radar remote sensing; radar scatterometry; selection method; spaceborne radar; wind direction; wind vector; wind velocity; Earth; Frequency; Geometry; Instruments; Laboratories; Least squares approximation; Oceans; Radar measurements; Radar scattering; Wind forecasting;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.977945