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A modified wind vector retrieval algorithm for polarimetric scatterometer
2010
2010 IEEE International Geoscience and Remote Sensing Symposium
According to this characteristic of the objective function, we derived a modified wind vector retrieval algorithm for polarimetric scatterometer in this paper. ...
Based on the work by Tsai and Yueh, we developed a prototype simulation software for the spaceborne conically scanning polarimetric scatterometer, which is similar to SeaWinds in geometric parameters but ...
According to this characteristic of the objective function, we derived a modified wind vector retrieval algorithm for polarimetric scatterometer in this paper. ...
doi:10.1109/igarss.2010.5652189
dblp:conf/igarss/XieLHZTLWD10
fatcat:a2byrcxftzaunoytykga4wid7a
A Novel Integrated Algorithm for Wind Vector Retrieval from Conically Scanning Scatterometers
2013
Remote Sensing
It adopts wind speed standard deviation as a criterion for searching possible wind vector solutions and retrieving a potential wind direction interval based on the change rate of the wind speed standard ...
Due to the lower efficiency and the larger wind direction error of traditional algorithms, a novel integrated wind retrieval algorithm is proposed for conically scanning scatterometers. ...
Moreover, the authors are grateful to PO.DAAC and NDBC for providing SeaWinds/QuikSCAT L2A data, L2B data and ocean buoy data respectively. ...
doi:10.3390/rs5126180
fatcat:gcftpsedujeqxankl77233nyh4
All-weather wind vector measurements from intercalibrated active and passive microwave satellite sensors
2011
2011 IEEE International Geoscience and Remote Sensing Symposium
IMPROVED QUIKSCAT KU 2011 GEOPHYSICAL MODEL FUNCTION Scatterometer wind vector retrievals are based on a Geophysical Model Function (GMF), which relates the radar backscatter cross section 0 σ to surface ...
The new algorithm is a blending between the standard physical wind algorithm for non-raining atmospheres and a new windthrough-rain algorithm. ...
IMPROVED QUIKSCAT KU 2011 GEOPHYSICAL
MODEL FUNCTION Scatterometer wind vector retrievals are based on a Geophysical Model Function (GMF), which relates the radar backscatter cross section 0 σ to surface ...
doi:10.1109/igarss.2011.6049354
dblp:conf/igarss/MeissnerRW11
fatcat:ulup5i73jbddtpxcvad3bpgwea
SCATSAT-1 Scatterometer Data Processing
2019
Current Science
This article highlights various levels of operational data products as well as algorithms used for deriving radar backscatter and retrieving wind vector data from scatterometer measurements. ...
SCATSAT-1 carries a Ku-band scatterometer with a scanning pencil beam configuration. ...
We also thank anonymous reviewers for their suggestions for improving the quality of the paper. doi: 10.18520/cs/v117/i6/950-958 ...
doi:10.18520/cs/v117/i6/950-958
fatcat:6vledg4yujdfja4mssgeu7w4j4
Validation and Evaluation of QuikSCAT Ultra-High Resolution Wind Retrieval in the Gulf of Maine
2008
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
With its nineteen meteorological buoys, the Gulf of Maine provides an excellent test site for evaluating the UHR wind retrievals. ...
An additional ambiguity reselection routine improves wind direction agreement between the UHR winds and the other products. ...
INTRODUCTION Since 1999, ocean vector winds from the satellite-based QuikSCAT instrument have been widely used. ...
doi:10.1109/igarss.2008.4779693
dblp:conf/igarss/PlaggeVL08
fatcat:k3oyjb43rvehvjg6pac3msqwom
Coastal Validation of Ultra-high Resolution Wind Vector Retrieval From QuikSCAT in the Gulf of Maine
2009
IEEE Geoscience and Remote Sensing Letters
Speed and direction residuals are calculated between all scatterometer products and collocated buoys. ...
An experimental 2.5-km ultrahigh-resolution (UHR) wind product provided by NASA's QuikSCAT scatterometer offers the potential for new access to coastal surface wind dynamics at the mesoscale level and ...
Due to the fact that the new ambiguity choice is based on a minimum vector difference for each pixel, it sometimes occurs that an individual pixel's speed or direction appears to be farther from the "true ...
doi:10.1109/lgrs.2009.2014852
fatcat:ihzssacsxjam7fylvdpbcx5irq
A Non-MLE Approach for Satellite Scatterometer Wind Vector Retrievals in Tropical Cyclones
2014
Remote Sensing
This paper presents a novel OVW retrieval algorithm for tropical cyclones which improves the accuracy of scatterometer based ocean surface winds when compared to low-flying aircraft with in-situ and remotely ...
accuracy, making this new approach a potential candidate for current and future conically scanning scatterometer wind retrieval algorithms. ...
Ruiyao Chen helped in fine tuning the algorithm. All authors helped in revising and improving this paper, and responding to reviewers comments. ...
doi:10.3390/rs6054133
fatcat:uj6fnobe7rdkdbrdfwrgwwphu4
Inconsistencies in scatterometer wind products based on ASCAT and OSCAT-2 collocations
2019
Remote Sensing of Environment
A B S T R A C T Sea surface vector winds from multiple satellite scatterometers are especially useful for oceanic and atmospheric applications. ...
While the wind direction characteristics of the OSCAT-2 wind products are closely related to the inversion algorithms used, the geophysical model function (GMF) used in the wind inversion is the dominant ...
Acknowledgments The authors are grateful to ISRO for the mission data of SCATSAT-1/ OSCAT-2, to NASA/JPL and EUMETSAT/OSI SAF for providing scatterometer wind products. ...
doi:10.1016/j.rse.2019.03.005
fatcat:n7w2jgqqlvhupfmibw752fg464
Evaluating the Detection of Mesoscale Outflow Boundaries Using Scatterometer Winds at Different Spatial Resolutions
2021
Remote Sensing
Leveraging a new technique to identify cold pools that is based on features that enclose elevated magnitude of the gradient of the wind, termed as 'Gradient Feature' (GF), wind retrievals at 50-, 25- and ...
Ground-based radar retrievals were also implemented to assess and correct, when possible, the performance of the ASCAT retrievals. ...
Scatterometer wind retrievals encompass a set of solutions (up to 4) for each wind vector cell, with the first two being of opposite direction due to the sinusoidal nature of the GMF. ...
doi:10.3390/rs13071334
fatcat:vhe425enfjbujae5lac7ey47xq
A new algorithm for wind speed at low incidence angles using TRMM Precipitation Radar data
2010
2010 IEEE International Geoscience and Remote Sensing Symposium
That's another reason why PR nadir ° is not suitable for wind speed retrieval using altimeter algorithm. Meanwhile, the wind direction modulation is small. ...
While in this study, a new algorithm was developed for retrieving ocean surface winds using surface backscattering measurements from the TRMM PR without other auxiliary data. ...
doi:10.1109/igarss.2010.5652819
dblp:conf/igarss/ChuHC10
fatcat:b3ew7s54obhxplseihs6rcf5xi
Intercalibration of ASCAT Scatterometer Winds from MetOp-A, -B, and -C, for a Stable Climate Data Record
2021
Remote Sensing
Scatterometers provide very stable ocean vector wind data records. ...
This methodology is based on the following principles: a common Geophysical Model Function (GMF) and wind algorithm developed at Remote Sensing Systems (RSS) and the use of in situ and satellite winds ...
continuous support from the NASA OVWST program, and to many members of the IOVWST group for useful discussions over the numerous Science Team meetings. ...
doi:10.3390/rs13183678
fatcat:5iphnecaxfhtre7c2ssmxnngfe
Bayesian analysis of the scatterometer wind retrieval inverse problem: some new approaches
2004
Journal of The Royal Statistical Society Series B-statistical Methodology
The retrieval of wind vectors from satellite scatterometers is a non-linear inverse problem. ...
In this paper we show how Gaussian process priors can be used efficiently with a variety of likelihood models, using local forward (observation) models and direct inverse models for the scatterometer. ...
We thank the committee and three reviewers for their helpful comments, which we hope have improved the clarity of the paper. ...
doi:10.1111/j.1467-9868.2004.02054.x
fatcat:y4m6ozfl4zfkdbucvvc6zm3fuu
Wind Fields over the Great Lakes Measured by the SeaWinds Scatterometer on the QuikSCAT Satellite
2004
Journal of Great Lakes research
This paper demonstrates the utility of satellite scatterometer measurements for wind retrieval over the Great Lakes on a daily basis. ...
For wind direction, the correlation coefficient is 0.94 with a very small value of 1.3°in mean wind direction bias and an rms deviation of 38°for all wind conditions. ...
David Schwab (GLERL) on lake winds are acknowledged as is the technical assistance provided by Gregory A. Lang (GLERL). GLERL Contribution No. 1305. ...
doi:10.1016/s0380-1330(04)70337-8
fatcat:gwl4iyd2mrdtldxlfw7lhmen44
An Improved High Resolution Wind Ambiguity Removal Procedure for SeaWinds
2006
2006 IEEE International Symposium on Geoscience and Remote Sensing
This paper describes an entirely new method for initializing scatterometer wind ambiguity selection, especially for high resolution winds. ...
The SeaWinds scatterometer was developed to measure ocean surface winds from space at a resolution of 25 km. ...
High resolution wind retrieval also results in four possible wind vector solutions at each resolution cell-requiring an ambiguity selection algorithm. ...
doi:10.1109/igarss.2006.682
fatcat:nksmwjoenzbf5hbc3fbgo3hxcm
Wavelet Analysis for Wind Fields Estimation
2010
Sensors
In this paper, we propose a framework to automate wind direction retrieval based on wavelet decomposition associated with spectral processing. ...
Wind field analysis from synthetic aperture radar images allows the estimation of wind direction and speed based on image descriptors. ...
Acknowledgements We acknowledge Venerando Eustáquio Amaro for providing SAR image data set. We are grateful to the Brazilian agencies FUNCAP and CNPq for the financial support. ...
doi:10.3390/s100605994
pmid:22219699
pmcid:PMC3247744
fatcat:lah6i7dwlrf27emiopj3ay2nrq
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