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A modified wind vector retrieval algorithm for polarimetric scatterometer

Xuetong Xie, Mingsen Lin, Zhou Huang, Juhong Zou, Dongxuan Tian, Lixia Liu, Xiaoning Wang, Shiwei Dong
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

Xuetong Xie, Zhou Huang, Mingsen Lin, Kehai Chen, Youguo Lan, Xinzhe Yuan, Xiaomin Ye, Juhong Zou
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

Thomas Meissner, Lucrezia Ricciardulli, Frank Wentz
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

Devang Mankad, Rajesh Sikhakolli, Puja Kakkar, Qamer Saquib, Krishna Murari Agrawal, Suresh Gurjar, Dinesh Kumar Jain, V. M. Ramanujam, Pradeep Thapliyal
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

A. M. Plagge, D. C. Vandemark, D. G. Long
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

A.M. Plagge, D.C. Vandemark, D.G. Long
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

Suleiman Alsweiss, Rafik Hanna, Peth Laupattarakasem, W. Jones, Christopher Hennon, Ruiyao Chen
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

Zhixiong Wang, Ad Stoffelen, Biao Zhang, Yijun He, Wenming Lin, Xiuzhong Li
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

Georgios Priftis, Timothy J. Lang, Piyush Garg, Stephen W. Nesbitt, Richard D. Lindsley, Themistoklis Chronis
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

Xiaoqing Chu, Yijun He, Gengxin Chen
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

Lucrezia Ricciardulli, Andrew Manaster
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

Dan Cornford, Lehel Csato, David J. Evans, Manfred Opper
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

Son V. Nghiem, George A. Leshkevich, Bryan W. Stiles
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

B. Williams, D. Long
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

Gladeston C. Leite, Daniela M. Ushizima, Fátima N. S. Medeiros, Gilson G. De Lima
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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