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A Wind and Rain Backscatter Model Derived From AMSR and SeaWinds Data
2009
IEEE Transactions on Geoscience and Remote Sensing
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Chapter 5 Validation Results To validate the performance of the AMSR SWR algorithm, data from the entire SeaWinds on ADEOS II mission are processed using the AMSR SWR algorithm. ...
Proposed Work The purpose of this thesis is to develop a wind and rain backscatter model derived from the data of SeaWinds and AMSR on ADEOS II, incorporate this model into the SWR algorithm, and validate ...
Appendix A Notes on Rain Model Parameter Calculation This appendix explains some of the details in calculating the parameters of the rain model discussed in Sections 3.4 and 5.1 of this thesis. ...
doi:10.1109/tgrs.2008.2007492
fatcat:pm46kzlco5gobdh5nk4mrwyffm
Ultra High Resolution Rain Retrieval from QuikSCAT Data
2006
2006 IEEE International Symposium on Geoscience and Remote Sensing
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Initial results for inferring wind and rain at ultra high resolution are presented. 0-7803-9510-7/06/$20.00 ...
Originally designed only to measure near-surface winds over the ocean at 25 km resolution, backscatter measurements made by the QuikSCAT scatterometer can be used to simultaneously estimate wind and rain ...
RESULTS Two identical SeaWinds scatterometers have flown: one on QuikSCAT and the other on ADEOS-II. ...
doi:10.1109/igarss.2006.1059
fatcat:qwsxep77trd6lknqyxqtvjgedi
Difference characteristics of sea surface temperature observed by GLI and AMSR aboard ADEOS-II
2006
Journal of Oceanography
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The GLI-and AMSR-derived SSTs from April to October 2003 are analyzed with other ancillary data including surface wind speed and water vapor retrieved by AMSR and SeaWinds on ADEOS-II. ...
The simultaneous observation from the Global Imager (GLI: infrared) and the Advanced Microwave Scanning Radiometer (AMSR: microwave) aboard the Advanced Earth Observing Satellite-II (ADEOS-II) provided ...
This study is supported by the ADEOS-II project of JAXA Japan, and Category 7 of MEXT PR2002 Project for Sustainable Coexistence of Human, Nature and the Earth and Special Coordination Fund for Promoting ...
doi:10.1007/s10872-006-0059-1
fatcat:xucd2qt26vhrtnectngwyr6kum
Correcting Active Scatterometer Data for the Effects of Rain Using Passive Radiometer Data
2006
Journal of Applied Meteorology and Climatology
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Data from the Advanced Microwave Scanning Radiometer (AMSR) and the SeaWinds scatterometer, both on the Midori-II satellite, are used. ...
Fitting the coefficients of the model requires an estimate of the radar cross section because of wind roughening, and NCEP Global Data Assimilation System (GDAS) wind vectors are used for this purpose. ...
making the Level-1A AMSR on Midori-II data available to us. ...
doi:10.1175/jam2357.1
fatcat:zphjm7l7gnfgjhrgutpwnmthmu
Simultaneous wind and rain retrieval using SeaWinds data
2004
IEEE Transactions on Geoscience and Remote Sensing
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The SeaWinds scatterometers onboard the QuikSCAT and the Advanced Earth Observing Satellite 2 measure ocean winds on a global scale via the relationship between the normalized radar backscattering cross ...
The simultaneous wind/rain estimation method yields most accurate winds in the "sweet spot" of SeaWinds' swath. On the outer-beam edges of the swath, simultaneous wind/rain estimation is not usable. ...
In the case of synergistic use of AMSR radiometer rain rates from ADEOS II, a realistic Bayesian prior given the AMSR rain rates may also be developed. ...
doi:10.1109/tgrs.2004.830169
fatcat:nris3lowsfailju57szov7r6pq
Challenges to Satellite Sensors of Ocean Winds: Addressing Precipitation Effects
2012
Journal of Atmospheric and Oceanic Technology
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The vector wind sensors, the Ku-band scatterometers [NASA's SeaWinds on the QuikSCAT and Midori-II platforms and Indian Space Research Organisation's (ISRO's) Ocean Satellite (Oceansat)-2], and the current ...
A constant limitation on the full utilization of scatterometer-derived winds is the presence of isolated rain events, which affect about 7% of the observations. ...
NASA/OSU SeaWinds Project). ...
doi:10.1175/jtech-d-11-00054.1
fatcat:lxbdzy6i3zd7fdpytg646gvrye
Seasat—A 25-year legacy of success
2005
Remote Sensing of Environment
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Thousands of scientific publications and dozens of textbooks include data from instruments derived from NASA's Seasat. ...
The Seasat mission was launched on June 26, 1978, on an Atlas-Agena rocket from Vandenberg Air Force Base. ...
We wish to acknowledge the valuable contributions to the International Geoscience and Remote Sensing Symposium (IGARSS' 2003) Seasat special session of Tom Allan and Craig Dobson, and the additional comments ...
doi:10.1016/j.rse.2004.09.011
fatcat:b72ap4uobnglpaddmeuq7lom7m
Assessment of composite global sampling: Sea surface wind speed
2006
Geophysical Research Letters
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The number of the long-11 term US sea surface wind speed observing satellites has 12 increased from one in July 1987 to five or more since 13 2000. ...
These statistics provide practical guidance to 20 produce reliable blended products for different 21 applications, and serve as guidance on the design of 22 future global observing systems. ...
SeaWinds on the Advanced Earth Observing Satellites 82 (ADEOS) I & II), non-US satellites (e.g., the European 83 Remote Sensing Satellites (ERS) À1 and 2, which have 84 narrow observing swaths and interrupted ...
doi:10.1029/2006gl027086
fatcat:t63kxnmqong5zpyoepv4h22bzy
Insights on the OAFlux ocean surface vector wind analysis merged from scatterometers and passive microwave radiometers (1987 onward)
2014
Journal of Geophysical Research - Oceans
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The synthesis was established on the bases that the low and moderate winds (<15 m s 21 ) constitute 98% of global daily wind fields, and they are the range of winds that are retrieved with best quality ...
Yet, challenges are presented in situations of synoptic weather systems due mainly to three factors: (i) the lack of radiometer retrievals in rain conditions, (ii) the inability to fill in the data voids ...
al., 1991] , the NASA SeaWinds-1 scatterometer on the QuikSCAT satellite (1999) (2000) (2001) (2002) (2003) (2004) (2005) (2006) (2007) (2008) (2009) and the SeaWinds-2 on NASDA ADEOS-II (10 months ...
doi:10.1002/2013jc009648
fatcat:2tkwjofstjd6va2kwttjckjzky
Estimation of Tropical Cyclone's Intensity Using TRMM/TMI Brightness Temperature Data
2007
Journal of the Meteorological Society of Japan
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, and the TC maximum wind speed from the TC best track data, and/or observed by microwave scatterometers (QuikSCAT and SeaWinds). ...
A new method for the estimation of tropical cyclone (TC) intensity utilizing 10, 19, 21, 37 and 85 GHz channel TRMM Microwave Imager (TMI) data from 1999 to 2003 is developed. ...
Shibata and Dr. C. S. Velden for helpful comments to our research, and Dr. Rajendran for improving our English expression in writing this paper. ...
doi:10.2151/jmsj.85.437
fatcat:wvpikmcv7zcvjo6ilq5i5m334q
QuikSCAT geophysical model function for tropical cyclones and application to Hurricane Floyd
2001
IEEE Transactions on Geoscience and Remote Sensing
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To account for the effects of precipitation, we analyze the co-located rain rates from the Special Sensor Microwave/Imager (SSM/I) and propose the rain rate as a parameter of the GMF. ...
We perform an error analysis by comparing the QuikSCAT winds with the analyses fields from the National Oceanic and Atmospheric Administration (NOAA) Hurricane Research Division (HRD). ...
Freilich and B. Vanhoff of the Oregon State University and F. Wentz of Remote Sensing Systems for making the collocated SSM/I products available for this investigation. ...
doi:10.1109/36.974995
fatcat:k4dv77o5mzcghbbmlbcadpcaki
Quikscat wind retrievals for tropical cyclones
2003
IEEE Transactions on Geoscience and Remote Sensing
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One is derived from the collocated QuikSCAT and Special Sensor Microwave/Imager (SSM/I) dataset, and the other one is a published parametric model developed for rain radars. ...
The use of QuikSCAT data for wind retrievals of tropical cyclones is described. The evidence of QuikSCAT 0 dependence on wind direction for 30-m/s wind speeds is presented. ...
Freilich and B. Vanhoff (Oregon State University) and F. Wentz (Remote Sensing Systems) for making the collocated SSM/I products and monthly rain column height maps available for this investigation. ...
doi:10.1109/tgrs.2003.814913
fatcat:ppvl36zyobbtrlrwoyu6fgpj3e
Global Daily High-Resolution Satellite-Based Foundation Sea Surface Temperature Dataset: Development and Validation against Two Definitions of Foundation SST
2016
Remote Sensing
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By using simultaneous
observations by microwave and infrared radiometers on the Advanced Earth Observing Satellite
II (ADEOS-II), it was pointed out [51] that a large footprint size of microwave radiometer ...
Difference characteristics of sea surface
temperature observed by GLI and AMSR aboard ADEOS-II. J. Oceanogr. 2006, 62, 339–350.
52. Gloersen, P.; Cavalieri, D.J. ...
doi:10.3390/rs8110962
fatcat:oqvwc7ofvzhdhgmr6svsypbzhe
QuikSCAT wind retrievals for tropical cyclones
2003
Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)
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One is derived from the collocated QuikSCAT and Special Sensor Microwave/Imager (SSM/I) dataset, and the other one is a published parametric model developed for rain radars. ...
The use of QuikSCAT data for wind retrievals of tropical cyclones is described. The evidence of QuikSCAT 0 dependence on wind direction for 30-m/s wind speeds is presented. ...
Freilich and B. Vanhoff (Oregon State University) and F. Wentz (Remote Sensing Systems) for making the collocated SSM/I products and monthly rain column height maps available for this investigation. ...
doi:10.1109/oceans.2003.178483
fatcat:uxnl74suxrbsteqgoi2hmgnbha
Arctic-wide operational sea ice drift from enhanced-resolution QuikScat/SeaWinds scatterometry and its validation
2006
IEEE Transactions on Geoscience and Remote Sensing
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The algorithm has been validated with winter 2002/2003 buoy data from the International Arctic Buoy Program showing error standard deviations in the 48-h displacement of 3.1 and 3.2 km in the latitude ...
The near-real-time enhanced-resolution QuikScat/SeaWinds (QS) scatterometry composite data are used for daily automatic 48-h sea ice tracking by maximum cross-correlation over the entire Arctic. ...
Unfortunately, as the follow-up mission with a SeaWinds sensor on ADEOS-2 failed in October 2003, the possibility for continuation of this dataset is uncertain, despite the fact that it is a relatively ...
doi:10.1109/tgrs.2005.859352
fatcat:s7qy3yzucbf43iaywg554t4zra
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