Title :
A Ku-Band Active/Passive Wind Vector Retrieval Over the Ocean
Author :
Alsweiss, Suleiman ; Laupattarakasem, Pet ; Jones, W. Linwood ; Roeder, Robert
Author_Institution :
Central Florida Remote Sensing Lab., Univ. of Central Florida, Orlando, FL
Abstract :
This work investigates the design of an innovative conical scanning Ku-band (13.4 GHz) scatterometer/radiometer for measuring ocean vector winds. The sensor design is based upon actual measurements obtained by the SeaWinds scatterometer and the Advanced Microwave Scanning Radiometer (AMSR), which operated simultaneously on JAXA´s Advanced Earth Observing Satellite-II (ADEOS-II) during 2003. This new design combines the conventional forward and aft-looking two-beam microwave scatterometer (SeaWinds) measurements with simultaneous linearly polarized passive microwave brightness temperatures. The unique aspect of this remote sensing technique is that it operates at a single microwave frequency, and it combines vertical and horizontal polarized microwave brightness temperatures with the scatterometer normalized cross sections to retrieve unambiguous ocean wind vectors. This technique has the potential to significantly improve the Ocean Vector Winds retrievals for future conical-scanning microwave scatterometers.
Keywords :
atmospheric techniques; radiometers; remote sensing; remote sensing by radar; spaceborne radar; wind; AD 2003; ADEOS-II; AMSR; Advanced Microwave Scanning Radiometer; JAXA Advanced Earth Observing Satellite-II; Ku-band active/passive wind vector retrieval algorithm; SeaWinds scatterometer; frequency 13.4 GHz; ocean vector winds measurement; polarized microwave brightness temperatures; scatterometer normalized cross sections; sensor design; two-beam microwave scatterometer; Brightness temperature; Earth; Microwave measurements; Microwave radiometry; Microwave sensors; Microwave theory and techniques; Oceans; Polarization; Radar measurements; Sea measurements; ADEOS-II OVW simulation; AMSR; SeaWinds scatterometer; active/passive remote sensing; ocean wind vector retrieval;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4778805