DocumentCode
2105069
Title
The Ocean Algorithm Suite for the Conical-scanning Microwave Imaging/Sounder (CMIS)
Author
Meissner, Thomas ; Wentz, Frank
Author_Institution
Remote Sensing Syst., Santa Rosa, CA, USA
Volume
2
fYear
2002
fDate
2002
Firstpage
813
Abstract
The CMIS Ocean Algorithm Suite retrieves sea surface temperature (SST) as well as sea surface wind speed and direction. We Monte-Carlo simulate ocean brightness temperatures, which are received by the CMIS sensor using a physical radiative transfer model (RTM), geophysical parameters from a numerical weather prediction (NWP) model and add sensor errors. The SST and wind speed algorithms are statistical regressions. The algorithm for retrieving wind direction is a combination of statistical regressions, maximum likelihood estimate and median filtering. One part of the simulated data is used for tuning the algorithm and one part is retained for evaluating the algorithm performance.
Keywords
atmospheric techniques; oceanographic techniques; radiometry; remote sensing; wind; 6 to 37 GHz; CMIS; Conical-Scanning Microwave Imaging/Sounder; Monte-Carlo method; Ocean Algorithm Suite; SST; algorithm; measurement technique; microwave radiometry; ocean; radiative transfer model; remote sensing; sea surface temperature; simulation; wind; wind direction; wind speed; Acoustic imaging; Acoustic sensors; Brightness temperature; Microwave imaging; Ocean temperature; Predictive models; Sea surface; Temperature sensors; Weather forecasting; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN
0-7803-7536-X
Type
conf
DOI
10.1109/IGARSS.2002.1025694
Filename
1025694
Link To Document