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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1025694