Rain Identification in ASCAT Winds Using Singularity Analysis
5 pages, 3 figures, 1 table The Advanced Scatterometer (ASCAT) onboard the Metop satellite series is designed to measure the global ocean surface wind vector. Generally, ASCAT provides wind products at excellent quality. Occasionally, though, ASCAT-derived winds are degraded by rain. Therefore, iden...
| Published in: | IEEE Geoscience and Remote Sensing Letters |
|---|---|
| Main Authors: | , , , , |
| Format: | Article in Journal/Newspaper |
| Language: | unknown |
| Published: |
Institute of Electrical and Electronics Engineers
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10261/103114 https://doi.org/10.1109/LGRS.2014.2298095 |
| Summary: | 5 pages, 3 figures, 1 table The Advanced Scatterometer (ASCAT) onboard the Metop satellite series is designed to measure the global ocean surface wind vector. Generally, ASCAT provides wind products at excellent quality. Occasionally, though, ASCAT-derived winds are degraded by rain. Therefore, identification of rain can help to better understand the rain impact on scatterometer wind quality and to develop a proper quality control (QC) approach for scatterometer data processing. In this letter, an image processing method, known as singularity analysis (SA), is used to detect the presence of rain such that rain-contaminated wind vector cells are flagged. The performance of SA for rain detection is validated using ASCAT Level-2 data collocated with satellite radiometer rain data. The rain probability as a function of SA singularity exponent is calculated and compared with other rain sensitive parameters, such as the wind inversion residual or maximum-likelihood estimator (MLE). The results indicate that the SA is effective in detecting ASCAT rain-contaminated data. Moreover, SA is a complementary rain indicator to the MLE parameter, thus showing great potential for an improved scatterometer QC. © 2014 IEEE This work was supported in part by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (SAF) Associated Scientist project under Reference OSIAVS-12-04 and in part by the Spanish Ministry of Science and Innovation (MICINN) National R&D project under Reference AYA2012-39356-C05-03 Peer Reviewed |
|---|