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Investigation of the effect of rain on sea surface salinity
| Title: | Investigation of the effect of rain on sea surface salinity. |
 37 views 17 downloads |
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| Name(s): |
Santos Garcia, Andrea, Author Jones, W Linwood, Committee Chair Mikhael, Wasfy, Committee Member Wahid, Parveen, Committee Member Junek, William, Committee Member Asher, William, Committee Member Wilheit, Thomas, Committee Member University of Central Florida, Degree Grantor |
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| Type of Resource: | text | |
| Date Issued: | 2016 | |
| Publisher: | University of Central Florida | |
| Language(s): | English | |
| Abstract/Description: | The Aquarius/SAC-D mission provided Sea Surface Salinity (SSS), globally over the ocean, for almost 4 years. As a member of the AQ/SAC-D Cal/Val team, the Central Florida Remote Sensing Laboratory has analyzed these salinity measurements in the presence of precipitation and has noted the high correlation between the spatial patterns of reduced SSS and the spatial distribution of rain. It was determined that this is the result of a cause and effect relation, and not SSS measurement errors. Thus, it is important to understand these salinity changes due to seawater dilution by rain and the associated near-surface salinity strati?cation. This research addresses the effects of rainfall on the Aquarius (AQ) SSS retrieval using a macro-scale Rain Impact Model (RIM). This model, based on the superposition of a one-dimension eddy diffusion (turbulent diffusion) model, relates SSS to depth, rainfall accumulation and time since rain. To identify instantaneous and prior rainfall accumulations, a Rain Accumulation product was developed. This product, based on the NOAA CMORPH precipitation data set, provides the rainfall history for 24 hours prior to the satellite observation time, which is integrated over each AQ IFOV. In this research results of the RIM validation are presented by comparing AQ and SMOS measured and RIM simulated SSS. The results show the high cross correlation for these comparisons and also with the corresponding SSS anomalies relative to HYCOM. | |
| Identifier: | CFE0006175 (IID), ucf:51133 (fedora) | |
| Note(s): |
2016-05-01 Ph.D. Engineering and Computer Science, Electrical Engineering and Computer Engineering Doctoral This record was generated from author submitted information. |
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| Subject(s): | Remote sensing -- salinity -- rain inmpact model -- cmorph -- aquarius -- smos -- rain accumulation | |
| Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFE0006175 | |
| Restrictions on Access: | public 2016-05-15 | |
| Host Institution: | UCF |
