Salinity Rain Impact Model (Rim) Optimization: Preliminary Results
Keywords
rain rate; Sea surface salinity; stratification
Abstract
Based upon research with the Aquarius (AQ) satellite remote sensor, a rain impact model (RIM) has been developed which estimates the occurrence of sea surface salinity (SSS) stratification. RIM uses global salinity (HYCOM) and rainfall (CMORPH) products to estimate the transient change in SSS due to rainfall. Previously SSS predicted by RIM have exhibited good correlations with AQ, but the choice for the duration window (24 h) was arbitrary. In this paper, we examine the effect on RIM of different time duration windows.
Publication Date
12-1-2017
Publication Title
International Geoscience and Remote Sensing Symposium (IGARSS)
Volume
2017-July
Number of Pages
2939-2942
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/IGARSS.2017.8127614
Copyright Status
Unknown
Socpus ID
85041808259 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85041808259
STARS Citation
Jacob, Maria; Jones, W. Linwood; Drushka, Kyla; Santos-Garcia, Andrea; and Asher, William, "Salinity Rain Impact Model (Rim) Optimization: Preliminary Results" (2017). Scopus Export 2015-2019. 7132.
https://stars.library.ucf.edu/scopus2015/7132