Merging and validation of multi-sensor remote sensing sea surface temperature in the China Sea

Author

Zhang, Caiyun ; Hong, Huasheng ; Shang, Shaoling

Author_Institution

State Key Lab. of Marine Environ. Sci., Fujian Key Lab. of Coastal Ecology & Environ. Studies, Xiamen Univ., Xiamen, China

fYear

2011

fDate

24-26 June 2011

Firstpage

4156

Lastpage

4159

Abstract

Using five kinds of satellite-derived sea surface temperature (SST) from infrared radiometers (AVHRR, MODIS/Aqua, MODIS/Terra) and microwave radiometers (TMI, AMSR), a set of high-quality, cloud-free, high-resolution (1/20°) merged SST product was generated through an optimum interpolation scheme. The area of merged SST product (OISST) [0-42°N, 95-150°E] covers the whole China Sea as well as the western North Pacific Ocean. Its time scale is daily. Validation with in situ SST and comparison with the OSTIA (Operational sea surface temperature and sea ice analysis) product showed that the data quality of OISST and OSTIA merged product was almost the same. They had good relationship with in-situ SST in the deep sea area with the root-mean square error (RMS) ~0.8~0.9K. However, in the very nearshore water, these two merged products were overestimated. The RMS could be up to >;1.9K. Integrated with the real-time in situ SST into merging process was suggested to improve the data quality for the nearshore water.

Keywords

data analysis; mean square error methods; ocean temperature; oceanographic regions; radiometers; remote sensing; sea ice; (AVHRR; Aqua; China Sea; MODIS; OISST data quality; OSTIA data quality; high-resolution merged SST product; infrared radiometer; microwave radiometer; multisensor remote sensing sea surface temperature; nearshore water analysis; optimum interpolation scheme; root-mean square error method; satellite-derived sea surface temperature; sea ice analysis; western North Pacific Ocean; MODIS; NASA; Ocean temperature; Sea measurements; Sea surface; Temperature measurement; AMSR; AVHRR; China Sea; MODIS; Merging; TMI; Validation; sea surface temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5965229

Filename

5965229