Abstract
Based on the analysis of the quality level in a Pathfinder 4km daily nighttime Sea Surface Temperature product (PFSST) in the East China Seas (ECS) from 1985 to 2004, the proportion of high-quality data was lower than that in the global level. Additionally, the PFSST maps showed clearly the void and anomaly data impacted by atmospheric contamination. In order to solve the above problem, an optimal algorithm was established through introducing the structure function, setting up the daily first-guess sea surface temperature (SST) field and taking PFSST product of the highest quality as reference points. Comparisons were done between this optimally interpolated SST and the selected original PFSST and the simultaneous in situ measurements. It illustrated it was possible to exactly estimate the SST values in the ECS during the recent two decades. The mean bias error and the root mean square error between data sets optimally evaluated and in situ observed were lower than those between the previous global estimations and in situ measurnments.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Bao X, Wan X, Gao G, Wu D (2002) The characteristics of the seasonal variability of the sea surface temperature field in the Bohai Sea, the Huanghai Sea and the East China Sea from AVHRR data. Acta Oceanol Sin 24(5):125–133
Bretherton FP, Davis RE, Fandry CB (1976) A technique for objective analysis and design of oceanographic experiments applied to MODE-73. Deep-Sea Res 23:559–582
Gandin LS (1965) Objective analysis of meteorological fields. Israel Program for Scientific Translation, Jerusalem, 242 p
Gao G, Qian C, Bao X, Shi M (2001) Difference between the PFSST and the in-situ data in East China Sea. Acta Oceanol Sin 23(4):121–126
Kearns EJ, Hanafin JA, Evans RH, Minnett PJ, Brown OB (2000) An independent assessment of Pathfinder AVHRR sea surface temperature accuracy using the Marine-Atmosphere Emitted Radiance Interferometer (M-AERI). B Am Meteorol Soc 81:1525–1536
Kilpatrick KA, Podesta GP, Evans R (2001) Overview of the NOAA/NASA advanced very high resolution radiometer Pathfinder algorithm for sea surface temperature and associated matchup database. J Geophys Res 106(C5):9179–9197
Marullo S, Nardelli BB, Guarracino M, Santoleri R (2007) Observing the Mediterranean Sea from space: 21 years of Pathfinder-AVHRR sea surface temperatures (1985–2005): re-analysis and validation. Ocean Sci 3:299–310
Minnett PJ (2003) Radiometric measurements of the sea-surface skin temperature: the competing roles of the diurnal thermocline and the cool skin. Int J Rem Sens 24(24):5033–5047
Paden CA, Abbott MR, Winant CD (1991) Tidal and Atmospheric Forcing of the Upper Ocean in the Gulf of California. 1. Sea Surface Temperature Variability. J Geophys Res 96(C10): 18337–18359
Walker AE, Wilkin (1998) Optimal averaging of NOAA/NASA Pathfinder satellite sea surface temperature data. J Geophys Res 103(C6):12869–12883
Walton CC, Pichel WG, Sapper JF, May D (1998a) The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar-orbiting environmental satellites. J Geophys Res 103(C12):27999–28012
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Song, D., Bao, X., Wang, X.H. et al. The optimization algorithm for the pathfinder sea surface temperature in the East China Seas. Ocean Sci. J. 44, 11–19 (2009). https://doi.org/10.1007/s12601-009-0002-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12601-009-0002-7