Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Sea surface temperature retrievals optimized to the East Sea (Sea of Japan) using NOAA AVHRR data
Autore:
Park, KA; Chung, JY; Kim, K; Choi, BH; Lee, DK;
Indirizzi:
Seoul Natl Univ, Res Inst Basic Sci, Seoul, South Korea Seoul Natl Univ Seoul South Korea es Inst Basic Sci, Seoul, South Korea Seoul Natl Univ, Res Inst Oceanog, Seoul, South Korea Seoul Natl Univ Seoul South Korea Res Inst Oceanog, Seoul, South Korea Sung Kyun Kwan Univ, Dept Civil Engn, Swon, South Korea Sung Kyun Kwan Univ Swon South Korea Dept Civil Engn, Swon, South Korea Pusan Natl Univ, Dept Ocean Sci, Pusan 609735, South Korea Pusan Natl Univ Pusan South Korea 609735 Sci, Pusan 609735, South Korea
Titolo Testata:
MARINE TECHNOLOGY SOCIETY JOURNAL
fascicolo: 1, volume: 33, anno: 1999,
pagine: 23 - 35
SICI:
0025-3324(199921)33:1<23:SSTROT>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
ALGORITHMS; OCEAN;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Park, KA Seoul Natl Univ, Res Inst Basic Sci, Seoul, South Korea Seoul Natl Univ Seoul South Korea asic Sci, Seoul, South Korea
Citazione:
K.A. Park et al., "Sea surface temperature retrievals optimized to the East Sea (Sea of Japan) using NOAA AVHRR data", MAR TECH SJ, 33(1), 1999, pp. 23-35

Abstract

The accuracy of sea surface temperatures derived by NOAA/NESDIS (National Oceanic and Atmospheric Administration/National Environmental Satellite, Data, and Information Service) equations was tested by comparison With temperatures measured by thirty-four satellite-tracked ARGOS drifters deployed inthe East Sea (Sea of Japan) from 1993 to 1997. Using an improved cloud-screening algorithm for the East Sea, we obtained 362 matchup points between the NOAA satellite data (NOAA-11, NOAA-12, and NOAA-14) and the drifter buoytemperatures. The split window technique of linear MCSST, non-linear CPSSTand NLSST showed relatively small rms (root mean square) errors in the range of 0.9 degrees C to 1.2 degrees C compared with the other window methods. However, a predominant trend was found that satellite-derived SSTs are underestimated by as much as -2 degrees C in dry atmospheric conditions during winter, and overestimated in very humid conditions in summer by approximately 2 degrees C. The characteristic trend was removed using a regression method, and the mts errors of newly-derived equations for the split window MCSST and the non-linear SST optimized to the East Sea were improved to within 0.3 degrees C similar to 0.9 degrees C. The locally-optimized SSTs may be more important than the SSTs based on the global database, particularly in the inaccessible regions off North Korea and sea ice regions that are important for the critical research issue of cold water formation in, the EastSea.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/01/20 alle ore 03:52:32