Daily high-resolution-blended analyses for sea surface temperature

被引:3513
作者
Reynolds, Richard W.
Smith, Thomas M.
Liu, Chunying
Chelton, Dudley B.
Casey, Kenneth S.
Schlax, Michael G.
机构
[1] NOAA, Natl Climatic Data Ctr, Asheville, NC 28801 USA
[2] Univ Maryland, NOAA, NESDIS, CICS ESSIC, College Pk, MD USA
[3] Oregon State Univ, Cooperat Inst Oceanog Satellite Stud, Coll Oceanog & Atmospheric Sci, Corvallis, OR USA
[4] NOAA, Natl Oceanog Data Ctr, Silver Spring, MD USA
关键词
EXTENDED RECONSTRUCTION; CLIMATE RESEARCH; IN-SITU; SST; INTERPOLATION; RADIOMETER; ALGORITHM; OCEAN; ICE;
D O I
10.1175/2007JCLI1824.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Two new high-resolution sea surface temperature (SST) analysis products have been developed using optimum interpolation (OI). The analyses have a spatial grid resolution of 0.25 degrees and a temporal resolution of 1 day. One product uses the Advanced Very High Resolution Radiometer (AVHRR) infrared satellite SST data. The other uses AVHRR and Advanced Microwave Scanning Radiometer (AMSR) on the NASA Earth Observing System satellite SST data. Both products also use in situ data from ships and buoys and include a large-scale adjustment of satellite biases with respect to the in situ data. Because of AMSR's near-all-weather coverage, there is an increase in OI signal variance when AMSR is added to AVHRR. Thus, two products are needed to avoid an analysis variance jump when AMSR became available in June 2002. For both products, the results show improved spatial and temporal resolution compared to previous weekly 1 degrees OI analyses. The AVHRR-only product uses Pathfinder AVHRR data (currently available from January 1985 to December 2005) and operational AVHRR data for 2006 onward. Pathfinder AVHRR was chosen over operational AVHRR, when available, because Pathfinder agrees better with the in situ data. The AMSR AVHRR product begins with the start of AMSR data in June 2002. In this product, the primary AVHRR contribution is in regions near land where AMSR is not available. However, in cloud-free regions, use of both infrared and microwave instruments can reduce systematic biases because their error characteristics are independent.
引用
收藏
页码:5473 / 5496
页数:24
相关论文
共 42 条
[1]  
[Anonymous], 1996, 120 NOAA
[2]   Deriving long-term time series of sea ice cover from satellite passive-microwave multisensor data sets [J].
Cavalieri, DJ ;
Parkinson, CL ;
Gloersen, P ;
Comiso, JC ;
Zwally, HJ .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1999, 104 (C7) :15803-15814
[3]   Cloud detection from a sequence of SST images [J].
Cayula, JF ;
Cornillon, P .
REMOTE SENSING OF ENVIRONMENT, 1996, 55 (01) :80-88
[4]   Global microwave satellite observations of sea surface temperature for numerical weather prediction and climate research [J].
Chelton, DB ;
Wentz, FJ .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2005, 86 (08) :1097-+
[5]  
Donlon CJ, 2002, J CLIMATE, V15, P353, DOI 10.1175/1520-0442(2002)015<0353:TIVOSS>2.0.CO
[6]  
2
[7]   Accuracy of in situ sea surface temperatures used to calibrate infrared satellite measurements [J].
Emery, WJ ;
Baldwin, DJ ;
Schlüssel, P ;
Reynolds, RW .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2001, 106 (C2) :2387-2405
[8]  
Hock R, 1999, GEOGR ANN A, V81A, P611, DOI 10.1111/j.0435-3676.1999.00089.x
[9]  
Kagan R.L., 1979, Averaging of Meteorological Fields
[10]   Satellite-based high-resolution global optimum interpolation sea surface temperature data [J].
Kawai, Yoshimi ;
Kawamura, Hiroshi ;
Takahashi, Shin ;
Hosoda, Kohtaro ;
Murakami, Hiroshi ;
Kachi, Misako ;
Guan, Lei .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2006, 111 (C6)