RUSSIAN JOURNAL OF EARTH SCIENCES VOL. 9, ES3003, doi:10.2205/2007ES000283, 2007
[7] Analysis of interannual trends of SST was based on weekly mean MCSST (AVHRR, 1998; http://podaac.jpl.nasa.gov:2031/DATASET_DOCS/avhrr_wkly_mcsst.html) data with spatial and temporal resolution of 1/6o and one week. The SST data were derived from the AVHRR (Advanced Very High Resolution Radiometers) mounted on the NOAA satellites. These data are produced in the Physical Oceanography Distributed Active Archive Center of Jet Propulsion Laboratory since 1981 with the temperature resolution of about 0.3oC [McClain et al., 1985].
![]() |
Figure 1 |
[9] Analysis of interannual trends of SLA was based on the merged sea level anomaly products (data of ERS-2, TOPEX/Poseidon, Jason-1, ENVISAT, GFO-1 missions) of the Collecte Localisation Satellites CNES as part of the Environment and Climate European Commission Projects (ENACT - EVK2-CT2001-00117, AGORA - ENV4-CT956-0113 and DUACS - ENV44-T96-0357) [Le Traon et al., 1998, 2001]; (AVISO, 2002: SSALTO/DUACS User Handbook. CLS. AVI-NT-011-312-CN).
![]() |
Figure 2 |
![]() |
Figure 3 |
[11] Interannual or climatic trends of SST and SLA were calculated as linear regression for each grid point with spatial resolution of 0.5o. Results of these computations are shown in Figure 3.
Citation: 2007), Interannual trends in the Southern Ocean sea surface temperature and sea level from remote sensing data, Russ. J. Earth Sci., 9, ES3003, doi:10.2205/2007ES000283.
Copyright 2007 by the Russian Journal of Earth Sciences (Powered by TeXWeb (Win32, v.2.0).