21 years of Mediterranean SST. Re-analysis and validation
نویسندگان
چکیده
Observing The Mediterranean Sea from space: 21 years of Pathfinder-AVHRR Sea Surface Temperatures (1985 to 2005). Re-analysis and validation S. Marullo, B. Buongiorno Nardelli, M. Guarracino, and R. Santoleri ENEA – Centro Ricerche Frascati, Via Enrico Fermi, 45, 00044 Frascati, Italia CNR – Istituto di Scienze dell’Atmosfera e del Clima, Gruppo Oceanografia da Satellite, Via del Fosso del Cavaliere, 100, 00133 Roma, Italia Received: 17 July 2006 – Accepted: 3 August 2006 – Published: 8 August 2006 Correspondence to: S. Marullo ([email protected])
منابع مشابه
Observing The Mediterranean Sea from space: 21 years of Pathfinder-AVHRR Sea Surface Temperatures (1985 to 2005). Re-analysis and validation
The time series of satellite infrared AVHRR data from 1985 to 2005 has been used to produce a daily series of optimally interpolated SST maps over the regular grid of the operational MFSTEP OGCM model of the Mediterranean basin. A complete validation of this OISST (Optimally Interpolated Sea Surface Temperature) product with in situ measurements has been performed in order to exclude any possib...
متن کاملDeriving a Sea Surface Temperature Record Suitable for Climate Change Research from the along - Track Scanning Radiometers
(SST) products currently available from the series of (Advanced) Along Track Scanning Radiometers, or (A)ATSRs, are found have small biases on regional scales (typically up to 0.3 K) and excellent error statistics in validation (~0.25 K or better). Long-term stability is at present poorly characterized. Work towards " version 3 " SSTs is under way within a project called (A)RC: (A)ATSR Re-analy...
متن کاملData assimilation into a Princeton Ocean Model of the Mediterranean Sea using advanced Kalman filters
This study investigates the effectiveness of the Singular Evolutive Extended Kalman filter (SEEK) and its variants (SEIK and SFEK filters) for data assimilation into a Princeton Ocean Model (POM) of the Mediterranean Sea. The SEEK filters are suboptimal Kalman filters based on the approximation of the filter's error covariance matrices by singular low-rank matrices, reducing in this way extensi...
متن کاملArtificial Neural Networks to reconstruct incomplete satellite data: application to the Mediterranean Sea Surface Temperature
Satellite data can be very useful in applications where extensive spatial information is needed, but sometimes missing data due to presence of clouds can affect data quality. In this study a methodology for pre-processing sea surface temperature (SST) data is proposed. The methodology, that processes measures in the visible wavelength, is based on an Artificial Neural Network (ANN) system. The ...
متن کاملInvestigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea
Considering the vast application of sea surface temperature in climatic and oceanic investigations, this parameter was studied in Oman Sea from 1986 to 2015. The SST was surveyed using trend analysis and Global and local Moran’s I spatial autocorrelation. In trend analysis, the Mann-Kendall test was used to determine the trend of SST changes and the Sen's Estimator method was used to examine th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006