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/Physical Oceanography/Temperature

14 record(s)
 
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  • This product provides a gap free map of sea surface temperature at high resolution (UHR) on a 0.1 x 0.1 degree grid (approximately 10 x 10 km) for the Global Ocean, every 24 hours. It combines the nighttime observations of several infrared and microwave spaceborn instruments over a period of 24 hours.

  • Advanced Along-Track Scanning Radiometer multimission data have been reprocessed to provide update retrievals of Sea Surface Temperature (SST) to produce the AATSR Reprocessing for Climate (ARC) dataset.

  • The In Situ Analysis System (ISAS) was developed to produce gridded fields of temperature and salinity that preserve as much as possible the time and space sampling capabilities of the Argo network of profiling floats. Since the first global re-analysis performed in 2009, the system has been extended to accommodate all types of vertical profile as well as time series. ISAS gridded fields are entirely based on in-situ measurements. The system aims at monitoring the time evolution of ocean properties for climatological studies and allowing easy computation of climate indices. A careful delayed mode processing of the 2002-2015 dataset has been carried out using version 7 of ISAS and updating the statistics to produce the ISAS-15 analysis.

  • The In Situ Analysis System (ISAS) was developed to produce gridded fields of temperature and salinity that preserve as much as possible the time and space sampling capabilities of the Argo network of profiling floats. The ISAS-SSS configuration provide Sea Surface Salinity gridded fields from in-situ measurements including Argo, Moorings, Marine Mammals, GOSUD Thermosalinometer SSS measurements from delayed mode SNO-SSS merchant ships (http://www.legos.obs-mip.fr/observations/sss), French research vessels (http://doi.org/10.17882/39475) and sails (http://doi.org/10.17882/39476). A careful delayed mode processing of the 2002-2015 dataset has been carried out using version 7 of ISAS and updating the statistics to produce the ISAS-15 analysis. The ISAS-SSS fields appears as highly valuable for the "calibration and validation" of the new satellite observations delivered by SMOS, Aquarius and SMAP.

  • This L4 SST product is produced at ultra-high resolution (UHR) on a 0.02 x 0.02 degree grid (approximately 2 x 2 km) for the Tropical Atlantic area, every 24 hours. Optimal interpolation (OI) techniques are used to combine coincident swath measures of SST from different types of sensor and to fill gaps where no observations are available. Whereas swath data essentially represent the skin or sub-skin SST, the L4 SST product is defined to represent the SST foundation (SSTfnd). SSTfnd is defined within GHRSST-PP as the temperature at the base of the diurnal thermocline. It is so named because it represents the foundation temperature on which the diurnal thermocline develops during the day. SSTfnd changes only gradually along with the upper layer of the ocean, and by definition it is independent of skin SST fluctuations due to wind- and radiation-dependent diurnal stratification or skin layer response. It is therefore updated at intervals of 24 hrs. SSTfnd corresponds to the temperature of the upper mixed layer which is the part of the ocean represented by the top-most layer of grid cells in most numerical ocean models. It is never observed directly by satellites, but it comes closest to being detected by a microwave radiometer which penetrates the skin, at dawn when the previous day's diurnal stratification can be assumed to have decayed and SSTsubskin, SSTdepth and SSTfnd are equal.

  • The binned Sea Surface Salinity, Temperature and Density data set covers regularly sampled ship-of-opportunity lines. It is based on data collected from 1993 to 2018 from Voluntary Observing Ships subsequently validated. This monthly product is binned with monthly total values deviations and then deviations from climatology in each bin, with additional 1-2-1 time filter applied on the averages. Along B-AX01, some gaps were filled with additional data located one degree north or south of the grid boxes.

  • This compilation of Sea Surface Salinity data collected in the three tropical oceans (30°N–30°S) is derived mainly from 13 trans-oceanic Voluntary Observing Ships tracks and from 35 TAO/TRITON and 13 PIRATA mooring sites. Details about validation procedures can be found in the reference publication.

  • The gridded Sea Surface Salinity (SSS) data set covers the region between 120°E – 70°W and 30°N – 30°S in the Pacific Ocean. It is based on available data collected from 1950 to 2009 mostly from Voluntary Observing Ships, TAO/TRITON moorings and Argo profilers, with complementary hydrocasts, STD, and CTD data collected during research cruises, and subsequently validated. This monthly SSS product is gridded using an objective mapping at the spatial resolution 1° x 1°. It is distributed with its associated error fields. It is an update of the SSS product presented in Delcroix et al (2011).

  • The annually binned Sea Surface Salinity data set covers a large part of the Atlantic Ocean (75°W-10°E, 20°S-70°N). It is based on salinity near-surface data collected since December 1895 to 2016 from all data sources, including Voluntary Observing Ships subsequently validated. This annual product presents Atlantic SSS 32 grid box anomaly and error time-series (for boxes 1 to 26, year 2016 not smoothed 1-2-1), as well as Atlantic SSS grid box coordinates and March-May mean climatology. The SSS binned time series are an update from the 1896-2013 time series (Friedman et al., 2017).

  • The gridded Sea Surface Salinity (SSS) data set covers the region between 95°W – 20°E and 50°N – 30°S in the Atlantic Ocean. It is based on available data collected from 1970 to 2016 mostly from Voluntary Observing Ships, PIRATA moorings and Argo profilers, and subsequently validated. This monthly SSS product is gridded using an objective mapping at the spatial resolution 1° x 1°. It is distributed with its associated error fields. It is an update of the SSS product presented in Reverdin et al (2007).