JPL MUR SST

Events

MUR News

2017 Nov 20 : The "Preview Images" page has reduced functionality, such as zooming, under some browsers, such as Firefox from Mac OSX, recently. However, the MUR SST files are still produced as usual and accessible normally.

2017 Sep 12 : A new paper on the MUR SST analysis including its production details is published in the journal "Remote Sensing of Environment". The journal allows free access to the electronic copy from ScienceDirect website only for the next 30 days or so!

2016 July 12 : MUR introduces a new field called high-resolution data latency. Intended as a quality indicator for the analyzed high-resolution SST features, it indicates the latency time to the most recent ``1km data'' (MODIS) sample. The high-resolution data latency field, labeled as "dt-1km-data" in the MUR product files since 2016 / 180, reports the "relative sample time" with the smallest magnitude from either of the MODIS data sets. The "relative sample time" is simply the epoch of the data sampling minus the analysis time (09:00 UTC each day). The relative sample times from the MODIS data sets are grouped into 0.01-degrees-by-0.01-degrees bins around each grid point, and the value with the smallest magnitude in each bin is reported in the dt-1km-data field in the unit of hours.

If 1-km resolution SST data sets other than the MODIS data (such as the VIIRS data) are to be ingested by the MUR analysis in the future, the relative sample time values from such data sets would also be included.

The "dt-1km-data" field can be used to examine the quality of small-scale SST features found near a particular grid point. Even though the MUR analysis uses a progressively narrower synoptic window for data components with higher resolutions, exclusion of the day-time samples could lead to systematically high latency magnitudes in regions with certain longitudes.

The "dt-1km-data" field can also be used to turn MUR SST field into a "1-km resolution MODIS L3 (level 3)" analysis (with a caveat). Just use a threshold value and turn the dt-1km-data field into a "yes or no" field: if the magnitude of the field is within a threhold (say 6 hours) then the grid is "yes"; otherwise, "no". The SST values from all the "yes" grid points will form the "L3" analysis. The caveat is that MUR of course ingests data other than MODIS which would adjust the bias level in the MODIS data. These other data, however, would not smooth the MODIS SST features because MUR does multi-scale interpolation: MODIS is the only data that enters the interpolation at 4-km and 2-km scales today.

2016 May 26 : Please start using GDS2 Version of MUR SST. PO.DAAC will stop distributing the older (GDS1) version soon. Please note that GDS2 MUR has a slightly finer resolution (36000 x 17999 grid) than the previsou version!

2013 Nov 19 : The MUR SST for the dates 268 (Sep 25) through 289 (Oct 16) in year 2013 has previously used the NAVO VIIRS L2P data set as a (capable) replacement for the MODIS L2P data sets, whose supply was disrupted due to shutdown of some US Government services around those dates. Since then the supply of MODIS data sets has resumed. MUR SST has thus been reprocessed for the dates above using its normal mix of input data sets that inlucde MODIS but not VIIRS. Such reprocessing is now complete.

2013 Apr 01 : Version 4 of MUR Global SST starts production.


		Events The GHRSST Calendar MUR News 2017 Nov 20 : The "Preview Images" page has reduced functionality, such as zooming, under some browsers, such as Firefox from Mac OSX, recently. However, the MUR SST files are still produced as usual and accessible normally. 2017 Sep 12 : A new paper on the MUR SST analysis including its production details is published in the journal "Remote Sensing of Environment". The journal allows free access to the electronic copy from ScienceDirect website only for the next 30 days or so! 2016 July 12 : MUR introduces a new field called high-resolution data latency. Intended as a quality indicator for the analyzed high-resolution SST features, it indicates the latency time to the most recent ``1km data'' (MODIS) sample. The high-resolution data latency field, labeled as "dt-1km-data" in the MUR product files since 2016 / 180, reports the "relative sample time" with the smallest magnitude from either of the MODIS data sets. The "relative sample time" is simply the epoch of the data sampling minus the analysis time (09:00 UTC each day). The relative sample times from the MODIS data sets are grouped into 0.01-degrees-by-0.01-degrees bins around each grid point, and the value with the smallest magnitude in each bin is reported in the dt-1km-data field in the unit of hours. If 1-km resolution SST data sets other than the MODIS data (such as the VIIRS data) are to be ingested by the MUR analysis in the future, the relative sample time values from such data sets would also be included. The "dt-1km-data" field can be used to examine the quality of small-scale SST features found near a particular grid point. Even though the MUR analysis uses a progressively narrower synoptic window for data components with higher resolutions, exclusion of the day-time samples could lead to systematically high latency magnitudes in regions with certain longitudes. The "dt-1km-data" field can also be used to turn MUR SST field into a "1-km resolution MODIS L3 (level 3)" analysis (with a caveat). Just use a threshold value and turn the dt-1km-data field into a "yes or no" field: if the magnitude of the field is within a threhold (say 6 hours) then the grid is "yes"; otherwise, "no". The SST values from all the "yes" grid points will form the "L3" analysis. The caveat is that MUR of course ingests data other than MODIS which would adjust the bias level in the MODIS data. These other data, however, would not smooth the MODIS SST features because MUR does multi-scale interpolation: MODIS is the only data that enters the interpolation at 4-km and 2-km scales today. 2016 May 26 : Please start using GDS2 Version of MUR SST. PO.DAAC will stop distributing the older (GDS1) version soon. Please note that GDS2 MUR has a slightly finer resolution (36000 x 17999 grid) than the previsou version! 2013 Nov 19 : The MUR SST for the dates 268 (Sep 25) through 289 (Oct 16) in year 2013 has previously used the NAVO VIIRS L2P data set as a (capable) replacement for the MODIS L2P data sets, whose supply was disrupted due to shutdown of some US Government services around those dates. Since then the supply of MODIS data sets has resumed. MUR SST has thus been reprocessed for the dates above using its normal mix of input data sets that inlucde MODIS but not VIIRS. Such reprocessing is now complete. 2013 Apr 01 : Version 4 of MUR Global SST starts production.