*This version has been superseded by a newer version. It is highly recommended for users to access the current version. Users should only access this superseded version for special cases, such as reproducing studies. If necessary, this version can be accessed by contacting NCEI.* The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is derived from two independent analyses: the Extended Reconstructed Sea Surface Temperature (ERSST) analysis and the land surface temperature (LST) analysis using the Global Historical Climatology Network (GHCN) temperature database. The data is merged into a monthly global surface temperature dataset dating back from 1880 to the present, updated monthly, in gridded (5 degree x 5 degree) and time series formats. This data set is used in climate monitoring assessments of near-surface temperatures on a global scale. The changes from version 3.5.4 to version 4.0.0 include an update to the primary input dataset (ERSST) now at version 4.0.0 and GHCN-Monthly now at version 3.3.0. This dataset is formerly known as Merged Land-Ocean Surface Temperature (MLOST).

The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is a monthly global merged land-ocean surface temperature analysis product that is derived from two independent analyses. The first is the Extended Reconstructed Sea Surface Temperature (ERSST) analysis and the second is a land surface air temperature (LSAT) analysis that uses the Global Historical Climatology Network - Monthly (GHCN-M) temperature database. The NOAAGlobalTemp data set contains global surface temperatures in gridded (5° × 5°) and monthly resolution time series (from 1850 to present time) data files. The product is used in climate monitoring assessments of near-surface temperatures on a global scale. This version, v6.0, an updated version to the current operational release v5.1, is implemented by an Artificial Neural Network method to improve the surface temperature reconstruction over the land.

The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is a monthly global merged land-ocean surface temperature analysis product that is derived from two independent analyses. The first is the Extended Reconstructed Sea Surface Temperature (ERSST) analysis and the second is a land surface air temperature (LSAT) analysis that uses the Global Historical Climatology Network - Monthly (GHCN-M) temperature database. The NOAAGlobalTemp data set contains global surface temperatures in gridded (5° × 5°) and monthly resolution time series (from 1850 to present time) data files. The product is used in climate monitoring assessments of near-surface temperatures on a global scale. This version, v6.0, an updated version to the current operational release v5.1, is implemented by an Artificial Neural Network method to improve the surface temperature reconstruction over the land.

The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is a blended product from two independent analysis products: the Extended Reconstructed Sea Surface Temperature (ERSST) analysis and the land surface temperature (LST) analysis using the Global Historical Climatology Network (GHCN) temperature database. The data is merged into a monthly global surface temperature dataset dating back from 1880 to the present. The monthly product output is in gridded (5 degree x 5 degree) and time series formats. The product is used in climate monitoring assessments of near-surface temperatures on a global scale. The changes from version 4 to version 5 include an update to the primary input datasets: ERSST version 5 (updated from v4), and GHCN-M version 4 (updated from v3.3.3). Version 5 updates also include a new netCDF file format with CF conventions. This dataset is formerly known as Merged Land-Ocean Surface Temperature (MLOST).

*This version has been superseded by a newer version. It is highly recommended for users to access the current version. Users should only access this superseded version for special cases, such as reproducing studies. If necessary, this version can be accessed by contacting NCEI.* The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is a blended product from two independent analysis products: the Extended Reconstructed Sea Surface Temperature (ERSST) analysis and the land surface temperature (LST) analysis using the Global Historical Climatology Network (GHCN) temperature database. The data is merged into a monthly global surface temperature dataset dating back from 1850 to the present. The monthly product output is in gridded (5 degree x 5 degree) and time series formats. The product is used in climate monitoring assessments of near-surface temperatures on a global scale. Changes to the data in version 5.1 included: removing the EOT filtering; filling in data gaps over the polar regions; and extending the beginning data coverage from 1880 to 1850.

This archive covers two high resolution sea surface temperature (SST) analysis products developed using an optimum interpolation (OI) technique. The analyses have a spatial grid resolution of 0.25 degree and temporal resolution of 1 day. One product uses Advanced Very High Resolution Radiometer (AVHRR) infrared satellite data, while the other uses satellite data from both AVHRR and the Advanced Microwave Scanning Radiometer from NASA Earth Observing System (AMSR-E). Both products also use sea-ice data, in situ data from ships and buoys, and include a large-scale adjustment of satellite biases with respect to the in situ data. Two products are needed because of the increase in signal variance from AMSR-E due to its near all-weather coverage. For both products, the results show improved spatial and temporal resolution compared to heritage weekly 1.0 degree OISST analyses from the NWS NCEP. The AVHRR-only product uses Pathfinder AVHRR data, when available, from September 1981 through December 2005, and operational Navy AVHRR data for 2006 onwards. Pathfinder AVHRR was chosen because of good agreement with the in situ data. The combined AMSR-E and AVHRR product begins with the start of AMSR data in June 2002 and ends in October 2011, when the AMSR-E instrument ceased to function properly. In this second product, the primary AVHRR contribution is in regions near land where AMSR-E is not available. However, in cloud-free regions, use of both infrared and microwave instruments reduces systematic biases because the error characteristics are independent. For both products, in areas where sea ice is present, SST is estimated from sea ice fraction datasets from NASA GSFC before 2005 and then from NWS NCEP from 2005 onwards. Preliminary products are produced daily in near real-time (1-day latency) and may be updated in the first few days if critical input data become available after the initial production time. After two weeks, a complete or final product is generated with no additional changes expected. The preliminary products from near real-time data productions began in October 2008 for Version 2.0.

This archive covers two high resolution sea surface temperature (SST) analysis products developed using an optimum interpolation (OI) technique. The analyses have a spatial grid resolution of 0.25 degree and temporal resolution of 1 day. One product uses Advanced Very High Resolution Radiometer (AVHRR) infrared satellite data, while the other uses satellite data from both AVHRR and the Advanced Microwave Scanning Radiometer from NASA Earth Observing System (AMSR-E). Both products also use sea-ice data, in situ data from ships and buoys, and include a large-scale adjustment of satellite biases with respect to the in situ data. Two products are needed because of the increase in signal variance from AMSR-E due to its near all-weather coverage. For both products, the results show improved spatial and temporal resolution compared to heritage weekly 1.0 degree OISST analyses from the NWS NCEP. The AVHRR-only product uses Pathfinder AVHRR data, when available, from September 1981 through December 2005, and operational Navy AVHRR data for 2006 onwards. Pathfinder AVHRR was chosen because of good agreement with the in situ data. The combined AMSR-E and AVHRR product begins with the start of AMSR data in June 2002 and ends in October 2011, when the AMSR-E instrument ceased to function properly. In this second product, the primary AVHRR contribution is in regions near land where AMSR-E is not available. However, in cloud-free regions, use of both infrared and microwave instruments reduces systematic biases because the error characteristics are independent. For both products, in areas where sea ice is present, SST is estimated from sea ice fraction datasets from NASA GSFC before 2005 and then from NWS NCEP from 2005 onwards. Preliminary products are produced daily in near real-time (1-day latency) and may be updated in the first few days if critical input data become available after the initial production time. After two weeks, a complete or final product is generated with no additional changes expected. The preliminary products from near real-time data productions began in October 2008 for Version 2.0.

This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Regional Science Consortium collected the data from station NOAA_RSC_A, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from Regional Science Consortium and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.