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Global Attributes:	title: Coral Reef Temperature Anomaly Database (CoRTAD) Conventions: CF-1.6 Metadata_Conventions: Unidata Dataset Discovery v1.0 featureType: grid cdm_data_type: grid nodc_template_version: NODC_NetCDF_Grid_Template_v0.9 standard_name_vocabulary: CF-1.6 acknowledgment: Please acknowledge the use of these data with the following statement: These data were provided by GHRSST and the US National Oceanographic Data Center. This project was supported in part by a grant from the NOAA Climate Data Record (CDR) Program for satellites platform: NOAA-7, NOAA-9, NOAA-11, NOAA-9, NOAA-14, NOAA-16, NOAA-17, NOAA-18 platform_dates: NOAA-7 1981236-1985003, NOAA-9 1985004-1988312, NOAA-11 1988313-1994256, NOAA-9 1994257-1995021, NOAA-14 1995022-2000285, NOAA-16 2000286-2002365, NOAA-17 2003001-2005155, NOAA-18 2005156-2010365 sensor: AVHRR_GAC instrument: AVHRR_GAC processing_level: Level 4 product_version: V4 creator_name: Kenneth S. Casey creator_email: Kenneth.Casey@noaa.gov creator_url: http://www.nodc.noaa.gov/SatelliteData/Cortad/ project: Coral Reef Temperature Anomaly Database project_acronym: CoRTAD project_support: National Oceanographic Data Center (NODC), NOAA Coral Reef Conservation Program (CRCP) contributor_name: Elizabeth R. Selig contributor_role: Principal Investigator publisher_name: National Oceanographic Data Center (NODC) publisher_email: NODC.Services@noaa.gov publisher_url: http://www.nodc.noaa.gov/ date_issued: 20120101T000000Z references: http://pathfinder.nodc.noaa.gov and Casey, K.S., T.B. Brandon, P. Cornillon, and R. Evans: The Past, Present and Future of the AVHRR Pathfinder SST Program, in Oceanography from Space: Revisited, eds. V. Barale, J.F.R. Gower,and L. Alberotanza, Springer, 2010. DOI: 10.1007/978-90-481-8681-5_16. institution: US DOC; NOAA; National Environmental Satellite Data and Information Service; National Oceanographic Data Center spatial_resolution: 0.0417 degree geospatial_lat_units: degrees north geospatial_lat_resolution: 0.0417 degree geospatial_lon_units: degrees east geospatial_lon_resolution: 0.0417 degree northernmost_latitude: 89.97918 southernmost_latitude: 67.520836 easternmost_longitude: -90.020836 westernmost_longitude: -112.47917 geospatial_lat_max: 89.97918 geospatial_lat_min: 67.520836 geospatial_lon_max: -90.020836 geospatial_lon_min: -112.47917 geospatial_vertical_min: 0.0 geospatial_vertical_max: 0.0 geospatial_vertical_units: m geospatial_vertical_resolution: point geospatial_vertical_positive: down comment: The global grid is divided into 16 longitude ranges and 8 latitude ranges to create 128 tiles. This file contains the data for one of those tiles. keywords: Oceans > Ocean Temperature > Sea Surface Temperature keywords_vocabulary: NASA Global Change Master Directory (GCMD) Science Keywords Sea Surface Temperature summary: This netCDF-4 file contains a collection of sea surface temperature (SST) and related thermal stress metrics, developed specifically for coral reef ecosystem applications but relevant to other ecosystems as well. The CoRTAD contains global, approximately 4 km resolution SST data on a weekly time scale from 1981 through 2010 (Version 4). In addition to SST, it contains SST anomaly (SSTA, weekly SST minus weekly climatological SST), thermal stress anomaly (TSA, weekly SST minus the maximum weekly climatological SST), SSTA Degree Heating Week (SSTA_DHW, sum of previous 12 weeks when SSTA is greater than or equal to 1 degree C), SSTA Frequency (number of times over previous 52 weeks that SSTA is greater than or equal to 1 degree C), TSA DHW (TSA_DHW, also known as a Degree Heating Week, sum of previous 12 weeks when TSA is greater than or equal to 1 degree C),and TSA Frequency (number of times over previous 52 weeks that TSA is greater than or equal to 1 degree C). license: These data are available for use without restriction. naming_authority: gov.noaa.nodc uuid: 7237B0D7-0F42-4587-B0A9-DBB498C9DCD9 time_coverage_start: 19811031T000000Z time_coverage_end: 20101231T000000Z grid_mapping: Equidistant Cylindrical rows: 540.0 cols: 540.0 MATLAB_map_legend: 1.5, 90.000015, -112.50001 timesteps: 1522.0 date_created: 2012-04-27 id: 0087989 Time_Period_Covered: 1981-10-31 - 2010-12-31 metadata_link: accession.nodc.noaa.gov/0087989 nco_openmp_thread_number: 1 source: The weekly sea surface temperature is derived from Pathfinder 5.2 SST with the exception of 1994 day 256 through 1995 day 17. For this period Pathfinder 5.0 data was employed. This is due to the fact that as of the 5.2 prodution date the low level AVHRR data for this time period was of low quality or unavailable. NODC will fill in this gap in the V5.2 SST if and when it becomes available and subsequently reprocess these CorTAD data. NCO: 4.1.0 history: Wed Jun 13 21:29:30 2012: ncks -A climsst/ClimSSTcrtv4_row00_col03.nc cortadv4_row00_col03.nc Fri Jun 8 14:55:55 2012: ncatted -a source,global,o,c,The weekly sea surface temperature is derived from Pathfinder 5.2 SST with the exception of 1994 day 256 through 1995 day 17. For this period Pathfinder 5.0 data was employed. This is due to the fact that as of the 5.2 prodution date the low level AVHRR data for this time period was of low quality or unavailable. NODC will fill in this gap in the V5.2 SST if and when it becomes available and subsequently reprocess these CorTAD data. cortadv4_row00_col03.nc Fri Jun 8 13:30:55 2012: ncks -A /nodc/users/udadi/junk/cortad/bounds/bounds_row00_col03.nc cortadv4_row00_col03.nc Fri Jun 8 13:27:45 2012: ncatted -O -a _FillValue,WeeklySST\|MedfillSST\|FilledSST,c,s,-1100 cortadv4_row00_col03.nc Fri Jun 8 13:27:26 2012: ncatted -a comment,time,o,c,The week runs from Saturday through Friday. Time is the middle of the week (Tuesday). cortadv4_row00_col03.nc Fri Jun 8 13:27:04 2012: ncatted -a land_value,,m,c,-1100 cortadv4_row00_col03.nc Fri Jun 8 13:26:11 2012: ncatted -a missing_pixel_value,,m,c,-1110 cortadv4_row00_col03.nc Wed Jun 6 19:19:00 2012: ncpdq -O -a max_sd_mean_stats,ssta_stats_num,sst_stats_num,harm_num,yr_week,time,lat,lon cortadv4_row00_col03.nc cortadv4_row00_col03.nc MATLAB: tsmaster_v4.m

Variables:	time: Array of 32 bit Integers [time = 0..1521] time: standard_name: time long_name: reference time units: days since 1980-12-31 12:00:00 0:00 axis: T calendar: Gregorian bounds: time_bounds comment: The week runs from Saturday through Friday. Time is the middle of the week (Tuesday).
	time_bounds: Array of 64 bit Reals [time = 0..1521][nv = 0..1] time: nv: units: days since 1980-12-31 12:00:00 0:00 comment: time bounds for each time value
	lat: Array of 64 bit Reals [lat = 0..539] lat: standard_name: latitude units: degrees_north reference_datum: geographical coordinates, WGS84 projection grid_mapping: crs axis: Y valid_min: 67.520836 valid_max: 89.97918 bounds: lat_bounds
	lat_bounds: Array of 64 bit Reals [lat = 0..539][nv = 0..1] lat: nv: units: degrees_north comment: latitude values at the north and south bounds of each pixel.
	lon: Array of 64 bit Reals [lon = 0..539] lon: standard_name: longitude units: degrees_east reference_datum: geographical coordinates, WGS84 projection grid_mapping: crs axis: X valid_min: -112.47917 valid_max: -90.020836 bounds: lon_bounds
	lon_bounds: Array of 64 bit Reals [lon = 0..539][nv = 0..1] lon: nv: units: degrees_east comment: longitude values at the west and east bounds of each pixel.
	crs: Array of 32 bit Integers [nodim = 0..0] nodim: grid_mapping_name: latitude_longitude epsg_code: EPSG:4326 semi_major_axis: 6378137.0 inverse_flattening: 298.257223563
	Land: Grid lat: lon: _Unsigned: false scale_factor: 1.0 add_offset: 0.0 coordinates: lon lat standard_name: land_binary_mask long_name: A matrix showing which pixels are on land. No analyses take place at those locations.
	AllBad: Grid lat: lon: _Unsigned: false scale_factor: 1.0 add_offset: 0.0 coordinates: lon lat long_name: A matrix showing which pixels are always missing. These missing pixels are not gap-filled and no analysis takes place at those locations.
	NumberGood: Grid lat: lon: scale_factor: 1.0 add_offset: 0.0 coordinates: lon lat long_name: A matrix showing how many of the original SST observations are valid prior to any gap-filling. _ChunkSizes: 540, 540
	WeeklySST: Grid time: lat: lon: scale_factor: 0.01 add_offset: 273.15 coordinates: lon lat time standard_name: sea_surface_skin_temperature long_name: Gappy weekly SST time series for 1981-2010 units: Kelvin source: The weekly sea surface temperature is derived from Pathfiner 5.2 SST with the exception of 1994 day 256 through 1995 day 17. For this period Pathfinder 5.0 data was employed. This is due to the fact that as of the 5.2 prodution date the low level AVHRR data for this time period was of low quality or unavailable. NODC will fill in this gap in the V5.2 SST if and when it becomes available and subsequently reprocess these CorTAD data. missing_pixel_value: -1110 land_value: -1100 _FillValue: -1100 _ChunkSizes: 101, 90, 90
	MedfillSST: Grid time: lat: lon: scale_factor: 0.01 add_offset: 273.15 coordinates: lon lat time standard_name: sea_surface_skin_temperature long_name: Partially gap-filled weekly SST time series after median fill for 1981-2010 units: Kelvin source: The weekly sea surface temperature is derived from Pathfiner 5.2 SST with the exception of 1994 day 256 through 1995 day 17. For this period Pathfinder 5.0 data was employed. This is due to the fact that as of the 5.2 prodution date the low level AVHRR data for this time period was of low quality or unavailable. NODC will fill in this gap in the V5.2 SST if and when it becomes available and subsequently reprocess these CorTAD data. missing_pixel_value: -1110 land_value: -1100 _FillValue: -1100 _ChunkSizes: 101, 90, 90
	FilledSST: Grid time: lat: lon: scale_factor: 0.01 add_offset: 273.15 coordinates: lon lat time standard_name: sea_surface_skin_temperature long_name: Gap-free weekly SST time series for 1982-2009 after median spatial and temporal pchip interpolation units: Kelvin source: The weekly sea surface temperature is derived from Pathfiner 5.2 SST with the exception of 1994 day 256 through 1995 day 17. For this period Pathfinder 5.0 data was employed. This is due to the fact that as of the 5.2 prodution date the low level AVHRR data for this time period was of low quality or unavailable. NODC will fill in this gap in the V5.2 SST if and when it becomes available and subsequently reprocess these CorTAD data. missing_pixel_value: -1110 land_value: -1100 _FillValue: -1100 _ChunkSizes: 101, 90, 90
	SSTA: Grid time: lat: lon: add_offset: 273.15 coordinates: lon lat time long_name: Weekly SST Anomalies units: Kelvin scale_factor: 0.001 _ChunkSizes: 101, 90, 90
	TSA: Grid time: lat: lon: scale_factor: 0.01 add_offset: 273.15 coordinates: lon lat time long_name: Thermal Stress Anomalies (defined as SST minus Maximum Weekly Mean Climatological SST) units: Kelvin _ChunkSizes: 101, 90, 90
	ClimSST: Array of 64 bit Reals [yr_week = 0..52][lat = 0..539][lon = 0..539] yr_week: lat: lon: standard_name: sea_surface_skin_temperature scale_factor: 0.01 add_offset: 273.15 long_name: Climatological SST based on weekly SSTs for 1981-2010, created using harmonics approach. units: Kelvin _ChunkSizes: 16, 174, 174
	Harmonics: Array of 64 bit Reals [harm_num = 0..4][lat = 0..539][lon = 0..539] harm_num: lat: lon: scale_factor: 0.01 add_offset: 273.15 long_name: The five coefficients determined using the fit harmonics approach, from which ClimSST is evaluated. To convert the amplitudes (layers 1 and 3) or the long term mean (layer 5) to Kelvin, use a scale of scale and an offset of offset. To convert to deg C omit the offset. units: Kelvin _ChunkSizes: 1, 167, 167
	SST_Stats: Array of 64 bit Reals [sst_stats_num = 0..3][lat = 0..539][lon = 0..539] sst_stats_num: lat: lon: scale_factor: 1.0 add_offset: 273.15 long_name: Minimum, Maximum, Standard Deviation, and Mean of SST time series units: Kelvin _ChunkSizes: 2, 251, 251
	SSTA_Stats: Array of 64 bit Reals [ssta_stats_num = 0..4][lat = 0..539][lon = 0..539] ssta_stats_num: lat: lon: scale_factor: 1.0 add_offset: 273.15 long_name: Minimum, Maximum, Standard Deviation, Mean, and Mean of absolute values of SST Anomaly (SSTA) time series units: Kelvin _ChunkSizes: 1, 167, 167
	TSA_Stats: Array of 64 bit Reals [max_sd_mean_stats = 0..2][lat = 0..539][lon = 0..539] max_sd_mean_stats: lat: lon: scale_factor: 1.0 add_offset: 273.15 long_name: Maximum, Standard Deviation, and Mean of Thermal Stress Anomaly (TSA) time series. units: Kelvin _ChunkSizes: 1, 130, 130
	SSTA_Frequency: Grid time: lat: lon: scale_factor: 1.0 add_offset: 0.0 coordinates: lon lat time long_name: Frequency of SST Anomalies >= 1 deg C over previous 52 weeks units: weeks _ChunkSizes: 101, 90, 90
	SSTA_Frequency_Stats: Array of 16 bit Integers [max_sd_mean_stats = 0..2][lat = 0..539][lon = 0..539] max_sd_mean_stats: lat: lon: scale_factor: 1.0 add_offset: 0.0 long_name: Maximum, Standard Deviation, and Mean of SST Anomaly Frequency (SSTA_Frequency) time series units: weeks _ChunkSizes: 3, 540, 540
	SSTA_DHW: Grid time: lat: lon: scale_factor: 0.01 add_offset: 273.15 coordinates: lon lat time long_name: Sum of SST Anomalies >= 1 deg C over previous 12 weeks (SSTA Degree Heating Week) units: Kelvin _ChunkSizes: 101, 90, 90
	SSTA_DHW_Stats: Array of 64 bit Reals [max_sd_mean_stats = 0..2][lat = 0..539][lon = 0..539] max_sd_mean_stats: lat: lon: scale_factor: 1.0 add_offset: 273.15 long_name: Maximum, Standard Deviation, and Mean of SST Anomaly Degree Heating Week (SSTA_DHW) time series units: Kelvin _ChunkSizes: 1, 130, 130
	TSA_Frequency: Grid time: lat: lon: scale_factor: 1.0 add_offset: 0.0 coordinates: lon lat time long_name: Frequency of Thermal Stress Anomalies >= 1 deg C over previous 52 weeks units: weeks _ChunkSizes: 101, 90, 90
	TSA_Frequency_Stats: Array of 64 bit Reals [max_sd_mean_stats = 0..2][lat = 0..539][lon = 0..539] max_sd_mean_stats: lat: lon: scale_factor: 1.0 add_offset: 0.0 long_name: Maximum, Standard Deviation, and Mean of Thermal Stress Anomaly Frequency (TSA_Frequency) time series units: weeks _ChunkSizes: 1, 130, 130
	TSA_DHW: Grid time: lat: lon: add_offset: 273.15 coordinates: lon lat time long_name: Sum of SST Anomalies >= 1 deg C over previous 12 weeks (TSA Degree Heating Week) units: Kelvin scale_factor: 0.01 _ChunkSizes: 101, 90, 90
	TSA_DHW_Stats: Array of 64 bit Reals [max_sd_mean_stats = 0..2][lat = 0..539][lon = 0..539] max_sd_mean_stats: lat: lon: scale_factor: 1.0 add_offset: 273.15 long_name: Maximum, Standard Deviation, and Mean of Thermal Stress Anomaly Degree Heating Week (TSA_DHW) time series units: Kelvin _ChunkSizes: 1, 130, 130

For questions or comments about this dataset, contact the administrator of this server [User Services] at: ncei.info@noaa.gov

For questions or comments about the OPeNDAP service bundled with the TDS, email THREDDS support at: support-thredds@unidata.ucar.edu

DDS:

Dataset {
    Int32 time[time = 1522];
    Float64 time_bounds[time = 1522][nv = 2];
    Float64 lat[lat = 540];
    Float64 lat_bounds[lat = 540][nv = 2];
    Float64 lon[lon = 540];
    Float64 lon_bounds[lon = 540][nv = 2];
    Int32 crs[nodim = 1];
    Grid {
     ARRAY:
        Byte Land[lat = 540][lon = 540];
     MAPS:
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } Land;
    Grid {
     ARRAY:
        Byte AllBad[lat = 540][lon = 540];
     MAPS:
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } AllBad;
    Grid {
     ARRAY:
        Int16 NumberGood[lat = 540][lon = 540];
     MAPS:
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } NumberGood;
    Grid {
     ARRAY:
        Int16 WeeklySST[time = 1522][lat = 540][lon = 540];
     MAPS:
        Int32 time[time = 1522];
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } WeeklySST;
    Grid {
     ARRAY:
        Int16 MedfillSST[time = 1522][lat = 540][lon = 540];
     MAPS:
        Int32 time[time = 1522];
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } MedfillSST;
    Grid {
     ARRAY:
        Int16 FilledSST[time = 1522][lat = 540][lon = 540];
     MAPS:
        Int32 time[time = 1522];
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } FilledSST;
    Grid {
     ARRAY:
        Int16 SSTA[time = 1522][lat = 540][lon = 540];
     MAPS:
        Int32 time[time = 1522];
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } SSTA;
    Grid {
     ARRAY:
        Int16 TSA[time = 1522][lat = 540][lon = 540];
     MAPS:
        Int32 time[time = 1522];
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } TSA;
    Float64 ClimSST[yr_week = 53][lat = 540][lon = 540];
    Float64 Harmonics[harm_num = 5][lat = 540][lon = 540];
    Float64 SST_Stats[sst_stats_num = 4][lat = 540][lon = 540];
    Float64 SSTA_Stats[ssta_stats_num = 5][lat = 540][lon = 540];
    Float64 TSA_Stats[max_sd_mean_stats = 3][lat = 540][lon = 540];
    Grid {
     ARRAY:
        Int16 SSTA_Frequency[time = 1522][lat = 540][lon = 540];
     MAPS:
        Int32 time[time = 1522];
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } SSTA_Frequency;
    Int16 SSTA_Frequency_Stats[max_sd_mean_stats = 3][lat = 540][lon = 540];
    Grid {
     ARRAY:
        Int16 SSTA_DHW[time = 1522][lat = 540][lon = 540];
     MAPS:
        Int32 time[time = 1522];
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } SSTA_DHW;
    Float64 SSTA_DHW_Stats[max_sd_mean_stats = 3][lat = 540][lon = 540];
    Grid {
     ARRAY:
        Int16 TSA_Frequency[time = 1522][lat = 540][lon = 540];
     MAPS:
        Int32 time[time = 1522];
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } TSA_Frequency;
    Float64 TSA_Frequency_Stats[max_sd_mean_stats = 3][lat = 540][lon = 540];
    Grid {
     ARRAY:
        Int16 TSA_DHW[time = 1522][lat = 540][lon = 540];
     MAPS:
        Int32 time[time = 1522];
        Float64 lat[lat = 540];
        Float64 lon[lon = 540];
    } TSA_DHW;
    Float64 TSA_DHW_Stats[max_sd_mean_stats = 3][lat = 540][lon = 540];
} cortad/Version4/cortadv4_row00_col03.nc;

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