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Seasonal Sea Surface Temperature Averages, 1985-2001
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Frequently-anticipated questions:
- Title: Seasonal Sea Surface Temperature Averages, 1985-2001
- Abstract:
-
This data set consists of four images showing seasonal sea surface temperature
(SST) averages for the entire earth. Data for the years 1985-2001 are averaged to
produce each seasonal image. The seasons are January-March (sst001i4km.tif),
April-June (sst002i4km.tif), July-September (sst003i4km.tif), and October-December
(sst004i4km.tif).
These SST data are the result of the 4 km Pathfinder effort at the National Oceanic
and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC) and
the University of Miami's Rosenstiel School of Marine and Atmospheric Science
(RSMAS), which uses data from the NOAA-9, NOAA-11, NOAA-14, and NOAA-16 satellites.
The 4 km Pathfinder effort at NODC is an improvement to the original Pathfinder
program, which was jointly developed by the National Aeronautics and Space
Administration (NASA) and NOAA to provide long-term, consistently calibrated global
change data sets to Earth scientists. One of the data sets selected for the
Pathfinder project was collected by the Advanced Very High Resolution Radiometer
(AVHRR), a scanning radiometer flying onboard polar orbiters operated by NOAA. The
original AVHRR Pathfinder Program involved four separate elements: Atmosphere,
Land, Oceans, and Calibration. The objective of the AVHRR Oceans Pathfinder was to
develop a long and consistent time series of global sea surface temperature (SST)
fields. The Pathfinder Project at NODC carries on this objective.
The files for each season, also known as seasonal climatologies, are available both
as 16-bit (pixel values from 0 to 65535) Hierarchical Data Format (.HDF) data files
and as 8-bit (pixel values from 0 to 255) GeoTIFF images.
This data set is also referred to as 4 km NODC/RSMAS AVHRR Pathfinder v.5.0
Seasonal Climatologies (1985-2001).
- Supplemental_Information:
-
The data displayed in the Map Maker of the National Atlas of the United States
<http://nationalatlas.gov/natlas/Natlasstart.asp> have been clipped to the standard
National Atlas extent, masked using a National Atlas land/water mask, and projected
to a Lambert Azimuthal Equal Area projection. The distributed data represent the
global data set rather than the clipped and projected version available for viewing
through the National Atlas.
SST is a difficult parameter to define exactly because the upper ocean (~10 m) has
a complex and variable vertical temperature structure that is related to ocean
turbulence and the air-sea fluxes of heat, moisture and momentum. Definitions of
SST provide a necessary theoretical framework that can be used to understand the
information content and relationships between measurements of SST made by different
instruments. The following explanatory statements attempt to provide this
framework and encapsulate the effects of the dominant heat transport processes and
time scale of variability associated with distinct vertical and volume regimes
within a vertical element of the water column (horizontal and temporal variability
is implicitly assumed):
The interface SST, SSTint, is the temperature of an infinitely thin layer at the
exact air-sea interface. It represents the temperature at the top of the SSTskin
temperature gradient (layer) and cannot be measured using current technology.
It is important to note that it is the SSTint that interacts with the atmosphere.
The skin SST, SSTskin, is a temperature measured within a thin water layer (<500
micrometer) adjacent to the air-sea interface. It is where conductive, diffusive
and molecular heat transfer processes dominate. A strong vertical temperature
gradient is characteristically maintained in this thin layer sustained by the
magnitude and direction of the ocean-atmosphere heat flux. Thus, SSTskin varies
according to the actual measurement depth within the layer. This layer provides
the connectivity between a turbulent ocean and a turbulent atmosphere.
The sub-skin SST, SSTsub-skin, is representative of the SST at the bottom of the
surface layer where the dominance of molecular and conductive processes gives way
to turbulent heat transfer. It varies on a time scale of minutes and is
influenced by solar warming in a manner strongly dependent on the turbulent
energy density in the layer below.
The near surface ocean temperature (~10 m) is significantly influenced by local
solar heating and typically varies with depth over a time scale of hours.
Consequently "SST" measurements should always be referenced against a specific
depth or an average over a depth range. The notation SSTdepth refers to any
temperature within the water column beneath the SSTsub-skin where turbulent heat
transfer processes dominate. The traditional "bulk" SST is related to this
measure. SSTdepth should always be quoted at a specific depth in the water
column; e.g., SST1m refers to the SST at a depth of 1m.
The SSTskin is the closest parameter actually measured by the AVHRR satellite
radiometer. However, because the Pathfinder algorithm regresses the satellite-
observed radiances against buoy temperatures to determine a "bulk" SST, the
actual SST is akin to the SSTdepth where depth is about 1 m.
The current 4 km data set is an extension of and improvement on the SST fields from
the AVHRR Oceans 9 km Pathfinder data set
(<http://www.rsmas.miami.edu/groups/rrsl/pathfinder/index.html>). Some important
shortcomings in the original 9 km data have been corrected, and the entire time
series has been reprocessed at the 4 km Global Area Coverage (GAC) level, currently
the highest resolution possible globally. In addition, several enhancements have
been made that increase the usefulness of the SST fields, including the use of sea
ice in the quality level determination scheme, inclusion of many inland water
bodies, and the use of a greatly improved land mask. The greatest improvements are
seen in coastal zones, marginal seas, and boundary current regions where SST
gradients are often large and their impact on operational or research products is
greatest.
The data set was produced from 1985-2001 data using the Version 5.0 Pathfinder
algorithm. Version 5.0 is an improved version of the previously-most-successful of
the many methods used to derive SST from AVHRR observations. For more detail on
this version of the Pathfinder data, a description of the processing algorithm, and
a comparison of version 5 and version 4, please see the 4 km Pathfinder Version 5.0
User Guide at <http://www.nodc.noaa.gov/sog/pathfinder4km/userguide.html>.
Relative to the older 9 km v4.2 Pathfinder data, the new, ~4 km-resolution
Pathfinder Version 5.0 global SSTs increase detail roughly by a factor of four
simply by virtue of the increased resolution. The increase in detail over widely
used but relatively coarse SST datasets such as Optimally Interpolated SST
Version 2 (Reynolds et al., 2002, <http://ams.allenpress.com/amsonline/>
?request=get-abstract&issn=1520-0442&volume=015&issue=13&page=1609>) and the Hadley
Centre's Global Sea Ice and SST (Rayner et al., 2003,
<http://www.agu.org/pubs/crossref/2003/2002JD002670.shtml>) is far greater.
The University of Miami Pathfinder version v4.2 SST algorithm is fully described in
Kilpatrick et al., (2001).
<http://www.agu.org/pubs/crossref/2001/1999JC000065.shtml>. The v4.2 algorithm
offered marked improvement over operational retrieval algorithms such as multi-
channel sea surface temperature (MCSST) and was applied to AVHRR data to maximize
accuracy and to minimize artificial fluctuations arising from the sequence of AVHRR
instruments flown on NOAA's polar-orbiting satellites during the past 2 decades.
The 9 km v4.2 Pathfinder SSTs were shown to be the highest quality product then
available for the construction of global climatologies (Casey and Cornillon, 1999,
<http://ams.allenpress.com/amsonline/?request=get-abstract&issn=1520-0442&volume>=
12&issue=6&page=1848>) and longer-term SST trend determination (Casey and
Cornillon, 2001, <http://ams.allenpress.com/amsonline/?request=get-abstract&issn>=
1520-0442&volume=14&issue=18&page=3801>), and have been demonstrated to be accurate
within about 0.3 degrees C under optimal conditions (Kearns et al., 2000,
<http://ams.allenpress.com/pdfserv/i1520-0477-081-07-1525.pdf>).
For a detailed description of the Version 4.0 Pathfinder SST algorithm, please see
<http://www.rsmas.miami.edu/groups/rrsl/pathfinder/Algorithm/algo_index.html>.
For a review of earlier techniques, see Barton (1995).
<http://www.agu.org/pubs/crossref/1995/95JC00365.shtml>
For more information on AVHRR, see <http://eros.usgs.gov/guides/avhrr.html> and
<http://nationalatlas.gov/articles/mapping/a_avhrr.html>.
The NOAA Polar Orbiter Data User's Guide describes the orbital and spacecraft
characteristics, instruments, data formats, etc. of the TIROS-N, and NOAA-6 through
NOAA-14 polar orbiter series of satellites. See
<http://www2.ncdc.noaa.gov/docs/podug/> for more information.
A text file containing a complete source bibliography for this data set and
suggested additional reading is bundled with the downloadable data. The file is
called sstalli_biblio.txt.
The following parameters are used for the GeoTIFF:
Version: 1
Key_Revision: 1.0
Tagged_Information:
ModelTiepointTag (2,3):
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-180 90 0
ModelPixelScaleTag (1,3):
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End_Of_Tags.
Keyed_Information:
GTModelTypeGeoKey (Short,1): ModelTypeGeographic
GTRasterTypeGeoKey (Short,1): RasterPixelIsArea
GTCitationGeoKey (Ascii,17): "LONG/LAT E005"
GeographicTypeGeoKey (Short,1): GCS_WGS_84
GeogAngularUnitsGeoKey (Short,1): Angular_Degree
ProjLinearUnitsGeoKey (Short,1): Linear_Meter
End_Of_Keys.
End_Of_Geotiff.
GCS: 4326/WGS 84
Datum: 6326/World Geodetic System 1984
Ellipsoid: 7030/WGS 84 (6378137.00,6356752.31)
Prime Meridian: 8901/Greenwich (0.000000/ 0d 0' 0.00"E)
Projection Linear Units: 9001/metre (1.000000m)
Corner Coordinates:
Upper Left (180d 0' 0.00"W, 90d 0' 0.00"N)
Lower Left (180d 0' 0.00"W, 90d 0' 0.00"S)
Upper Right (180d 0' 0.00"E, 90d 0' 0.00"N)
Lower Right (180d 0' 0.00"E, 90d 0' 0.00"S)
Center ( 0d 0' 0.00"E, 0d 0' 0.00"N)
The associated world file is included as part of the GeoTIFF. The
contents of the world file are:
0.0439
0.000000
0.000000
-0.0439
-180.0000
90.0000
- How should this data set be cited?
Kenneth S. Casey, National Oceanic and Atmospheric Adminis, Edward J. Kearns, University of Miami, Rosenstiel School of , Vicki Halliwell, University of Miami, RSMAS, and Robert Evans, University of Miami, RSMAS, 200412, Seasonal Sea Surface Temperature Averages, 1985-2001: NOAA National Oceanographic Data Center, Silver Spring, MD.
Online Links:
- What geographic area does the data set cover?
- West_Bounding_Coordinate: -180
- East_Bounding_Coordinate: 180
- North_Bounding_Coordinate: 90
- South_Bounding_Coordinate: -90
- What does it look like?
- <ftp://ftp.nodc.noaa.gov/pub/pathfinder/seasonal_climatology/season1_combined.tif> (GeoTIFF)
-
An image of the global data set of 1985-2001 averaged SST (January to March).
- <ftp://ftp.nodc.noaa.gov/pub/pathfinder/seasonal_climatology/season2_combined.tif> (GeoTIFF)
-
Image of global data set of 1985-2001 averaged SST (April to June)
- <ftp://ftp.nodc.noaa.gov/pub/pathfinder/seasonal_climatology/season3_combined.tif> (GeoTIFF)
-
Image of global data set of 1985-2001 averaged SST (July to September)
- <ftp://ftp.nodc.noaa.gov/pub/pathfinder/seasonal_climatology/season4_combined.tif> (GeoTIFF)
-
Image of global data set of 1985-2001 averaged SST (October to December)
- Does the data set describe conditions during a particular time period?
- Beginning_Date: 01-Jan-1985
- Ending_Date: 31-Dec-2001
- Currentness_Reference: Dates of source data
- What is the general form of this data set?
- Geospatial_Data_Presentation_Form: Map
- How does the data set represent geographic features?
- How are geographic features stored in the data set?
This is a Raster data set.
It contains the following raster data types:
- Dimensions 4096 x 8192, type Grid cell
- What coordinate system is used to represent geographic features?
Horizontal positions are specified in geographic coordinates, that is, latitude and longitude.
Latitudes are given to the nearest 0.0439453125.
Longitudes are given to the nearest 0.0439453125.
Latitude and longitude values are specified in Decimal degrees.
The horizontal datum used is WGS84.
The ellipsoid used is WGS84.
The semi-major axis of the ellipsoid used is 6378137.
The flattening of the ellipsoid used is 1/298.257223563.
- How does the data set describe geographic features?
- Sea Surface Temperature (SST) grid cell
- Any of the data elements in the SST file.
(Source: NOAA National Oceanographic Data Center/Satellite Oceanography Group)
- SST grid cell value
- The grid cell values represent 1985-2001 average seasonal (Jan-Mar, Apr-Jun, Jul-
Sep, and Oct-Dec) sea surface temperatures. The higher the value the higher the
SST. Sea surface temperature in degrees C can be calculated from the pixel value
as follows:
in the HDF files, SST in deg C = 0.075 x pixel value - 3. Temperatures are
represented in 0.075 degree C increments, and land has a value of 1. While
pixel values can range from 0 to 65535, realistic pixel values for SST will
always be less than 600.
in the GeoTIFF files, SST in deg C = 0.15 x pixel value - 3. Temperatures are
represented in 0.15 degree C increments, and land has a value of 255. Pixel
values can range from 0 to 255.
(Source: Dr. Kenneth Casey, NODC/Satellite Oceanography Group)
Range of values |
Minimum: | 0 |
Maximum: | 500 |
- Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
- Kenneth S. Casey, National Oceanic and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC)
- Edward J. Kearns, University of Miami, Rosenstiel School of Marine and Atmospheric Science (RSMAS)
- Vicki Halliwell, University of Miami, RSMAS
- Robert Evans, University of Miami, RSMAS
- Who also contributed to the data set?
- To whom should users address questions about the data?
Dr. Kenneth S. Casey
NOAA/NESDIS National Oceanographic Data Center
NOAA/NESDIS National Oceanographic Data Center
Silver Spring, MD 20910
USA
301-713-3272 x133 (voice)
301-713-3300 (FAX)
[email protected]
- Hours_of_Service: 9:00 AM - 4:00 PM, Eastern time
These data are intended for geographic display and analysis at global, national,
and local levels. The data should be used at scales appropriate to 4 km resolution
data. No responsibility is assumed by the National Oceanic and Atmospheric
Administration or the National Atlas of the United States in the use of these data.
- From what previous works were the data drawn?
- AVHRR (source 1 of 4)
-
National Oceanic and Atmospheric Administration (NOAA), Unknown, 5-Channel Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) data: NOAA, Washington, DC.
Online Links:
- Type_of_Source_Media: Online
- Source_Contribution: Spatial and attribute information
- HRPT (source 2 of 4)
-
Rosenstiel School of Marine and Atmospheric Science, 200001, Sea Surface Temperature Global Area Coverage (GAC) Processing, Appendix A: Calibration and Navigation correction factors, Tables A.1: Rosenstiel School of Marine and Atmospheric Science, Miami, FL.
Online Links:
- Type_of_Source_Media: Online
- Source_Contribution: Calibration information
- PFMDB (source 3 of 4)
-
Rosenstiel School of Marine and Atmospheric Science, 200106, Matchup Database 1985-1997 (Version 19.0): Rosenstiel School of Marine and Atmospheric Science, Miami, FL.
Online Links:
- Type_of_Source_Media: Online
- Source_Contribution: Calibration information
- Land Mask (source 4 of 4)
-
Land Processes Distributed Data, U.S. Geological Survey, 2002, MODIS/Terra Land Cover Type 96-Day L3 Global 1km ISIN Grid: U.S. Geological Survey, Sioux Falls, SD.
Online Links:
- Type_of_Source_Media: Online
- Source_Contribution: Calibration information
- How were the data generated, processed, and modified?
- Date: 01-Jul-2004 (process 1 of 1)
-
Sections A-D, below, describe the basic steps in the Pathfinder processing
system; section E describes the steps required to produce the climatologies.
Pathfinder SST Processing Steps
A. AVHRR Global Area Coverage (GAC) data are processed to calibrate and convert
digital counts to radiances for channels 1 through 5. Pre-launch calibration
data is required for processing the data from all five channels. For channels 1
and 2, a linear counts-to-radiance conversion is done, then sensor decay-rate
data is used to correct for temporal changes, and finally inter-satellite
standardization data is used to correct for inter-satellite differences, using
NOAA-9 as the reference. The last two steps both use data from a radiometrically
stable target location in the Libyan desert (21°-23°N latitude; 28°-29°E
longitude). For channels 3, 4, and 5, a non-linear counts-to-radiance conversion
is done using the pre-launch calibration data as well as onboard blackbody (space
view and sensor base plate) data.
Clock corrections are made to the data, using Earth time offset data based on
Rosenstiel School of Marine and Atmospheric Science High-Resolution Picture
Transmission (HRPT) data. Attitude corrections are made using coastline
comparison data.
The result of these steps is navigated, calibrated albedos/brightness
temperatures for all five channels. Channels 1 and 2 will not be used in the
Pathfinder SST algorithm, and channel 3 is used only in assignment of a quality
indicator.
B. Channel 4 and 5 brightness temperatures are converted to SST in degrees C
using the Pathfinder algorithm, which requires a set of monthly coefficients
derived using the Pathfinder Buoy Matchup Database (PFMDB). This is a set of in
situ buoy SST observations and collocated AVHRR data. In addition, a first-guess
SST field is needed by the algorithm. This first-guess field is the Reynolds
Weekly Global Optimally Interpolated SST version 2 (OISSTv2) product.
A quality flag for each pixel is determined by combining the results of several
tests: a channel 3, 4 and 5 brightness temperature test using data available
from the calibration and conversion step, an evaluation of the viewing angle
using a satellite zenith angle check, a reference field comparison check against
the first-guess SST value, a stray sunlight test using information on whether
the data in question are to left or right of nadir, an edge test which checks the
location of the pixel within a scan line and the location of the scan line within
the processing piece (a "piece" is a subset of an entire orbit file), a glint
test using a glint index calculated according to the Cox and Munk formulation
(Cox, C., and W. Munk: Measurements of the roughness of the sea surface from
photographs of the sun's glitter. Journal of the Optical Society of America, Vol.
44, Issue 11, pp. 838-850, November 1954.), and application of a sea ice mask to
identify pixels falling on areas of sea ice. The ice mask is based on weekly
Special Sensor Microwave/Imager (SSM/I) data and the ice information contained in
the Reynolds OISSTv2. (A full description of the development of the sea ice mask
is given in the Pathfinder Version 5.0 User Guide at
<http://www.nodc.noaa.gov/sog/pathfinder4km/userguide.html>.)
C. Spatial binning is performed, by defining an equal-area grid into which GAC
pixels are binned. No external data are needed, only information on the equal-
area binning strategy itself. See <http://www.rsmas.miami.edu/groups/rrsl/>
pathfinder/Processing/proc_index.html#spatial_bin> for a description of spatial
binning procedures.
A data-day is defined following a spatial data-day definition. See
<http://www.nodc.noaa.gov/sog/pathfinder4km/Data-day.pdf>for a description
of the spatial data-day definition, written by Guillermo Podesta, University of
Miami RSMAS.
A land mask is applied to the dataset, identifying pixels that fall on land. In
the 4 km Version 5.0 Pathfinder data set, a land mask based on a 1 km resolution
MODIS dataset derived by the USGS Land Processes Distributed Active Archive
Center is used.
D. Temporal Binning is performed to produce daily averages. The spatially binned
pieces from step C are accumulated into a single ascending (daytime) or
descending (nighttime) file for each day. In case of overlapping satellite
passes, only the best pixels of equivalent quality are binned. See
<http://www.rsmas.miami.edu/groups/rrsl/pathfinder/Processing/proc_index.html>
#temporal_binning> for a description of temporal binning procedures. The 4 km
Version 5.0 Pathfinder program also generates temporal averages for 5-day, 7-day,
8-day, monthly, and yearly periods.
A final comparison is made to an internal 3-week Pathfinder comparison field.
Fields are reformatted from equal-area to equal-angle for distribution in HDF
format. While the old 9 km Pathfinder data were distributed in HDF4 Raster
format, the new 4 km Version 5.0 Pathfinder data are distributed in HDF4-SDS
format, with tiling (internally compressed chunks) enabled.
E. The SST seasonal climatologies are produced. The individual monthly files
generated by the Version 5.0 Pathfinder Project for 1985-2001 are averaged to
create a set of initial monthly climatologies. For example, January of 1986,
January of 1987,...., January of 2001 are averaged to create a climatological
January. Only the highest quality data (overall quality flag=7) are used.
Following the steps described in Casey and Cornillon, 1999
(<http://ams.allenpress.com/amsonline/?request=get-abstract&issn=1520-0442>&
volume=12&issue=6&page=1848>), most of any remaining gaps in the initial monthly
climatology are filled by applying a 7x7 median fill; no already present data
are modified. Any remaining gaps are linearly filled using the previous and
following monthly climatological values, if they are available; no already
present data are modified. Another 7x7 median fill is applied in case any gaps
remain; no already present data are modified. (Casey and Cornillon (1999)
describe application of a final 7x7 median-filter to smooth the entire field, but
this step is not performed for the seasonal climatologies.)
The resulting monthly climatologies are averaged seasonally to produce a seasonal
climatology for each season. For example, the January, February, and March
climatologies are averaged to create the Season 1 climatology.
Person who carried out this activity:
Dr. Kenneth S. Casey
NOAA/NESDIS National Oceanographic Data Center
NOAA/NESDIS National Oceanographic Data Center
Silver Spring, MD 20910
USA
301-713-3272 x133 (voice)
301-713-3300 (FAX)
[email protected]
- Hours_of_Service: 9:00 AM - 4:00 PM, Eastern time
Data sources used in this process:
- AVHRR
- HRPT
- PFMDB
- Land Mask
- What similar or related data should the user be aware of?
NASA/Jet Propulsion Laboratory Physical Oceanography Distributed Active Archive Center (DAAC), Unknown, AVHRR Pathfinder products: NASA/Jet Propulsion Laboratory, Pasadena, CA.
Online Links:
NASA/Jet Propulsion Laboratory Physical Oceanography Distributed Active Archive Center (DAAC), Unknown, SST Climatology products: NASA/Jet Propulsion Laboratory, Pasadena, CA.
Online Links:
NASA/Jet Propulsion Laboratory Physical Oceanography Distributed Active Archive Center (DAAC), Unknown, Multi-Channel Sea Surface Temperature products: NASA/Jet Propulsion Laboratory, Pasadena, CA.
Online Links:
NASA Goddard Space Flight Center, Unknown, MODIS Ocean products: NASA Goddard Space Flight Center, Greenbelt, MD.
Online Links:
- How well have the observations been checked?
No rigorous tests of attribute accuracy have been performed on this data set. For
information on accuracy assessment of satellite SST measurements, see the 4 km
Pathfinder Version 5.0 User Guide at
<http://www.nodc.noaa.gov/sog/pathfinder4km/userguide.html>.
- How accurate are the geographic locations?
Corrections have been applied to the raw AVHRR data to adjust for drift in the
spacecraft clock and uncertainty errors in spacecraft and sensor attitude. For
detailed information on correction procedures, please see Sea Surface Temperature
Global Area Coverage (GAC) Processing Appendix A: Calibration and Navigation
Correction Factors for a list of clock offsets for each NOAA spacecraft, at
<http://www.rsmas.miami.edu/groups/rrsl/pathfinder/Processing/proc_app_a.html>.
- How accurate are the heights or depths?
- Where are the gaps in the data? What is missing?
The SST climatologies are global in coverage. Most gaps in the data are in the
extreme high latitudes and are due to the presence of persistent sea ice.
The .HDF files represent the data as 16-bit, with pixel values that can range from 0
to 65535. Temperatures are represented in 0.075 degC increments. In contrast, the
GeoTIFF files represent the data as 8-bit, with pixel values that can range from 0 to
255. Temperatures are represented in 0.15 degC increments. While the GeoTIFF files
were developed to facilitate access and use of these data by the widest variety
of users, the lower level of precision possible means that they are not a
complete representation of the data in the .HDF files.
- How consistent are the relationships among the observations, including topology?
The source data came from four NOAA satellites over the course of more than 15 years.
Corrections have been made for inter-satellite differences as well as for variations
in the data from individual satellites. For more information on the adjustments
performed, see the 4 km Pathfinder Version 5.0 Users Guide at
<http://www.nodc.noaa.gov/sog/pathfinder4km/userguide.html>, and the Process Step,
below.
To verify data integrity, files are run against the NOAA program MD5 which indicates
any problems in data transfer. For more information see the original MD5
documentation at <http://www.isi.edu/in-notes/rfc1321.txt>.
Are there legal restrictions on access or use of the data?
- Access_Constraints: None
- Use_Constraints:
-
Please acknowledge the use of these data with "The Pathfinder Version 5.0 SST Data
were produced by the NOAA/National Oceanographic Data Center and are available from
<http://www.nodc.noaa.gov/sog/> or
<http://nationalatlas.gov/atlasftp.html?openChapters=chpclim#chpclim.>"
- Who distributes the data set? (Distributor 1 of 2)
Earth Science Information Center, U.S. Geological Survey
507 National Center
Reston, VA 20192
1-888-ASK-USGS (1-888-275-8747) (voice)
- Contact_Instructions:
-
In addition to the address above there are other ESIC offices
throughout the country. A full list of these offices is at
<http://ask.usgs.gov/esic_index.html>.
- What's the catalog number I need to order this data set?
- What legal disclaimers am I supposed to read?
Although these data have been processed successfully on a computer system
at the U.S. Geological Survey, no warranty expressed or implied is made by
the U.S. Geological Survey regarding the utility of the data on any other
system, nor shall the act of distribution constitute any such warranty.
No responsibility is assumed by the U.S. Geological Survey in the use of
these data.
- How can I download or order the data?
- Availability in digital form:
- Cost to order the data: There is no charge for the data set.
- Who distributes the data set? (Distributor 2 of 2)
NOAA National Oceanographic Data Center
SSMC3, 4th Floor, E/OC1
Silver Spring, MD 20910
USA
301-713-3277 (voice)
301-713-3301 (FAX)
[email protected]
- Hours_of_Service: 8:00 - 6:00 PM, Eastern time
- Contact_Instructions: Phone/FAX/E-mail/letter during business hours
- What's the catalog number I need to order this data set?
NODC Accession #0001658
- What legal disclaimers am I supposed to read?
NOAA makes no warranty regarding these data, expressed or implied, nor does the
fact of distribution constitute such a warranty. NOAA and NODC cannot assume
liability for any damages caused by any errors or omissions in these data, nor as a
result of the failure of these data to function on a particular system.
- How can I download or order the data?
- Availability in digital form:
Data format: |
Four 8-bit GeoTIFF representations of seasonal climatologies 1985-2001 (seasons
as defined by periods Jan-Mar, Apr-Jun, Jul-Sept, Oct-Dec). Four 16-bit .HDFD
files of the same climatologies are bundled with the GeoTIFF files. Although
the data are represented using 16-bit in the .HDF files, 8-bit GeoTIFF files
were developed to facilitate access and use of these data by the widest variety
of users; as such the GeoTIFF representations of the .HDF files are not a
complete representation of the data in the .HDF files.
in format TIFF
(version 1)
GeoTIFF
Size: 36000000
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Network links: |
<http://www.nodc.noaa.gov/search/prod/>
<ftp://ftp.nodc.noaa.gov/pub/pathfinder/seasonal_climatology>
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- Cost to order the data: None
- Special instructions:
Data may be directly downloaded through the NODC website at:
<http://www.nodc.noaa.gov/search/prod/>. NODC can be contacted directly for custom
orders. (When requesting data from the NODC, the desired data set may be referred
to as NODC Accession #0001658). In addition, these data and accompanying browse
graphics may be directly downloaded from the NODC FTP server at:
<ftp://ftp.nodc.noaa.gov/pub/pathfinder/seasonal_climatology>.
- How long will it take to get the data?
Within 24 hours if downloaded via the Internet
- Is there some other way to get the data?
Contact the NODC User Services Group via phone/FAX/E-mail: [email protected]
- What hardware or software do I need in order to use the data set?
PC, Mac, or other server, standard Internet browser, ability to work with .HDF and/or
GeoTIFF files strongly recommended.
- Dates:
- Last modified: 07-Jun-2006
- Metadata author:
-
Sheri Phillips or Amanda Lowe
NOAA/NODC
1315 East-West Highway, E/OC1, SSMC3, 4th Floor
Silver Spring, MD 20910
USA
301-713-3280 x127 (voice)
301-713-3302 (FAX)
[email protected]
- Hours_of_Service: 9:30 AM - 6 PM Monday-Thursday
- Contact_Instructions: E-mail, phone, FAX, mail
- Metadata standard:
- FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)
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