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Note: SST and surface pigment concentration data are now available and other data will be added in the future.
At this website, one can view satellite fields over the regions of interest
to the U.S. GLOBEC North-East Pacific (NEP) program
(
At present, AVHRR SST and SeaWiFS surface pigment concentration data are available: 9-km resolution Pathfinder fields over the entire NEP and 1-3km resolution fields over the CCS and GOA (see below). Data is available through anonymous ftp at ftp://coho.coas.oregonstate.edu/ebc. For detail about data access and methods please see DATA_ACCESS_Oct11_07 and for data sources and formats see AAGBCREADME.TXT.
Other environmental data of interest to U.S. GLOBEC NEP researchers (coastal winds, temperatures, sea levels, upwelling indices, etc., are available on the website maintained by the Pacific Environmental Fisheries Laboratory (http://www.pfeg.noaa.gov/).
These composites are created from 9 km Pathfinder AVHRR data available
from the NOAA/NASA Physical Oceeanography Page (http://podaac.jpl.nasa.gov/).
The global images are subsetted to the NE Pacific Region and composite images
are created by taking the warmest pixel from any image during a 9 day period.
The images are 796 samples x 489 lines.
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Weekly and monthly images are available for years 1985 through 1999 composited from the 9 km Version 4.1 daily Pathfinder AVHRR images and years 2000 through June 2003 of the Version 4.1 "interim" data.
Click the following links to see an example of these weekly composites comparing the surface temperatures during a "normal" year (1996) and an El Nino year period in 1997-1998. (1996 vs. 1997 and 1996 vs. 1998)
These AVHRR images are obtained from a single pass of one of the NOAA AVHRR-equipped satellites. The present US GLOBEC project is funding the collection and processing of 1-km SST (absolute temperature derived from multichannel algorithms) and 3-km radiance temperature from channel 4 (11 micron).
| East Region August 7, 2001, 2200 hrs |
North Region August 3, 1998, 2200 hrs |
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| West Region June 27, 2001, 1200 hrs |
South Region April 18, 1998, 0200 hrs |
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The database contains images beginning as early as 1992 for some areas up through the present. The 1 km data is processed using a multi-channel algorithm and Quality Control assessments of accuracy, is available for four regions. The southern region covers 18.76N-39.23N, 106.70W-132.29W, the eastern Pacific from southern California to central Mexico. The northern region covers 35.76N-56.23N, 117.76W-138.23W, from British Columbia to northern California . The eastern region, 49.6N-62.4N, 124.8W-145.2W, covers the eastern Gulf of Alaska and British Columbia. And the western region, 49.6N-62.4N, 144.8W-165.2W, covers the western Gulf of Alaska off the Aleutian Peninsula.
As part of each filename are indicators of the relative quality, or cloudiness of subregions in each area as a rough guide for the user to better select images to view. See AAGBCREADME.TXT and MAPS.
| CH4: Central Region August 3, 1998, 2200 hrs | |
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Channel 4 Images: These 3 km images indicate radiance temperature from channel 4 of the AVHRR and covers three regions: east and west Gulf of Alaska (the areas of the previous 1km images) and the central northeastern Pacific from Vancouver Island south to Baha Mexico, 23.14N-53.83N and 108.14W-138.83W. |
| California Current October 9, 1992, 2300 hrs |
California Current October 4, 1994, 0400 hrs |
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The FTP site archives additional historical data of AVHRR channel 4 radiance temperature (right). For July, 1992 through October, 1997, images covering 35.007N - 40.98N and 129.035W - 121.450W are available. A slightly more northerly region: 40.975N - 46.952N and 129.394W - 121.09W is archived for January, 1994 - October, 1997. In both cases, the resolution is approximately 1.3 km.
For a complete description of these data please see the ftp area readme file AAGBCREADME.TXT.
Alternate access to processed and cloud flagged absolute SST over the California Current, University of Rhode Island:
The same California Current AVHRR passes that have been processed at Ocean Imaging have also been processed by Peter Cornillon's group at the University of Rhode Island (but through mid-2001 as of June 2004). These images are available as processed, cloud-masked SST; they can be viewed and accessed at http://dods.gso.uri.edu/dodsview/view.cgi. Click on the "Known Data Sets" drop down menu and then choose either the Northeast Pacific 1 km declouded data or the 6 km version. Specify the data range tp look at, then get the files that appear clear. The URI data are served via OPeNDAP (a.k.a. DODS) and can be imported into IDL or Matlab. More information and the software needed can be found at http://opendap.org/.
The SeaWiFS (Sea-viewing Wide Field Sensor) is a color imaging
instrument aboard an ORBIMAGE satellite
(now GeoEye)
used to measure chlorophyll in the ocean. Applied as an indicator
of biomass, chlorophyll can help trace the movement of water masses and
nutrients as they react under the influence of winds, currents and other
physical forces. Estimates of biomass are also important in the effective
management of commercially important marine species.
The images viewable on this web site are rendered from remapped daily composites of the original 4km GAC data provided courtesy of Dr. Andrew Thomas of the University of Maine, School of Marine Sciences. These images are also available from the Satellite Oceanography Data Lab (SODL), Image Library. The data are proprietary to GeoEye and made available to researchers with permission from NASA as an Authorized SeaWiFS Data User.
Data available at this site consists of daily and 8-day remapped composite GIF images and the original chlorophyll concentration data stored in Hierarchical Data Format (HDF). Concentration data for the 8-day composites are available only through explicit permission from Dr. Andrew Thomas. Coverages include the Gulf of Alaska and the California Current from 1997 through 2005.
Daily Composite Images
Eight Day Composite Images
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At present, contact Ted Strub (tstrub@coas.oregonstate.edu) about this data.