Arctic Optical.

Assemble oceanographic data. All work on this task is virtually complete. Data from 100,000 hydrographic ship stations have been modeled to produce detailed structure of salinity and temperature. These data have been used to define the three dimensional boundaries of six major water types and these...

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Bibliographic Details
Main Author: Tanis, Fred J.
Other Authors: ENVIRONMENTAL RESEARCH INST OF MICHIGAN ANN ARBOR
Format: Text
Language:English
Published: 1992
Subjects:
Physical and Dynamic Oceanography
Snow
Ice and Permafrost
*CLOUDS
*SEA ICE
OPTICAL PROPERTIES
SALINITY
Arctic
Ice
ice core
permafrost
Sea ice
Online Access:http://www.dtic.mil/docs/citations/ADA258654
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA258654
Description
Summary:Assemble oceanographic data. All work on this task is virtually complete. Data from 100,000 hydrographic ship stations have been modeled to produce detailed structure of salinity and temperature. These data have been used to define the three dimensional boundaries of six major water types and these have in turn been used to define optical properties. Assemble snow/ice data. All work on this task is complete for the study region. Blended models for sea ice thickness have been developed for the region using ice core data and thickness maps produced from submarine sonar data. The SMMR passive microwave radiometer data (Nimbus 7) have been recently recalibrated by NASA GSFC. Monthly means have been acquired for 1979 through 1984 and processed for sea ice concentration, ice type, and wind velocity. Assemble cloud data. The ISCCP (International Satellite Cloud Climatology Project) C2 data have been processes for 1984 through 1987 to compile monthly statistics on a 250 km x 250 km grid. These data have also been resampled on a monthly basis for 25 cloud parameters on a 25 km x 25 km grid over the entire study region.

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