Development of a Global Hydrographic Climatology with High Quality Arctic Data

Our long-term goal is to better represent the Arctic Ocean in numerical models. In order to validate these models, we need high quality gridded fields of observed quantities such as ocean temperature and salinity. Both the historical mean and the historical variance are required. We then need to dis...

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Bibliographic Details
Main Author: Steele, Michael
Other Authors: WASHINGTON UNIV SEATTLE APPLIED PHYSICS LAB
Format: Text
Language:English
Published: 2001
Subjects:
Meteorology
Physical and Dynamic Oceanography
Hydrology
Limnology and Potamology
*ARCTIC OCEAN
*CLIMATOLOGY
*HYDROGRAPHY
COMPUTER FILES
FORECASTING
NUMERICAL METHODS AND PROCEDURES
SALINITY
TEMPERATURE
VALIDATION
GLOBAL HYDROGRAPHIC CLIMATOLOGY
NUMERICAL MODELS
OCEAN TEMPERATURE
ICE PREDICTION SYSTEM 3.0
PHC(POLAR SCIENCE CENTER HYDROGRAPHIC CLIMATOLOGY)
ARCTIC DATA SETS
AOA(ARCTIC OCEAN ATLAS)
WOA98(WORLD OCEAN ATLAS 1998 VERSION)
Arctic
Arctic Ocean
Polar Science Center
Online Access:http://www.dtic.mil/docs/citations/ADA626104
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA626104
Description
Summary:Our long-term goal is to better represent the Arctic Ocean in numerical models. In order to validate these models, we need high quality gridded fields of observed quantities such as ocean temperature and salinity. Both the historical mean and the historical variance are required. We then need to discover where and when the models diverge from the observations. Armed with this knowledge, we can proceed to make improvements that will assist the Navy with their forecasting mission.

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