Beaufort and Chukchi Seas Mesoscale Meteorology Model

Updated 2012-07-25

1. Produce a geospatial surface meteorological database for the Beaufort and Chukchi Seas and the adjacent coastal areas by collecting available conventional and unconventional surface and atmospheric data and conducting field work; 2. Establish a well-tuned Beaufort/Chukchi seas mesoscale meteorology model through further modeling studies for the optimization and improvement of the model physics and configuration; 3. Conduct a long-term hindcast simulation with the optimized data-modeling system and produce a high resolution meteorological dataset for the Beaufort and Chukchi regions; and 4. Document the high-resolution climatological features of the Beaufort/Chukchi seas’ surface winds, including an analysis of the interannual variability and long-term

Time frame

Project time span
not specified
Data collection
not specified
Data processing
not specified
Data reporting
not specified

Contact information

Contact person
- -
At the U.S. Minerals Management Service (MMS), Warren Horowitz (; at the University of Alaska Fairbanks, International Arctic Research Center, Dr. Jing Zhang,
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Parameters and Media

Parameter groups measured/observed/modelled
Media sampled/studied/modelled


Regions studied
Chukchi Sea
Chukchi Sea
Chukchi Sea

Data availability

Samples/specimens archived in specimen banks?

Methods & Procedures

Procedures and methodology used for, e.g., sampling and sample storage, sample pretreatment, extraction and analysis, including which laboratories are involved, references to methods employed, etc.

Observed and modeled wind speed, direction, temperature, relative humidity

Additional Information

Is this a bi- AND multi-lateral project (i.e. a project involving cooperation between different countries)?
Other institutes involved in the project

Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE), University of Alaska Fairbanks (UAF)

Is this project reporting to other organizations/programmes?

Coordinating data collection with private industry. Networks:

Indigenous AND traditional knowledge used in this project


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