A numerical modelling and observational effort to develop the capability to predict the currents in the Gulf of Mexico for use in pollutant trajectory computation

Molinari, Robert L.; Behringer, David W.; Festa, John F.

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A numerical modelling and observational effort to develop the capability to predict the currents in the Gulf of Mexico for use in pollutant trajectory computation

1976
By Molinari, Robert L. ; Behringer, David W. ; Festa, John F.

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Details:

Personal Author:

Molinari, Robert L. ; Behringer, David W. ; Festa, John F.

Molinari, Robert L. ; Behringer, David W. ; Festa, John F. Less -
Corporate Authors:

Atlantic Oceanographic and Meteorological Laboratory. ; United States. Bureau of Land Management.

Atlantic Oceanographic and Meteorological Laboratory. ; United States. Bureau of Land Management. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory)

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) Less -
Description:

The Atlantic Oceanographic and Meteorological Laboratories of the National Oceanic and Atmospheric Administration have completed the first year of a proposed twoyear study for the Bureau of Land Management "to develop the capability to predict the currents in the Gulf of Mexico for use in pollutant trajectory computation". The objectives of the study were: (1) to modify an existing numerical model for application in the Gulf of Mexico; (2) to evaluate the ability of the model to simu- late the Gulf circulation using various types and distributions of data as input information; and (3) to describe the Gulf of Mexico circulation using the results of the model.
Keywords:

[+]

Optical oceanography
Format:

PDF
Document Type:

Non-series Report
Place as Subject:

Mexico, Gulf of
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:e8c3be1e0d2e9557dc5bcd2dfab9e4d506827cded169f7c7fc956d72c6533168
Download URL:

https://repository.library.noaa.gov/view/noaa/56604/noaa_56604_DS1.pdf
File Type:

Machine Readable Version (JSON)

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