This page describes and gives options for manipulating the NOAA NCEP EMC CMB GODAS dataset. We start with the options for manipulating, because once you are comfortable with the system, they are the most useful.


Dataset Options


NOAA NCEP EMC CMB GODAS options Help Expert Mode
Help/Terse
switches back and forth between this relatively descriptive page that contains extended explanations, and the page that just has the information.
Expert Mode
switches into a mode that lets you access several datasets at the same time, and enter data-manipulating commands directly as text rather than clicking on a series of pages.

When in Expert Mode there is a list of active datasets at the top of the page, followed by a text window containing the command equivalent of the current page. These commands can be edited or extended.

Note that there will be many more options once you have picked a particular variable, because the server is currently more adept at manipulating single variables than it is at manipulating datasets (e.g. collections of variables).

Dataset Description

We start with a quick reminder of where you are in the collection of datasets.

SOURCESNOAANCEPEMCCMBGODAS

As you go from left to right, the datasets listed get more and more specific, ending with the current dataset, NOAA NCEP EMC CMB GODAS. Datasets with documentation are marked (*): the * links to the documentation directly.

NOAA NCEP EMC CMB GODAS

NOAA NCEP EMC CMB GODAS: Global Ocean Data Assimilation System.

Documents

give additional information about the current dataset.
overview
shows an overview of the different parts of this dataset (the parts shown are sub-datasets, see below).

Other Info

iridl:hasSemantics
iridl:Ocean

References

Behringer, D. W., and Y. Xue, 2004: Evaluation of the global ocean data assimilation system at NCEP: The Pacific Ocean. Eighth Symposium on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, AMS 84th Annual Meeting, Washington State Convention and Trade Center, Seattle, Washington, 11-15.