	IWMO
NOAA NCDC GCPS MONTHLY STATION[lon lat country_code mean country_name elev Name ]
NOAA NCDC GCPS MONTHLY STATION Name[ IWMO \|]	M

This list of Active Objects appears in Expert Mode and are all the datasets that you currently have open. The last one (NOAA NCDC GCPS MONTHLY STATION Name) is the one you are currently working with.

means the grid is missing

M means the grids match

O means the grids are offset

S means the grids could match by sampling

D means the grids differ

Grid Comparisons

When you have multiple variables active, a table of grid comparisons appears to the right. These comparisons are between the last variable and all the others (so the last row always has matches or blanks).

NOAA NCDC GCPS MONTHLY STATION Name options

You have a number of options for working with this data set.

Data Viewers or
lets you interactively pick views of the data, starting with a color plot.
lets you interactively pick views of the data, starting with a contour plot.
lets you interactively pick views of the data, starting with a line plot.

You can also modify the dataset by

Data Selection which lets you pick out subsets of the data, and
Filters, which lets you perform calculations on the data.

You can also get the dataset output as

Dataset Documentation

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

STATION^* [map]

As you go from left to right, the datasets listed get more and more specific, ending with the current dependent variable, NOAA NCDC GCPS MONTHLY STATION Name. Datasets with documentation are marked (*): the * links to the documentation directly.

Grids

Grids are the independent variables, i.e. what the current dependent variable (Name) depends on.

WMO Station ID: grid: /IWMO (ids) ordered [ (100100) (100500) (100800) ... (9909001)] N= 10093 pts :grid

Other Info

These are additional attributes, some of which can be used to change how the data is processed or displayed.

bufferwordsize: 25
datatype: stringtype
units: unitless

References

These are references to the literature for this dataset.

Baker, C.B., J.K. Eischeid, T.R. Karl, and H.F. Diaz, 1994: The quality control of long-term climatological data using objective data analysis. Preprints of AMS Ninth Conference on Applied Climatology, Dallas, TX., January 15-20, 1995.