PTXY
IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM4 EAfrSST EAfr_climo.D Monthly[Surface PressureLevel ]
IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM4 EAfrSST EAfr_climo.D Monthly PressureLevel gz[ X Y | P T]MMMM
This list of Active Objects appears in Expert Mode and are all the datasets that you currently have open. The last one (IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM4 EAfrSST EAfr_climo.D Monthly PressureLevel gz) is the one you are currently working with.

means the grid is missing
Mmeans the grids match
Omeans the grids are offset
Smeans the grids could match by sampling
Dmeans 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).

IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM4 EAfrSST EAfr_climo.D Monthly PressureLevel gz options

You have a number of options for working with this data set. You can also modify the dataset by 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.
...ATMOSPHEREGLOBALECHAM4EAfrSSTEAfr_climo.DMonthlyPressureLevelgeopotential height

As you go from left to right, the datasets listed get more and more specific, ending with the current dependent variable, IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM4 EAfrSST EAfr_climo.D Monthly PressureLevel gz. Datasets with documentation are marked (*): the * links to the documentation directly.

Grids

Grids are the independent variables, i.e. what the current dependent variable (gz) depends on.
Pressure level
grid: /P (mb) ordered [ (1000) (925) (850) (775) (700) (600) (500) (450) (400) (350) (300) (250) (200) (150) (100) (50) (25)] :grid
Time
grid: /T (months since 1960-01-01) ordered (Jan 1980) to (Dec 2040) by 1.0 N= 732 pts :grid
Longitude
grid: /X (degree_east) periodic (0) to (2.8125W) by 2.8125 N= 128 pts :grid
Latitude
grid: /Y (degree_north) ordered [ (87.86N) (85.1N) (82.31N) (79.53N) (76.74N) (73.95N) (71.16N) (68.37N) (65.58N) (62.79N) (60N) (57.21N) (54.42N) (51.63N) (48.84N) (46.04N) (43.25N) (40.46N) (37.67N) (34.88N) (32.09N) (29.3N) (26.51N) (23.72N) (20.93N) (18.14N) (15.35N) (12.56N) (9.77N) (6.98N) (4.19N) (1.4N) (1.4S) (4.19S) (6.98S) (9.77S) (12.56S) (15.35S) (18.14S) (20.93S) (23.72S) (26.51S) (29.3S) (32.09S) (34.88S) (37.67S) (40.46S) (43.25S) (46.04S) (48.84S) (51.63S) (54.42S) (57.21S) (60S) (62.79S) (65.58S) (68.37S) (71.16S) (73.95S) (76.74S) (79.53S) (82.31S) (85.1S) (87.86S)] :grid

Other Info

These are additional attributes, some of which can be used to change how the data is processed or displayed.
cNZ
17
datatype
realarraytype
missing_value
null
units
gpm
standard units*
meter

References

These are references to the literature for this dataset.

Saha, S., S. Nadiga, C. Thiaw, J. Wang, W. Wang, Q. Zhang, H.M. Van Den Dool, H.-L. Pan, S. Moorthi, D. Behringer, D. Stokes, M. Pena, S. Lord, G. White,W. Ebisuzaki, P. Peng, and P. Xie, 2006:The NCEP Climate Forecast System. J. Climate 19 (15): 3483-3517.