WCRP CHFP IRI ECHAM4p5-MOM3-DC2 ATM hus: specific humidity data

IRI ECHAM4p5-MOM3-DC2 ATM hus specific humidity from WCRP CHFP: Climate-system Historical Forecast Project.

Independent Variables (Grids)

ensemble (realization)
grid: /ensemble (unitless) ordered (0.0) to (11.0) by 1.0 N= 12 pts :grid
latitude (latitude)
grid: /latitude (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
level (air_pressure)
grid: /level (mb) ordered [ (850) (500) (200) (100) (50)] :grid
longitude
grid: /longitude (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
time
grid: /time (unitless) ordered (1.0) to (2688.0) by 1.0 N= 2688 pts :grid

Other Info

cNZ
9
Conventions
CF-1.0
datatype
realarraytype
missing_value
NaN
standard_name
specific_humidity
units
unitless
history
WCRP CHFP IRI ECHAM4p5-MOM3-DC2 ATM hus
longitude regridded by averaging 0 to 2.5W by 2.5
latitude regridded by averaging 90S to 90N by 2.5
Boxes with less than 0.0% dropped
Boxes with less than 0.0% dropped

References

Roeckner, E., and Coauthors, 1996: The atmospheric general circulation model ECHAM4: Model description and simulation of present-day climate. Max-Planck-Institut fur Meteorologie Rep. 218, Hamburg, Germany, 90 pp.

Danabasoglu, G., W. G. Large, J.J. Tribbia, P. R. Gent, and B. P. Briegleb, 2006: Diurnal coupling in the tropical oceans of CCSM3. J. Climate, 19, 2347-2365.

Derber, J., A. Rosati. A global oceanic data assimilation system.. J. Phys. Oceanogr. 19, 1989

DeWitt, D. G., 2005:Retrospective forecasts of interannual sea surface temperature anomalies from 1982 to present using a directly coupled atmosphere-ocean general circulation model. Mon. Wea. Rev., 133, 2972-2995.

Luo, J.-J., S. Masson, E. Roeckner, G. Madec, and T. Yamagata, 2005: Reducing climatology bias in an ocean-atmosphere CGCM with improved coupling physics. J. Climate, 18, 2344--2360.

Pacanowski, R. C., and S. M. Griffies, 1998: MOM 3.0 manual. NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, 608pp.

Last updated: Mon, 16 Feb 2015 21:51:22 GMT

Data Views

ensemblelatitudelevellongitudetime
[ longitude latitude | level ensemble time]MMMMM