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IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface dataset
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This page describes and gives options for manipulating the IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface dataset. We start with the options for manipulating, because once you are comfortable with the system, they are the most useful.

Dataset Options


IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface 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.

...RESEARCHATMOSPHEREGLOBALECHAM5biasSSTbiasSST_proj_4059.DMonthlySurface

As you go from left to right, the datasets listed get more and more specific, ending with the current dataset, IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface. Datasets with documentation are marked (*): the * links to the documentation directly.

IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface

IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface.

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).

Datasets and variables

Variables (also called data or dependent variables) are sets of numbers, along with the grids (independent variables) that place those numbers in space and time, and the additional information (such as units) that render the data meaningful. Datasets are collections of variables and datasets. This will become clearer once you look at the outline.

albedo IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface alb[ X Y | M T]
cloud cover IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface cld[ X Y | M T]
vertically integrated cloud water IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface cwat[ X Y | M T]
drainage IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface drain[ X Y | M T]
evapration IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface evap[ X Y | M T]
glacier depth IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface glac[ X Y | M T]
sea ice depth IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface icedep[ X Y | M T]
laten heat flux IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface lh[ X Y | M T]
net longwave at ground IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface nlwg[ X Y | M T]
net shortwave at ground IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface nswg[ X Y | M T]
net shortwave at top IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface nswt[ X Y | M T]
outgoing longwave radation IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface olr[ X Y | M T]
orography IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface oro[ X Y | M T]
total precipitation IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface prec[ X Y | M T]
convective precipitation IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface precc[ X Y | M T]
large scale precipitation IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface precl[ X Y | M T]
precipitable water IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface pwat[ X Y | M T]
surface runoff IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface runoff[ X Y | M T]
snow depth IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface sd[ X Y | M T]
snowfall IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface sf[ X Y | M T]
sensible heat flux IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface sh[ X Y | M T]
sea ice fraction IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface sice[ X Y | M T]
land sea mask IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface slm[ X Y | M T]
mean sea level pressure IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface slp[ X Y | M T]
water equivalent snow depth IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface sni[ X Y | M T]
skin reservoir content IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface src[ X Y | M T]
surface temperature IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface st[ X Y | M T]
land surface temperature IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface stl[ X Y | M T]
soil wetness IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface sw[ X Y | M T]
2 meter temperature IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface t2m[ X Y | M T]
2 meter dew point temperature IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface t2md[ X Y | M T]
two meter maximum temperature IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface t2mmax[ X Y | M T]
two meter minimum temperature IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface t2mmin[ X Y | M T]
zonal wind stress IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface taux[ X Y | M T]
meridional wind stress IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface tauy[ X Y | M T]
10 meter u wind IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface u10m[ X Y | M T]
10 meter v wind IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface v10m[ X Y | M T]
10 meter wind speed IRI MP RESEARCH ATMOSPHERE GLOBAL ECHAM5 biasSST biasSST_proj_4059.D Monthly Surface wind10[ X Y | M T]