Download data from cgcm_prec_forecast_djf%2Enc


Parent directory

Global attributes

NC_GLOBAL
contact
Dr. Paulo Nobre <pnobre@cptec.inpe.br>
history
1981 to 2007 DJF precipitation forecasts made with CPTEC CGCM

Downloading data

In the form below you can specify desired variables and their dimensions, and have the data downloaded in different formats depending on the server configuration.

LAT

:

units
degrees_north
grads_dim
y

LON

:

units
degrees_east
modulo
grads_dim
x

precipitation

:

:

:

:

units
Kg M**-2 Day**-1
long_name
Total precipitation
missing_value
1e+20

ENSEMBLE

:

grads_dim
e

TIME

:

units
months since 1981-12-16 0000
grads_dim
t

as

Downloading data with Ferret

To access this dataset with the Ferret visualization and analysis environment from PMEL:

$ ferret
yes? use "http://opendap.ccst.inpe.br/public/CGCM/cgcm_prec_forecast_djf.nc"
yes? show data

Downloading data with GrADS

To access this dataset with the GrADS data analysis and visualization software developed by COLA:

$ gradsdap
ga-> sdfopen http://opendap.ccst.inpe.br/public/CGCM/cgcm_prec_forecast_djf.nc
ga-> query file

Downloading data with IDL

To access this dataset with the OPeNDAP IDL Client, a tool for the IDL data analysis and visualization package:

IDL> url = 'http://opendap.ccst.inpe.br/public/CGCM/cgcm_prec_forecast_djf.nc'
IDL> stat = opendap_get(url, def, mode='dds')
IDL> help, def, /structures

Downloading data with Pydap

To access this dataset using the Pydap Python module:

$ python
>>> from pydap.client import open_url
>>> dataset = open_url("http://opendap.ccst.inpe.br/public/CGCM/cgcm_prec_forecast_djf.nc")
>>> import pprint
>>> pprint.pprint( dataset.keys() )
['LAT', 'LON', 'precipitation', 'ENSEMBLE', 'TIME']

Downloading data with other Opendap clients

There are other Opendap clients that can access this dataset, including Matlab and several command line utilities. You should know that the URL for this dataset is http://opendap.ccst.inpe.br/public/CGCM/cgcm_prec_forecast_djf.nc (i.e., the .html extension should be omitted when opening this dataset on an Opendap client).

Open in Google Earth.


pydap/3.1.RC1