Download data from RUNOFF_seasonal%2Enc


Parent directory

Global attributes

NC_GLOBAL
DODS_EXTRA
Unlimited_Dimension
TIME

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.

RUNOFF

:

:

:

units
(kg/s)/m^2
long_name
water flux: runoff
missing_value
-999.0

grid_x_T

:

units
degree_east
long_name
Nominal Longitude of T-cell center
cartesian_axis
X
grads_dim
x

grid_y_T

:

units
degree_north
long_name
Nominal Latitude of T-cell center
cartesian_axis
Y
grads_dim
y

TIME

:

long_name
time
modulo
time_origin
01-JAN-1900 00:00:00
units
days since 1900-01-01 00:00:00
cartesian_axis
T
calendar_type
JULIAN
grads_dim
t
axis
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/RUNOFF_seasonal.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/RUNOFF_seasonal.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/RUNOFF_seasonal.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/RUNOFF_seasonal.nc")
>>> import pprint
>>> pprint.pprint( dataset.keys() )
['RUNOFF', 'grid_x_T', 'grid_y_T', '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/RUNOFF_seasonal.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