Library for querying the Johns Hopkins Turbulence Database.
DEMO notebooks for the various compute environments are provided at the Johns Hopkins Turbulence github.
DEMO_SciServer_python_notebooks.zip
DEMO_wind_SciServer_python_notebooks.zip
The SciServer is a cloud-based data-driven cluster of The Institute for Data Intensive Engineering and Science (IDIES) at Johns Hopkins University. Users get the advantages of more reliable and faster data access since the SciServer is directly connected to the Johns Hopkins Turbulence Database (JHTDB) through a 10 Gigabit ethernet connection. SciServer provides containers with giverny
, and all dependent libraries, pre-installed.
Please go to SciServer to create an account, and access more information as well as help on SciServer.
To use giverny
through Sciserver:
- Login to SciServer.
- Click on Compute and then Create container.
- Can also run jobs in batch mode, by selecting Compute Jobs.
- Type in a Container name, in Compute Image select SciServer Essentials 4.0, in Data volumes mark Turbulence (ceph) and Turbulence Windfarm (ceph), and then click on Create.
- Click on the container you just created to start using giverny with Python and JupyterLab.
DEMO_local_python_notebooks.zip
DEMO_wind_local_python_notebooks.zip
The first cell in the notebook runs the pip
install command for the givernylocal
library and all dependencies:
pip install --upgrade givernylocal
If you do not have pip
on your system, it is quite easy to get it following the instructions at: http://pip.readthedocs.org/en/latest/installation.
DEMO_local_matlab_notebooks.zip
DEMO_wind_local_matlab_notebooks.zip
DEMO_C.tar
Please see the README inside the archive.
DEMO_F.tar
Please see the README inside the archive.
While our service is open to anyone, we would like to keep track of who is using the service, and how. To this end, we would like each user or site to obtain an authorization token from us: JHTDB authorization token
For simple experimentation, the default token included in the package should be valid.