For the snow case example, Global Forecast System (GFS) forecast files initialized at 00 UTC on 20160123 out 24 hours in 3-hr increments are provided. Prepbufr files from the North American Data Assimilation System (NDAS) are provided for point verification and data assimilation, and MRMS precipitation analyses are included for gridded verification purposes.
There are two options for establishing the image from which the data container will be instantiated:
- Pull the image from Docker Hub
- Build the image from scratch
Please follow the appropriate section below that fits your needs.
Option 1: Pull the dtcenter/snow image from Docker Hub
If you do not want to build the image from scratch, simply use the prebuilt image by pulling it from Docker Hub.
docker pull dtcenter/snow
To instantiate the case data container, type the following:
To see what images you have available on your system, type:
To see what containers you have running on your system, type:
Option 2: Build the dtcenter/snow image from scratch
To access the model initialization data for the snow case from the Git repository and build it from scratch, first go to your project space where you cloned the repository:
and then build an image called dtcenter/snow:
This command goes into the case_data/snow_20160123 directory and reads the Dockerfile directives. Please review the contents of the case_data/snow_20160123/Dockerfile for additional information.
To instantiate the case data container, type the following:
To see what images you have available on your system, type:
To see what containers you have running on your system, type: