Example SQL for Stations

Back to WCS Access to netCDF Files

A Real life example how to serve station timeseries point data through WCS data access protocol.

AIRNOW

AIRNOW

Daily PM 2.5, PM 10 and Ozone data can be downloaded from date encoded folders:

http://www.epa.gov/airnow/2011/20110705/

The Design of the SQL Database

The most flexible method of storing station time series point data is an SQL database. Typically, the collector of the data designs a schema, that captures all the measured data, metadata of the measurements, station instrument information etc. This typically requires a database with lots of tables and relationships between them. There is no one-size-fits-all design around, because requirements for data collecting systems are different.

Fortunately, relational databases were invented just to solve this standardization problem:

The complex database on the left is the real data storage, which is not an easy thing to understand.

On the right, is the requirement for the WCS: a flat, simple table listing place, time and data value.

The tool that brings these two together is an SQL View. It allows the administrator to create a view, a virtual table, that can be queried with a simple filter, taking the complexity off from the WCS point access system.

Data Views in SQL

the importance of views, flexibility of SQL, snapshot views

creating data views

calculating statistics to filter the location table

Configuring the WCS Service and WFS Service for point data

WFS for locations

WCS for data

using python dictionaries ??