Progress: 2A Extreme Winds

Catalog-driven search using OGC CSW allowed for dynamic updating as new datasets become available (or inactive).
Data from both OPeNDAP-CF and SOS endpoints were discovered, accessed and used. The accessing of SOS endpoint leveraged IOOS driven tools (PYOOS) including the new bounding box filtering feature from release 0.6.2.
Historic observation datasets of sufficient length for extreme value analysis (10+ years) were discovered, accessed, and used to create return period plots (Figure 1).
Modeled hindcast datasets from the Wave Information Studies (WIS) for extreme value analysis (20+ years) were downloaded and saved to a JSON file and subsequently used to create return period plot (Figure 2).
Using wind speed and direction data, wind rose plots were constructed for each station.
An inline interactive map interface displays the locations of observation data and corresponding model grid points (Figure 2). The wind rose plots were saved and embedded in the popup box for each station.

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Figure 1: Time series of all available wind speed data from NDBC station 46086.

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Figure 2: Return period plot of wind speed for NDBC station 46086 and nearest WIS Station 63255.

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Figure 3: Map showing locations of NDBC station (green) and nearest WIS station (purple).

The execution time of getting the data through the SOS server was extremely slow, so the data was extracted directly from a DAP endpoint. A function was written to aggregate all the datasets into a single netCDF file for easy processing.
Not all of the datasets use the same standard name for winds, so it can be difficult to find all the names to search for. After some trial and error I came up with the following list.

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SOS is not ideal for extracting large datasets. The requests need to be split into 31 day requests (#81) and the servers time out often.

ioos / system-test