Posts Tagged ‘Wind’
Earth is an interactive web-based visualisation of global wind conditions, based on readings and supercomputer forecasts of current and future weather conditions. Not only does it render this data live within the browser; it also allows for the interactive display of multiple height readings, overlays, and cartographic projection types.
Here in our headquarters inside the Variable 4 windmill, we keep an ear to the ground for innovative and engaging weather-related artworks. We’re putting together a collection to publish shortly, but in the meantime, we couldn’t resist mentioning this piece. Merel Karhof’s Wind Knitting Factory is a mechanical device which harnesses wind power to produce a neverending scarf, which is occasionally harvested to produce wearable garments.
In a charming touch, the product is linked to the process with a label indicating the date and time taken to knit each garment.
The group’s blog includes a collection of images of urban windmills, and an adaptation of the idea into wearable brooches which convey the air movement created when the wearer moves around.
As a followup to our earlier post on weather data from Romney Marsh, here’s a quick circle plot of the wind direction over the same time period (30 April – 6 May 2010).
It seems to tally pretty closely with the Met Office commentary on southern wind patterns: prevailing south-westerlies from the passing Atlantic depressions, alongside seasonal winds from the north-east due to high pressure over Scandinavia.
In the process of analysing the local weather data to help us anticipate the likely conditions for Variable 4, we have been graphing and visualisating historical data. With the help of statistical techniques such as cluster analysis, this is helping us gain some understanding of how weather conditions are distributed and correlated.
Below are box plots of some of the more prominent conditions, recorded over the past 7 days. These give us some idea of the probable variance of each criterion during a 24-hour period.
Many thanks to Dave at Romney Marsh Weather for the data.