Kiss the Weatherman [Weaponizing Data]

Kiss the Weatherman by James Locus.

From the post:

Weather Hurts

Catastrophic weather events like the historic 2011 floods in Pakistan or prolonged droughts in the horn of Africa make living conditions unspeakably harsh for tens of millions of families living in these affected areas. In the US, the winter storms of 2009-2010 and 2010-2011 brought record-setting snowfall, forcing mighty metropolises into an icy standstill. Extreme weather can profoundly impact the landscape of the planet.

The effects of extreme weather can send terrible ripples throughout an entire community. Unexpected cold snaps or overly hot summers can devastate crop yields and forcing producers to raise prices. When food prices rise, it becomes more difficult for some people to earn enough money to provide for their families, creating even larger problems for societies as a whole.

The central problem is the inability of current measuring technologies to more accurately predict large-scale weather patterns. Weathermen are good at predicting weather but poor at predicting climate. Weather occurs over a shorter period of time and can be reliability predicted within a 3-day timeframe. Climate stretches many months, years, or even centuries. Matching historical climate data with current weather data to make future weather and climate is a major challenge for scientists.

James has a good survey of both data sources and researchers working on using “big data” (read historical weather data) for both weather (short term) and climate (longer term) prediction.

Weather data by itself is just weather data.

What other data would you combine with it and on what basis to weaponize the data?

No one can control the weather but you can control your plans for particular weather events.

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