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Description
Scenario 1: Connecting Climate with Aircraft Performance
Over the years we’ve seen increases in surface temperatures and atmospheric temperatures, driven by climate change. We are interested in understanding how increasing atmospheric temperature directly affects the domain of aircraft performance via physical laws.
Let’s begin by plotting historical and forecasted temperature for select locations - Guam and Little Rock, Arkansas.
- Search for historical data and climate model output (for future projections) for monthly mean of the daily maximum temperature. For climate model data, search for CMIP5 or CMIP6 outputs.
- For each of the two locations (Guam, and Little Rock), plot monthly mean of the daily maximum temperature (daily Tmax) for Jan – Dec for the following:
- With historical observed data of Tmax, 1970 – 1999
- Climate model output for Tmax, 1970—1999 (how well does model output reproduce the observed data?)
- Climate model output for Tmax, 2020—2049 (future forecast)
- Climate model output for Tmax, 2040—2069 (future forecast)
- Climate model output for Tmax, 2060—2099 (future forecast)
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The US Andersen Air Force Base (https://www.andersen.af.mil/) is located in Guam. For the rest of the questions in this scenario, we are interested in a spatial scale relevant to the size of the base – 50 km. If needed, run downscaling algorithms on the climate data found in Q1, to match this spatial scale.
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This question asks you to explore how aircraft takeoff distance may be affected by increasing temperatures (as forecasted by climate models). To calculate takeoff distance, you will have to take the temperature data from Q1-3 climate model outputs, and transform it according to Figure 1, and the following equations
