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The future long term average was calculated using the modified Ollerenshaw method and average climate data from 2030 2070, at a resolution of 25 km squares.
The predictive power of the model was first evaluated using the test dataset, comprised of the remaining 20% of the 1961 1990 long term average climate data (n = 1054).
We based model projections into the future on predicted average climate data for the period 2070 2099 for the four Intergovernmental Panel on Climate Change climate change scenarios (A1 (A2FI), A2, B1 and B2) [49], which represent different assumptions regarding economic growth, technology, demographic changes and governance [1].
Hopp and Foley (2001) incorporated global average climate data that was linearly downscaled to 1° resolution into an Ae. aegypti population model.
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Climate layers were produced through interpolation of average monthly climate data (i.e., monthly precipitation, and monthly mean, minimum and maximum temperature) from weather stations on a 30 arc-second resolution grid (commonly referred to as "1-km2" resolution; ∼0.86 km2 at the equator).
36, 37 This source provides a set of data layers generated through interpolation of average monthly climate data obtained during the period 1950 2000.
We calculated the remoteness of regions covering the entire globe from emission sources distributed according to light emissions, and taking into account the multimedia partitioning properties of chemicals and using averaged global climate data.
We study the Sun climate relationship by averaging solar and climate data at various time scales; decadal, solar activity and solar magnetic cycles.
If there were more than one weather station per county, we averaged the monthly climate data for those stations for each climate variable.
This altitude information was used to adjust the temperature value at each sample location relative to the average altitude of the climate data grid at that point, based on a lapse rate of 6 degrees K per 1000 m altitude.
The hot season has an average maximum temperature of 26.3 °C, while the cold season has an average minimum temperature of 11.1 °C (Climate data from 1981 to 2017, Pogodaiklimat 2016).
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