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How to determine best months for Products
In the attached workbook, I have 25 Yearly groupings of data (Rows - daily Minimum and Maximum temperatures ) and (Columns - Months). To the right of this, is my first attempt to determine which months for the Year 2000, have increased risk levels for Products A & B. Both Products are temperature constrained, with Product A will not work if temp is at or below 10°C, and is hazardous to the colony at temps 29.5°C or above, and Product B will not work at or below 15°C or at 40°C or above. In the right most data group, Columns AB:AM, you can see that I am attempting to find the number of days in the month, days in the month with Temps above 29.5°C, those days found expressed as a % of days in the month. Note I didn't bother calculating the risk level for 40°C because its extremely rare for our location to reach this result.
Then in the lower part of the right most data group, I then determine the days in the month for three seperate temps ( 10°C, 12°C & 15°C), then converted those days found into % of days per month.
The 12°C is as a result of attempting to build in a safety margin of 2°C for Product A. The main reason behind this that cold temps take considerably longer to increase, in our location due to shorter daylight lengths. This may result in 8 to 10 hours (33% to 42% of each 24 hour period, potentially allowing the product to work) of temps above the minimum limit. Varroa don't start their work day at 8am and knock off at 5pm. This will have a major limiting factor for the efficacy of the Product when applied.
I could rebuild this data group for each year but this will be extremely time consuming, and with all the formulas, very resource consuming as well. Is there a better method?
Eventually I need to compare the yearly results by establishing a whole of period (25 years data) to build sufficient evidence of which months are consistently Extremely High, Potentially or Minimal risk for the application of either Product A or B.
Can anyone assist me in either suggesting a method or a series of methods whereby I can achieve this result?