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DAILY MEAN TEMPERATURE FORMULAS AND TRUE DAILY MEAN

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DAILY MEAN TEMPERATURE FORMULAS. AND TRUE DAILY MEAN. Glen Conner. Kentucky State Climatologist Emeritus. Cosponsored. by. Kentucky Climate Center. and ... – PowerPoint PPT presentation

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Title: DAILY MEAN TEMPERATURE FORMULAS AND TRUE DAILY MEAN


1
DAILY MEAN TEMPERATURE FORMULAS AND TRUE DAILY
MEAN
  • Glen Conner
  • Kentucky State Climatologist Emeritus
  • Cosponsored
  • by
  • Kentucky Climate Center
  • and
  • Climate Database Modernization Program

2
Paired Observations Formulas
  • Homonymous times were convenient
  • F9 (h06h18)/2
  • F17 (h07h19)/2
  • F19 (h08h20)/2
  • F21 (h09h21)/2
  • F2 (h10h22)/2
  • Note
  • F is formula number
  • H is hour of observation

3
Triad Observation Formulas
  • Three times per day were better
  • F5 (h06h12h17)/3
  • F6 (h06h12h19)/3
  • F7 (h06h14h21)/3
  • F8 (h06h14h22)/3
  • F10 (h07h12h18)/3
  • F11 (h07h13h21)/3
  • F12 (h07h13h22)/3
  • F14 (h07h14h20)/3
  • F15 (h07h14h21)/3
  • F16 (h07h15h23)/3
  • F18 (h08h14h20)/3
  • F20 (h09h15h21)/3

4
Combination Observation Formulas
  • Combinations were too complex
  • F1 (h07h14h14h21h21h31)/6
  • F3 (h03h07h11h15h19h23)/6
  • F4 (h03h09h15h21)/4
  • F13 (h07h14h21h21)/4

5
Maximum-Minimum Formulas
  • Maximum Minimum were most convenient
  • F22 (xminxmax)/2
  • F23 (xminh15)/2
  • F24 (xminxmaxh08h20)/4
  • F25 (xminxmaxh09h21)/4

6
Sorted Annual Deviations from True Mean
7
Proposal for Monograph
  • No recent comprehensive study of these formulas
  • No recent compilation or analysis of them
  • Write a reference document for climate
    researchers to
  • Describe each of 25 prescribed daily mean
    formulas
  • Discuss how and why the formulas varied
  • Explain the rationale for those variances
  • Compare them to the true daily mean
  • Identify correction factors for each formula
  • Determine spatial variations in the corrections

8
Conclusion
  • CDMPs nineteenth century climate datasets
  • Will become the baseline for climate studies
  • Before sites were moved downtown
  • On top of tall buildings
  • Amid urbanization problems
  • Before sites were moved to airports
  • New baseline presents new problems of analysis
  • Prescribed means formula problems
  • Not encountered before
  • A reference document is needed
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