Resolution QA

• Summary of Resolution Quality Checks
  • Understanding Precipitation Resolution
    • Understanding Digital Resolution
    • How Resolution Impacts Precipitation
    • Incorporating Averaging
    • Resolution of HJA Sensors
    • Looking at Signal Bounce
      • Bounce During Dry Periods
      • Impact of Averaging
      • Efforsts to Reduce Signal Noise
  • How Big an Impact Does This Have?
    • Daily Reduction in Precip
    • Water Year Reduction in Precip
    • Number of Days Per Year Without Precipitation
  • Quality Checks/Rules
    • Round Precip to Min Increment
      • Rain Day Becomes Dry Day
      • Small Rain Event Persists
      • Rounding During Rain Events
• Precipitation Resolution and Sensor Precision
  • What’s Recorded in HJA Data
  • What is Our Sensor Precision
    • Converting Tank Depth to Precip
    • Converting Sensor Precision to Precip Precision
  • What is Logger Precision
    • Converting Signal to mm
  • Does Precision Match the Noise in Our Data?
    • UPLO SA
      • Expected Noise
      • Estimating Noise
      • After Averaging
    • CEN SH
      • Expected Noise
      • Before Averaging
      • After Averaging
    • Quick Numbers for Other Sites
    • Observed Noise Summary
  • Choosing an Increment for Precip Data
  • Rounding to Nearest Increment
    • Check Rounding: Floating Point Errors
    • Accumulating What Rounded Off
    • How Big is the Reduction in Precip
      • CENT SH
      • CENT SA
      • Post QA Data
    • Looking at Days with Reduction
      • Reductions on Rainy Days
      • UPLO SA
  • Summary
• PAT Resolution
  • Sensor Fundamentals
  • Logger Precision
  • Sensor Precision
    • Deriving Precision from Data Bounce
      • H15
      • MACK
  • Rounding