Directions 2025/04/25

[rburghol]

• Magnitude (quantity)
  • NLDAS2 has low precip in last 5-10 years
  • daymet (or PRISM?) consistently higher
• Frequency:
  • Phantom storms
    • indirect: storm pulse counts, perhaps using IHA or some equivalent
    • direct: find the actual phantom storms, perhaps using stormSep functions GEO_MET_MODEL option 3: Storm Hydrograph Analysis and Precip/Hydrograph Volume Analysis #60
• Timing:
  • seasonality (simple lm method, i.e., a data source is best for a given)
  • model performance metric to quantify seasonal fit is monthly low-flow or high flow
    • e.g. How does August Low Flow (ALF) compare every year model to model?
• Duration
  • Design storms
  • Duration of individual events defined in stormSep function above or pulse duration from IHA (is that available?)
• Rate of change
  • Stormsep tracks rising and falling limbs coefficients. Useful?
• Storm vol model visualizations
  • storm size categories
  • monthly storm charts broken out