AquaBEHER 1.4.0

[RobelTakele]

AquaBEHER 1.4.0

🆕 Added

• 🛠 Parameter Validation: An improved and more robust version of the
  parameter validation checks, along with additional data quality and
  validation checks for the seasFcstQBR function.

  • 🔍 Input Validation: Checks added for hisYearStart,
    hisYearEnd, and the structure of seasRain and hisWSCvar.

  • ❓ Null and Missing Checks: Added is.null and is.na checks
    for rainTerc and key data columns.

  • ⚠ Unrealistic Data Warning: Warnings for unrealistic hisWSCvar
    values (e.g., values outside 0-365 days) and negative rainfall
    values.

  • 📅 Year Filtering: Ensures seasRain and hisWSC match on
    years after filtering.

• 🧪 Testing Structure: Established testing structure using
  testthat for the seasFcstQBR function.

• 📖 Documentation: Added a Seasonal Forecast section to the
  vignette.

🔄 Changed

• 📚 Documentation: Improved documentation for seasFcstQBR.

• 🔄 Function Name: Changed the function name from seasFcst to
  seasFcstQBR.

• 📝 DESCRIPTION File: Edited the DESCRIPTION file as directed by
  CRAN.

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This discussion was created from the release AquaBEHER 1.4.0.

[gtemesgen]

How can we get the input for the seasonal forecast of rainfall ?

[RobelTakele]

One way to obtain seasonal forecast of rainfall in the form of categorical tercile forecasts is from national meteorological offices, get the forecast and import it as a dataframe.

eg. for the seasonal rainfall forecast with tercile probability of Below Normal = 15%, Normal = 10% and Above Normal = 75%; you can import it as:
rainTerc <- data.frame(T1 = 0.15, T2 = 0.10, T3 = 0.75)

[RobelTakele]

One way to obtain seasonal forecast of rainfall in the form of categorical tercile forecasts is from national meteorological offices, get the forecast and import it as a dataframe.

eg. for the seasonal rainfall forecast with tercile probability of Below Normal = 15%, Normal = 10% and Above Normal = 75%; you can import it as:
rainTerc <- data.frame(T1 = 0.15, T2 = 0.10, T3 = 0.75)