Scripts developed to calculate the SPI and to be applied to FillMatrix of MOHID.
This script was developed based on the Standard Precip package:
- Author - Eric Nussbaumer ([email protected])
- Website: https://github.com/e-baumer/standard_precip/tree/master
The run_SPI.py script uses a data frame with a format of:
| Date | Station1 | Station2 |
|---|---|---|
| 01/01/1990 | PrecipValue1 | PrecipValue2 |
| 02/01/1990 | PrecipValue1 | PrecipValue2 |
The script opens this data frame and calculates the SPI based on Normal, Dry, and Wet years for at least 30 years. Then, a precipitation average is done for each category (Dry, Normal, and Wet years). In the end, a time series with three precipitations is saved for each station.
SERIE_INITIAL_DATA : 2022 01 01 00 00 00
TIME_UNITS : DAYS
!time dry wet normal
Values Calculated by the run_SPI.py script
The run_find_station_fillmatrix.py script opens a specific Excel file, which has the station name, latitude, and longitude information:
| Station Name | Latitude | Longitude |
|---|---|---|
| Station 1 | x | y |
| Station 2 | x | y |
The script finds the stations and copies the coordinates information into a .dat file. This .dat file has a format to be applied to the Fillmatrix of the MOHID Model (http://wiki.mohid.com/index.php?title=FillMatrix).