Applications of Python

in water, climate, crop and earth sciences

Table of contents

1. Precipitation

1.1 Make precipitation map from IMD data

1.2 Extract annual maximum series over a location

1.3 Extreme rainfall analysis

1.4 IDF

2. Evapotranspiration

2.1 Estimate PET from weather data

2.2 Estimate EF from satellite data

3. Crop

3.1 Irrigation water requirements

3.2

4. Runoff

4.1 CN approach

4.2 Infiltration approach

4.3 Unit Hydrograph Approach

4.4 SWMM Rainfall-Runoff Model

5. Soil moisture

5.1 Soil hydraulic relationships

5.2 Bucket model

5.3 Soil moisture modelling using Richards' equation

6. Groundwater

6.1 AMBHAS ground water model

6.2 Pastas python package

7. Optimization

7.1 GA

7.2 GLUE

8. Miscellaneous

8.1 Computing mean from CDF