codelassey/MET254-PROJECT-3

Comparing Spatial plots of precipitation flux data for Ghana in a past year and future year. # MET 254 Project 3 : Spatial Plots of Precipitation Flux Data for Ghana ## Project Overview This repository contains project for MET 254 (Python for Scientific Computing). The objective of the project is to create spatial plots showing the mean precipitation flux (in mm/day) for each month of a past year and a future year (2090) over Ghana, using precipitation flux data from a NetCDF dataset. The plots are overlaid on a map of Ghana, highlighting its ecological zones (Sudan Savannah, Guinea Savannah, Transition Zone, Forest, and Coast). The project uses Python libraries such as `xarray`, `matplotlib`, `cartopy`, and `PIL` to process the data and generate the visualizations. ## Repository Contents - `MET254PROJECT3.ipynb`: Jupyter Notebook containing the Python code for data processing and visualization. - `journal.png`: Map of Ghana showing ecological zones and major cities, used as the base image for the spatial plots. - `MET254_data.nc`: NetCDF dataset containing precipitation flux data (Note: a download link is provided below). - `2090_Prep.png`: Output image showing the spatial plots of mean precipitation for each month in 2090. - `2000_Prep.png`: Output image showing the spatial plots of mean precipitation for each month in 2000. - `README.md`: This file, providing an overview and instructions for the project. ## Dataset The dataset `MET254_data.nc` contains precipitation flux data (`rain`) from 1971 to 2100, with dimensions: - Time: 47,482 time steps (daily data from 1971 to 2100). - Latitude: 37 points (4.51°N to 12.43°N). - Longitude: 23 points (-3.41°E to 1.43°E). - Variable: `rain` (precipitation flux in mm/day). **Download Link** : [drive.google.com]. ## Requirements To run the code in this project, you need the following Python libraries: - `xarray` - `matplotlib` - `cartopy` - `Pillow` (PIL) - `numpy` (usually installed with `xarray`) Additionally, you may need to install netC …