ccsfist/design-dashboard-djibouti

Design Dashboard Code for Djibouti # Design Dashboard This repository contains the **Design Dashboard**, a climate forecasting and risk assessment tool designed to support humanitarian aid decisions and agricultural planning. ## Quick Start Guide This guide will walk you through setting up the Design Dashboard from scratch, including data preparation, environment setup, and configuration. ### Prerequisites - **Python 3.9+** and **Conda** installed - **Git** for cloning the repository - **Basic knowledge** of Python and command line operations ### Step 1: Clone and Setup Repository ```bash # Clone the repository git clone github.com cd python-maproom-djibouti # Navigate to the fbfmaproom directory cd fbfmaproom ``` ### Step 2: Install Conda Environment **Choose the appropriate lock file for your operating system:** - **Linux (64-bit):** `conda-linux-64-design-dashboard.lock` - **macOS (Intel/64-bit):** `conda-osx-64-design-dashboard.lock` - **macOS (Apple Silicon/ARM64):** `conda-osx-arm64-design-dashboard.lock` - **Windows (64-bit):** `conda-win-64-design-dashboard.lock` ```bash # Create and activate the conda environment using the appropriate lock file # For Linux: conda create -n designdashboard --file conda-linux-64-design-dashboard.lock # For macOS Intel: conda create -n designdashboard --file conda-osx-64-design-dashboard.lock # For macOS Apple Silicon: conda create -n designdashboard --file conda-osx-arm64-design-dashboard.lock # For Windows: conda create -n designdashboard --file conda-win-64-design-dashboard.lock # Activate the environment conda activate designdashboard ### Step 3: Data Preparation The application requires three types of data files: **Note:** If you want to learn how to generate the forecast data yourself, check the PyCPT 2.5 Seasonal Forecast User Guide. All the forecasts for Djibouti can be found in the `python_maproom_djibouti` submodule folder. #### 3.1 Forecast Data (Zarr Format) **Source:** NetCDF fore …