A 30-Year Synthetic Climate Dataset for Ghana

This repository provides a 30-year fully synthetic climate dataset for Ghana (1996–2025) generated using the Climate Data Simulation (CDSim) framework. The dataset represents a World Meteorological Organization (WMO) climatological normal and includes continuous monthly time series of minimum temperature, maximum temperature, and precipitation (rainfall only) across simulated stations representing Ghana’s major ecological zones. The data are produced using stochastic simulation techniques that preserve realistic seasonal structure, variability, and temporal persistence while containing no proprietary or observational records. As a result, the dataset is fully reproducible and unrestricted for reuse. It is intended for method development, model benchmarking, machine-learning experiments, educational purposes, and reproducible climate data workflows, rather than operational forecasting or policy analysis. The dataset is provided in CSV and NetCDF formats and complies with FAIR data principles.本仓库提供一套针对加纳（1996–2025年）的30年全合成气候数据集，该数据集基于气候数据模拟（Climate Data Simulation, CDSim）框架生成。本数据集符合世界气象组织（World Meteorological Organization, WMO）的气候标准值规范，涵盖代表加纳主要生态区的模拟气象站点的逐月连续时间序列数据，包含最低气温、最高气温及降水（仅降雨项）。该数据集采用随机模拟技术生成，可保留真实的季节结构、变异性与时序持续性，且未包含任何专有或观测记录。因此，本数据集具备完全可复现性，可无限制重复使用。其适用场景包括方法开发、模型基准测试、机器学习实验、教学用途以及可复现的气候数据工作流，而非用于业务预报或政策分析。本数据集以CSV与NetCDF格式提供，并符合FAIR数据原则。